CVPR - RankMe – RankMe

1466 papers

Year	Title / Authors
2020	"Looking at the Right Stuff" - Guided Semantic-Gaze for Autonomous Driving. Anwesan Pal, Sayan Mondal, Henrik I. Christensen
2020	12-in-1: Multi-Task Vision and Language Representation Learning. Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee
2020	15 Keypoints Is All You Need. Michael Snower, Asim Kadav, Farley Lai, Hans Peter Graf
2020	2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020
2020	3D Human Mesh Regression With Dense Correspondence. Wang Zeng, Wanli Ouyang, Ping Luo, Wentao Liu, Xiaogang Wang
2020	3D Packing for Self-Supervised Monocular Depth Estimation. Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon
2020	3D Part Guided Image Editing for Fine-Grained Object Understanding. Zongdai Liu, Feixiang Lu, Peng Wang, Hui Miao, Liangjun Zhang, Ruigang Yang, Bin Zhou
2020	3D Photography Using Context-Aware Layered Depth Inpainting. Meng-Li Shih, Shih-Yang Su, Johannes Kopf, Jia-Bin Huang
2020	3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior. Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng, Hongsheng Li
2020	3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation. Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, Matthias Nießner
2020	3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset. Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, Thomas B. Moeslund
2020	3DRegNet: A Deep Neural Network for 3D Point Registration. Gonçalo Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa, Pedro Miraldo
2020	3DSSD: Point-Based 3D Single Stage Object Detector. Zetong Yang, Yanan Sun, Shu Liu, Jiaya Jia
2020	3DV: 3D Dynamic Voxel for Action Recognition in Depth Video. Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou, Junsong Yuan
2020	3FabRec: Fast Few-Shot Face Alignment by Reconstruction. Björn Browatzki, Christian Wallraven
2020	4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras. Yuxiang Zhang, Liang An, Tao Yu, Xiu Li, Kun Li, Yebin Liu
2020	4D Visualization of Dynamic Events From Unconstrained Multi-View Videos. Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan
2020	A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation. Ji Zhao, Wanting Xu, Laurent Kneip
2020	A Characteristic Function Approach to Deep Implicit Generative Modeling. Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh
2020	A Context-Aware Loss Function for Action Spotting in Soccer Videos. Anthony Cioppa, Adrien Deliège, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, Thomas B. Moeslund
2020	A Disentangling Invertible Interpretation Network for Explaining Latent Representations. Patrick Esser, Robin Rombach, Björn Ommer
2020	A Graduated Filter Method for Large Scale Robust Estimation. Huu Le, Christopher Zach
2020	A Hierarchical Graph Network for 3D Object Detection on Point Clouds. Jintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, Jian Wu
2020	A Lighting-Invariant Point Processor for Shading. Kathryn Heal, Jialiang Wang, Steven J. Gortler, Todd E. Zickler
2020	A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation. Anyi Rao, Linning Xu, Yu Xiong, Guodong Xu, Qingqiu Huang, Bolei Zhou, Dahua Lin
2020	A Model-Driven Deep Neural Network for Single Image Rain Removal. Hong Wang, Qi Xie, Qian Zhao, Deyu Meng
2020	A Morphable Face Albedo Model. William A. P. Smith, Alassane Seck, Hannah M. Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger
2020	A Multi-Hypothesis Approach to Color Constancy. Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh
2020	A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection. Zhihao Chen, Lei Zhu, Liang Wan, Song Wang, Wei Feng, Pheng-Ann Heng
2020	A Multigrid Method for Efficiently Training Video Models. Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
2020	A Neural Rendering Framework for Free-Viewpoint Relighting. Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N. Kutulakos, Jingyi Yu
2020	A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset. Jin Liu, Shunping Ji
2020	A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising. Kaixuan Wei, Ying Fu, Jiaolong Yang, Hua Huang
2020	A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors. Edward Kim, Divya Gopinath, Corina S. Pasareanu, Sanjit A. Seshia
2020	A Quantum Computational Approach to Correspondence Problems on Point Sets. Vladislav Golyanik, Christian Theobalt
2020	A Real-Time Cross-Modality Correlation Filtering Method for Referring Expression Comprehension. Yue Liao, Si Liu, Guanbin Li, Fei Wang, Yanjie Chen, Chen Qian, Bo Li
2020	A Self-supervised Approach for Adversarial Robustness. Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli
2020	A Semi-Supervised Assessor of Neural Architectures. Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
2020	A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning. Dat Huynh, Ehsan Elhamifar
2020	A Sparse Resultant Based Method for Efficient Minimal Solvers. Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä
2020	A Spatial RNN Codec for End-to-End Image Compression. Chaoyi Lin, Jiabao Yao, Fangdong Chen, Li Wang
2020	A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim
2020	A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould
2020	A Transductive Approach for Video Object Segmentation. Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin
2020	A U-Net Based Discriminator for Generative Adversarial Networks. Edgar Schönfeld, Bernt Schiele, Anna Khoreva
2020	A Unified Object Motion and Affinity Model for Online Multi-Object Tracking. Junbo Yin, Wenguan Wang, Qinghao Meng, Ruigang Yang, Jianbing Shen
2020	A Unified Optimization Framework for Low-Rank Inducing Penalties. Marcus Valtonen Örnhag, Carl Olsson
2020	A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection. Yongri Piao, Zhengkun Rong, Miao Zhang, Weisong Ren, Huchuan Lu
2020	AANet: Adaptive Aggregation Network for Efficient Stereo Matching. Haofei Xu, Juyong Zhang
2020	ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network. Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, Lianwen Jin, Liangwei Wang
2020	ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning. Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi
2020	AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification. Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian
2020	ADINet: Attribute Driven Incremental Network for Retinal Image Classification. Qier Meng, Shin'ichi Satoh
2020	ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox
2020	AOWS: Adaptive and Optimal Network Width Search With Latency Constraints. Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gérard G. Medioni
2020	APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han
2020	ARCH: Animatable Reconstruction of Clothed Humans. Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung
2020	ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes. Daquan Liu, Chengjiang Long, Hongpan Zhang, Hanning Yu, Xinzhi Dong, Chunxia Xiao
2020	ASLFeat: Learning Local Features of Accurate Shape and Localization. Zixin Luo, Lei Zhou, Xuyang Bai, Hongkai Chen, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan
2020	Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network. Fukun Yin, Shizhe Zhou
2020	Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2020	ActBERT: Learning Global-Local Video-Text Representations. Linchao Zhu, Yi Yang
2020	Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs. Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles
2020	Action Modifiers: Learning From Adverbs in Instructional Videos. Hazel Doughty, Ivan Laptev, Walterio W. Mayol-Cuevas, Dima Damen
2020	Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation. Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira
2020	ActionBytes: Learning From Trimmed Videos to Localize Actions. Mihir Jain, Amir Ghodrati, Cees G. M. Snoek
2020	Active 3D Motion Visualization Based on Spatiotemporal Light-Ray Integration. Fumihiko Sakaue, Jun Sato
2020	Active Speakers in Context. Juan León Alcázar, Fabian Caba, Long Mai, Federico Perazzi, Joon-Young Lee, Pablo Arbeláez, Bernard Ghanem
2020	Active Vision for Early Recognition of Human Actions. Boyu Wang, Lihan Huang, Minh Hoai
2020	ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture. Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua
2020	Actor-Transformers for Group Activity Recognition. Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan, Cees G. M. Snoek
2020	AdaBits: Neural Network Quantization With Adaptive Bit-Widths. Qing Jin, Linjie Yang, Zhenyu Liao
2020	AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation. Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee
2020	AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang
2020	Adaptive Dilated Network With Self-Correction Supervision for Counting. Shuai Bai, Zhiqun He, Yu Qiao, Hanzhe Hu, Wei Wu, Junjie Yan
2020	Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment. Qiuyu Chen, Wei Zhang, Ning Zhou, Peng Lei, Yi Xu, Yu Zheng, Jianping Fan
2020	Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection. Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu
2020	Adaptive Hierarchical Down-Sampling for Point Cloud Classification. Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani, Bingbing Liu, Jun Luo
2020	Adaptive Interaction Modeling via Graph Operations Search. Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai
2020	Adaptive Loss-Aware Quantization for Multi-Bit Networks. Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele
2020	Adaptive Subspaces for Few-Shot Learning. Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
2020	AdderNet: Do We Really Need Multiplications in Deep Learning? Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2020	Advancing High Fidelity Identity Swapping for Forgery Detection. Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen
2020	Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang
2020	Adversarial Examples Improve Image Recognition. Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le
2020	Adversarial Feature Hallucination Networks for Few-Shot Learning. Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu
2020	Adversarial Latent Autoencoders. Stanislav Pidhorskyi, Donald A. Adjeroh, Gianfranco Doretto
2020	Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang
2020	Adversarial Texture Optimization From RGB-D Scans. Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser
2020	Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. Saehyung Lee, Hyungyu Lee, Sungroh Yoon
2020	AdversarialNAS: Adversarial Neural Architecture Search for GANs. Chen Gao, Yunpeng Chen, Si Liu, Zhenxiong Tan, Shuicheng Yan
2020	Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules. Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, John F. Canny
2020	Affinity Graph Supervision for Visual Recognition. Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
2020	Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi
2020	All in One Bad Weather Removal Using Architectural Search. Ruoteng Li, Robby T. Tan, Loong-Fah Cheong
2020	Alleviation of Gradient Exploding in GANs: Fake Can Be Real. Song Tao, Jia Wang
2020	An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics. Quentin Bammey, Rafael Grompone von Gioi, Jean-Michel Morel
2020	An Efficient PointLSTM for Point Clouds Based Gesture Recognition. Yuecong Min, Yanxiao Zhang, Xiujuan Chai, Xilin Chen
2020	An End-to-End Edge Aggregation Network for Moving Object Segmentation. Prashant W. Patil, Kuldeep Marotirao Biradar, Akshay Dudhane, Subrahmanyam Murala
2020	An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs. You Huang, Yuanlong Yu
2020	An Investigation Into the Stochasticity of Batch Whitening. Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2020	Analyzing and Improving the Image Quality of StyleGAN. Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
2020	AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. Muhammad Haris Khan, John McDonagh, Salman H. Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos
2020	Anisotropic Convolutional Networks for 3D Semantic Scene Completion. Jie Li, Kai Han, Peng Wang, Yu Liu, Xia Yuan
2020	Appearance Shock Grammar for Fast Medial Axis Extraction From Real Images. Charles-Olivier Dufresne Camaro, Morteza Rezanejad, Stavros Tsogkas, Kaleem Siddiqi, Sven J. Dickinson
2020	Approximating shapes in images with low-complexity polygons. Muxingzi Li, Florent Lafarge, Renaud Marlet
2020	Articulation-Aware Canonical Surface Mapping. Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani
2020	Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting. Bo Yan, Qing Lin, Weimin Tan, Shili Zhou
2020	Assessing Image Quality Issues for Real-World Problems. Tai-Yin Chiu, Yinan Zhao, Danna Gurari
2020	Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection. Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu, Errui Ding, Shilei Wen
2020	Attack to Explain Deep Representation. Mohammad A. A. K. Jalwana, Naveed Akhtar, Mohammed Bennamoun, Ajmal Mian
2020	Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization. Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang
2020	Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction. Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-Ching S. Cheung, Vijayan K. Asari
2020	Attention Scaling for Crowd Counting. Xiaoheng Jiang, Li Zhang, Mingliang Xu, Tianzhu Zhang, Pei Lv, Bing Zhou, Xin Yang, Yanwei Pang
2020	Attention-Aware Multi-View Stereo. Keyang Luo, Tao Guan, Lili Ju, Yuesong Wang, Zhuo Chen, Yawei Luo
2020	Attention-Based Context Aware Reasoning for Situation Recognition. Thilini Cooray, Ngai-Man Cheung, Wei Lu
2020	Attention-Driven Cropping for Very High Resolution Facial Landmark Detection. Prashanth Chandran, Derek Bradley, Markus Gross, Thabo Beeler
2020	Attention-Guided Hierarchical Structure Aggregation for Image Matting. Yu Qiao, Yuhao Liu, Xin Yang, Dongsheng Zhou, Mingliang Xu, Qiang Zhang, Xiaopeng Wei
2020	Attentive Normalization for Conditional Image Generation. Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
2020	Attentive Weights Generation for Few Shot Learning via Information Maximization. Yiluan Guo, Ngai-Man Cheung
2020	Attribution in Scale and Space. Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan
2020	AugFPN: Improving Multi-Scale Feature Learning for Object Detection. Chaoxu Guo, Bin Fan, Qian Zhang, Shiming Xiang, Chunhong Pan
2020	Augment Your Batch: Improving Generalization Through Instance Repetition. Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry
2020	Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation. Shawn Mathew, Saad Nadeem, Sruti Kumari, Arie E. Kaufman
2020	Auto-Encoding Twin-Bottleneck Hashing. Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
2020	Auto-Tuning Structured Light by Optical Stochastic Gradient Descent. Wenzheng Chen, Parsa Mirdehghan, Sanja Fidler, Kiriakos N. Kutulakos
2020	AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization. Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu
2020	Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors. Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon
2020	Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu
2020	Auxiliary Training: Towards Accurate and Robust Models. Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma
2020	AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild". Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis, Vasileios Triantafyllou, Abhijeet Ghosh, Stefanos Zafeiriou
2020	Averaging Essential and Fundamental Matrices in Collinear Camera Settings. Amnon Geifman, Yoni Kasten, Meirav Galun, Ronen Basri
2020	BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation. Yifeng Chen, Guangchen Lin, Songyuan Li, Omar El Farouk Bourahla, Yiming Wu, Fangfang Wang, Junyi Feng, Mingliang Xu, Xi Li
2020	BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition. Boyan Zhou, Quan Cui, Xiu-Shen Wei, Zhao-Min Chen
2020	BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell
2020	BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image. Yun-Hsuan Lin, Wen-Chin Chen, Yung-Yu Chuang
2020	BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector. Yang Liu, Xu Tang
2020	BSP-Net: Generating Compact Meshes via Binary Space Partitioning. Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
2020	BachGAN: High-Resolution Image Synthesis From Salient Object Layout. Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
2020	Background Data Resampling for Outlier-Aware Classification. Yi Li, Nuno Vasconcelos
2020	Background Matting: The World Is Your Green Screen. Soumyadip Sengupta, Vivek Jayaram, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman
2020	Barycenters of Natural Images - Constrained Wasserstein Barycenters for Image Morphing. Dror Simon, Aviad Aberdam
2020	Basis Prediction Networks for Effective Burst Denoising With Large Kernels. Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti
2020	Bayesian Adversarial Human Motion Synthesis. Rui Zhao, Hui Su, Qiang Ji
2020	Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock
2020	Benchmarking Adversarial Robustness on Image Classification. Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu
2020	Benchmarking the Robustness of Semantic Segmentation Models. Christoph Kamann, Carsten Rother
2020	Better Captioning With Sequence-Level Exploration. Jia Chen, Qin Jin
2020	Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context. Chenchen Liu, Yang Jin, Kehan Xu, Guoqiang Gong, Yadong Mu
2020	Bi-Directional Interaction Network for Person Search. Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan
2020	Bi-Directional Relationship Inferring Network for Referring Image Segmentation. Zhiwei Hu, Guang Feng, Jiayu Sun, Lihe Zhang, Huchuan Lu
2020	Bi3D: Stereo Depth Estimation via Binary Classifications. Abhishek Badki, Alejandro J. Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo
2020	BiDet: An Efficient Binarized Object Detector. Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou
2020	BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion. Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai
2020	BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation. Yanwei Pang, Jing Nie, Jin Xie, Jungong Han, Xuelong Li
2020	Bidirectional Graph Reasoning Network for Panoptic Segmentation. Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin
2020	Binarizing MobileNet via Evolution-Based Searching. Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen
2020	BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan
2020	BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks. Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, Long Quan
2020	Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network. Shaolin Su, Qingsen Yan, Yu Zhu, Cheng Zhang, Xin Ge, Jinqiu Sun, Yanning Zhang
2020	Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang
2020	Blur Aware Calibration of Multi-Focus Plenoptic Camera. Mathieu Labussière, Céline Teulière, Frédéric Bernardin, Omar Ait-Aider
2020	Blurry Video Frame Interpolation. Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, Zhiyong Gao
2020	Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data. Henry M. Clever, Zackory Erickson, Ariel Kapusta, Greg Turk, C. Karen Liu, Charles C. Kemp
2020	Boosting Few-Shot Learning With Adaptive Margin Loss. Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang
2020	Boosting Semantic Human Matting With Coarse Annotations. Jinlin Liu, Yuan Yao, Wendi Hou, Miaomiao Cui, Xuansong Xie, Changshui Zhang, Xian-Sheng Hua
2020	Boosting the Transferability of Adversarial Samples via Attention. Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai
2020	Boundary-Aware 3D Building Reconstruction From a Single Overhead Image. Jisan Mahmud, True Price, Akash Bapat, Jan-Michael Frahm
2020	Breaking the Cycle - Colleagues Are All You Need. Ori Nizan, Ayellet Tal
2020	Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection. Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li
2020	Bringing Old Photos Back to Life. Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen
2020	Bundle Adjustment on a Graph Processor. Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison
2020	Bundle Pooling for Polygonal Architecture Segmentation Problem. Huayi Zeng, Kevin Joseph, Adam Vest, Yasutaka Furukawa
2020	Butterfly Transform: An Efficient FFT Based Neural Architecture Design. Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari
2020	C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds. Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, Vittorio Ferrari
2020	C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu
2020	CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images. Rongjie Liu, Meng Li, Li Ma
2020	CARS: Continuous Evolution for Efficient Neural Architecture Search. Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
2020	CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
2020	CNN-Generated Images Are Surprisingly Easy to Spot... for Now. Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros
2020	COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification. Shijie Yu, Shihua Li, Dapeng Chen, Rui Zhao, Junjie Yan, Yu Qiao
2020	CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
2020	CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries. Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua
2020	CRNet: Cross-Reference Networks for Few-Shot Segmentation. Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu
2020	Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning. Sk Miraj Ahmed, Aske R. Lejbølle, Rameswar Panda, Amit K. Roy-Chowdhury
2020	Camera Trace Erasing. Chang Chen, Zhiwei Xiong, Xiaoming Liu, Feng Wu
2020	Camouflaged Object Detection. Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao
2020	Can Deep Learning Recognize Subtle Human Activities? Vincent Jacquot, Zhuofan Ying, Gabriel Kreiman
2020	Can Facial Pose and Expression Be Separated With Weak Perspective Camera? Evangelos Sariyanidi, Casey J. Zampella, Robert T. Schultz, Birkan Tunç
2020	Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning? Safa Messaoud, Maghav Kumar, Alexander G. Schwing
2020	Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS. Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc V. Le
2020	Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks. Sungha Choi, Joanne Taery Kim, Jaegul Choo
2020	Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching. Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, Ping Tan
2020	Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses. Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen
2020	CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement. Ho Kei Cheng, Jihoon Chung, Yu-Wing Tai, Chi-Keung Tang
2020	Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data. Shichao Li, Lei Ke, Kevin Pratama, Yu-Wing Tai, Chi-Keung Tang, Kwang-Ting Cheng
2020	Cascaded Deep Video Deblurring Using Temporal Sharpness Prior. Jinshan Pan, Haoran Bai, Jinhui Tang
2020	Cascaded Human-Object Interaction Recognition. Tianfei Zhou, Wenguan Wang, Siyuan Qi, Haibin Ling, Jianbing Shen
2020	Cascaded Refinement Network for Point Cloud Completion. Xiaogang Wang, Marcelo H. Ang, Gim Hee Lee
2020	Category-Level Articulated Object Pose Estimation. Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song
2020	Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics. Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, Siwei Lyu
2020	CenterMask: Real-Time Anchor-Free Instance Segmentation. Youngwan Lee, Jongyoul Park
2020	CenterMask: Single Shot Instance Segmentation With Point Representation. Yuqing Wang, Zhaoliang Xu, Hao Shen, Baoshan Cheng, Lirong Yang
2020	Central Similarity Quantization for Efficient Image and Video Retrieval. Li Yuan, Tao Wang, Xiaopeng Zhang, Francis E. H. Tay, Zequn Jie, Wei Liu, Jiashi Feng
2020	CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection. Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren, Chen Qian
2020	Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution. Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdong Li, Ruigang Yang
2020	Circle Loss: A Unified Perspective of Pair Similarity Optimization. Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei
2020	Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation. Gedas Bertasius, Lorenzo Torresani
2020	Clean-Label Backdoor Attacks on Video Recognition Models. Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang
2020	Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution. Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan
2020	Cloth in the Wind: A Case Study of Physical Measurement Through Simulation. Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders
2020	ClusterFit: Improving Generalization of Visual Representations. Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan
2020	ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings. Jiahui Huang, Sheng Yang, Tai-Jiang Mu, Shi-Min Hu
2020	Cogradient Descent for Bilinear Optimization. Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo
2020	Coherent Reconstruction of Multiple Humans From a Single Image. Wen Jiang, Nikos Kolotouros, Georgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis
2020	Collaborative Distillation for Ultra-Resolution Universal Style Transfer. Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang
2020	Collaborative Motion Prediction via Neural Motion Message Passing. Yue Hu, Siheng Chen, Ya Zhang, Xiao Gu
2020	ColorFool: Semantic Adversarial Colorization. Ali Shahin Shamsabadi, Ricardo Sánchez-Matilla, Andrea Cavallaro
2020	Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization. Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An
2020	Combining Detection and Tracking for Human Pose Estimation in Videos. Manchen Wang, Joseph Tighe, Davide Modolo
2020	Composed Query Image Retrieval Using Locally Bounded Features. Mehrdad Hosseinzadeh, Yang Wang
2020	Composing Good Shots by Exploiting Mutual Relations. Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang
2020	Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille
2020	Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation. Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara
2020	Computing Valid P-Values for Image Segmentation by Selective Inference. Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
2020	Computing the Testing Error Without a Testing Set. Ciprian A. Corneanu, Sergio Escalera, Aleix M. Martínez
2020	Conditional Channel Gated Networks for Task-Aware Continual Learning. Davide Abati, Jakub M. Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi
2020	Conditional Gaussian Distribution Learning for Open Set Recognition. Xin Sun, Zhenning Yang, Chi Zhang, Keck Voon Ling, Guohao Peng
2020	Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects. Hao Fang, Florent Lafarge
2020	Context Aware Graph Convolution for Skeleton-Based Action Recognition. Xikun Zhang, Chang Xu, Dacheng Tao
2020	Context Prior for Scene Segmentation. Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang
2020	Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection. Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang
2020	Context-Aware Attention Network for Image-Text Retrieval. Qi Zhang, Zhen Lei, Zhaoxiang Zhang, Stan Z. Li
2020	Context-Aware Group Captioning via Self-Attention and Contrastive Features. Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille
2020	Context-Aware Human Motion Prediction. Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer
2020	Context-Aware and Scale-Insensitive Temporal Repetition Counting. Huaidong Zhang, Xuemiao Xu, Guoqiang Han, Shengfeng He
2020	Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting. Zili Yi, Qiang Tang, Shekoofeh Azizi, Daesik Jang, Zhan Xu
2020	Continual Learning With Extended Kronecker-Factored Approximate Curvature. Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim
2020	ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection. Yuxin Wang, Hongtao Xie, Zheng-Jun Zha, Mengting Xing, Zilong Fu, Yongdong Zhang
2020	Controllable Orthogonalization in Training DNNs. Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
2020	Controllable Person Image Synthesis With Attribute-Decomposed GAN. Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian
2020	Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction. Fuyang Zhang, Nelson Nauata, Yasutaka Furukawa
2020	Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis. Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang
2020	CookGAN: Causality Based Text-to-Image Synthesis. Bin Zhu, Chong-Wah Ngo
2020	Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises. Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang
2020	Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension. Zhenfang Chen, Peng Wang, Lin Ma, Kwan-Yee K. Wong, Qi Wu
2020	Copy and Paste GAN: Face Hallucination From Shaded Thumbnails. Yang Zhang, Ivor W. Tsang, Yawei Luo, Chang-Hui Hu, Xiaobo Lu, Xin Yu
2020	Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. Shady Abu Hussein, Tom Tirer, Raja Giryes
2020	Correlating Edge, Pose With Parsing. Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie
2020	Correlation-Guided Attention for Corner Detection Based Visual Tracking. Fei Du, Peng Liu, Wei Zhao, Xianglong Tang
2020	Correspondence Networks With Adaptive Neighbourhood Consensus. Shuda Li, Kai Han, Theo W. Costain, Henry Howard-Jenkins, Victor Prisacariu
2020	Correspondence-Free Material Reconstruction using Sparse Surface Constraints. Sebastian Weiss, Robert Maier, Daniel Cremers, Rüdiger Westermann, Nils Thuerey
2020	Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu
2020	Counterfactual Samples Synthesizing for Robust Visual Question Answering. Long Chen, Xin Yan, Jun Xiao, Hanwang Zhang, Shiliang Pu, Yueting Zhuang
2020	Counterfactual Vision and Language Learning. Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel
2020	Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2020	CoverNet: Multimodal Behavior Prediction Using Trajectory Sets. Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff
2020	Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing. Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
2020	Cross-Batch Memory for Embedding Learning. Xun Wang, Haozhi Zhang, Weilin Huang, Matthew R. Scott
2020	Cross-Domain Correspondence Learning for Exemplar-Based Image Translation. Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen
2020	Cross-Domain Detection via Graph-Induced Prototype Alignment. Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang
2020	Cross-Domain Document Object Detection: Benchmark Suite and Method. Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad I. Morariu, Varun Manjunatha, Tong Sun, Yun Fu
2020	Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning. Guoqing Wang, Hu Han, Shiguang Shan, Xilin Chen
2020	Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer. Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin
2020	Cross-Modal Cross-Domain Moment Alignment Network for Person Search. Ya Jing, Wei Wang, Liang Wang, Tieniu Tan
2020	Cross-Modal Deep Face Normals With Deactivable Skip Connections. Victoria Fernández Abrevaya, Adnane Boukhayma, Philip H. S. Torr, Edmond Boyer
2020	Cross-Modal Pattern-Propagation for RGB-T Tracking. Chaoqun Wang, Chunyan Xu, Zhen Cui, Ling Zhou, Tong Zhang, Xiaoya Zhang, Jian Yang
2020	Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer. Yan Lu, Yue Wu, Bin Liu, Tianzhu Zhang, Baopu Li, Qi Chu, Nenghai Yu
2020	Cross-Spectral Face Hallucination via Disentangling Independent Factors. Boyan Duan, Chaoyou Fu, Yi Li, Xingguang Song, Ran He
2020	Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection. Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu
2020	Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS. Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu
2020	Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation. Yangtao Zheng, Di Huang, Songtao Liu, Yunhong Wang
2020	CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition. Yuge Huang, Yuhan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang
2020	CvxNet: Learnable Convex Decomposition. Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi
2020	CycleISP: Real Image Restoration via Improved Data Synthesis. Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao
2020	Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation. Sunghun Joung, Seungryong Kim, Hanjae Kim, Minsu Kim, Ig-Jae Kim, Junghyun Cho, Kwanghoon Sohn
2020	D2Det: Towards High Quality Object Detection and Instance Segmentation. Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao
2020	D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features. Xuyang Bai, Zixin Luo, Lei Zhou, Hongbo Fu, Long Quan, Chiew-Lan Tai
2020	D3S - A Discriminative Single Shot Segmentation Tracker. Alan Lukezic, Jiri Matas, Matej Kristan
2020	D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers
2020	DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads. Xi Zhang, Xiaolin Wu, Xinliang Zhai, Xianye Ben, Chengjie Tu
2020	DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
2020	DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing. Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui
2020	DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data. Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
2020	DMCP: Differentiable Markov Channel Pruning for Neural Networks. Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan
2020	DNU: Deep Non-Local Unrolling for Computational Spectral Imaging. Lizhi Wang, Chen Sun, Maoqing Zhang, Ying Fu, Hua Huang
2020	DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization. Ashraful Islam, Chengjiang Long, Arslan Basharat, Anthony Hoogs
2020	DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes. Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas A. Funkhouser, Caroline Pantofaru, David A. Ross, Larry S. Davis, Alireza Fathi
2020	DPGN: Distribution Propagation Graph Network for Few-Shot Learning. Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu
2020	DR Loss: Improving Object Detection by Distributional Ranking. Qi Qian, Lei Chen, Hao Li, Rong Jin
2020	DSGN: Deep Stereo Geometry Network for 3D Object Detection. Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia
2020	DSNAS: Direct Neural Architecture Search Without Parameter Retraining. Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
2020	DUNIT: Detection-Based Unsupervised Image-to-Image Translation. Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, Mathieu Salzmann
2020	DaST: Data-Free Substitute Training for Adversarial Attacks. Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu
2020	Data Uncertainty Learning in Face Recognition. Jie Chang, Zhonghao Lan, Changmao Cheng, Yichen Wei
2020	Data-Efficient Semi-Supervised Learning by Reliable Edge Mining. Peibin Chen, Tao Ma, Xu Qin, Weidi Xu, Shuchang Zhou
2020	Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song
2020	Dataless Model Selection With the Deep Frame Potential. Calvin Murdock, Simon Lucey
2020	DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning. Jaime Spencer, Richard Bowden, Simon Hadfield
2020	Deblurring Using Analysis-Synthesis Networks Pair. Adam Kaufman, Raanan Fattal
2020	Deblurring by Realistic Blurring. Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Björn Stenger, Wei Liu, Hongdong Li
2020	Decoupled Representation Learning for Skeleton-Based Gesture Recognition. Jianbo Liu, Yongcheng Liu, Ying Wang, Véronique Prinet, Shiming Xiang, Chunhong Pan
2020	Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images. Sai Bi, Zexiang Xu, Kalyan Sunkavalli, David J. Kriegman, Ravi Ramamoorthi
2020	Deep 3D Portrait From a Single Image. Sicheng Xu, Jiaolong Yang, Dong Chen, Fang Wen, Yu Deng, Yunde Jia, Xin Tong
2020	Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision. Denis A. Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Sotaro Tsukizawa
2020	Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images. Zhengxia Zou, Sen Lei, Tianyang Shi, Zhenwei Shi, Jieping Ye
2020	Deep Degradation Prior for Low-Quality Image Classification. Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong
2020	Deep Distance Transform for Tubular Structure Segmentation in CT Scans. Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille
2020	Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation. Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou
2020	Deep Facial Non-Rigid Multi-View Stereo. Ziqian Bai, Zhaopeng Cui, Jamal Ahmed Rahim, Xiaoming Liu, Ping Tan
2020	Deep Fair Clustering for Visual Learning. Peizhao Li, Han Zhao, Hongfu Liu
2020	Deep Generative Model for Robust Imbalance Classification. Xinyue Wang, Yilin Lyu, Liping Jing
2020	Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence. Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov
2020	Deep Global Registration. Christopher B. Choy, Wei Dong, Vladlen Koltun
2020	Deep Grouping Model for Unified Perceptual Parsing. Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu
2020	Deep Homography Estimation for Dynamic Scenes. Hoang Le, Feng Liu, Shu Zhang, Aseem Agarwala
2020	Deep Image Spatial Transformation for Person Image Generation. Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li
2020	Deep Implicit Volume Compression. Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin
2020	Deep Iterative Surface Normal Estimation. Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci
2020	Deep Kinematics Analysis for Monocular 3D Human Pose Estimation. Jingwei Xu, Zhenbo Yu, Bingbing Ni, Jiancheng Yang, Xiaokang Yang, Wenjun Zhang
2020	Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution. Yuesong Nan, Hui Ji
2020	Deep Metric Learning via Adaptive Learnable Assessment. Wenzhao Zheng, Jiwen Lu, Jie Zhou
2020	Deep Non-Line-of-Sight Reconstruction. Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen
2020	Deep Optics for Single-Shot High-Dynamic-Range Imaging. Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein
2020	Deep Parametric Shape Predictions Using Distance Fields. Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
2020	Deep Polarization Cues for Transparent Object Segmentation. Agastya Kalra, Vage Taamazyan, Supreeth Krishna Rao, Kartik Venkataraman, Ramesh Raskar, Achuta Kadambi
2020	Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection. Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou, Chang Liu, Chun Yang, Hongfa Wang, Xu-Cheng Yin
2020	Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective. Jialun Liu, Yifan Sun, Chuchu Han, Zhaopeng Dou, Wenhui Li
2020	Deep Residual Flow for Out of Distribution Detection. Ev Zisselman, Aviv Tamar
2020	Deep Semantic Clustering by Partition Confidence Maximisation. Jiabo Huang, Shaogang Gong, Xiatian Zhu
2020	Deep Shutter Unrolling Network. Peidong Liu, Zhaopeng Cui, Viktor Larsson, Marc Pollefeys
2020	Deep Snake for Real-Time Instance Segmentation. Sida Peng, Wen Jiang, Huaijin Pi, Xiuli Li, Hujun Bao, Xiaowei Zhou
2020	Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing. Zezheng Wang, Zitong Yu, Chenxu Zhao, Xiangyu Zhu, Yunxiao Qin, Qiusheng Zhou, Feng Zhou, Zhen Lei
2020	Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness. Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su
2020	Deep Structure-Revealed Network for Texture Recognition. Wei Zhai, Yang Cao, Zheng-Jun Zha, Haiyong Xie, Feng Wu
2020	Deep Unfolding Network for Image Super-Resolution. Kai Zhang, Luc Van Gool, Radu Timofte
2020	Deep White-Balance Editing. Mahmoud Afifi, Michael S. Brown
2020	DeepCap: Monocular Human Performance Capture Using Weak Supervision. Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt
2020	DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data. Aljaz Bozic, Michael Zollhöfer, Christian Theobalt, Matthias Nießner
2020	DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers. Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen
2020	DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration. Jian Wang, Miaomiao Zhang
2020	DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation. Mohammad Rami Koujan, Anastasios Roussos, Stefanos Zafeiriou
2020	DeepLPF: Deep Local Parametric Filters for Image Enhancement. Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh
2020	DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection. Liming Jiang, Ren Li, Wayne Wu, Chen Qian, Chen Change Loy
2020	Deepstrip: High-Resolution Boundary Refinement. Peng Zhou, Brian L. Price, Scott Cohen, Gregg Wilensky, Larry S. Davis
2020	Defending Against Model Stealing Attacks With Adaptive Misinformation. Sanjay Kariyappa, Moinuddin K. Qureshi
2020	Defending Against Universal Attacks Through Selective Feature Regeneration. Tejas S. Borkar, Felix Heide, Lina J. Karam
2020	Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan
2020	Deformable Siamese Attention Networks for Visual Object Tracking. Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott
2020	Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals. Siyuan Li, Semih Günel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin
2020	Dense Regression Network for Video Grounding. Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan
2020	Densely Connected Search Space for More Flexible Neural Architecture Search. Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang
2020	Density-Aware Feature Embedding for Face Clustering. Senhui Guo, Jing Xu, Dapeng Chen, Chao Zhang, Xiaogang Wang, Rui Zhao
2020	Density-Aware Graph for Deep Semi-Supervised Visual Recognition. Suichan Li, Bin Liu, Dongdong Chen, Qi Chu, Lu Yuan, Nenghai Yu
2020	Density-Based Clustering for 3D Object Detection in Point Clouds. Syeda Mariam Ahmed, Chee-Meng Chew
2020	Depth Sensing Beyond LiDAR Range. Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen
2020	Designing Network Design Spaces. Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, Piotr Dollár
2020	Detail-recovery Image Deraining via Context Aggregation Networks. Sen Deng, Mingqiang Wei, Jun Wang, Yidan Feng, Luming Liang, Haoran Xie, Fu Lee Wang, Meng Wang
2020	Detailed 2D-3D Joint Representation for Human-Object Interaction. Yong-Lu Li, Xinpeng Liu, Han Lu, Shiyi Wang, Junqi Liu, Jiefeng Li, Cewu Lu
2020	Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. Gilad Cohen, Guillermo Sapiro, Raja Giryes
2020	Detecting Attended Visual Targets in Video. Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg
2020	Detection in Crowded Scenes: One Proposal, Multiple Predictions. Xuangeng Chu, Anlin Zheng, Xiangyu Zhang, Jian Sun
2020	Determinant Regularization for Gradient-Efficient Graph Matching. Tianshu Yu, Junchi Yan, Baoxin Li
2020	Differentiable Adaptive Computation Time for Visual Reasoning. Cristóbal Eyzaguirre, Álvaro Soto
2020	Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision. Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger
2020	Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
2020	Discovering Human Interactions With Novel Objects via Zero-Shot Learning. Suchen Wang, Kim-Hui Yap, Junsong Yuan, Yap-Peng Tan
2020	Discovering Synchronized Subsets of Sequences: A Large Scale Solution. Evangelos Sariyanidi, Casey J. Zampella, G. Keith Bartley, John D. Herrington, Theodore D. Satterthwaite, Robert T. Schultz, Birkan Tunç
2020	Discrete Model Compression With Resource Constraint for Deep Neural Networks. Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang
2020	Discriminative Multi-Modality Speech Recognition. Bo Xu, Cheng Lu, Yandong Guo, Jacob Wang
2020	Disentangled Image Generation Through Structured Noise Injection. Yazeed Alharbi, Peter Wonka
2020	Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning. Yu Deng, Jiaolong Yang, Dong Chen, Fang Wen, Xin Tong
2020	Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction. Vincent Le Guen, Nicolas Thome
2020	Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang
2020	Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation. Jiaming Sun, Linghao Chen, Yiming Xie, Siyu Zhang, Qinhong Jiang, Xiaowei Zhou, Hujun Bao
2020	Disparity-Aware Domain Adaptation in Stereo Image Restoration. Bo Yan, Chenxi Ma, Bahetiyaer Bare, Weimin Tan, Steven C. H. Hoi
2020	Distilled Semantics for Comprehensive Scene Understanding from Videos. Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia
2020	Distilling Cross-Task Knowledge via Relationship Matching. Han-Jia Ye, Su Lu, De-Chuan Zhan
2020	Distilling Effective Supervision From Severe Label Noise. Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister
2020	Distilling Image Dehazing With Heterogeneous Task Imitation. Ming Hong, Yuan Xie, Cuihua Li, Yanyun Qu
2020	Distilling Knowledge From Graph Convolutional Networks. Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang
2020	Distortion Agnostic Deep Watermarking. Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, Peyman Milanfar
2020	Distribution-Aware Coordinate Representation for Human Pose Estimation. Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, Ce Zhu
2020	Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning. Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao
2020	Diverse Image Generation via Self-Conditioned GANs. Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba
2020	Diversified Arbitrary Style Transfer via Deep Feature Perturbation. Zhizhong Wang, Lei Zhao, Haibo Chen, Lihong Qiu, Qihang Mo, Sihuan Lin, Wei Xing, Dongming Lu
2020	Domain Adaptation for Image Dehazing. Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang
2020	Domain Adaptive Image-to-Image Translation. Ying-Cong Chen, Xiaogang Xu, Jiaya Jia
2020	Domain Balancing: Face Recognition on Long-Tailed Domains. Dong Cao, Xiangyu Zhu, Xingyu Huang, Jianzhu Guo, Zhen Lei
2020	Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes
2020	Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning. Shaobo Min, Hantao Yao, Hongtao Xie, Chaoqun Wang, Zheng-Jun Zha, Yongdong Zhang
2020	Don't Even Look Once: Synthesizing Features for Zero-Shot Detection. Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2020	Don't Hit Me! Glass Detection in Real-World Scenes. Haiyang Mei, Xin Yang, Yang Wang, Yuanyuan Liu, Shengfeng He, Qiang Zhang, Xiaopeng Wei, Rynson W. H. Lau
2020	Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
2020	DoveNet: Deep Image Harmonization via Domain Verification. Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang
2020	Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
2020	DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior. Bo Zhou, S. Kevin Zhou
2020	Dual Super-Resolution Learning for Semantic Segmentation. Li Wang, Dong Li, Yousong Zhu, Lu Tian, Yi Shan
2020	DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes. Jonas Schult, Francis Engelmann, Theodora Kontogianni, Bastian Leibe
2020	DualSDF: Semantic Shape Manipulation Using a Two-Level Representation. Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge J. Belongie
2020	Dynamic Convolution: Attention Over Convolution Kernels. Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu
2020	Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference. Thomas Verelst, Tinne Tuytelaars
2020	Dynamic Face Video Segmentation via Reinforcement Learning. Yujiang Wang, Mingzhi Dong, Jie Shen, Yang Wu, Shiyang Cheng, Maja Pantic
2020	Dynamic Fluid Surface Reconstruction Using Deep Neural Network. Simron Thapa, Nianyi Li, Jinwei Ye
2020	Dynamic Graph Message Passing Networks. Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr
2020	Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives. Duo Li, Qifeng Chen
2020	Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction. Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
2020	Dynamic Neural Relational Inference. Colin Graber, Alexander G. Schwing
2020	Dynamic Refinement Network for Oriented and Densely Packed Object Detection. Xingjia Pan, Yuqiang Ren, Kekai Sheng, Weiming Dong, Haolei Yuan, Xiaowei Guo, Chongyang Ma, Changsheng Xu
2020	Dynamic Traffic Modeling From Overhead Imagery. Scott Workman, Nathan Jacobs
2020	ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
2020	ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition. Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, Takashi Sato
2020	EPOS: Estimating 6D Pose of Objects With Symmetries. Tomás Hodan, Dániel Baráth, Jiri Matas
2020	EcoNAS: Finding Proxies for Economical Neural Architecture Search. Dongzhan Zhou, Xinchi Zhou, Wenwei Zhang, Chen Change Loy, Shuai Yi, Xuesen Zhang, Wanli Ouyang
2020	Editing in Style: Uncovering the Local Semantics of GANs. Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk
2020	Effectively Unbiased FID and Inception Score and Where to Find Them. Min Jin Chong, David A. Forsyth
2020	Efficient Adversarial Training With Transferable Adversarial Examples. Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash
2020	Efficient Derivative Computation for Cumulative B-Splines on Lie Groups. Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers
2020	Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training. Yuan Yuan, Wei Su, Dandan Ma
2020	Efficient Neural Vision Systems Based on Convolutional Image Acquisition. Pedram Pad, Simon Narduzzi, Clément Kündig, Engin Türetken, Siavash Arjomand Bigdeli, L. Andrea Dunbar
2020	Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment. Rui Xiang, Rongjie Lai, Hongkai Zhao
2020	EfficientDet: Scalable and Efficient Object Detection. Mingxing Tan, Ruoming Pang, Quoc V. Le
2020	Ego-Topo: Environment Affordances From Egocentric Video. Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman
2020	Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. Byungsoo Ko, Geonmo Gu
2020	Embodied Language Grounding With 3D Visual Feature Representations. Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
2020	EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle. Trisha Mittal, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, Dinesh Manocha
2020	End-to-End 3D Point Cloud Instance Segmentation Without Detection. Haiyong Jiang, Feilong Yan, Jianfei Cai, Jianmin Zheng, Jun Xiao
2020	End-to-End Adversarial-Attention Network for Multi-Modal Clustering. Runwu Zhou, Yi-Dong Shen
2020	End-to-End Camera Calibration for Broadcast Videos. Long Sha, Jennifer A. Hobbs, Panna Felsen, Xinyu Wei, Patrick Lucey, Sujoy Ganguly
2020	End-to-End Illuminant Estimation Based on Deep Metric Learning. Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu
2020	End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. Bo Chen, Álvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin
2020	End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds. Lei Li, Siyu Zhu, Hongbo Fu, Ping Tan, Chiew-Lan Tai
2020	End-to-End Learning of Visual Representations From Uncurated Instructional Videos. Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman
2020	End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances. Marin Toromanoff, Émilie Wirbel, Fabien Moutarde
2020	End-to-End Optimization of Scene Layout. Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum
2020	End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020	Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion. Xiaoming Li, Wenyu Li, Dongwei Ren, Hongzhi Zhang, Meng Wang, Wangmeng Zuo
2020	Enhanced Transport Distance for Unsupervised Domain Adaptation. Mengxue Li, Yiming Zhai, You-Wei Luo, Pengfei Ge, Chuan-Xian Ren
2020	Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar
2020	Enhancing Generic Segmentation With Learned Region Representations. Or Isaacs, Oran Shayer, Michael Lindenbaum
2020	Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder. Guanlin Li, Shuya Ding, Jun Luo, Chang Liu
2020	Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks. Jianhe Yuan, Zhihai He
2020	Epipolar Transformers. Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu
2020	Episode-Based Prototype Generating Network for Zero-Shot Learning. Yunlong Yu, Zhong Ji, Jungong Han, Zhongfei Zhang
2020	Equalization Loss for Long-Tailed Object Recognition. Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan
2020	Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization. Jinjie Mai, Meng Yang, Wenfeng Luo
2020	Estimating Low-Rank Region Likelihood Maps. Gabriela Csurka, Zoltan Kato, Andor Juhasz, Martin Humenberger
2020	Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. Aditya Golatkar, Alessandro Achille, Stefano Soatto
2020	Evade Deep Image Retrieval by Stashing Private Images in the Hash Space. Yanru Xiao, Cong Wang, Xing Gao
2020	Evaluating Weakly Supervised Object Localization Methods Right. Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras. R. Wes Baldwin, Mohammed Almatrafi, Vijayan K. Asari, Keigo Hirakawa
2020	EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera. Lan Xu, Weipeng Xu, Vladislav Golyanik, Marc Habermann, Lu Fang, Christian Theobalt
2020	EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning. Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon
2020	Evolving Losses for Unsupervised Video Representation Learning. A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo
2020	Exemplar Normalization for Learning Deep Representation. Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo
2020	Explainable Object-Induced Action Decision for Autonomous Vehicles. Yiran Xu, Xiaoyin Yang, Lihang Gong, Hsuan-Chu Lin, Tz-Ying Wu, Yunsheng Li, Nuno Vasconcelos
2020	Explaining Knowledge Distillation by Quantifying the Knowledge. Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang
2020	Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition. Chih-Hui Ho, Bo Liu, Tz-Ying Wu, Nuno Vasconcelos
2020	Exploiting Joint Robustness to Adversarial Perturbations. Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi
2020	Explorable Super Resolution. Yuval Bahat, Tomer Michaeli
2020	Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection. Zhonghua Wu, Qingyi Tao, Guosheng Lin, Jianfei Cai
2020	Exploring Categorical Regularization for Domain Adaptive Object Detection. Chang-Dong Xu, Xing-Ran Zhao, Xin Jin, Xiu-Shen Wei
2020	Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation. Yingwei Pan, Ting Yao, Yehao Li, Chong-Wah Ngo, Tao Mei
2020	Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving. Aditya Prakash, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, Andreas Geiger
2020	Exploring Self-Attention for Image Recognition. Hengshuang Zhao, Jiaya Jia, Vladlen Koltun
2020	Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction. Beibei Jin, Yu Hu, Qiankun Tang, Jingyu Niu, Zhiping Shi, Yinhe Han, Xiaowei Li
2020	Exploring Unlabeled Faces for Novel Attribute Discovery. Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo
2020	Extreme Relative Pose Network Under Hybrid Representations. Zhenpei Yang, Siming Yan, Qixing Huang
2020	Extremely Dense Point Correspondences Using a Learned Feature Descriptor. Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath
2020	F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation. Konstantin Sofiiuk, Ilia A. Petrov, Olga Barinova, Anton Konushin
2020	FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions. Shaohua Li, Kaiping Xue, Bin Zhu, Chenkai Ding, Xindi Gao, David S. L. Wei, Tao Wan
2020	FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez
2020	FDA: Fourier Domain Adaptation for Semantic Segmentation. Yanchao Yang, Stefano Soatto
2020	FGN: Fully Guided Network for Few-Shot Instance Segmentation. Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li
2020	FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification. Wenxuan Wang, Yanwei Fu, Xuelin Qian, Yu-Gang Jiang, Qi Tian, Xiangyang Xue
2020	FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen
2020	FPConv: Learning Local Flattening for Point Convolution. Yiqun Lin, Zizheng Yan, Haibin Huang, Dong Du, Ligang Liu, Shuguang Cui, Xiaoguang Han
2020	FReeNet: Multi-Identity Face Reenactment. Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu, Yu Ding, Changjie Fan
2020	FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation. Xiang Li, Tianhan Wei, Yau Pun Chen, Yu-Wing Tai, Chi-Keung Tang
2020	Face X-Ray for More General Face Forgery Detection. Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, Baining Guo
2020	FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction. Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao
2020	Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation. Jean Kossaifi, Antoine Toisoul, Adrian Bulat, Yannis Panagakis, Timothy M. Hospedales, Maja Pantic
2020	Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention. Ming Jiang, Shi Chen, Jinhui Yang, Qi Zhao
2020	Fashion Editing With Adversarial Parsing Learning. Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Xiaohui Shen, Zhenyu Xie, Bowen Wu, Jian Yin
2020	Fashion Outfit Complementary Item Retrieval. Yen-Liang Lin, Son Dinh Tran, Larry S. Davis
2020	Fast MSER. Hailiang Xu, Siqi Xie, Fan Chen
2020	Fast Soft Color Segmentation. Naofumi Akimoto, Huachun Zhu, Yanghua Jin, Yoshimitsu Aoki
2020	Fast Sparse ConvNets. Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan
2020	Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks. Tony C. W. Mok, Albert C. S. Chung
2020	Fast Template Matching and Update for Video Object Tracking and Segmentation. Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao
2020	Fast Texture Synthesis via Pseudo Optimizer. Wu Shi, Yu Qiao
2020	Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching. Xuhua Huang, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang
2020	Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning. Thiago M. Paixão, Rodrigo Ferreira Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos
2020	Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement. Zehao Yu, Shenghua Gao
2020	FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation. Matias Tassano, Julie Delon, Thomas Veit
2020	Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences. Xiaoshui Huang, Guofeng Mei, Jian Zhang
2020	FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation. Shurui Gui, Chaoyue Wang, Qihua Chen, Dacheng Tao
2020	Few Sample Knowledge Distillation for Efficient Network Compression. Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang
2020	Few-Shot Class-Incremental Learning. Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong
2020	Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation. Lingjing Wang, Xiang Li, Yi Fang
2020	Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions. Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha
2020	Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector. Qi Fan, Wei Zhuo, Chi-Keung Tang, Yu-Wing Tai
2020	Few-Shot Open-Set Recognition Using Meta-Learning. Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos
2020	Few-Shot Pill Recognition. Suiyi Ling, Andreas Pastor, Jing Li, Zhaohui Che, Junle Wang, Jieun Kim, Patrick Le Callet
2020	Few-Shot Video Classification via Temporal Alignment. Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles
2020	Filter Grafting for Deep Neural Networks. Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu
2020	Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks. Saurabh Singh, Shankar Krishnan
2020	Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention. Dat Huynh, Ehsan Elhamifar
2020	Fine-Grained Image-to-Image Transformation Towards Visual Recognition. Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo
2020	Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning. Shizhe Chen, Yida Zhao, Qin Jin, Qi Wu
2020	FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding. Dian Shao, Yue Zhao, Bo Dai, Dahua Lin
2020	Fixed-Point Back-Propagation Training. Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen
2020	Flow Contrastive Estimation of Energy-Based Models. Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu
2020	Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu
2020	FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang
2020	Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation. Maxim Maximov, Kevin Galim, Laura Leal-Taixé
2020	Footprints and Free Space From a Single Color Image. Jamie Watson, Michael Firman, Áron Monszpart, Gabriel J. Brostow
2020	Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery. Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma
2020	Forward and Backward Information Retention for Accurate Binary Neural Networks. Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song
2020	Frequency Domain Compact 3D Convolutional Neural Networks. Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2020	FroDO: From Detections to 3D Objects. Martin Rünz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe
2020	From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction. Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng
2020	From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement. Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, Jiaying Liu
2020	From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu
2020	From Paris to Berlin: Discovering Fashion Style Influences Around the World. Ziad Al-Halah, Kristen Grauman
2020	From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality. Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan C. Bovik
2020	From Two Rolling Shutters to One Global Shutter. Cenek Albl, Zuzana Kukelova, Viktor Larsson, Michal Polic, Tomás Pajdla, Konrad Schindler
2020	Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer
2020	Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach. Zhe Zhang, Chunyu Wang, Wenhu Qin, Wenjun Zeng
2020	Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation. Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu
2020	Future Video Synthesis With Object Motion Prediction. Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen
2020	G-TAD: Sub-Graph Localization for Temporal Action Detection. Mengmeng Xu, Chen Zhao, David S. Rojas, Ali K. Thabet, Bernard Ghanem
2020	G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features. Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis
2020	G3AN: Disentangling Appearance and Motion for Video Generation. Yaohui Wang, Piotr Bilinski, François Brémond, Antitza Dantcheva
2020	GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data. Seongwook Yoon, Sanghoon Sull
2020	GAN Compression: Efficient Architectures for Interactive Conditional GANs. Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
2020	GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models. Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu
2020	GIFnets: Differentiable GIF Encoding Framework. Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar
2020	GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences. Prune Truong, Martin Danelljan, Radu Timofte
2020	GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning. Xinshuo Weng, Yongxin Wang, Yunze Man, Kris M. Kitani
2020	GP-NAS: Gaussian Process Based Neural Architecture Search. Zhihang Li, Teng Xi, Jiankang Deng, Gang Zhang, Shengzhao Wen, Ran He
2020	GPS-Net: Graph Property Sensing Network for Scene Graph Generation. Xin Lin, Changxing Ding, Jinquan Zeng, Dacheng Tao
2020	Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features. Xiang Li, Yasushi Makihara, Chi Xu, Yasushi Yagi, Mingwu Ren
2020	GaitPart: Temporal Part-Based Model for Gait Recognition. Chao Fan, Yunjie Peng, Chunshui Cao, Xu Liu, Saihui Hou, Jiannan Chi, Yongzhen Huang, Qing Li, Zhiqiang He
2020	GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes. Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer, Grégory Rogez
2020	Gate-Shift Networks for Video Action Recognition. Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
2020	Gated Channel Transformation for Visual Recognition. Zongxin Yang, Linchao Zhu, Yu Wu, Yi Yang
2020	Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data. Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira
2020	Generalized Product Quantization Network for Semi-Supervised Image Retrieval. Young Kyun Jang, Nam Ik Cho
2020	Generalized Zero-Shot Learning via Over-Complete Distribution. Rohit Keshari, Richa Singh, Mayank Vatsa
2020	Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation. Minjie Cai, Feng Lu, Yoichi Sato
2020	Generating 3D People in Scenes Without People. Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang
2020	Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations. Vishnu Suresh Lokhande, Songwong Tasneeyapant, Abhay Venkatesh, Sathya N. Ravi, Vikas Singh
2020	Generating and Exploiting Probabilistic Monocular Depth Estimates. Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti
2020	Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
2020	Generative-Discriminative Feature Representations for Open-Set Recognition. Pramuditha Perera, Vlad I. Morariu, Rajiv Jain, Varun Manjunatha, Curtis Wigington, Vicente Ordonez, Vishal M. Patel
2020	GeoDA: A Geometric Framework for Black-Box Adversarial Attacks. Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai
2020	Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery. Lei Jin, Yanyu Xu, Jia Zheng, Junfei Zhang, Rui Tang, Shugong Xu, Jingyi Yu, Shenghua Gao
2020	Geometrically Principled Connections in Graph Neural Networks. Shunwang Gong, Mehdi Bahri, Michael M. Bronstein, Stefanos Zafeiriou
2020	Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud. Haoran Zhou, Honghua Chen, Yidan Feng, Qiong Wang, Jing Qin, Haoran Xie, Fu Lee Wang, Mingqiang Wei, Jun Wang
2020	Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas. Xiaohu Lu, Zuoyue Li, Zhaopeng Cui, Martin R. Oswald, Marc Pollefeys, Rongjun Qin
2020	GhostNet: More Features From Cheap Operations. Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
2020	Global Optimality for Point Set Registration Using Semidefinite Programming. José Pedro Iglesias, Carl Olsson, Fredrik Kahl
2020	Global Texture Enhancement for Fake Face Detection in the Wild. Zhengzhe Liu, Xiaojuan Qi, Philip H. S. Torr
2020	Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. Yongming Rao, Jiwen Lu, Jie Zhou
2020	Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition. Yaobin Zhang, Weihong Deng, Mei Wang, Jiani Hu, Xian Li, Dongyue Zhao, Dongchao Wen
2020	Globally Optimal Contrast Maximisation for Event-Based Motion Estimation. Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin
2020	Going Deeper With Lean Point Networks. Eric-Tuan Le, Iasonas Kokkinos, Niloy J. Mitra
2020	Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning. Ehsan Abbasnejad, Iman Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel
2020	Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval. Tobias Weyand, André Araújo, Bingyi Cao, Jack Sim
2020	Gradually Vanishing Bridge for Adversarial Domain Adaptation. Shuhao Cui, Shuhui Wang, Junbao Zhuo, Chi Su, Qingming Huang, Qi Tian
2020	Graph Embedded Pose Clustering for Anomaly Detection. Amir Markovitz, Gilad Sharir, Itamar Friedman, Lihi Zelnik-Manor, Shai Avidan
2020	Graph Structured Network for Image-Text Matching. Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, Hongtao Xie, Bin Wang, Yongdong Zhang
2020	Graph-Guided Architecture Search for Real-Time Semantic Segmentation. Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi
2020	Graph-Structured Referring Expression Reasoning in the Wild. Sibei Yang, Guanbin Li, Yizhou Yu
2020	GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. Xiang Gao, Wei Hu, Guo-Jun Qi
2020	GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
2020	GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping. Haoshu Fang, Chenxi Wang, Minghao Gou, Cewu Lu
2020	GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet. Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang
2020	Grid-GCN for Fast and Scalable Point Cloud Learning. Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann
2020	Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte
2020	GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition. Yonghyun Kim, Wonpyo Park, Myung-Cheol Roh, Jongju Shin
2020	Guided Variational Autoencoder for Disentanglement Learning. Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu
2020	Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging. Xiangrui Zeng, Min Xu
2020	HAMBox: Delving Into Mining High-Quality Anchors on Face Detection. Yang Liu, Xu Tang, Junyu Han, Jingtuo Liu, Dinger Rui, Xiang Wu
2020	HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting. Geunseob Oh, Jean-Sébastien Valois
2020	HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation. Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall
2020	HOnnotate: A Method for 3D Annotation of Hand and Object Poses. Shreyas Hampali, Mahdi Rad, Markus Oberweger, Vincent Lepetit
2020	HRank: Filter Pruning Using High-Rank Feature Map. Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao
2020	HUMBI: A Large Multiview Dataset of Human Body Expressions. Zhixuan Yu, Jae Shin Yoon, In Kyu Lee, Prashanth Venkatesh, Jaesik Park, Jihun Yu, Hyun Soo Park
2020	HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection. Maosheng Ye, Shuangjie Xu, Tongyi Cao
2020	HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map. Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker
2020	Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines. Ali Mosleh, Avinash Sharma, Emmanuel Onzon, Fahim Mannan, Nicolas Robidoux, Felix Heide
2020	Harmonizing Transferability and Discriminability for Adapting Object Detectors. Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou
2020	Height and Uprightness Invariance for 3D Prediction From a Single View. Manel Baradad, Antonio Torralba
2020	Heterogeneous Knowledge Distillation Using Information Flow Modeling. Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
2020	Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim
2020	Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification. Kaiwei Zeng, Munan Ning, Yaohua Wang, Yang Guo
2020	Hierarchical Conditional Relation Networks for Video Question Answering. Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	Hierarchical Feature Embedding for Attribute Recognition. Jie Yang, Jiarou Fan, Yiru Wang, Yige Wang, Weihao Gan, Lin Liu, Wei Wu
2020	Hierarchical Graph Attention Network for Visual Relationship Detection. Li Mi, Zhenzhong Chen
2020	Hierarchical Human Parsing With Typed Part-Relation Reasoning. Wenguan Wang, Hailong Zhu, Jifeng Dai, Yanwei Pang, Jianbing Shen, Ling Shao
2020	Hierarchical Pyramid Diverse Attention Networks for Face Recognition. Qiangchang Wang, Tianyi Wu, He Zheng, Guodong Guo
2020	Hierarchical Scene Coordinate Classification and Regression for Visual Localization. Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala
2020	Hierarchically Robust Representation Learning. Qi Qian, Juhua Hu, Hao Li
2020	High-Dimensional Convolutional Networks for Geometric Pattern Recognition. Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun
2020	High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks. Haohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing
2020	High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification. Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun
2020	High-Performance Long-Term Tracking With Meta-Updater. Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang
2020	High-Resolution Daytime Translation Without Domain Labels. Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Aleksei Silvestrov, Sergey I. Nikolenko, Victor Lempitsky, Gleb Sterkin
2020	HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation. Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang
2020	Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu
2020	Holistically-Attracted Wireframe Parsing. Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr
2020	How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework. Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh
2020	How Much Time Do You Have? Modeling Multi-Duration Saliency. Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii
2020	How Useful Is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell, Jia Deng
2020	How to Train Your Deep Multi-Object Tracker. Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda
2020	HybridPose: 6D Object Pose Estimation Under Hybrid Representations. Chen Song, Jiaru Song, Qixing Huang
2020	HyperSTAR: Task-Aware Hyperparameters for Deep Networks. Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu
2020	Hyperbolic Image Embeddings. Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky
2020	Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang
2020	Hypergraph Attention Networks for Multimodal Learning. Eun-Sol Kim, Woo-Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang
2020	IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving. Wanli Peng, Hao Pan, He Liu, Yi Sun
2020	ILFO: Adversarial Attack on Adaptive Neural Networks. Mirazul Haque, Anki Chauhan, Cong Liu, Wei Yang
2020	IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han
2020	ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
2020	Image Based Virtual Try-On Network From Unpaired Data. Assaf Neuberger, Eran Borenstein, Bar Hilleli, Eduard Oks, Sharon Alpert
2020	Image Demoireing with Learnable Bandpass Filters. Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis
2020	Image Processing Using Multi-Code GAN Prior. Jinjin Gu, Yujun Shen, Bolei Zhou
2020	Image Search With Text Feedback by Visiolinguistic Attention Learning. Yanbei Chen, Shaogang Gong, Loris Bazzani
2020	Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining. Yiqun Mei, Yuchen Fan, Yuqian Zhou, Lichao Huang, Thomas S. Huang, Honghui Shi
2020	Image2StyleGAN++: How to Edit the Embedded Images? Rameen Abdal, Yipeng Qin, Peter Wonka
2020	Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation. Mengshi Qi, Jie Qin, Yu Wu, Yi Yang
2020	Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion. Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
2020	Improved Few-Shot Visual Classification. Peyman Bateni, Raghav Goyal, Vaden Masrani, Frank Wood, Leonid Sigal
2020	Improving Action Segmentation via Graph-Based Temporal Reasoning. Yifei Huang, Yusuke Sugano, Yoichi Sato
2020	Improving Confidence Estimates for Unfamiliar Examples. Zhizhong Li, Derek Hoiem
2020	Improving Convolutional Networks With Self-Calibrated Convolutions. Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng
2020	Improving One-Shot NAS by Suppressing the Posterior Fading. Xiang Li, Chen Lin, Chuming Li, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang
2020	Improving the Robustness of Capsule Networks to Image Affine Transformations. Jindong Gu, Volker Tresp
2020	In Defense of Grid Features for Visual Question Answering. Huaizu Jiang, Ishan Misra, Marcus Rohrbach, Erik G. Learned-Miller, Xinlei Chen
2020	In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks. Heng Yang, Luca Carlone
2020	Incremental Few-Shot Object Detection. Juan-Manuel Pérez-Rúa, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang
2020	Incremental Learning in Online Scenario. Jiangpeng He, Runyu Mao, Zeman Shao, Fengqing Zhu
2020	Inducing Hierarchical Compositional Model by Sparsifying Generator Network. Xianglei Xing, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu
2020	Inferring Attention Shift Ranks of Objects for Image Saliency. Avishek Siris, Jianbo Jiao, Gary K. L. Tam, Xianghua Xie, Rynson W. H. Lau
2020	Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition. Linchao Zhu, Yi Yang
2020	Information-Driven Direct RGB-D Odometry. Alejandro Fontán, Javier Civera, Rudolph Triebel
2020	Instance Credibility Inference for Few-Shot Learning. Yikai Wang, Chengming Xu, Chen Liu, Li Zhang, Yanwei Fu
2020	Instance Guided Proposal Network for Person Search. Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan
2020	Instance Segmentation of Biological Images Using Harmonic Embeddings. Victor Kulikov, Victor S. Lempitsky
2020	Instance Shadow Detection. Tianyu Wang, Xiaowei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu
2020	Instance-Aware Image Colorization. Jheng-Wei Su, Hung-Kuo Chu, Jia-Bin Huang
2020	Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
2020	Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only. Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan
2020	Inter-Region Affinity Distillation for Road Marking Segmentation. Yuenan Hou, Zheng Ma, Chunxiao Liu, Tak-Wai Hui, Chen Change Loy
2020	Inter-Task Association Critic for Cross-Resolution Person Re-Identification. Zhiyi Cheng, Qi Dong, Shaogang Gong, Xiatian Zhu
2020	Interactive Image Segmentation With First Click Attention. Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu
2020	Interactive Multi-Label CNN Learning With Partial Labels. Dat Huynh, Ehsan Elhamifar
2020	Interactive Object Segmentation With Inside-Outside Guidance. Shiyin Zhang, Jun Hao Liew, Yunchao Wei, Shikui Wei, Yao Zhao
2020	Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection. Huajun Zhou, Xiaohua Xie, Jian-Huang Lai, Zixuan Chen, Lingxiao Yang
2020	Interpretable and Accurate Fine-grained Recognition via Region Grouping. Zixuan Huang, Yin Li
2020	Interpreting the Latent Space of GANs for Semantic Face Editing. Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou
2020	IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning. Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi
2020	Intra- and Inter-Action Understanding via Temporal Action Parsing. Dian Shao, Yue Zhao, Bo Dai, Dahua Lin
2020	Intuitive, Interactive Beard and Hair Synthesis With Generative Models. Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, Hao Li
2020	Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image. Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker
2020	Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA. Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach
2020	Iterative Context-Aware Graph Inference for Visual Dialog. Dan Guo, Hui Wang, Hanwang Zhang, Zheng-Jun Zha, Meng Wang
2020	Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning. Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang
2020	JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces. Irit Chelly, Vlad Winter, Dor Litvak, David Rosen, Oren Freifeld
2020	JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection. Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao
2020	Joint 3D Instance Segmentation and Object Detection for Autonomous Driving. Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, Ruigang Yang
2020	Joint Demosaicing and Denoising With Self Guidance. Lin Liu, Xu Jia, Jianzhuang Liu, Qi Tian
2020	Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging. Zihao W. Wang, Peiqi Duan, Oliver Cossairt, Aggelos K. Katsaggelos, Tiejun Huang, Boxin Shi
2020	Joint Graph-Based Depth Refinement and Normal Estimation. Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard
2020	Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts. Mingmin Zhen, Jinglu Wang, Lei Zhou, Shiwei Li, Tianwei Shen, Jiaxiang Shang, Tian Fang, Long Quan
2020	Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking. Peiliang Li, Jieqi Shi, Shaojie Shen
2020	Joint Texture and Geometry Optimization for RGB-D Reconstruction. Yanping Fu, Qingan Yan, Jie Liao, Chunxia Xiao
2020	Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu
2020	Just Go With the Flow: Self-Supervised Scene Flow Estimation. Himangi Mittal, Brian Okorn, David Held
2020	KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering. Lei Zhou, Zixin Luo, Tianwei Shen, Jiahui Zhang, Mingmin Zhen, Yao Yao, Tian Fang, Long Quan
2020	KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
2020	KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations. Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, Weiming Wang
2020	Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge. Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas
2020	L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
2020	LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks. Hang Zhou, Dongdong Chen, Jing Liao, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Weiming Zhang, Gang Hua, Nenghai Yu
2020	LSM: Learning Subspace Minimization for Low-Level Vision. Chengzhou Tang, Lu Yuan, Ping Tan
2020	LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng
2020	LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng
2020	Label Decoupling Framework for Salient Object Detection. Jun Wei, Shuhui Wang, Zhe Wu, Chi Su, Qingming Huang, Qi Tian
2020	Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition. Shikai Chen, Jianfeng Wang, Yuedong Chen, Zhongchao Shi, Xin Geng, Yong Rui
2020	Large Scale Video Representation Learning via Relational Graph Clustering. Hyodong Lee, Joonseok Lee, Joe Yue-Hei Ng, Paul Natsev
2020	Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels. Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan
2020	LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox
2020	Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition. Canjie Luo, Yuanzhi Zhu, Lianwen Jin, Yongpan Wang
2020	Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness. Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2020	Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules. Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto
2020	Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions. Johanna Wald, Helisa Dhamo, Nassir Navab, Federico Tombari
2020	Learning Augmentation Network via Influence Functions. Donghoon Lee, Hyunsin Park, Trung X. Pham, Chang D. Yoo
2020	Learning Better Lossless Compression Using Lossy Compression. Fabian Mentzer, Luc Van Gool, Michael Tschannen
2020	Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation. Dengsheng Chen, Jun Li, Zheng Wang, Kai Xu
2020	Learning Combinatorial Solver for Graph Matching. Tao Wang, He Liu, Yidong Li, Yi Jin, Xiaohui Hou, Haibin Ling
2020	Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses. Wanqing Zhao, Shaobo Zhang, Ziyu Guan, Wei Zhao, Jinye Peng, Jianping Fan
2020	Learning Depth-Guided Convolutions for Monocular 3D Object Detection. Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo
2020	Learning Dynamic Relationships for 3D Human Motion Prediction. Qiongjie Cui, Huaijiang Sun, Fei Yang
2020	Learning Dynamic Routing for Semantic Segmentation. Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, Jian Sun
2020	Learning Event-Based Motion Deblurring. Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy S. J. Ren, Jiancheng Lv, Yebin Liu
2020	Learning Fast and Robust Target Models for Video Object Segmentation. Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
2020	Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration. Yang He, Yuhang Ding, Ping Liu, Linchao Zhu, Hanwang Zhang, Yi Yang
2020	Learning Formation of Physically-Based Face Attributes. Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, Hao Li
2020	Learning From Noisy Anchors for One-Stage Object Detection. Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis
2020	Learning From Synthetic Animals. Jiteng Mu, Weichao Qiu, Gregory D. Hager, Alan L. Yuille
2020	Learning From Web Data With Self-Organizing Memory Module. Yi Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang
2020	Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields. Jinglei Shi, Xiaoran Jiang, Christine Guillemot
2020	Learning Generative Models of Shape Handles. Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji
2020	Learning Geocentric Object Pose in Oblique Monocular Images. Gordon A. Christie, Rodrigo Rene Rai Munoz Abujder, Kevin Foster, Shea Hagstrom, Gregory D. Hager, Myron Z. Brown
2020	Learning Human-Object Interaction Detection Using Interaction Points. Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun
2020	Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment. Po-Hsiang Huang, Fu-En Yang, Yu-Chiang Frank Wang
2020	Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis. K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar
2020	Learning Instance Occlusion for Panoptic Segmentation. Justin Lazarow, Kwonjoon Lee, Kunyu Shi, Zhuowen Tu
2020	Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation. Junsong Fan, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan
2020	Learning Interactions and Relationships Between Movie Characters. Anna Kukleva, Makarand Tapaswi, Ivan Laptev
2020	Learning Invariant Representation for Unsupervised Image Restoration. Wenchao Du, Hu Chen, Hongyu Yang
2020	Learning Longterm Representations for Person Re-Identification Using Radio Signals. Lijie Fan, Tianhong Li, Rongyao Fang, Rumen Hristov, Yuan Yuan, Dina Katabi
2020	Learning Memory-Guided Normality for Anomaly Detection. Hyunjong Park, Jongyoun Noh, Bumsub Ham
2020	Learning Meta Face Recognition in Unseen Domains. Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li
2020	Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao
2020	Learning Multi-Object Tracking and Segmentation From Automatic Annotations. Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulò, Peter Kontschieder
2020	Learning Multi-View Camera Relocalization With Graph Neural Networks. Fei Xue, Xin Wu, Shaojun Cai, Junqiu Wang
2020	Learning Multiview 3D Point Cloud Registration. Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal
2020	Learning Nanoscale Motion Patterns of Vesicles in Living Cells. Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
2020	Learning Oracle Attention for High-Fidelity Face Completion. Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao
2020	Learning Physics-Guided Face Relighting Under Directional Light. Thomas Nestmeyer, Jean-François Lalonde, Iain A. Matthews, Andreas M. Lehrmann
2020	Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging. Qilin Sun, Ethan Tseng, Qiang Fu, Wolfgang Heidrich, Felix Heide
2020	Learning Representations by Predicting Bags of Visual Words. Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2020	Learning Saliency Propagation for Semi-Supervised Instance Segmentation. Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu
2020	Learning Selective Self-Mutual Attention for RGB-D Saliency Detection. Nian Liu, Ni Zhang, Junwei Han
2020	Learning Situational Driving. Eshed Ohn-Bar, Aditya Prakash, Aseem Behl, Kashyap Chitta, Andreas Geiger
2020	Learning Temporal Co-Attention Models for Unsupervised Video Action Localization. Guoqiang Gong, Xinghan Wang, Yadong Mu, Qi Tian
2020	Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation. Myeongjin Kim, Hyeran Byun
2020	Learning Texture Transformer Network for Image Super-Resolution. Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo
2020	Learning Unseen Concepts via Hierarchical Decomposition and Composition. Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao
2020	Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image. Despoina Paschalidou, Luc Van Gool, Andreas Geiger
2020	Learning User Representations for Open Vocabulary Image Hashtag Prediction. Thibaut Durand
2020	Learning Video Object Segmentation From Unlabeled Videos. Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi
2020	Learning Video Stabilization Using Optical Flow. Jiyang Yu, Ravi Ramamoorthi
2020	Learning Visual Emotion Representations From Web Data. Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras
2020	Learning Visual Motion Segmentation Using Event Surfaces. Anton Mitrokhin, Zhiyuan Hua, Cornelia Fermüller, Yiannis Aloimonos
2020	Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders. Nina Miolane, Susan P. Holmes
2020	Learning When and Where to Zoom With Deep Reinforcement Learning. Burak Uzkent, Stefano Ermon
2020	Learning a Dynamic Map of Visual Appearance. Tawfiq Salem, Scott Workman, Nathan Jacobs
2020	Learning a Neural 3D Texture Space From 2D Exemplars. Philipp Henzler, Niloy J. Mitra, Tobias Ritschel
2020	Learning a Neural Solver for Multiple Object Tracking. Guillem Brasó, Laura Leal-Taixé
2020	Learning a Reinforced Agent for Flexible Exposure Bracketing Selection. Zhouxia Wang, Jiawei Zhang, Mude Lin, Jiong Wang, Ping Luo, Jimmy S. J. Ren
2020	Learning a Unified Sample Weighting Network for Object Detection. Qi Cai, Yingwei Pan, Yu Wang, Jingen Liu, Ting Yao, Tao Mei
2020	Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection. Jie Chen, Zhiheng Li, Jiebo Luo, Chenliang Xu
2020	Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang
2020	Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement. Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
2020	Learning in the Frequency Domain. Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren
2020	Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition. Zongyan Han, Zhenyong Fu, Jian Yang
2020	Learning to Autofocus. Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih
2020	Learning to Cartoonize Using White-Box Cartoon Representations. Xinrui Wang, Jinze Yu
2020	Learning to Cluster Faces via Confidence and Connectivity Estimation. Lei Yang, Dapeng Chen, Xiaohang Zhan, Rui Zhao, Chen Change Loy, Dahua Lin
2020	Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection. Fa-Ting Hong, Wei-Hong Li, Wei-Shi Zheng
2020	Learning to Discriminate Information for Online Action Detection. Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim
2020	Learning to Dress 3D People in Generative Clothing. Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, Michael J. Black
2020	Learning to Evaluate Perception Models Using Planner-Centric Metrics. Jonah Philion, Amlan Kar, Sanja Fidler
2020	Learning to Forget for Meta-Learning. Sungyong Baik, Seokil Hong, Kyoung Mu Lee
2020	Learning to Generate 3D Training Data Through Hybrid Gradient. Dawei Yang, Jia Deng
2020	Learning to Have an Ear for Face Super-Resolution. Givi Meishvili, Simon Jenni, Paolo Favaro
2020	Learning to Learn Cropping Models for Different Aspect Ratio Requirements. Debang Li, Junge Zhang, Kaiqi Huang
2020	Learning to Learn Single Domain Generalization. Fengchun Qiao, Long Zhao, Xi Peng
2020	Learning to Manipulate Individual Objects in an Image. Yanchao Yang, Yutong Chen, Stefano Soatto
2020	Learning to Measure the Static Friction Coefficient in Cloth Contact. Abdullah Haroon Rasheed, Victor Romero, Florence Bertails-Descoubes, Stefanie Wuhrer, Jean-Sébastien Franco, Arnaud Lazarus
2020	Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations. Alan Dolhasz, Carlo Harvey, Ian Williams
2020	Learning to Optimize Non-Rigid Tracking. Yang Li, Aljaz Bozic, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner
2020	Learning to Optimize on SPD Manifolds. Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
2020	Learning to Restore Low-Light Images via Decomposition-and-Enhancement. Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau
2020	Learning to See Through Obstructions. Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang
2020	Learning to Segment 3D Point Clouds in 2D Image Space. Yecheng Lyu, Xinming Huang, Ziming Zhang
2020	Learning to Segment the Tail. Xinting Hu, Yi Jiang, Kaihua Tang, Jingyuan Chen, Chunyan Miao, Hanwang Zhang
2020	Learning to Select Base Classes for Few-Shot Classification. Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian
2020	Learning to Shadow Hand-Drawn Sketches. Qingyuan Zheng, Zhuoru Li, Adam Bargteil
2020	Learning to Simulate Dynamic Environments With GameGAN. Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler
2020	Learning to Structure an Image With Few Colors. Yunzhong Hou, Liang Zheng, Stephen Gould
2020	Learning to Super Resolve Intensity Images From Events. S. Mohammad Mostafavi I., Jonghyun Choi, Kuk-Jin Yoon
2020	Learning to Transfer Texture From Clothing Images to 3D Humans. Aymen Mir, Thiemo Alldieck, Gerard Pons-Moll
2020	Leveraging 2D Data to Learn Textured 3D Mesh Generation. Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert
2020	Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction. Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid
2020	LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention. Junbo Yin, Jianbing Shen, Chenye Guan, Dingfu Zhou, Ruigang Yang
2020	LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
2020	Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization. Jing Jin, Junhui Hou, Jie Chen, Sam Kwong
2020	Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
2020	Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely
2020	Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation. Edoardo Remelli, Shangchen Han, Sina Honari, Pascal Fua, Robert Wang
2020	Lightweight Photometric Stereo for Facial Details Recovery. Xueying Wang, Yudong Guo, Bailin Deng, Juyong Zhang
2020	Listen to Look: Action Recognition by Previewing Audio. Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, Lorenzo Torresani
2020	Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation. Hao Tang, Dan Xu, Yan Yan, Philip H. S. Torr, Nicu Sebe
2020	Local Context Normalization: Revisiting Local Normalization. Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic
2020	Local Deep Implicit Functions for 3D Shape. Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser
2020	Local Implicit Grid Representations for 3D Scenes. Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser
2020	Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings. Shaifali Parashar, Mathieu Salzmann, Pascal Fua
2020	Local-Global Video-Text Interactions for Temporal Grounding. Jonghwan Mun, Minsu Cho, Bohyung Han
2020	Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition. Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, Tao Mei
2020	Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer. Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2020	M-LVC: Multiple Frames Prediction for Learned Video Compression. Jianping Lin, Dong Liu, Houqiang Li, Feng Wu
2020	M2m: Imbalanced Classification via Major-to-Minor Translation. Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
2020	MAGSAC++, a Fast, Reliable and Accurate Robust Estimator. Dániel Baráth, Jana Noskova, Maksym Ivashechkin, Jiri Matas
2020	MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction. Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
2020	MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng
2020	MAST: A Memory-Augmented Self-Supervised Tracker. Zihang Lai, Erika Lu, Weidi Xie
2020	MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model. Han Fu, Rui Wu, Chenghao Liu, Jianling Sun
2020	MEBOW: Monocular Estimation of Body Orientation in the Wild. Chenyan Wu, Yukun Chen, Jiajia Luo, Che-Chun Su, Anuja Dawane, Bikramjot Hanzra, Zhuo Deng, Bilan Liu, James Z. Wang, Cheng-Hao Kuo
2020	METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos. Da Zhang, Xiyang Dai, Yuan-Fang Wang
2020	MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment. Florian Bernard, Zeeshan Khan Suri, Christian Theobalt
2020	MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis. Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi
2020	MLCVNet: Multi-Level Context VoteNet for 3D Object Detection. Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang
2020	MMTM: Multimodal Transfer Module for CNN Fusion. Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L. Iuzzolino, Kazuhito Koishida
2020	MPM: Joint Representation of Motion and Position Map for Cell Tracking. Junya Hayashida, Kazuya Nishimura, Ryoma Bise
2020	MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks. Animesh Karnewar, Oliver Wang
2020	MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
2020	MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning. Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu
2020	MUXConv: Information Multiplexing in Convolutional Neural Networks. Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti
2020	Maintaining Discrimination and Fairness in Class Incremental Learning. Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia
2020	Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks. Luca Bertinetto, Romain Müller, Konstantinos Tertikas, Sina Samangooei, Nicholas A. Lord
2020	ManiGAN: Text-Guided Image Manipulation. Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr
2020	Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition. Frederik Warburg, Søren Hauberg, Manuel López-Antequera, Pau Gargallo, Yubin Kuang, Javier Civera
2020	Mask Encoding for Single Shot Instance Segmentation. Rufeng Zhang, Zhi Tian, Chunhua Shen, Mingyu You, Youliang Yan
2020	MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask. Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu
2020	MaskGAN: Towards Diverse and Interactive Facial Image Manipulation. Cheng-Han Lee, Ziwei Liu, Lingyun Wu, Ping Luo
2020	McFlow: Monte Carlo Flow Models for Data Imputation. Trevor W. Richardson, Wencheng Wu, Lei Lin, Beilei Xu, Edgar A. Bernal
2020	MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning. Peiye Liu, Bo Wu, Huadong Ma, Mingoo Seok
2020	Memory Aggregation Networks for Efficient Interactive Video Object Segmentation. Jiaxu Miao, Yunchao Wei, Yi Yang
2020	Memory Enhanced Global-Local Aggregation for Video Object Detection. Yihong Chen, Yue Cao, Han Hu, Liwei Wang
2020	Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising. Haokui Zhang, Ying Li, Hao Chen, Chunhua Shen
2020	Mesh-Guided Multi-View Stereo With Pyramid Architecture. Yuesong Wang, Tao Guan, Zhuo Chen, Yawei Luo, Keyang Luo, Lili Ju
2020	Meshed-Memory Transformer for Image Captioning. Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, Rita Cucchiara
2020	Meshlet Priors for 3D Mesh Reconstruction. Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen
2020	Meta-Learning of Neural Architectures for Few-Shot Learning. Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter
2020	Meta-Transfer Learning for Zero-Shot Super-Resolution. Jae Woong Soh, Sunwoo Cho, Nam Ik Cho
2020	MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation. Rongchang Xie, Chunyu Wang, Yizhou Wang
2020	MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment. Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi
2020	MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Chaoyang He, Haishan Ye, Li Shen, Tong Zhang
2020	MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer
2020	Minimal Solutions for Relative Pose With a Single Affine Correspondence. Banglei Guan, Ji Zhao, Zhang Li, Fang Sun, Friedrich Fraundorfer
2020	Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length. Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong
2020	Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines. André Mateus, Srikumar Ramalingam, Pedro Miraldo
2020	Minimizing Discrete Total Curvature for Image Processing. Qiuxiang Zhong, Yutong Li, Yijie Yang, Yuping Duan
2020	Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning. Mei Wang, Weihong Deng
2020	MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2020	Mixture Dense Regression for Object Detection and Human Pose Estimation. Ali Varamesh, Tinne Tuytelaars
2020	MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices. Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le
2020	Mnemonics Training: Multi-Class Incremental Learning Without Forgetting. Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun
2020	Modality Shifting Attention Network for Multi-Modal Video Question Answering. Junyeong Kim, Minuk Ma, Trung X. Pham, Kyungsu Kim, Chang D. Yoo
2020	Model Adaptation: Unsupervised Domain Adaptation Without Source Data. Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu
2020	Modeling Biological Immunity to Adversarial Examples. Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon
2020	Modeling the Background for Incremental Learning in Semantic Segmentation. Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo
2020	Momentum Contrast for Unsupervised Visual Representation Learning. Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
2020	MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li
2020	Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data. Yuxiao Zhou, Marc Habermann, Weipeng Xu, Ikhsanul Habibie, Christian Theobalt, Feng Xu
2020	More Grounded Image Captioning by Distilling Image-Text Matching Model. Yuanen Zhou, Meng Wang, Daqing Liu, Zhenzhen Hu, Hanwang Zhang
2020	MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
2020	MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas
2020	Moving in the Right Direction: A Regularization for Deep Metric Learning. Deen Dayal Mohan, Nishant Sankaran, Dennis Fedorishin, Srirangaraj Setlur, Venu Govindaraju
2020	Multi-Dimensional Pruning: A Unified Framework for Model Compression. Jinyang Guo, Wanli Ouyang, Dong Xu
2020	Multi-Domain Learning for Accurate and Few-Shot Color Constancy. Jin Xiao, Shuhang Gu, Lei Zhang
2020	Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification. Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen
2020	Multi-Modal Domain Adaptation for Fine-Grained Action Recognition. Jonathan Munro, Dima Damen
2020	Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text. Difei Gao, Ke Li, Ruiping Wang, Shiguang Shan, Xilin Chen
2020	Multi-Modality Cross Attention Network for Image and Sentence Matching. Xi Wei, Tianzhu Zhang, Yan Li, Yongdong Zhang, Feng Wu
2020	Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli
2020	Multi-Path Learning for Object Pose Estimation Across Domains. Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai O. Arras, Rudolph Triebel
2020	Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds. Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Tzu-Yi Hung, Lihua Xie
2020	Multi-Scale Boosted Dehazing Network With Dense Feature Fusion. Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang
2020	Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang
2020	Multi-Scale Interactive Network for Salient Object Detection. Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu
2020	Multi-Scale Progressive Fusion Network for Single Image Deraining. Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang
2020	Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji
2020	Multi-View Neural Human Rendering. Minye Wu, Yuehao Wang, Qiang Hu, Jingyi Yu
2020	Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi
2020	Multimodal Categorization of Crisis Events in Social Media. Mahdi Abavisani, Liwei Wu, Shengli Hu, Joel R. Tetreault, Alejandro Jaimes
2020	Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior. Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox
2020	Multiple Anchor Learning for Visual Object Detection. Wei Ke, Tianliang Zhang, Zeyi Huang, Qixiang Ye, Jianzhuang Liu, Dong Huang
2020	Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation. Rahul Mitra, Nitesh B. Gundavarapu, Abhishek Sharma, Arjun Jain
2020	Music Gesture for Visual Sound Separation. Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba
2020	NAS-FCOS: Fast Neural Architecture Search for Object Detection. Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang
2020	NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection. Yazhao Li, Yanwei Pang, Jianbing Shen, Jiale Cao, Ling Shao
2020	NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing. Xin Huang, Zheng Ge, Zequn Jie, Osamu Yoshie
2020	Nested Scale-Editing for Conditional Image Synthesis. Lingzhi Zhang, Jiancong Wang, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee, Jianbo Shi
2020	NestedVAE: Isolating Common Factors via Weak Supervision. Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2020	Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio. Zhengsu Chen, Jianwei Niu, Lingxi Xie, Xuefeng Liu, Longhui Wei, Qi Tian
2020	Neural Architecture Search for Lightweight Non-Local Networks. Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille
2020	Neural Blind Deconvolution Using Deep Priors. Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo
2020	Neural Cages for Detail-Preserving 3D Deformations. Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung
2020	Neural Contours: Learning to Draw Lines From 3D Shapes. Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis
2020	Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. Xi Yan, David Acuna, Sanja Fidler
2020	Neural Head Reenactment with Latent Pose Descriptors. Egor Burkov, Igor Pasechnik, Artur Grigorev, Victor S. Lempitsky
2020	Neural Implicit Embedding for Point Cloud Analysis. Kent Fujiwara, Taiichi Hashimoto
2020	Neural Network Pruning With Residual-Connections and Limited-Data. Jian-Hao Luo, Jianxin Wu
2020	Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model. Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong
2020	Neural Point Cloud Rendering via Multi-Plane Projection. Peng Dai, Yinda Zhang, Zhuwen Li, Shuaicheng Liu, Bing Zeng
2020	Neural Pose Transfer by Spatially Adaptive Instance Normalization. Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang
2020	Neural Topological SLAM for Visual Navigation. Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta
2020	Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool. Konstantinos Rematas, Vittorio Ferrari
2020	NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks. Eugene Lee, Chen-Yi Lee
2020	Neuromorphic Camera Guided High Dynamic Range Imaging. Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi
2020	Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing. Joel Stehouwer, Amin Jourabloo, Yaojie Liu, Xiaoming Liu
2020	Noise Robust Generative Adversarial Networks. Takuhiro Kaneko, Tatsuya Harada
2020	Noise-Aware Fully Webly Supervised Object Detection. Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, Qi Tian
2020	Noisier2Noise: Learning to Denoise From Unpaired Noisy Data. Nick Moran, Dan Schmidt, Yu Zhong, Patrick Coady
2020	Non-Adversarial Video Synthesis with Learned Priors. Abhishek Aich, Akash Gupta, Rameswar Panda, Rakib Hyder, M. Salman Asif, Amit K. Roy-Chowdhury
2020	Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform. Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein
2020	Non-Local Neural Networks With Grouped Bilinear Attentional Transforms. Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang
2020	Nonparametric Object and Parts Modeling With Lie Group Dynamics. David S. Hayden, Jason Pacheco, John W. Fisher III
2020	Norm-Aware Embedding for Efficient Person Search. Di Chen, Shanshan Zhang, Jian Yang, Bernt Schiele
2020	Normal Assisted Stereo Depth Estimation. Uday Kusupati, Shuo Cheng, Rui Chen, Hao Su
2020	Normalized and Geometry-Aware Self-Attention Network for Image Captioning. Longteng Guo, Jing Liu, Xinxin Zhu, Peng Yao, Shichen Lu, Hanqing Lu
2020	Normalizing Flows With Multi-Scale Autoregressive Priors. Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth
2020	Novel Object Viewpoint Estimation Through Reconstruction Alignment. Mohamed El Banani, Jason J. Corso, David F. Fouhey
2020	Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera. Jae Shin Yoon, Kihwan Kim, Orazio Gallo, Hyun Soo Park, Jan Kautz
2020	OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng
2020	Object Relational Graph With Teacher-Recommended Learning for Video Captioning. Ziqi Zhang, Yaya Shi, Chunfeng Yuan, Bing Li, Peijin Wang, Weiming Hu, Zheng-Jun Zha
2020	Object-Occluded Human Shape and Pose Estimation From a Single Color Image. Tianshu Zhang, Buzhen Huang, Yangang Wang
2020	OccuSeg: Occupancy-Aware 3D Instance Segmentation. Lei Han, Tian Zheng, Lan Xu, Lu Fang
2020	OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun
2020	Offset Bin Classification Network for Accurate Object Detection. Heqian Qiu, Hongliang Li, Qingbo Wu, Hengcan Shi
2020	Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee
2020	On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks. Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim
2020	On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner. Carolin Schmitt, Simon Donné, Gernot Riegler, Vladlen Koltun, Andreas Geiger
2020	On Positive-Unlabeled Classification in GAN. Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao
2020	On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location. Osman Semih Kayhan, Jan C. van Gemert
2020	On Vocabulary Reliance in Scene Text Recognition. Zhaoyi Wan, Jielei Zhang, Liang Zhang, Jiebo Luo, Cong Yao
2020	On the Acceleration of Deep Learning Model Parallelism With Staleness. An Xu, Zhouyuan Huo, Heng Huang
2020	On the Detection of Digital Face Manipulation. Hao Dang, Feng Liu, Joel Stehouwer, Xiaoming Liu, Anil K. Jain
2020	On the Distribution of Minima in Intrinsic-Metric Rotation Averaging. Kyle Wilson, David Bindel
2020	On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang
2020	On the Regularization Properties of Structured Dropout. Ambar Pal, Connor Lane, René Vidal, Benjamin D. Haeffele
2020	On the Uncertainty of Self-Supervised Monocular Depth Estimation. Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
2020	One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples. Chang Xiao, Changxi Zheng
2020	One-Shot Adversarial Attacks on Visual Tracking With Dual Attention. Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji
2020	One-Shot Domain Adaptation for Face Generation. Chao Yang, Ser-Nam Lim
2020	Online Deep Clustering for Unsupervised Representation Learning. Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
2020	Online Depth Learning Against Forgetting in Monocular Videos. Zhenyu Zhang, Stéphane Lathuilière, Elisa Ricci, Nicu Sebe, Yan Yan, Jian Yang
2020	Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification. Jiahuan Zhou, Bing Su, Ying Wu
2020	Online Knowledge Distillation via Collaborative Learning. Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo
2020	Oops! Predicting Unintentional Action in Video. Dave Epstein, Boyuan Chen, Carl Vondrick
2020	Open Compound Domain Adaptation. Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong
2020	Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning. Wending Yan, Aashish Sharma, Robby T. Tan
2020	Optical Flow in the Dark. Yinqiang Zheng, Mingfang Zhang, Feng Lu
2020	Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation. Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris M. Kitani
2020	Optimal least-squares solution to the hand-eye calibration problem. Amit Dekel, Linus Härenstam-Nielsen, Sergio Caccamo
2020	Optimizing Rank-Based Metrics With Blackbox Differentiation. Michal Rolínek, Vít Musil, Anselm Paulus, Marin Vlastelica P., Claudio Michaelis, Georg Martius
2020	Orderless Recurrent Models for Multi-Label Classification. Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer
2020	Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Le Lu
2020	OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold. Mohamed Yousef, Tom E. Bishop
2020	Orthogonal Convolutional Neural Networks. Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu
2020	Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax. Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng
2020	Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization. Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven W. Su
2020	P-nets: Deep Polynomial Neural Networks. Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou
2020	P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds. Haozhe Qi, Chen Feng, Zhiguo Cao, Feng Zhao, Yang Xiao
2020	PADS: Policy-Adapted Sampling for Visual Similarity Learning. Karsten Roth, Timo Milbich, Björn Ommer
2020	PANDA: A Gigapixel-Level Human-Centric Video Dataset. Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang
2020	PF-Net: Point Fractal Network for 3D Point Cloud Completion. Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le
2020	PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames. Yuqi Yang, Shilin Liu, Hao Pan, Yang Liu, Xin Tong
2020	PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation. Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji
2020	PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization. Shunsuke Saito, Tomas Simon, Jason M. Saragih, Hanbyul Joo
2020	PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection. Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Chen Qian, Jiashi Feng
2020	PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen
2020	PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. Kun Su, Xiulong Liu, Eli Shlizerman
2020	PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer. Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan
2020	PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models. Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, Cynthia Rudin
2020	PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection. Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li
2020	PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation. Yisheng He, Wei Sun, Haibin Huang, Jianran Liu, Haoqiang Fan, Jian Sun
2020	PaStaNet: Toward Human Activity Knowledge Engine. Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu, Shiyi Wang, Haoshu Fang, Ze Ma, Mingyang Chen, Cewu Lu
2020	Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
2020	PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard
2020	Panoptic-Based Image Synthesis. Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro
2020	Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
2020	Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification. Dechao Meng, Liang Li, Xuejing Liu, Yadong Li, Shijie Yang, Zheng-Jun Zha, Xingyu Gao, Shuhui Wang, Qingming Huang
2020	Part-Aware Context Network for Human Parsing. Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang
2020	Partial Weight Adaptation for Robust DNN Inference. Xiufeng Xie, Kyu-Han Kim
2020	PatchVAE: Learning Local Latent Codes for Recognition. Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
2020	Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao
2020	Pattern-Structure Diffusion for Multi-Task Learning. Ling Zhou, Zhen Cui, Chunyan Xu, Zhenyu Zhang, Chaoqun Wang, Tong Zhang, Jian Yang
2020	Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker
2020	Perceptual Quality Assessment of Smartphone Photography. Yuming Fang, Hanwei Zhu, Yan Zeng, Kede Ma, Zhou Wang
2020	Perspective Plane Program Induction From a Single Image. Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
2020	Phase Consistent Ecological Domain Adaptation. Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto
2020	Photometric Stereo via Discrete Hypothesis-and-Test Search. Kenji Enomoto, Michael Waechter, Kiriakos N. Kutulakos, Yasuyuki Matsushita
2020	PhraseCut: Language-Based Image Segmentation in the Wild. Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji
2020	PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving. Zelun Kong, Junfeng Guo, Ang Li, Cong Liu
2020	Physically Realizable Adversarial Examples for LiDAR Object Detection. James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
2020	Pixel Consensus Voting for Panoptic Segmentation. Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich
2020	Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging. Xin Yuan, Yang Liu, Jin-Li Suo, Qionghai Dai
2020	PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun
2020	Point Cloud Completion by Skip-Attention Network With Hierarchical Folding. Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu
2020	Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud. Weijing Shi, Raj Rajkumar
2020	PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling. Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui
2020	PointAugment: An Auto-Augmentation Framework for Point Cloud Classification. Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu
2020	PointGMM: A Neural GMM Network for Point Clouds. Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
2020	PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia
2020	PointPainting: Sequential Fusion for 3D Object Detection. Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom
2020	PointRend: Image Segmentation As Rendering. Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick
2020	PolarMask: Single Shot Instance Segmentation With Polar Representation. Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, Ping Luo
2020	PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, Hassan Foroosh
2020	Polarized Non-Line-of-Sight Imaging. Kenichiro Tanaka, Yasuhiro Mukaigawa, Achuta Kadambi
2020	Polarized Reflection Removal With Perfect Alignment in the Wild. Chenyang Lei, Xuhua Huang, Mengdi Zhang, Qiong Yan, Wenxiu Sun, Qifeng Chen
2020	Polishing Decision-Based Adversarial Noise With a Customized Sampling. Yucheng Shi, Yahong Han, Qi Tian
2020	PolyTransform: Deep Polygon Transformer for Instance Segmentation. Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun
2020	Pose-Guided Visible Part Matching for Occluded Person ReID. Shang Gao, Jingya Wang, Huchuan Lu, Zimo Liu
2020	Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie
2020	Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning. Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai
2020	Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang, Jiarui Sun, Sen Yang, Bjoern H. Menze, Xinjuan Fan, Jianhua Yao
2020	Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks. Thomas Roddick, Roberto Cipolla
2020	Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields. Michaël Ramamonjisoa, Yuming Du, Vincent Lepetit
2020	Prime Sample Attention in Object Detection. Yuhang Cao, Kai Chen, Chen Change Loy, Dahua Lin
2020	Prior Guided GAN Based Semantic Inpainting. Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas
2020	Private-kNN: Practical Differential Privacy for Computer Vision. Yuqing Zhu, Xiang Yu, Manmohan Chandraker, Yu-Xiang Wang
2020	ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours. V. S. R. Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh
2020	Probabilistic Pixel-Adaptive Refinement Networks. Anne S. Wannenwetsch, Stefan Roth
2020	Probabilistic Regression for Visual Tracking. Martin Danelljan, Luc Van Gool, Radu Timofte
2020	Probabilistic Structural Latent Representation for Unsupervised Embedding. Mang Ye, Jianbing Shen
2020	Probabilistic Video Prediction From Noisy Data With a Posterior Confidence. Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua B. Tenenbaum
2020	Probability Weighted Compact Feature for Domain Adaptive Retrieval. Fuxiang Huang, Lei Zhang, Yang Yang, Xichuan Zhou
2020	Progressive Adversarial Networks for Fine-Grained Domain Adaptation. Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, Jianmin Wang
2020	Progressive Mirror Detection. Jiaying Lin, Guodong Wang, Rynson W. H. Lau
2020	Progressive Relation Learning for Group Activity Recognition. Guyue Hu, Bo Cui, Yuan He, Shan Yu
2020	Projection & Probability-Driven Black-Box Attack. Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian
2020	PropagationNet: Propagate Points to Curve to Learn Structure Information. Xiehe Huang, Weihong Deng, Haifeng Shen, Xiubao Zhang, Jieping Ye
2020	Proxy Anchor Loss for Deep Metric Learning. SungYeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
2020	PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation. Zhuo Chen, Chaoyue Wang, Bo Yuan, Dacheng Tao
2020	Putting Visual Object Recognition in Context. Mengmi Zhang, Claire Tseng, Gabriel Kreiman
2020	QEBA: Query-Efficient Boundary-Based Blackbox Attack. Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li
2020	Quasi-Newton Solver for Robust Non-Rigid Registration. Yuxin Yao, Bailin Deng, Weiwei Xu, Juyong Zhang
2020	Quaternion Product Units for Deep Learning on 3D Rotation Groups. Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu
2020	RDCFace: Radial Distortion Correction for Face Recognition. He Zhao, Xianghua Ying, Yongjie Shi, Xin Tong, Jingsi Wen, Hongbin Zha
2020	REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments. Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel
2020	RGBD-Dog: Predicting Canine Pose from RGBD Sensors. Sinead Kearney, Wenbin Li, Martin Parsons, Kwang In Kim, Darren Cosker
2020	RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real. Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari
2020	RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network. Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy
2020	ROAM: Recurrently Optimizing Tracking Model. Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan
2020	RPM-Net: Robust Point Matching Using Learned Features. Zi Jian Yew, Gim Hee Lee
2020	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
2020	RankMI: A Mutual Information Maximizing Ranking Loss. Mete Kemertas, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly
2020	ReDA: Reinforced Differentiable Attribute for 3D Face Reconstruction. Wenbin Zhu, HsiangTao Wu, Zeyu Chen, Noranart Vesdapunt, Baoyuan Wang
2020	ReSprop: Reuse Sparsified Backpropagation. Negar Goli, Tor M. Aamodt
2020	Real-Time Panoptic Segmentation From Dense Detections. Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
2020	Real-World Person Re-Identification via Degradation Invariance Learning. Yukun Huang, Zheng-Jun Zha, Xueyang Fu, Richang Hong, Liang Li
2020	Reciprocal Learning Networks for Human Trajectory Prediction. Hao Sun, Zhiqun Zhao, Zhihai He
2020	Recognizing Objects From Any View With Object and Viewer-Centered Representations. Sainan Liu, Vincent Nguyen, Isaac Rehg, Zhuowen Tu
2020	Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation. Ming Cai, Ian Reid
2020	Recurrent Feature Reasoning for Image Inpainting. Jingyuan Li, Ning Wang, Lefei Zhang, Bo Du, Dacheng Tao
2020	Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking. Jin Gao, Weiming Hu, Yan Lu
2020	Recursive Social Behavior Graph for Trajectory Prediction. Jianhua Sun, Qinhong Jiang, Cewu Lu
2020	Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence. Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo
2020	Referring Image Segmentation via Cross-Modal Progressive Comprehension. Shaofei Huang, Tianrui Hui, Si Liu, Guanbin Li, Yunchao Wei, Jizhong Han, Luoqi Liu, Bo Li
2020	Reflection Scene Separation From a Single Image. Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot
2020	Regularization on Spatio-Temporally Smoothed Feature for Action Recognition. Jinhyung Kim, Seunghwan Cha, Dongyoon Wee, Soonmin Bae, Junmo Kim
2020	Regularizing CNN Transfer Learning With Randomised Regression. Yang Zhong, Atsuto Maki
2020	Regularizing Class-Wise Predictions via Self-Knowledge Distillation. Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin
2020	Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning. Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
2020	Regularizing Neural Networks via Minimizing Hyperspherical Energy. Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
2020	Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann
2020	Relation-Aware Global Attention for Person Re-Identification. Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Xin Jin, Zhibo Chen
2020	Relative Interior Rule in Block-Coordinate Descent. Tomás Werner, Daniel Prusa, Tomás Dlask
2020	Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation. Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, Jindong Wang
2020	Residual Feature Aggregation Network for Image Super-Resolution. Jie Liu, Wenjie Zhang, Yuting Tang, Jie Tang, Gangshan Wu
2020	Resolution Adaptive Networks for Efficient Inference. Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang
2020	Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong
2020	Rethinking Classification and Localization for Object Detection. Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang, Hongzhi Li, Yun Fu
2020	Rethinking Computer-Aided Tuberculosis Diagnosis. Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng
2020	Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy. Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn
2020	Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets. Daniel Haase, Manuel Amthor
2020	Rethinking Differentiable Search for Mixed-Precision Neural Networks. Zhaowei Cai, Nuno Vasconcelos
2020	Rethinking Performance Estimation in Neural Architecture Search. Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian
2020	Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka
2020	Rethinking the Route Towards Weakly Supervised Object Localization. Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
2020	Retina-Like Visual Image Reconstruction via Spiking Neural Model. Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian
2020	RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild. Jiankang Deng, Jia Guo, Evangelos Ververas, Irene Kotsia, Stefanos Zafeiriou
2020	RetinaTrack: Online Single Stage Joint Detection and Tracking. Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang
2020	Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang
2020	RevealNet: Seeing Behind Objects in RGB-D Scans. Ji Hou, Angela Dai, Matthias Nießner
2020	Reverse Perspective Network for Perspective-Aware Object Counting. Yifan Yang, Guorong Li, Zhe Wu, Li Su, Qingming Huang, Nicu Sebe
2020	Revisiting Knowledge Distillation via Label Smoothing Regularization. Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng
2020	Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition. Luming Tang, Davis Wertheimer, Bharath Hariharan
2020	Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. Sen Jia, Neil D. B. Bruce
2020	Revisiting the Sibling Head in Object Detector. Guanglu Song, Yu Liu, Xiaogang Wang
2020	RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge. Jun Cheng, Fuxiang Wu, Yanling Tian, Lei Wang, Dapeng Tao
2020	RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
2020	Robust 3D Self-Portraits in Seconds. Zhe Li, Tao Yu, Chuanyu Pan, Zerong Zheng, Yebin Liu
2020	Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory. Arash Rahnama, André T. Nguyen, Edward Raff
2020	Robust Homography Estimation via Dual Principal Component Pursuit. Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris
2020	Robust Learning Through Cross-Task Consistency. Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas
2020	Robust Object Detection Under Occlusion With Context-Aware CompositionalNets. Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille
2020	Robust Partial Matching for Person Search in the Wild. Yingji Zhong, Xiaoyu Wang, Shiliang Zhang
2020	Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution. Gyumin Shim, Jinsun Park, In So Kweon
2020	Robust Superpixel-Guided Attentional Adversarial Attack. Xiaoyi Dong, Jiangfan Han, Dongdong Chen, Jiayang Liu, Huanyu Bian, Zehua Ma, Hongsheng Li, Xiaogang Wang, Weiming Zhang, Nenghai Yu
2020	Robustness Guarantees for Deep Neural Networks on Videos. Min Wu, Marta Kwiatkowska
2020	Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images. Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang
2020	Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition. Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan
2020	Rotation Equivariant Graph Convolutional Network for Spherical Image Classification. Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hongkai Xiong
2020	RoutedFusion: Learning Real-Time Depth Map Fusion. Silvan Weder, Johannes L. Schönberger, Marc Pollefeys, Martin R. Oswald
2020	S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf
2020	SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis. Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, S. Kevin Zhou
2020	SAL: Sign Agnostic Learning of Shapes From Raw Data. Matan Atzmon, Yaron Lipman
2020	SAM: The Sensitivity of Attribution Methods to Hyperparameters. Naman Bansal, Chirag Agarwal, Anh Nguyen
2020	SAPIEN: A SimulAted Part-Based Interactive ENvironment. Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su
2020	SCATTER: Selective Context Attentional Scene Text Recognizer. Ron Litman, Oron Anschel, Shahar Tsiper, Roee Litman, Shai Mazor, R. Manmatha
2020	SCOUT: Self-Aware Discriminant Counterfactual Explanations. Pei Wang, Nuno Vasconcelos
2020	SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation. Mohsen Fayyaz, Jürgen Gall
2020	SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation. Lijun Wang, Jianming Zhang, Oliver Wang, Zhe Lin, Huchuan Lu
2020	SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker
2020	SEAN: Image Synthesis With Semantic Region-Adaptive Normalization. Peihao Zhu, Rameen Abdal, Yipeng Qin, Peter Wonka
2020	SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition. Zhi Qiao, Yu Zhou, Dongbao Yang, Yucan Zhou, Weiping Wang
2020	SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness. Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
2020	SESS: Self-Ensembling Semi-Supervised 3D Object Detection. Na Zhao, Tat-Seng Chua, Gim Hee Lee
2020	SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. Angela Dai, Christian Diller, Matthias Nießner
2020	SGAS: Sequential Greedy Architecture Search. Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem
2020	SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection. Ze Chen, Zhihang Fu, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua
2020	SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell
2020	SP-NAS: Serial-to-Parallel Backbone Search for Object Detection. Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li
2020	SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings. Wenyu Han, Siyuan Xiang, Chenhui Liu, Ruoyu Wang, Chen Feng
2020	SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking. Yanru Huang, Feiyu Zhu, Zheni Zeng, Xi Qiu, Yuan Shen, Jianan Wu
2020	SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Túlio Ribeiro, Besmira Nushi, Ece Kamar
2020	SSRNet: Scalable 3D Surface Reconstruction Network. Zhenxing Mi, Yiming Luo, Wenbing Tao
2020	STAViS: Spatio-Temporal AudioVisual Saliency Network. Antigoni Tsiami, Petros Koutras, Petros Maragos
2020	STEFANN: Scene Text Editor Using Font Adaptive Neural Network. Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal
2020	STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction. Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Congcong Li
2020	SaccadeNet: A Fast and Accurate Object Detector. Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, Gang Hua
2020	Salience-Guided Cascaded Suppression Network for Person Re-Identification. Xuesong Chen, Canmiao Fu, Yong Zhao, Feng Zheng, Jingkuan Song, Rongrong Ji, Yi Yang
2020	Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance. Jaime Spencer, Richard Bowden, Simon Hadfield
2020	SampleNet: Differentiable Point Cloud Sampling. Itai Lang, Asaf Manor, Shai Avidan
2020	Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention. Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, Nesrine Chehata
2020	Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs. Shizhe Chen, Qin Jin, Peng Wang, Qi Wu
2020	Scalability in Perception for Autonomous Driving: Waymo Open Dataset. Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
2020	Scalable Uncertainty for Computer Vision With Functional Variational Inference. Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly
2020	Scale-Equalizing Pyramid Convolution for Object Detection. Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang
2020	Scale-Space Flow for End-to-End Optimized Video Compression. Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ballé, Sung Jin Hwang, George Toderici
2020	Scene Recomposition by Learning-Based ICP. Hamid Izadinia, Steven M. Seitz
2020	Scene-Adaptive Video Frame Interpolation via Meta-Learning. Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee
2020	ScopeFlow: Dynamic Scene Scoping for Optical Flow. Aviram Bar-Haim, Lior Wolf
2020	ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation. Sharon Fogel, Hadar Averbuch-Elor, Sarel Cohen, Shai Mazor, Roee Litman
2020	Screencast Tutorial Video Understanding. Kunpeng Li, Chen Fang, Zhaowen Wang, Seokhwan Kim, Hailin Jin, Yun Fu
2020	Search to Distill: Pearls Are Everywhere but Not the Eyes. Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang
2020	Searching Central Difference Convolutional Networks for Face Anti-Spoofing. Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, Xiaobai Li, Feng Zhou, Guoying Zhao
2020	Searching for Actions on the Hyperbole. Teng Long, Pascal Mettes, Heng Tao Shen, Cees G. M. Snoek
2020	Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
2020	Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather. Mario Bijelic, Tobias Gruber, Fahim Mannan, Florian Kraus, Werner Ritter, Klaus Dietmayer, Felix Heide
2020	Seeing the World in a Bag of Chips. Jeong Joon Park, Aleksander Holynski, Steven M. Seitz
2020	Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization. Lourenço V. Pato, Renato M. P. Negrinho, Pedro M. Q. Aguiar
2020	SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel. Huan Lei, Naveed Akhtar, Ajmal Mian
2020	Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds. Mohsen Joneidi, Saeed Vahidian, Ashkan Esmaeili, Weijia Wang, Nazanin Rahnavard, Bill Lin, Mubarak Shah
2020	Select, Supplement and Focus for RGB-D Saliency Detection. Miao Zhang, Weisong Ren, Yongri Piao, Zhengkun Rong, Huchuan Lu
2020	Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation. Zhihong Chen, Chao Chen, Zhaowei Cheng, Boyuan Jiang, Ke Fang, Xinyu Jin
2020	Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence. Wenhan Yang, Robby T. Tan, Shiqi Wang, Jiaying Liu
2020	Self-Learning With Rectification Strategy for Human Parsing. Tao Li, Zhiyuan Liang, Sanyuan Zhao, Jiahao Gong, Jianbing Shen
2020	Self-Robust 3D Point Recognition via Gather-Vector Guidance. Xiaoyi Dong, Dongdong Chen, Hang Zhou, Gang Hua, Weiming Zhang, Nenghai Yu
2020	Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
2020	Self-Supervised Deep Visual Odometry With Online Adaptation. Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha
2020	Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning. Jiamin Wu, Tianzhu Zhang, Zheng-Jun Zha, Jiebo Luo, Yongdong Zhang, Feng Wu
2020	Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen
2020	Self-Supervised Human Depth Estimation From Monocular Videos. Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan
2020	Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos. Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi
2020	Self-Supervised Learning of Pretext-Invariant Representations. Ishan Misra, Laurens van der Maaten
2020	Self-Supervised Learning of Video-Induced Visual Invariances. Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic
2020	Self-Supervised Monocular Scene Flow Estimation. Junhwa Hur, Stefan Roth
2020	Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume. Adrian Johnston, Gustavo Carneiro
2020	Self-Supervised Scene De-Occlusion. Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy
2020	Self-Supervised Viewpoint Learning From Image Collections. Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz
2020	Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai
2020	Self-Training With Noisy Student Improves ImageNet Classification. Qizhe Xie, Minh-Thang Luong, Eduard H. Hovy, Quoc V. Le
2020	Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image. Yuhui Quan, Mingqin Chen, Tongyao Pang, Hui Ji
2020	Semantic Correspondence as an Optimal Transport Problem. Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang
2020	Semantic Drift Compensation for Class-Incremental Learning. Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2020	Semantic Image Manipulation Using Scene Graphs. Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht
2020	Semantic Pyramid for Image Generation. Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel
2020	Semantically Multi-Modal Image Synthesis. Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai
2020	Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition. Pengfei Zhang, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jianru Xue, Nanning Zheng
2020	Semi-Supervised Learning for Few-Shot Image-to-Image Translation. Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan
2020	Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks. Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar, William G. Macready
2020	Semi-Supervised Semantic Segmentation With Cross-Consistency Training. Yassine Ouali, Céline Hudelot, Myriam Tami
2020	Separating Particulate Matter From a Single Microscopic Image. Tushar Sandhan, Jin Young Choi
2020	Sequential 3D Human Pose and Shape Estimation From Point Clouds. Kangkan Wang, Jin Xie, Guofeng Zhang, Lei Liu, Jian Yang
2020	Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget. Guy Davidson, Michael C. Mozer
2020	Sequential Motif Profiles and Topological Plots for Offline Signature Verification. Elias N. Zois, Evangelos Zervas, Dimitrios Tsourounis, George Economou
2020	Set-Constrained Viterbi for Set-Supervised Action Segmentation. Jun Li, Sinisa Todorovic
2020	Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training. Xiaofeng Liu, Wenxuan Ji, Jane You, Georges El Fakhri, Jonghye Woo
2020	Shape Reconstruction by Learning Differentiable Surface Representations. Jan Bednarík, Shaifali Parashar, Erhan Gündogdu, Mathieu Salzmann, Pascal Fua
2020	Shape correspondence using anisotropic Chebyshev spectral CNNs. Qinsong Li, Shengjun Liu, Ling Hu, Xinru Liu
2020	SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation. Koutilya PNVR, Hao Zhou, David Jacobs
2020	Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data. Wanyu Lin, Zhaolin Gao, Baochun Li
2020	Show, Edit and Tell: A Framework for Editing Image Captions. Fawaz Sammani, Luke Melas-Kyriazi
2020	Siam R-CNN: Visual Tracking by Re-Detection. Paul Voigtlaender, Jonathon Luiten, Philip H. S. Torr, Bastian Leibe
2020	SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking. Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen
2020	Siamese Box Adaptive Network for Visual Tracking. Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji
2020	Sideways: Depth-Parallel Training of Video Models. Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean
2020	Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation. Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, Richard Bowden
2020	Single Image Optical Flow Estimation With an Event Camera. Liyuan Pan, Miaomiao Liu, Richard Hartley
2020	Single Image Reflection Removal Through Cascaded Refinement. Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft
2020	Single Image Reflection Removal With Physically-Based Training Images. Soomin Kim, Yuchi Huo, Sung-Eui Yoon
2020	Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline. Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang
2020	Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction. Andreas Meuleman, Seung-Hwan Baek, Felix Heide, Min H. Kim
2020	Single-Side Domain Generalization for Face Anti-Spoofing. Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen
2020	Single-Stage 6D Object Pose Estimation. Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann
2020	Single-Stage Semantic Segmentation From Image Labels. Nikita Araslanov, Stefan Roth
2020	Single-Step Adversarial Training With Dropout Scheduling. Vivek B. S., R. Venkatesh Babu
2020	Single-View View Synthesis With Multiplane Images. Richard Tucker, Noah Snavely
2020	Skeleton-Based Action Recognition With Shift Graph Convolutional Network. Ke Cheng, Yifan Zhang, Xiangyu He, Weihan Chen, Jian Cheng, Hanqing Lu
2020	Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt. Hangyu Lin, Yanwei Fu, Xiangyang Xue, Yu-Gang Jiang
2020	Sketchformer: Transformer-Based Representation for Sketched Structure. Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti
2020	SketchyCOCO: Image Generation From Freehand Scene Sketches. Chengying Gao, Qi Liu, Qi Xu, Limin Wang, Jianzhuang Liu, Changqing Zou
2020	SmallBigNet: Integrating Core and Contextual Views for Video Classification. Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao
2020	Smooth Shells: Multi-Scale Shape Registration With Functional Maps. Marvin Eisenberger, Zorah Lähner, Daniel Cremers
2020	Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification. Guangcong Wang, Jian-Huang Lai, Wenqi Liang, Guangrun Wang
2020	Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction. Abduallah A. Mohamed, Kun Qian, Mohamed Elhoseiny, Christian G. Claudel
2020	Softmax Splatting for Video Frame Interpolation. Simon Niklaus, Feng Liu
2020	Solving Jigsaw Puzzles With Eroded Boundaries. Dov Bridger, Dov Danon, Ayellet Tal
2020	Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell
2020	SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds. Hanyu Shi, Guosheng Lin, Hao Wang, Tzu-Yi Hung, Zhenhua Wang
2020	Space-Time-Aware Multi-Resolution Video Enhancement. Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
2020	Sparse Layered Graphs for Multi-Object Segmentation. Niels Jeppesen, Anders Nymark Christensen, Vedrana Andersen Dahl, Anders B. Dahl
2020	Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu
2020	Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification. Jinrui Yang, Wei-Shi Zheng, Qize Yang, Ying-Cong Chen, Qi Tian
2020	Spatially Attentive Output Layer for Image Classification. Ildoo Kim, Woonhyuk Baek, Sungwoong Kim
2020	Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring. Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan
2020	Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles
2020	Spatiotemporal Fusion in 3D CNNs: A Probabilistic View. Yizhou Zhou, Xiaoyan Sun, Chong Luo, Zheng-Jun Zha, Wenjun Zeng
2020	Speech2Action: Cross-Modal Supervision for Action Recognition. Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman
2020	SpeedNet: Learning the Speediness in Videos. Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel
2020	Spherical Space Domain Adaptation With Robust Pseudo-Label Loss. Xiang Gu, Jian Sun, Zongben Xu
2020	SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song
2020	Squeeze-and-Attention Networks for Semantic Segmentation. Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Zhifeng Li, Wei-Shi Zheng, Jonathan Li, Alexander Wong
2020	StarGAN v2: Diverse Image Synthesis for Multiple Domains. Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha
2020	State-Aware Tracker for Real-Time Video Object Segmentation. Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi
2020	State-Relabeling Adversarial Active Learning. Beichen Zhang, Liang Li, Shijie Yang, Shuhui Wang, Zheng-Jun Zha, Qingming Huang
2020	Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. Simon Jenni, Hailin Jin, Paolo Favaro
2020	StegaStamp: Invisible Hyperlinks in Physical Photographs. Matthew Tancik, Ben Mildenhall, Ren Ng
2020	StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching. Rui Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, Hongsheng Li
2020	Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery. Xu Cao, Michael Waechter, Boxin Shi, Ye Gao, Bo Zheng, Yasuyuki Matsushita
2020	Stochastic Classifiers for Unsupervised Domain Adaptation. Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, Tao Xiang
2020	Stochastic Sparse Subspace Clustering. Ying Chen, Chun-Guang Li, Chong You
2020	Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data. Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Leandro Soriano Marcolino, Erickson Rangel do Nascimento
2020	Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng
2020	StructEdit: Learning Structural Shape Variations. Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas
2020	Structure Aware Single-Stage 3D Object Detection From Point Cloud. Chenhang He, Hui Zeng, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang
2020	Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary. Hong Joo Lee, Jung Uk Kim, Sangmin Lee, Hak Gu Kim, Yong Man Ro
2020	Structure Preserving Generative Cross-Domain Learning. Haifeng Xia, Zhengming Ding
2020	Structure-Guided Ranking Loss for Single Image Depth Prediction. Ke Xian, Jianming Zhang, Oliver Wang, Long Mai, Zhe Lin, Zhiguo Cao
2020	Structure-Preserving Super Resolution With Gradient Guidance. Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou
2020	Structured Compression by Weight Encryption for Unstructured Pruning and Quantization. Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei
2020	Structured Multi-Hashing for Model Compression. Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2020	Style Normalization and Restitution for Generalizable Person Re-Identification. Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Li Zhang
2020	StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images. Ayush Tewari, Mohamed A. Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt
2020	Stylization-Based Architecture for Fast Deep Exemplar Colorization. Zhongyou Xu, Tingting Wang, Faming Fang, Yun Sheng, Guixu Zhang
2020	Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects. Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas
2020	Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation. Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu
2020	SuperGlue: Learning Feature Matching With Graph Neural Networks. Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
2020	Superpixel Segmentation With Fully Convolutional Networks. Fengting Yang, Qian Sun, Hailin Jin, Zihan Zhou
2020	Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes. Huanjing Yue, Cong Cao, Lei Liao, Ronghe Chu, Jingyu Yang
2020	Suppressing Uncertainties for Large-Scale Facial Expression Recognition. Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, Yu Qiao
2020	SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar
2020	SwapText: Image Based Texts Transfer in Scenes. Qiangpeng Yang, Jun Huang, Wei Lin
2020	Symmetry and Group in Attribute-Object Compositions. Yong-Lu Li, Yue Xu, Xiaohan Mao, Cewu Lu
2020	Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes. Rajeev Yasarla, Vishwanath A. Sindagi, Vishal M. Patel
2020	SynSin: End-to-End View Synthesis From a Single Image. Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson
2020	Synchronizing Probability Measures on Rotations via Optimal Transport. Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas
2020	Syntax-Aware Action Targeting for Video Captioning. Qi Zheng, Chaoyue Wang, Dacheng Tao
2020	Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
2020	TA-Student VQA: Multi-Agents Training by Self-Questioning. Peixi Xiong, Ying Wu
2020	TBT: Targeted Neural Network Attack With Bit Trojan. Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2020	TCTS: A Task-Consistent Two-Stage Framework for Person Search. Cheng Wang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen
2020	TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution. Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu
2020	TEA: Temporal Excitation and Aggregation for Action Recognition. Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang
2020	TESA: Tensor Element Self-Attention via Matricization. Francesca Babiloni, Ioannis Marras, Gregory G. Slabaugh, Stefanos Zafeiriou
2020	TITAN: Future Forecast Using Action Priors. Srikanth Malla, Behzad Dariush, Chiho Choi
2020	TPNet: Trajectory Proposal Network for Motion Prediction. Liangji Fang, Qinhong Jiang, Jianping Shi, Bolei Zhou
2020	TRPLP - Trifocal Relative Pose From Lines at Points. Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias P. Tsigaridas, Charles W. Wampler, Jonathan D. Hauenstein, Peter J. Giblin, Benjamin B. Kimia, Anton Leykin, Tomás Pajdla
2020	TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style. Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll
2020	Taking a Deeper Look at Co-Salient Object Detection. Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng
2020	Tangent Images for Mitigating Spherical Distortion. Marc Eder, Mykhailo Shvets, John Lim, Jan-Michael Frahm
2020	Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim
2020	Telling Left From Right: Learning Spatial Correspondence of Sight and Sound. Karren Yang, Bryan C. Russell, Justin Salamon
2020	Temporal Pyramid Network for Action Recognition. Ceyuan Yang, Yinghao Xu, Jianping Shi, Bo Dai, Bolei Zhou
2020	Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians. Jialian Wu, Chunluan Zhou, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan
2020	Temporally Distributed Networks for Fast Video Semantic Segmentation. Ping Hu, Fabian Caba, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi
2020	TetraTSDF: 3D Human Reconstruction From a Single Image With a Tetrahedral Outer Shell. Hayato Onizuka, Zehra Hayirci, Diego Thomas, Akihiro Sugimoto, Hideaki Uchiyama, Rin-Ichiro Taniguchi
2020	Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition. Yuwei Zhang, Peng Zhang, Chun Yuan, Zhi Wang
2020	TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning. Joo Ho Lee, Hyunho Ha, Yue Dong, Xin Tong, Min H. Kim
2020	The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation. Junjie Huang, Zheng Zhu, Feng Guo, Guan Huang
2020	The Edge of Depth: Explicit Constraints Between Segmentation and Depth. Shengjie Zhu, Garrick Brazil, Xiaoming Liu
2020	The GAN That Warped: Semantic Attribute Editing With Unpaired Data. Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor J. A. Simpson
2020	The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. Junwei Liang, Lu Jiang, Kevin P. Murphy, Ting Yu, Alexander G. Hauptmann
2020	The Knowledge Within: Methods for Data-Free Model Compression. Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry
2020	The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song
2020	There and Back Again: Revisiting Backpropagation Saliency Methods. Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi
2020	Three-Dimensional Reconstruction of Human Interactions. Mihai Fieraru, Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Vlad Olaru, Cristian Sminchisescu
2020	Through Fog High-Resolution Imaging Using Millimeter Wave Radar. Junfeng Guan, Sohrab Madani, Suraj Jog, Saurabh Gupta, Haitham Hassanieh
2020	Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes. Zhengqin Li, Yu-Ying Yeh, Manmohan Chandraker
2020	Time Flies: Animating a Still Image With Time-Lapse Video As Reference. Chia-Chi Cheng, Hung-Yu Chen, Wei-Chen Chiu
2020	TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos. Guangming Zang, Ramzi Idoughi, Congli Wang, Anthony Bennett, Jianguo Du, Scott Skeen, William L. Roberts, Peter Wonka, Wolfgang Heidrich
2020	Total Deep Variation for Linear Inverse Problems. Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock
2020	Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image. Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, Jian-Jun Zhang
2020	Toward a Universal Model for Shape From Texture. Dor Verbin, Todd E. Zickler
2020	Towards Accurate Scene Text Recognition With Semantic Reasoning Networks. Deli Yu, Xuan Li, Chengquan Zhang, Tao Liu, Junyu Han, Jingtuo Liu, Errui Ding
2020	Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu
2020	Towards Backward-Compatible Representation Learning. Yantao Shen, Yuanjun Xiong, Wei Xia, Stefano Soatto
2020	Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet. Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu
2020	Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. Vedika Agarwal, Rakshith Shetty, Mario Fritz
2020	Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations. Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian
2020	Towards Efficient Model Compression via Learned Global Ranking. Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu
2020	Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky
2020	Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai
2020	Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks. Jiangke Lin, Yi Yuan, Tianjia Shao, Kun Zhou
2020	Towards Inheritable Models for Open-Set Domain Adaptation. Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu
2020	Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance. Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
2020	Towards Learning Structure via Consensus for Face Segmentation and Parsing. Iacopo Masi, Joe Mathai, Wael AbdAlmageed
2020	Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training. Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao
2020	Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content. Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo
2020	Towards Robust Image Classification Using Sequential Attention Models. Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
2020	Towards Transferable Targeted Attack. Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang
2020	Towards Unified INT8 Training for Convolutional Neural Network. Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan
2020	Towards Universal Representation Learning for Deep Face Recognition. Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain
2020	Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger
2020	Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations. Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2020	Towards Visually Explaining Variational Autoencoders. WenQian Liu, Runze Li, Meng Zheng, Srikrishna Karanam, Ziyan Wu, Bir Bhanu, Richard J. Radke, Octavia I. Camps
2020	Tracking by Instance Detection: A Meta-Learning Approach. Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng
2020	Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020	Training Noise-Robust Deep Neural Networks via Meta-Learning. Zhen Wang, Guosheng Hu, Qinghua Hu
2020	Training Quantized Neural Networks With a Full-Precision Auxiliary Module. Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid
2020	Training a Steerable CNN for Guidewire Detection. Donghang Li, Adrian Barbu
2020	TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning. Zhongjie Yu, Lin Chen, Zhongwei Cheng, Jiebo Luo
2020	TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting. Zhuoqian Yang, Wentao Zhu, Wayne Wu, Chen Qian, Qiang Zhou, Bolei Zhou, Chen Change Loy
2020	Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization. Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho
2020	Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin
2020	Transferring Cross-Domain Knowledge for Video Sign Language Recognition. Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li
2020	Transferring Dense Pose to Proximal Animal Classes. Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova
2020	Transferring and Regularizing Prediction for Semantic Segmentation. Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, Tao Mei
2020	Transform and Tell: Entity-Aware News Image Captioning. Alasdair Tran, Alexander Patrick Mathews, Lexing Xie
2020	Transformation GAN for Unsupervised Image Synthesis and Representation Learning. Jiayu Wang, Wengang Zhou, Guo-Jun Qi, Zhongqian Fu, Qi Tian, Houqiang Li
2020	TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model. Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu
2020	Two Causal Principles for Improving Visual Dialog. Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang
2020	Two-Shot Spatially-Varying BRDF and Shape Estimation. Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz
2020	Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer. Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci
2020	UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes
2020	UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation. Lei Zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo, Haibo Chen, Wei Xing, Dongming Lu
2020	UNAS: Differentiable Architecture Search Meets Reinforcement Learning. Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz
2020	Unbiased Scene Graph Generation From Biased Training. Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
2020	Uncertainty Based Camera Model Selection. Michal Polic, Stanislav Steidl, Cenek Albl, Zuzana Kukelova, Tomás Pajdla
2020	Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End. Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Michael Persson
2020	Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction. Gun-Hee Lee, Seong-Whan Lee
2020	Uncertainty-Aware Score Distribution Learning for Action Quality Assessment. Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou
2020	Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations. Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon
2020	Understanding Human Hands in Contact at Internet Scale. Dandan Shan, Jiaqi Geng, Michelle Shu, David F. Fouhey
2020	Understanding Road Layout From Videos as a Whole. Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker
2020	UniPose: Unified Human Pose Estimation in Single Images and Videos. Bruno Artacho, Andreas E. Savakis
2020	Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations. Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai
2020	Unifying Training and Inference for Panoptic Segmentation. Qizhu Li, Xiaojuan Qi, Philip H. S. Torr
2020	Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings. Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger
2020	Unity Style Transfer for Person Re-Identification. Chong Liu, Xiaojun Chang, Yi-Dong Shen
2020	Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
2020	Universal Physical Camouflage Attacks on Object Detectors. Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L. Yuille, Changqing Zou, Ning Liu
2020	Universal Source-Free Domain Adaptation. Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu
2020	Universal Weighting Metric Learning for Cross-Modal Matching. Jiwei Wei, Xing Xu, Yang Yang, Yanli Ji, Zheng Wang, Heng Tao Shen
2020	Unpaired Image Super-Resolution Using Pseudo-Supervision. Shunta Maeda
2020	Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping. Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul L. Rosin
2020	Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution. Lei Zhang, Jiangtao Nie, Wei Wei, Yanning Zhang, Shengcai Liao, Ling Shao
2020	Unsupervised Deep Shape Descriptor With Point Distribution Learning. Yi Shi, Mengchen Xu, Shuaihang Yuan, Yi Fang
2020	Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization. Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen
2020	Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. Hui Tang, Ke Chen, Kui Jia
2020	Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai
2020	Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision. Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon
2020	Unsupervised Learning From Video With Deep Neural Embeddings. Chengxu Zhuang, Tianwei She, Alex Andonian, Max Sobol Mark, Daniel Yamins
2020	Unsupervised Learning for Intrinsic Image Decomposition From a Single Image. Yunfei Liu, Yu Li, Shaodi You, Feng Lu
2020	Unsupervised Learning of Intrinsic Structural Representation Points. Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang
2020	Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild. Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
2020	Unsupervised Magnification of Posture Deviations Across Subjects. Michael Dorkenwald, Uta Büchler, Björn Ommer
2020	Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem. Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
2020	Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. Moab Arar, Yiftach Ginger, Dov Danon, Amit H. Bermano, Daniel Cohen-Or
2020	Unsupervised Person Re-Identification via Multi-Label Classification. Dongkai Wang, Shiliang Zhang
2020	Unsupervised Person Re-Identification via Softened Similarity Learning. Yutian Lin, Lingxi Xie, Yu Wu, Chenggang Yan, Qi Tian
2020	Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang
2020	Unsupervised Representation Learning for Gaze Estimation. Yu Yu, Jean-Marc Odobez
2020	Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion. Gengshan Yang, Deva Ramanan
2020	Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta
2020	VIBE: Video Inference for Human Body Pose and Shape Estimation. Muhammed Kocabas, Nikos Athanasiou, Michael J. Black
2020	VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals. Zhixiang Min, Yiding Yang, Enrique Dunn
2020	VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines. Rui Wang, David Geraghty, Kevin Matzen, Richard Szeliski, Jan-Michael Frahm
2020	VQA With No Questions-Answers Training. Ben Zion Vatashsky, Shimon Ullman
2020	VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions. Oytun Ulutan, A. S. M. Iftekhar, B. S. Manjunath
2020	Variational Context-Deformable ConvNets for Indoor Scene Parsing. Zhitong Xiong, Yuan Yuan, Nianhui Guo, Qi Wang
2020	Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring. Yuesong Nan, Yuhui Quan, Hui Ji
2020	Varicolored Image De-Hazing. Akshay Dudhane, Kuldeep Marotirao Biradar, Prashant W. Patil, Praful Hambarde, Subrahmanyam Murala
2020	Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition. Chi Nhan Duong, Thanh-Dat Truong, Khoa Luu, Kha Gia Quach, Hung Bui, Kaushik Roy
2020	VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction. Yong-Qiang Tan, Shanghua Gao, Xuan-Yi Li, Ming-Ming Cheng, Bo Ren
2020	VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation. Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid
2020	ViBE: Dressing for Diverse Body Shapes. Wei-Lin Hsiao, Kristen Grauman
2020	Video Instance Segmentation Tracking With a Modified VAE Architecture. Chung-Ching Lin, Ying Hung, Rogério Feris, Linglin He
2020	Video Modeling With Correlation Networks. Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
2020	Video Object Grounding Using Semantic Roles in Language Description. Arka Sadhu, Kan Chen, Ram Nevatia
2020	Video Panoptic Segmentation. Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
2020	Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning. Yuan Yao, Chang Liu, Dezhao Luo, Yu Zhou, Qixiang Ye
2020	Video Super-Resolution With Temporal Group Attention. Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian
2020	Video to Events: Recycling Video Datasets for Event Cameras. Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2020	View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis. Xin Wei, Ruixuan Yu, Jian Sun
2020	ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation. Yawar Siddiqui, Julien Valentin, Matthias Nießner
2020	Violin: A Large-Scale Dataset for Video-and-Language Inference. Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
2020	Vision-Dialog Navigation by Exploring Cross-Modal Memory. Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang
2020	Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks. Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang
2020	Visual Chirality. Zhiqiu Lin, Jin Sun, Abe Davis, Noah Snavely
2020	Visual Commonsense R-CNN. Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun
2020	Visual Grounding in Video for Unsupervised Word Translation. Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
2020	Visual Reaction: Learning to Play Catch With Your Drone. Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi
2020	Visual-Semantic Matching by Exploring High-Order Attention and Distraction. Yongzhi Li, Duo Zhang, Yadong Mu
2020	Visual-Textual Capsule Routing for Text-Based Video Segmentation. Bruce McIntosh, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah
2020	Visually Imbalanced Stereo Matching. Yicun Liu, Jimmy S. Ren, Jiawei Zhang, Jianbo Liu, Mude Lin
2020	WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning. Liheng Zhang, Guo-Jun Qi
2020	Warp to the Future: Joint Forecasting of Features and Feature Motion. Josip Saric, Marin Orsic, Tonci Antunovic, Sacha Vrazic, Sinisa Segvic
2020	Warping Residual Based Image Stitching for Large Parallax. Kyu-Yul Lee, Jae-Young Sim
2020	Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions. Ricard Durall, Margret Keuper, Janis Keuper
2020	Wavelet Integrated CNNs for Noise-Robust Image Classification. Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai
2020	Wavelet Synthesis Net for Disparity Estimation to Synthesize DSLR Calibre Bokeh Effect on Smartphones. Chenchi Luo, Yingmao Li, Kaimo Lin, George Chen, Seok-Jun Lee, Jihwan Choi, Youngjun Francis Yoo, Michael O. Polley
2020	WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching. Menglong Yang, Fangrui Wu, Wei Li
2020	Weakly Supervised Discriminative Feature Learning With State Information for Person Identification. Hong-Xing Yu, Wei-Shi Zheng
2020	Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning. Zhihui Wang, Shijie Wang, Shuhui Yang, Haojie Li, Jianjun Li, Zezhou Li
2020	Weakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels. Xun Xu, Gim Hee Lee
2020	Weakly Supervised Visual Semantic Parsing. Alireza Zareian, Svebor Karaman, Shih-Fu Chang
2020	Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild. Umar Iqbal, Pavlo Molchanov, Jan Kautz
2020	Weakly-Supervised Action Localization by Generative Attention Modeling. Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang
2020	Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects. Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
2020	Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild. Dominik Kulon, Riza Alp Güler, Iasonas Kokkinos, Michael M. Bronstein, Stefanos Zafeiriou
2020	Weakly-Supervised Salient Object Detection via Scribble Annotations. Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu, Yuchao Dai
2020	Weakly-Supervised Semantic Segmentation via Sub-Category Exploration. Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang
2020	Webly Supervised Knowledge Embedding Model for Visual Reasoning. Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang
2020	What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation. Jiahua Dong, Yang Cong, Gan Sun, Bineng Zhong, Xiaowei Xu
2020	What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu
2020	What Does Plate Glass Reveal About Camera Calibration? Qian Zheng, Jinnan Chen, Zhan Lu, Boxin Shi, Xudong Jiang, Kim-Hui Yap, Ling-Yu Duan, Alex C. Kot
2020	What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients. Alvin Chan, Yi Tay, Yew-Soon Ong
2020	What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images. Xing Xu, Jiefu Chen, Jinhui Xiao, Lianli Gao, Fumin Shen, Heng Tao Shen
2020	What Makes Training Multi-Modal Classification Networks Hard? Weiyao Wang, Du Tran, Matt Feiszli
2020	What You See is What You Get: Exploiting Visibility for 3D Object Detection. Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan
2020	What's Hidden in a Randomly Weighted Neural Network? Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari
2020	When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks. Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, Dahua Lin
2020	When to Use Convolutional Neural Networks for Inverse Problems. Nathaniel Chodosh, Simon Lucey
2020	When2com: Multi-Agent Perception via Communication Graph Grouping. Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira
2020	Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching. Yujiao Shi, Xin Yu, Dylan Campbell, Hongdong Li
2020	Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints. Michael Strecke, Joerg Stueckler
2020	Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences. Zhu Zhang, Zhou Zhao, Yang Zhao, Qi Wang, Huasheng Liu, Lianli Gao
2020	Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection. Yining Lang, Yuan He, Fan Yang, Jianfeng Dong, Hui Xue
2020	Why Having 10, 000 Parameters in Your Camera Model Is Better Than Twelve. Thomas Schöps, Viktor Larsson, Marc Pollefeys, Torsten Sattler
2020	Wish You Were Here: Context-Aware Human Generation. Oran Gafni, Lior Wolf
2020	X-Linear Attention Networks for Image Captioning. Yingwei Pan, Ting Yao, Yehao Li, Tao Mei
2020	X3D: Expanding Architectures for Efficient Video Recognition. Christoph Feichtenhofer
2020	You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions. Evonne Ng, Donglai Xiang, Hanbyul Joo, Kristen Grauman
2020	Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis
2020	ZSTAD: Zero-Shot Temporal Activity Detection. Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann
2020	Zero-Assignment Constraint for Graph Matching With Outliers. Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
2020	Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement. Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, Runmin Cong
2020	ZeroQ: A Novel Zero Shot Quantization Framework. Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer
2020	Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution. Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu
2020	gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors. Victor Fragoso, Joseph DeGol, Gang Hua
2020	iTAML: An Incremental Task-Agnostic Meta-learning Approach. Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
2020	nuScenes: A Multimodal Dataset for Autonomous Driving. Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom
2020	xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez