| 2019 | "Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. Yossi Gandelsman, Assaf Shocher, Michal Irani |
| 2019 | 2.5D Visual Sound. Ruohan Gao, Kristen Grauman |
| 2019 | 3D Appearance Super-Resolution With Deep Learning. Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool |
| 2019 | 3D Guided Fine-Grained Face Manipulation. Zhenglin Geng, Chen Cao, Sergey Tulyakov |
| 2019 | 3D Hand Shape and Pose Estimation From a Single RGB Image. Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan |
| 2019 | 3D Hand Shape and Pose From Images in the Wild. Adnane Boukhayma, Rodrigo Andrade de Bem, Philip H. S. Torr |
| 2019 | 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training. Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli |
| 2019 | 3D Local Features for Direct Pairwise Registration. Haowen Deng, Tolga Birdal, Slobodan Ilic |
| 2019 | 3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis. Xiaojuan Qi, Zhengzhe Liu, Qifeng Chen, Jiaya Jia |
| 2019 | 3D Point Capsule Networks. Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari |
| 2019 | 3D Shape Reconstruction From Images in the Frequency Domain. Weichao Shen, Yunde Jia, Yuwei Wu |
| 2019 | 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. Ji Hou, Angela Dai, Matthias Nießner |
| 2019 | 3DN: 3D Deformation Network. Weiyue Wang, Duygu Ceylan, Radomír Mech, Ulrich Neumann |
| 2019 | 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks. Christopher B. Choy, JunYoung Gwak, Silvio Savarese |
| 2019 | A Bayesian Perspective on the Deep Image Prior. Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon |
| 2019 | A Compact Embedding for Facial Expression Similarity. Raviteja Vemulapalli, Aseem Agarwala |
| 2019 | A Content Transformation Block for Image Style Transfer. Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer |
| 2019 | A Convex Relaxation for Multi-Graph Matching. Paul Swoboda, Dagmar Kainmüller, Ashkan Mokarian, Christian Theobalt, Florian Bernard |
| 2019 | A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. Måns Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler, Fredrik Kahl |
| 2019 | A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing. Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li |
| 2019 | A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem. Ganzhao Yuan, Li Shen, Wei-Shi Zheng |
| 2019 | A Flexible Convolutional Solver for Fast Style Transfers. Gilles Puy, Patrick Pérez |
| 2019 | A General and Adaptive Robust Loss Function. Jonathan T. Barron |
| 2019 | A Generative Adversarial Density Estimator. M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu |
| 2019 | A Generative Appearance Model for End-To-End Video Object Segmentation. Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg |
| 2019 | A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh |
| 2019 | A Late Fusion CNN for Digital Matting. Yunke Zhang, Lixue Gong, Lubin Fan, Peiran Ren, Qixing Huang, Hujun Bao, Weiwei Xu |
| 2019 | A Local Block Coordinate Descent Algorithm for the CSC Model. Ev Zisselman, Jeremias Sulam, Michael Elad |
| 2019 | A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks. Yinghao Xu, Xin Dong, Yudian Li, Hao Su |
| 2019 | A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision. Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding |
| 2019 | A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition. Xuan Son Nguyen, Luc Brun, Olivier Lezoray, Sébastien Bougleux |
| 2019 | A Neural Temporal Model for Human Motion Prediction. Anand Gopalakrishnan, Ankur Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II |
| 2019 | A Neurobiological Evaluation Metric for Neural Network Model Search. Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer |
| 2019 | A Parametric Top-View Representation of Complex Road Scenes. Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker |
| 2019 | A Perceptual Prediction Framework for Self Supervised Event Segmentation. Sathyanarayanan N. Aakur, Sudeep Sarkar |
| 2019 | A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images. Yide Zhang, Yinhao Zhu, Evan L. Nichols, Qingfei Wang, Siyuan Zhang, Cody J. Smith, Scott S. Howard |
| 2019 | A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu |
| 2019 | A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures. Yiqun Wang, Jianwei Guo, Dong-Ming Yan, Kai Wang, Xiaopeng Zhang |
| 2019 | A Simple Baseline for Audio-Visual Scene-Aware Dialog. Idan Schwartz, Alexander G. Schwing, Tamir Hazan |
| 2019 | A Simple Pooling-Based Design for Real-Time Salient Object Detection. Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang |
| 2019 | A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images. Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong |
| 2019 | A Structured Model for Action Detection. Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid |
| 2019 | A Style-Based Generator Architecture for Generative Adversarial Networks. Tero Karras, Samuli Laine, Timo Aila |
| 2019 | A Sufficient Condition for Convergences of Adam and RMSProp. Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu |
| 2019 | A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro |
| 2019 | A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction. Shumian Xin, Sotiris Nousias, Kiriakos N. Kutulakos, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan, Ioannis Gkioulekas |
| 2019 | A Variational Auto-Encoder Model for Stochastic Point Processes. Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori |
| 2019 | A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring. Liuge Yang, Hui Ji |
| 2019 | A Variational Pan-Sharpening With Local Gradient Constraints. Xueyang Fu, Zihuang Lin, Yue Huang, Xinghao Ding |
| 2019 | A-CNN: Annularly Convolutional Neural Networks on Point Clouds. Artem Komarichev, Zichun Zhong, Jing Hua |
| 2019 | AANet: Attribute Attention Network for Person Re-Identifications. Chiat-Pin Tay, Sharmili Roy, Kim-Hui Yap |
| 2019 | ABC: A Big CAD Model Dataset for Geometric Deep Learning. Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo |
| 2019 | ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding. Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu |
| 2019 | ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez |
| 2019 | AE2-Nets: Autoencoder in Autoencoder Networks. Changqing Zhang, Yeqing Liu, Huazhu Fu |
| 2019 | AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data. Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo |
| 2019 | AIRD: Adversarial Learning Framework for Image Repurposing Detection. Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan |
| 2019 | AOGNets: Compositional Grammatical Architectures for Deep Learning. Xilai Li, Xi Song, Tianfu Wu |
| 2019 | APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs. Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul L. Rosin |
| 2019 | ATOM: Accurate Tracking by Overlap Maximization. Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg |
| 2019 | Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video. Samvit Jain, Xin Wang, Joseph E. Gonzalez |
| 2019 | Accelerating Convolutional Neural Networks via Activation Map Compression. Georgios Georgiadis |
| 2019 | Acoustic Non-Line-Of-Sight Imaging. David B. Lindell, Gordon Wetzstein, Vladlen Koltun |
| 2019 | Action Recognition From Single Timestamp Supervision in Untrimmed Videos. Davide Moltisanti, Sanja Fidler, Dima Damen |
| 2019 | Action4D: Online Action Recognition in the Crowd and Clutter. Quanzeng You, Hao Jiang |
| 2019 | Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition. Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian |
| 2019 | Actively Seeking and Learning From Live Data. Damien Teney, Anton van den Hengel |
| 2019 | Activity Driven Weakly Supervised Object Detection. Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan |
| 2019 | Actor-Critic Instance Segmentation. Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth |
| 2019 | AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations. Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li |
| 2019 | AdaFrame: Adaptive Frame Selection for Fast Video Recognition. Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis |
| 2019 | AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs. Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci |
| 2019 | Adapting Object Detectors via Selective Cross-Domain Alignment. Xinge Zhu, Jiangmiao Pang, Ceyuan Yang, Jianping Shi, Dahua Lin |
| 2019 | Adaptive Confidence Smoothing for Generalized Zero-Shot Learning. Yuval Atzmon, Gal Chechik |
| 2019 | Adaptive NMS: Refining Pedestrian Detection in a Crowd. Songtao Liu, Di Huang, Yunhong Wang |
| 2019 | Adaptive Pyramid Context Network for Semantic Segmentation. Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao |
| 2019 | Adaptive Transfer Network for Cross-Domain Person Re-Identification. Jiawei Liu, Zheng-Jun Zha, Di Chen, Richang Hong, Meng Wang |
| 2019 | Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology. Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise |
| 2019 | AdaptiveFace: Adaptive Margin and Sampling for Face Recognition. Hao Liu, Xiangyu Zhu, Zhen Lei, Stan Z. Li |
| 2019 | Adaptively Connected Neural Networks. Guangrun Wang, Keze Wang, Liang Lin |
| 2019 | Additive Adversarial Learning for Unbiased Authentication. Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu |
| 2019 | Adversarial Attacks Beyond the Image Space. Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille |
| 2019 | Adversarial Defense Through Network Profiling Based Path Extraction. Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu |
| 2019 | Adversarial Defense by Stratified Convolutional Sparse Coding. Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su |
| 2019 | Adversarial Inference for Multi-Sentence Video Description. Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach |
| 2019 | Adversarial Semantic Alignment for Improved Image Captions. Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu |
| 2019 | Adversarial Structure Matching for Structured Prediction Tasks. Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu |
| 2019 | Aggregation Cross-Entropy for Sequence Recognition. Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie |
| 2019 | All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation. Wei-Lun Chang, Hui-Po Wang, Wen-Hsiao Peng, Wei-Chen Chiu |
| 2019 | All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification. Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu |
| 2019 | All-Weather Deep Outdoor Lighting Estimation. Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy, Sunil Hadap, Jonathan Eisenmann, Jean-François Lalonde |
| 2019 | Amodal Instance Segmentation With KINS Dataset. Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia |
| 2019 | An Alternative Deep Feature Approach to Line Level Keyword Spotting. George Retsinas, Georgios Louloudis, Nikolaos Stamatopoulos, Giorgos Sfikas, Basilis Gatos |
| 2019 | An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition. Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan |
| 2019 | An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM. Patrick Geneva, James Maley, Guoquan Huang |
| 2019 | An End-To-End Network for Generating Social Relationship Graphs. Arushi Goel, Keng Teck Ma, Cheston Tan |
| 2019 | An End-To-End Network for Panoptic Segmentation. Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang |
| 2019 | An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection. Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao |
| 2019 | Analysis of Feature Visibility in Non-Line-Of-Sight Measurements. Xiaochun Liu, Sebastian Bauer, Andreas Velten |
| 2019 | Animating Arbitrary Objects via Deep Motion Transfer. Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe |
| 2019 | Answer Them All! Toward Universal Visual Question Answering Models. Robik Shrestha, Kushal Kafle, Christopher Kanan |
| 2019 | ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving. Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang |
| 2019 | Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation. Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim |
| 2019 | Arbitrary Style Transfer With Style-Attentional Networks. Dae Young Park, Kwang Hee Lee |
| 2019 | ArcFace: Additive Angular Margin Loss for Deep Face Recognition. Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou |
| 2019 | Argoverse: 3D Tracking and Forecasting With Rich Maps. Ming-fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays |
| 2019 | Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation. Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara |
| 2019 | Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering. Jari Korhonen |
| 2019 | Assessment of Faster R-CNN in Man-Machine Collaborative Search. Arturo Deza, Amit Surana, Miguel P. Eckstein |
| 2019 | Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak Nadjar Araabi |
| 2019 | Associatively Segmenting Instances and Semantics in Point Clouds. Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia |
| 2019 | Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning. Mahdi S. Hosseini, Lyndon Chan, Gabriel Tse, Michael Tang, Jun Deng, Sajad Norouzi, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos |
| 2019 | Attending to Discriminative Certainty for Domain Adaptation. Vinod Kumar Kurmi, Shanu Kumar, Vinay P. Namboodiri |
| 2019 | Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model. Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu |
| 2019 | Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2019 | Attention-Aware Multi-Stroke Style Transfer. Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang |
| 2019 | Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions. Masanori Suganuma, Xing Liu, Takayuki Okatani |
| 2019 | Attention-Based Dropout Layer for Weakly Supervised Object Localization. Junsuk Choe, Hyunjung Shim |
| 2019 | Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang |
| 2019 | Attention-Guided Unified Network for Panoptic Segmentation. Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang |
| 2019 | Attentive Feedback Network for Boundary-Aware Salient Object Detection. Mengyang Feng, Huchuan Lu, Errui Ding |
| 2019 | Attentive Region Embedding Network for Zero-Shot Learning. Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao |
| 2019 | Attentive Relational Networks for Mapping Images to Scene Graphs. Mengshi Qi, Weijian Li, Zhengyuan Yang, Yunhong Wang, Jiebo Luo |
| 2019 | Attentive Single-Tasking of Multiple Tasks. Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos |
| 2019 | Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks. Yunfan Liu, Qi Li, Zhenan Sun |
| 2019 | Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification. Yiru Zhao, Xu Shen, Zhongming Jin, Hongtao Lu, Xian-Sheng Hua |
| 2019 | Audio Visual Scene-Aware Dialog. Huda AlAmri, Vincent Cartillier, Abhishek Das, Jue Wang, Anoop Cherian, Irfan Essa, Dhruv Batra, Tim K. Marks, Chiori Hori, Peter Anderson, Stefan Lee, Devi Parikh |
| 2019 | Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei |
| 2019 | Auto-Encoding Scene Graphs for Image Captioning. Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai |
| 2019 | AutoAugment: Learning Augmentation Strategies From Data. Ekin D. Cubuk, Barret Zoph, Dandelion Mané, Vijay Vasudevan, Quoc V. Le |
| 2019 | Automatic Adaptation of Object Detectors to New Domains Using Self-Training. Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller |
| 2019 | Automatic Face Aging in Videos via Deep Reinforcement Learning. Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Nghia Nguyen, Eric Patterson, Tien D. Bui, Ngan Le |
| 2019 | BAD SLAM: Bundle Adjusted Direct RGB-D SLAM. Thomas Schöps, Torsten Sattler, Marc Pollefeys |
| 2019 | BASNet: Boundary-Aware Salient Object Detection. Xuebin Qin, Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan, Martin Jägersand |
| 2019 | Bag of Tricks for Image Classification with Convolutional Neural Networks. Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li |
| 2019 | Balanced Self-Paced Learning for Generative Adversarial Clustering Network. Kamran Ghasedi, Xiaoqian Wang, Cheng Deng, Heng Huang |
| 2019 | Barrage of Random Transforms for Adversarially Robust Defense. Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean |
| 2019 | Bayesian Hierarchical Dynamic Model for Human Action Recognition. Rui Zhao, Wanru Xu, Hui Su, Qiang Ji |
| 2019 | BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network. Hung-Jen Chen, Ka-Ming Hui, Szu-Yu Wang, Li-Wu Tsao, Hong-Han Shuai, Wen-Huang Cheng |
| 2019 | Beyond Gradient Descent for Regularized Segmentation Losses. Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov |
| 2019 | Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry. Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha |
| 2019 | Beyond Volumetric Albedo - A Surface Optimization Framework for Non-Line-Of-Sight Imaging. Chia-Yin Tsai, Aswin C. Sankaranarayanan, Ioannis Gkioulekas |
| 2019 | Bi-Directional Cascade Network for Perceptual Edge Detection. Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang |
| 2019 | Bidirectional Learning for Domain Adaptation of Semantic Segmentation. Yunsheng Li, Lu Yuan, Nuno Vasconcelos |
| 2019 | Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction. Alex Wong, Stefano Soatto |
| 2019 | Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu, Xin Dong, Hao Su |
| 2019 | Biologically-Constrained Graphs for Global Connectomics Reconstruction. Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister |
| 2019 | Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin |
| 2019 | Blind Geometric Distortion Correction on Images Through Deep Learning. Xiaoyu Li, Bo Zhang, Pedro V. Sander, Jing Liao |
| 2019 | Blind Image Deblurring With Local Maximum Gradient Prior. Liang Chen, Faming Fang, Tingting Wang, Guixu Zhang |
| 2019 | Blind Super-Resolution With Iterative Kernel Correction. Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong |
| 2019 | Blind Visual Motif Removal From a Single Image. Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or |
| 2019 | Boosting Local Shape Matching for Dense 3D Face Correspondence. Zhenfeng Fan, Xiyuan Hu, Chen Chen, Silong Peng |
| 2019 | Bottom-Up Object Detection by Grouping Extreme and Center Points. Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl |
| 2019 | Bounding Box Regression With Uncertainty for Accurate Object Detection. Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang |
| 2019 | Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation. Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang |
| 2019 | BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian |
| 2019 | Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence. Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu |
| 2019 | Bringing Alive Blurred Moments. Kuldeep Purohit, Anshul B. Shah, A. N. Rajagopalan |
| 2019 | Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera. Liyuan Pan, Cedric Scheerlinck, Xin Yu, Richard Hartley, Miaomiao Liu, Yuchao Dai |
| 2019 | BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames. Brent A. Griffin, Jason J. Corso |
| 2019 | Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling. Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao |
| 2019 | Building Efficient Deep Neural Networks With Unitary Group Convolutions. Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang |
| 2019 | C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye |
| 2019 | C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition. Poojan Oza, Vishal M. Patel |
| 2019 | C3AE: Exploring the Limits of Compact Model for Age Estimation. Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu |
| 2019 | CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera |
| 2019 | CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning. Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen |
| 2019 | CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions. Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille |
| 2019 | COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis. Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou |
| 2019 | CRAVES: Controlling Robotic Arm With a Vision-Based Economic System. Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille |
| 2019 | Camera Lens Super-Resolution. Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu |
| 2019 | CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection. Lu Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu, You He |
| 2019 | Capture, Learning, and Synthesis of 3D Speaking Styles. Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black |
| 2019 | Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms. Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang |
| 2019 | Cascaded Partial Decoder for Fast and Accurate Salient Object Detection. Zhe Wu, Li Su, Qingming Huang |
| 2019 | Cascaded Projection: End-To-End Network Compression and Acceleration. Breton L. Minnehan, Andreas E. Savakis |
| 2019 | Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks. Chih-Hui Ho, Brandon Leung, Erik Sandström, Yen Chang, Nuno Vasconcelos |
| 2019 | Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light. Yu Zhang, Daniel L. Lau, Ying Yu |
| 2019 | Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han |
| 2019 | ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha |
| 2019 | Character Region Awareness for Text Detection. Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee |
| 2019 | Characterizing and Avoiding Negative Transfer. Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime G. Carbonell |
| 2019 | Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation. Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann |
| 2019 | CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, Jenq-Neng Hwang |
| 2019 | Class-Balanced Loss Based on Effective Number of Samples. Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie |
| 2019 | Classification-Reconstruction Learning for Open-Set Recognition. Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura |
| 2019 | ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis. Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin |
| 2019 | Co-Occurrence Neural Network. Irina Shevlev, Shai Avidan |
| 2019 | Co-Occurrent Features in Semantic Segmentation. Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie |
| 2019 | Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing. Kaihua Zhang, Tengpeng Li, Bo Liu, Qingshan Liu |
| 2019 | CollaGAN: Collaborative GAN for Missing Image Data Imputation. Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye |
| 2019 | Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian |
| 2019 | Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao |
| 2019 | Collaborative Spatiotemporal Feature Learning for Video Action Recognition. Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu |
| 2019 | Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks. Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo |
| 2019 | ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples. Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh |
| 2019 | Combinatorial Persistency Criteria for Multicut and Max-Cut. Jan-Hendrik Lange, Bjoern Andres, Paul Swoboda |
| 2019 | Combining 3D Morphable Models: A Large Scale Face-And-Head Model. Stylianos Ploumpis, Haoyang Wang, Nick E. Pears, William A. P. Smith, Stefanos Zafeiriou |
| 2019 | Compact Feature Learning for Multi-Domain Image Classification. Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu |
| 2019 | Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black |
| 2019 | Complete the Look: Scene-Based Complementary Product Recommendation. Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley |
| 2019 | Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization. Daochang Liu, Tingting Jiang, Yizhou Wang |
| 2019 | Composing Text and Image for Image Retrieval - an Empirical Odyssey. Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays |
| 2019 | Compressing Convolutional Neural Networks via Factorized Convolutional Filters. Tuanhui Li, Baoyuan Wu, Yujiu Yang, Yanbo Fan, Yong Zhang, Wei Liu |
| 2019 | Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification. Jin Li, Xuguang Lan, Yang Liu, Le Wang, Nanning Zheng |
| 2019 | Conditional Adversarial Generative Flow for Controllable Image Synthesis. Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li |
| 2019 | Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction. Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu |
| 2019 | Connecting Touch and Vision via Cross-Modal Prediction. Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba |
| 2019 | Connecting the Dots: Learning Representations for Active Monocular Depth Estimation. Gernot Riegler, Yiyi Liao, Simon Donné, Vladlen Koltun, Andreas Geiger |
| 2019 | Constrained Generative Adversarial Networks for Interactive Image Generation. Eric Heim |
| 2019 | ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging. Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays |
| 2019 | Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels. Pawel Korus, Nasir D. Memon |
| 2019 | Content-Aware Multi-Level Guidance for Interactive Instance Segmentation. Soumajit Majumder, Angela Yao |
| 2019 | Context and Attribute Grounded Dense Captioning. Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao |
| 2019 | Context-Aware Crowd Counting. Weizhe Liu, Mathieu Salzmann, Pascal Fua |
| 2019 | Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation. Feigege Wang, Yue Gu, Wenxi Liu, Yuanlong Yu, Shengfeng He, Jia Pan |
| 2019 | Context-Aware Visual Compatibility Prediction. Guillem Cucurull, Perouz Taslakian, David Vázquez |
| 2019 | Context-Reinforced Semantic Segmentation. Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha, Wenjun Zeng |
| 2019 | ContextDesc: Local Descriptor Augmentation With Cross-Modality Context. Zixin Luo, Tianwei Shen, Lei Zhou, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan |
| 2019 | Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection. Jiaxing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang |
| 2019 | Contrastive Adaptation Network for Unsupervised Domain Adaptation. Guoliang Kang, Lu Jiang, Yi Yang, Alexander G. Hauptmann |
| 2019 | Convolutional Mesh Regression for Single-Image Human Shape Reconstruction. Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis |
| 2019 | Convolutional Neural Networks Can Be Deceived by Visual Illusions. Alexander Gómez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío |
| 2019 | Convolutional Recurrent Network for Road Boundary Extraction. Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun |
| 2019 | Convolutional Relational Machine for Group Activity Recognition. Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi, Alexandre Alahi |
| 2019 | Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation. Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor S. Lempitsky |
| 2019 | Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry. Matthew Trager, Martial Hebert, Jean Ponce |
| 2019 | CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency. Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang |
| 2019 | Creative Flow+ Dataset. Maria Shugrina, Ziheng Liang, Amlan Kar, Jiaman Li, Angad Singh, Karan Singh, Sanja Fidler |
| 2019 | Cross Domain Model Compression by Structurally Weight Sharing. Shangqian Gao, Cheng Deng, Heng Huang |
| 2019 | Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface. Shiwei Li, Zixin Luo, Mingmin Zhen, Yao Yao, Tianwei Shen, Tian Fang, Long Quan |
| 2019 | Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics. Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Nir Shavit |
| 2019 | Cross-Modal Relationship Inference for Grounding Referring Expressions. Sibei Yang, Guanbin Li, Yizhou Yu |
| 2019 | Cross-Modal Self-Attention Network for Referring Image Segmentation. Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang |
| 2019 | Cross-Modality Personalization for Retrieval. Nils Murrugarra-Llerena, Adriana Kovashka |
| 2019 | Cross-Task Weakly Supervised Learning From Instructional Videos. Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David F. Fouhey, Ivan Laptev, Josef Sivic |
| 2019 | CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation. Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma |
| 2019 | Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao |
| 2019 | CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark. Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Haoshu Fang, Cewu Lu |
| 2019 | Curls & Whey: Boosting Black-Box Adversarial Attacks. Yucheng Shi, Siyu Wang, Yahong Han |
| 2019 | Customizable Architecture Search for Semantic Segmentation. Yiheng Zhang, Zhaofan Qiu, Jingen Liu, Ting Yao, Dong Liu, Tao Mei |
| 2019 | Cycle-Consistency for Robust Visual Question Answering. Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh |
| 2019 | Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation. Yunhang Shen, Rongrong Ji, Yan Wang, Yongjian Wu, Liujuan Cao |
| 2019 | D2-Net: A Trainable CNN for Joint Description and Detection of Local Features. Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler |
| 2019 | D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles |
| 2019 | DARNet: Deep Active Ray Network for Building Segmentation. Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun |
| 2019 | DAVANet: Stereo Deblurring With View Aggregation. Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy S. Ren |
| 2019 | DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition. Toby Perrett, Dima Damen |
| 2019 | DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation. Hanchao Li, Pengfei Xiong, Haoqiang Fan, Jian Sun |
| 2019 | DLOW: Domain Flow for Adaptation and Generalization. Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool |
| 2019 | DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis. Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang |
| 2019 | DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan |
| 2019 | DSFD: Dual Shot Face Detector. Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang |
| 2019 | DVC: An End-To-End Deep Video Compression Framework. Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao |
| 2019 | Dance With Flow: Two-In-One Stream Action Detection. Jiaojiao Zhao, Cees G. M. Snoek |
| 2019 | Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca |
| 2019 | Data Representation and Learning With Graph Diffusion-Embedding Networks. Bo Jiang, Doudou Lin, Jin Tang, Bin Luo |
| 2019 | Data-Driven Neuron Allocation for Scale Aggregation Networks. Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang |
| 2019 | DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features. Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Y. Zomaya |
| 2019 | Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation. Zhi Tian, Tong He, Chunhua Shen, Youliang Yan |
| 2019 | Decorrelated Adversarial Learning for Age-Invariant Face Recognition. Hao Wang, Dihong Gong, Zhifeng Li, Wei Liu |
| 2019 | Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger |
| 2019 | Deep Asymmetric Metric Learning via Rich Relationship Mining. Xinyi Xu, Yanhua Yang, Cheng Deng, Feng Zheng |
| 2019 | Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence. Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon |
| 2019 | Deep ChArUco: Dark ChArUco Marker Pose Estimation. Danying Hu, Daniel DeTone, Tomasz Malisiewicz |
| 2019 | Deep Defocus Map Estimation Using Domain Adaptation. Junyong Lee, Sungkil Lee, Sunghyun Cho, Seungyong Lee |
| 2019 | Deep Dual Relation Modeling for Egocentric Interaction Recognition. Haoxin Li, Yijun Cai, Wei-Shi Zheng |
| 2019 | Deep Embedding Learning With Discriminative Sampling Policy. Yueqi Duan, Lei Chen, Jiwen Lu, Jie Zhou |
| 2019 | Deep Exemplar-Based Video Colorization. Bo Zhang, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, Dong Chen |
| 2019 | Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou |
| 2019 | Deep Flow-Guided Video Inpainting. Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy |
| 2019 | Deep Geometric Prior for Surface Reconstruction. Francis Williams, Teseo Schneider, Cláudio T. Silva, Denis Zorin, Joan Bruna, Daniele Panozzo |
| 2019 | Deep Global Generalized Gaussian Networks. Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo |
| 2019 | Deep High-Resolution Representation Learning for Human Pose Estimation. Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang |
| 2019 | Deep Incremental Hashing Network for Efficient Image Retrieval. Dayan Wu, Qi Dai, Jing Liu, Bo Li, Weiping Wang |
| 2019 | Deep Metric Learning Beyond Binary Supervision. SungYeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak |
| 2019 | Deep Metric Learning to Rank. Fatih Çakir, Kun He, Xide Xia, Brian Kulis, Stan Sclaroff |
| 2019 | Deep Modular Co-Attention Networks for Visual Question Answering. Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, Qi Tian |
| 2019 | Deep Multimodal Clustering for Unsupervised Audiovisual Learning. Di Hu, Feiping Nie, Xuelong Li |
| 2019 | Deep Network Interpolation for Continuous Imagery Effect Transition. Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy |
| 2019 | Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels. Kai Zhang, Wangmeng Zuo, Lei Zhang |
| 2019 | Deep RNN Framework for Visual Sequential Applications. Bo Pang, Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu |
| 2019 | Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image. Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui |
| 2019 | Deep Rigid Instance Scene Flow. Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun |
| 2019 | Deep Robust Subjective Visual Property Prediction in Crowdsourcing. Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao |
| 2019 | Deep Single Image Camera Calibration With Radial Distortion. Manuel Lopez, Roger Marí, Pau Gargallo, Yubin Kuang, Javier González Jiménez, Gloria Haro |
| 2019 | Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing. Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie, Ling Shao |
| 2019 | Deep Sky Modeling for Single Image Outdoor Lighting Estimation. Yannick Hold-Geoffroy, Akshaya Athawale, Jean-François Lalonde |
| 2019 | Deep Spectral Clustering Using Dual Autoencoder Network. Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu |
| 2019 | Deep Spherical Quantization for Image Search. Sepehr Eghbali, Ladan Tahvildari |
| 2019 | Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring. Hongguang Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz |
| 2019 | Deep Supervised Cross-Modal Retrieval. Liangli Zhen, Peng Hu, Xu Wang, Dezhong Peng |
| 2019 | Deep Surface Normal Estimation With Hierarchical RGB-D Fusion. Jin Zeng, Yanfeng Tong, Yunmu Huang, Qiong Yan, Wenxiu Sun, Jing Chen, Yongtian Wang |
| 2019 | Deep Transfer Learning for Multiple Class Novelty Detection. Pramuditha Perera, Vishal M. Patel |
| 2019 | Deep Tree Learning for Zero-Shot Face Anti-Spoofing. Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu |
| 2019 | Deep Video Inpainting. Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon |
| 2019 | Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh |
| 2019 | DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection. Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang |
| 2019 | DeepCaps: Going Deeper With Capsule Networks. Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo |
| 2019 | DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images. Yuying Ge, Ruimao Zhang, Xiaogang Wang, Xiaoou Tang, Ping Luo |
| 2019 | DeepFlux for Skeletons in the Wild. Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi |
| 2019 | DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image. Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang, Xingdi Zhang, Shuaicheng Liu, Bing Zeng, Marc Pollefeys |
| 2019 | DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality. Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul E. Debevec |
| 2019 | DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds. Li Ding, Chen Feng |
| 2019 | DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove |
| 2019 | DeepView: View Synthesis With Learned Gradient Descent. John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker |
| 2019 | DeepVoxels: Learning Persistent 3D Feature Embeddings. Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer |
| 2019 | Deeper and Wider Siamese Networks for Real-Time Visual Tracking. Zhipeng Zhang, Houwen Peng |
| 2019 | Deeply-Supervised Knowledge Synergy. Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao |
| 2019 | Defending Against Adversarial Attacks by Randomized Diversification. Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy |
| 2019 | Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search. Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan |
| 2019 | Deformable ConvNets V2: More Deformable, Better Results. Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai |
| 2019 | Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders. Yuxiang Zhou, Jiankang Deng, Irene Kotsia, Stefanos Zafeiriou |
| 2019 | Dense Classification and Implanting for Few-Shot Learning. Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc |
| 2019 | Dense Depth Posterior (DDP) From Single Image and Sparse Range. Yanchao Yang, Alex Wong, Stefano Soatto |
| 2019 | Dense Intrinsic Appearance Flow for Human Pose Transfer. Yining Li, Chen Huang, Chen Change Loy |
| 2019 | Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning. Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon |
| 2019 | DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese |
| 2019 | Densely Semantically Aligned Person Re-Identification. Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen |
| 2019 | Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization. Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao |
| 2019 | Depth Coefficients for Depth Completion. Saif Muhammad Imran, Yunfei Long, Xiaoming Liu, Daniel Morris |
| 2019 | Depth From a Polarisation + RGB Stereo Pair. Dizhong Zhu, William A. P. Smith |
| 2019 | Depth-Attentional Features for Single-Image Rain Removal. Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Pheng-Ann Heng |
| 2019 | Depth-Aware Video Frame Interpolation. Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, Ming-Hsuan Yang |
| 2019 | Describing Like Humans: On Diversity in Image Captioning. Qingzhong Wang, Antoni B. Chan |
| 2019 | Destruction and Construction Learning for Fine-Grained Image Recognition. Yue Chen, Yalong Bai, Wei Zhang, Tao Mei |
| 2019 | Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation. Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao, Ruigang Yang |
| 2019 | Detect-To-Retrieve: Efficient Regional Aggregation for Image Search. Marvin Teichmann, André Araújo, Menglong Zhu, Jack Sim |
| 2019 | Detecting Overfitting of Deep Generative Networks via Latent Recovery. Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie |
| 2019 | Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View. Jiayang Liu, Weiming Zhang, Yiwei Zhang, Dongdong Hou, Yujia Liu, Hongyue Zha, Nenghai Yu |
| 2019 | Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations. David Acuna, Amlan Kar, Sanja Fidler |
| 2019 | Dichromatic Model Based Temporal Color Constancy for AC Light Sources. Jun-Sang Yoo, Jong-Ok Kim |
| 2019 | Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates. Jérôme Revaud, Minhyeok Heo, Rafael S. Rezende, Chanmi You, Seong-Gyun Jeong |
| 2019 | Direct Object Recognition Without Line-Of-Sight Using Optical Coherence. Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu |
| 2019 | Discovering Fair Representations in the Data Domain. Novi Quadrianto, Viktoriia Sharmanska, Oliver Thomas |
| 2019 | Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning. Xi Shen, Alexei A. Efros, Mathieu Aubry |
| 2019 | Disentangled Representation Learning for 3D Face Shape. Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang |
| 2019 | Disentangling Adversarial Robustness and Generalization. David Stutz, Matthias Hein, Bernt Schiele |
| 2019 | Disentangling Latent Hands for Image Synthesis and Pose Estimation. Linlin Yang, Angela Yao |
| 2019 | Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions. Zhilin Zheng, Li Sun |
| 2019 | Dissecting Person Re-Identification From the Viewpoint of Viewpoint. Xiaoxiao Sun, Liang Zheng |
| 2019 | Dissimilarity Coefficient Based Weakly Supervised Object Detection. Aditya Arun, C. V. Jawahar, M. Pawan Kumar |
| 2019 | Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. Jian Liang, Ran He, Zhenan Sun, Tieniu Tan |
| 2019 | DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao |
| 2019 | Distilled Person Re-Identification: Towards a More Scalable System. Ancong Wu, Wei-Shi Zheng, Xiaowei Guo, Jian-Huang Lai |
| 2019 | Distilling Object Detectors With Fine-Grained Feature Imitation. Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng |
| 2019 | Distraction-Aware Shadow Detection. Quanlong Zheng, Xiaotian Qiao, Ying Cao, Rynson W. H. Lau |
| 2019 | Divergence Prior and Vessel-Tree Reconstruction. Zhongwen Zhang, Dmitrii Marin, Egor Chesakov, Marc Moreno Maza, Maria Drangova, Yuri Boykov |
| 2019 | Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model. Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu |
| 2019 | Diverse Generation for Multi-Agent Sports Games. Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy |
| 2019 | Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim |
| 2019 | Divide and Conquer the Embedding Space for Metric Learning. Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer |
| 2019 | Do Better ImageNet Models Transfer Better? Simon Kornblith, Jonathon Shlens, Quoc V. Le |
| 2019 | Does Learning Specific Features for Related Parts Help Human Pose Estimation? Wei Tang, Ying Wu |
| 2019 | Domain Generalization by Solving Jigsaw Puzzles. Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi |
| 2019 | Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han |
| 2019 | Domain-Symmetric Networks for Adversarial Domain Adaptation. Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan |
| 2019 | Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval. Sounak Dey, Pau Riba, Anjan Dutta, Josep Lladós, Yi-Zhe Song |
| 2019 | Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering. Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2019 | Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution. Raied Aljadaany, Dipan K. Pal, Marios Savvides |
| 2019 | DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios. Guorun Yang, Xiao Song, Chaoqin Huang, Zhidong Deng, Jianping Shi, Bolei Zhou |
| 2019 | DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou |
| 2019 | DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama. Shang-Ta Yang, Fu-En Wang, Chi-Han Peng, Peter Wonka, Min Sun, Hung-Kuo Chu |
| 2019 | Dual Attention Network for Scene Segmentation. Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu |
| 2019 | Dual Encoding for Zero-Example Video Retrieval. Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang, Xun Wang |
| 2019 | Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani |
| 2019 | DynTypo: Example-Based Dynamic Text Effects Transfer. Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao |
| 2019 | Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering. Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven C. H. Hoi, Xiaogang Wang, Hongsheng Li |
| 2019 | Dynamic Recursive Neural Network. Qiushan Guo, Zhipeng Yu, Yichao Wu, Ding Liang, Haoyu Qin, Junjie Yan |
| 2019 | Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections. Hongyun Gao, Xin Tao, Xiaoyong Shen, Jiaya Jia |
| 2019 | Dynamics Are Important for the Recognition of Equine Pain in Video. Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström |
| 2019 | ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. Haichuan Yang, Yuhao Zhu, Ji Liu |
| 2019 | EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch. Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran |
| 2019 | ELASTIC: Improving CNNs With Dynamic Scaling Policies. Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari |
| 2019 | ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification. Fangneng Zhan, Shijian Lu |
| 2019 | ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi |
| 2019 | EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors. Yanxiang Wang, Bowen Du, Yiran Shen, Kai Wu, Guangrong Zhao, Jianguo Sun, Hongkai Wen |
| 2019 | Edge-Labeling Graph Neural Network for Few-Shot Learning. Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo |
| 2019 | Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features. Vlad Hosu, Bastian Goldlücke, Dietmar Saupe |
| 2019 | Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition. Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu |
| 2019 | Efficient Featurized Image Pyramid Network for Single Shot Detector. Yanwei Pang, Tiancai Wang, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao |
| 2019 | Efficient Multi-Domain Learning by Covariance Normalization. Yunsheng Li, Nuno Vasconcelos |
| 2019 | Efficient Neural Network Compression. Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung |
| 2019 | Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields. Yaadhav Raaj, Haroon Idrees, Gines Hidalgo, Yaser Sheikh |
| 2019 | Efficient Parameter-Free Clustering Using First Neighbor Relations. M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen |
| 2019 | Efficient Video Classification Using Fewer Frames. Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra |
| 2019 | Elastic Boundary Projection for 3D Medical Image Segmentation. Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille |
| 2019 | Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking. Andrii Maksai, Pascal Fua |
| 2019 | Embedding Complementary Deep Networks for Image Classification. Qiuyu Chen, Wei Zhang, Jun Yu, Jianping Fan |
| 2019 | Embodied Question Answering in Photorealistic Environments With Point Cloud Perception. Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra |
| 2019 | Emotion-Aware Human Attention Prediction. Macario O. Cordel II, Shaojing Fan, Zhiqi Shen, Mohan S. Kankanhalli |
| 2019 | End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization. Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song |
| 2019 | End-To-End Interpretable Neural Motion Planner. Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun |
| 2019 | End-To-End Learned Random Walker for Seeded Image Segmentation. Lorenzo Cerrone, Alexander Zeilmann, Fred A. Hamprecht |
| 2019 | End-To-End Multi-Task Learning With Attention. Shikun Liu, Edward Johns, Andrew J. Davison |
| 2019 | End-To-End Projector Photometric Compensation. Bingyao Huang, Haibin Ling |
| 2019 | End-To-End Supervised Product Quantization for Image Search and Retrieval. Benjamin Eliot Klein, Lior Wolf |
| 2019 | End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image. Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim |
| 2019 | Engaging Image Captioning via Personality. Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, Jason Weston |
| 2019 | Enhanced Bayesian Compression via Deep Reinforcement Learning. Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou |
| 2019 | Enhanced Pix2pix Dehazing Network. Yanyun Qu, Yizi Chen, Jingying Huang, Yuan Xie |
| 2019 | Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network. Wenda Zhao, Bowen Zheng, Qiuhua Lin, Huchuan Lu |
| 2019 | Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong |
| 2019 | Ensemble Deep Manifold Similarity Learning Using Hard Proxies. Nicolas Aziere, Sinisa Todorovic |
| 2019 | Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video. Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic |
| 2019 | Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks. Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu |
| 2019 | Event Cameras, Contrast Maximization and Reward Functions: An Analysis. Timo Stoffregen, Lindsay Kleeman |
| 2019 | Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks. Lin Wang, S. Mohammad Mostafavi I., Yo-Sung Ho, Kuk-Jin Yoon |
| 2019 | EventNet: Asynchronous Recursive Event Processing. Yusuke Sekikawa, Kosuke Hara, Hideo Saito |
| 2019 | Events-To-Video: Bringing Modern Computer Vision to Event Cameras. Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza |
| 2019 | Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables. Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu |
| 2019 | Example-Guided Style-Consistent Image Synthesis From Semantic Labeling. Miao Wang, Guo-Ye Yang, Ruilong Li, Runze Liang, Song-Hai Zhang, Peter M. Hall, Shi-Min Hu |
| 2019 | Explainability Methods for Graph Convolutional Neural Networks. Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann |
| 2019 | Explainable and Explicit Visual Reasoning Over Scene Graphs. Jiaxin Shi, Hanwang Zhang, Juanzi Li |
| 2019 | Explicit Bias Discovery in Visual Question Answering Models. Varun Manjunatha, Nirat Saini, Larry S. Davis |
| 2019 | Explicit Spatial Encoding for Deep Local Descriptors. Arun Mukundan, Giorgos Tolias, Ondrej Chum |
| 2019 | Exploiting Edge Features for Graph Neural Networks. Liyu Gong, Qiang Cheng |
| 2019 | Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji |
| 2019 | Exploiting Temporal Context for 3D Human Pose Estimation in the Wild. Anurag Arnab, Carl Doersch, Andrew Zisserman |
| 2019 | Explore-Exploit Graph Traversal for Image Retrieval. Cheng Chang, Guangwei Yu, Chundi Liu, Maksims Volkovs |
| 2019 | Exploring Context and Visual Pattern of Relationship for Scene Graph Generation. Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen |
| 2019 | Exploring Object Relation in Mean Teacher for Cross-Domain Detection. Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao |
| 2019 | Exploring the Bounds of the Utility of Context for Object Detection. Ehud Barnea, Ohad Ben-Shahar |
| 2019 | Expressive Body Capture: 3D Hands, Face, and Body From a Single Image. Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black |
| 2019 | Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman, Qixing Huang |
| 2019 | F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata |
| 2019 | FA-RPN: Floating Region Proposals for Face Detection. Mahyar Najibi, Bharat Singh, Larry S. Davis |
| 2019 | FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer |
| 2019 | FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation. Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen |
| 2019 | FML: Face Model Learning From Videos. Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed A. Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt |
| 2019 | FOCNet: A Fractional Optimal Control Network for Image Denoising. Xixi Jia, Sanyang Liu, Xiangchu Feng, Lei Zhang |
| 2019 | FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image. Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, Yung-Yu Chuang |
| 2019 | Face Anti-Spoofing: Model Matters, so Does Data. Xiao Yang, Wenhan Luo, Linchao Bao, Yuan Gao, Dihong Gong, Shibao Zheng, Zhifeng Li, Wei Liu |
| 2019 | Face Parsing With RoI Tanh-Warping. Jinpeng Lin, Hao Yang, Dong Chen, Ming Zeng, Fang Wen, Lu Yuan |
| 2019 | Face-Focused Cross-Stream Network for Deception Detection in Videos. Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen |
| 2019 | Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally. Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li |
| 2019 | Factor Graph Attention. Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing |
| 2019 | Fast Human Pose Estimation. Feng Zhang, Xiatian Zhu, Mao Ye |
| 2019 | Fast Interactive Object Annotation With Curve-GCN. Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler |
| 2019 | Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid |
| 2019 | Fast Object Class Labelling via Speech. Michael Gygli, Vittorio Ferrari |
| 2019 | Fast Online Object Tracking and Segmentation: A Unifying Approach. Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H. S. Torr |
| 2019 | Fast Single Image Reflection Suppression via Convex Optimization. Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu |
| 2019 | Fast Spatially-Varying Indoor Lighting Estimation. Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Jean-François Lalonde |
| 2019 | Fast Spatio-Temporal Residual Network for Video Super-Resolution. Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao |
| 2019 | Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks. Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim |
| 2019 | Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models. Daniel Ritchie, Kai Wang, Yu-An Lin |
| 2019 | Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views. Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou |
| 2019 | Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech. Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth |
| 2019 | FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network. Jonah Philion |
| 2019 | Feature Denoising for Improving Adversarial Robustness. Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He |
| 2019 | Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen |
| 2019 | Feature Selective Anchor-Free Module for Single-Shot Object Detection. Chenchen Zhu, Yihui He, Marios Savvides |
| 2019 | Feature Space Perturbations Yield More Transferable Adversarial Examples. Nathan Inkawhich, Wei Wen, Hai (Helen) Li, Yiran Chen |
| 2019 | Feature Transfer Learning for Face Recognition With Under-Represented Data. Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker |
| 2019 | Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition. Xiaofeng Liu, Site Li, Lingsheng Kong, Wanqing Xie, Ping Jia, Jane You, B. V. K. Vijaya Kumar |
| 2019 | Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks. Minyoung Huh, Shao-Hua Sun, Ning Zhang |
| 2019 | Feedback Network for Image Super-Resolution. Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu |
| 2019 | Few-Shot Adaptive Faster R-CNN. Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng |
| 2019 | Few-Shot Learning With Localization in Realistic Settings. Davis Wertheimer, Bharath Hariharan |
| 2019 | Few-Shot Learning via Saliency-Guided Hallucination of Samples. Hongguang Zhang, Jing Zhang, Piotr Koniusz |
| 2019 | FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon |
| 2019 | Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration. Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang |
| 2019 | FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization. Wei Gao, Russ Tedrake |
| 2019 | Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang |
| 2019 | FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee |
| 2019 | Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage. Luca Magri, Andrea Fusiello |
| 2019 | FlowNet3D: Learning Scene Flow in 3D Point Clouds. Xingyu Liu, Charles R. Qi, Leonidas J. Guibas |
| 2019 | Focus Is All You Need: Loss Functions for Event-Based Vision. Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza |
| 2019 | Foreground-Aware Image Inpainting. Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo |
| 2019 | Frame-Consistent Recurrent Video Deraining With Dual-Level Flow. Wenhan Yang, Jiaying Liu, Jiashi Feng |
| 2019 | From Coarse to Fine: Robust Hierarchical Localization at Large Scale. Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, Marcin Dymczyk |
| 2019 | From Recognition to Cognition: Visual Commonsense Reasoning. Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi |
| 2019 | Fully Automatic Video Colorization With Self-Regularization and Diversity. Chenyang Lei, Qifeng Chen |
| 2019 | Fully Learnable Group Convolution for Acceleration of Deep Neural Networks. Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen |
| 2019 | Fully Quantized Network for Object Detection. Rundong Li, Yan Wang, Feng Liang, Hongwei Qin, Junjie Yan, Rui Fan |
| 2019 | GA-Net: Guided Aggregation Net for End-To-End Stereo Matching. Feihu Zhang, Victor Adrian Prisacariu, Ruigang Yang, Philip H. S. Torr |
| 2019 | GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction. Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou |
| 2019 | GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation. Xinhong Ma, Tianzhu Zhang, Changsheng Xu |
| 2019 | GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodolà |
| 2019 | GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images. Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai |
| 2019 | GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices. Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri |
| 2019 | GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering. Drew A. Hudson, Christopher D. Manning |
| 2019 | GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang |
| 2019 | GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud. Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas J. Guibas |
| 2019 | Gait Recognition via Disentangled Representation Learning. Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang |
| 2019 | Gaussian Temporal Awareness Networks for Action Localization. Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei |
| 2019 | Generalising Fine-Grained Sketch-Based Image Retrieval. Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2019 | Generalizable Person Re-Identification by Domain-Invariant Mapping Network. Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales |
| 2019 | Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression. Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian D. Reid, Silvio Savarese |
| 2019 | Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata |
| 2019 | Generalized Zero-Shot Recognition Based on Visually Semantic Embedding. Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama |
| 2019 | Generalizing Eye Tracking With Bayesian Adversarial Learning. Kang Wang, Rui Zhao, Hui Su, Qiang Ji |
| 2019 | Generating 3D Adversarial Point Clouds. Chong Xiang, Charles R. Qi, Bo Li |
| 2019 | Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning. Spyros Gidaris, Nikos Komodakis |
| 2019 | Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network. Chen Li, Gim Hee Lee |
| 2019 | Generative Dual Adversarial Network for Generalized Zero-Shot Learning. He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang |
| 2019 | GeoNet: Deep Geodesic Networks for Point Cloud Analysis. Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto |
| 2019 | Geometry-Aware Distillation for Indoor Semantic Segmentation. Jianbo Jiao, Yunchao Wei, Zequn Jie, Honghui Shi, Rynson W. H. Lau, Thomas S. Huang |
| 2019 | Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao |
| 2019 | Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping. Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao |
| 2019 | Global Second-Order Pooling Convolutional Networks. Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li |
| 2019 | Good News, Everyone! Context Driven Entity-Aware Captioning for News Images. Ali Furkan Biten, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas |
| 2019 | Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker |
| 2019 | Gradient Matching Generative Networks for Zero-Shot Learning. Mert Bülent Sariyildiz, Ramazan Gokberk Cinbis |
| 2019 | Graph Attention Convolution for Point Cloud Semantic Segmentation. Lei Wang, Yuchun Huang, Yaolin Hou, Shenman Zhang, Jie Shan |
| 2019 | Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li |
| 2019 | Graph Convolutional Tracking. Junyu Gao, Tianzhu Zhang, Changsheng Xu |
| 2019 | Graph-Based Global Reasoning Networks. Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis |
| 2019 | Graphical Contrastive Losses for Scene Graph Parsing. Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro |
| 2019 | Graphonomy: Universal Human Parsing via Graph Transfer Learning. Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin |
| 2019 | Greedy Structure Learning of Hierarchical Compositional Models. Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter |
| 2019 | Grid R-CNN. Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan |
| 2019 | Grounded Video Description. Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach |
| 2019 | Grounding Human-To-Vehicle Advice for Self-Driving Vehicles. Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John F. Canny |
| 2019 | Group Sampling for Scale Invariant Face Detection. Xiang Ming, Fangyun Wei, Ting Zhang, Dong Chen, Fang Wen |
| 2019 | Group-Wise Correlation Stereo Network. Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li |
| 2019 | Guaranteed Matrix Completion Under Multiple Linear Transformations. Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao |
| 2019 | Guided Stereo Matching. Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia |
| 2019 | H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions. Bugra Tekin, Federica Bogo, Marc Pollefeys |
| 2019 | HAQ: Hardware-Aware Automated Quantization With Mixed Precision. Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han |
| 2019 | HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds. Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, Panqu Wang |
| 2019 | Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning. Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy |
| 2019 | Hardness-Aware Deep Metric Learning. Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou |
| 2019 | Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning. Ruoteng Li, Loong-Fah Cheong, Robby T. Tan |
| 2019 | HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri |
| 2019 | Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang |
| 2019 | Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss. Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu |
| 2019 | Hierarchical Deep Stereo Matching on High-Resolution Images. Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan |
| 2019 | Hierarchical Discrete Distribution Decomposition for Match Density Estimation. Zhichao Yin, Trevor Darrell, Fisher Yu |
| 2019 | Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning. Bin Tong, Chao Wang, Martin Klinkigt, Yoshiyuki Kobayashi, Yuuichi Nonaka |
| 2019 | Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction. Yifei Shi, Angel X. Chang, Zhelun Wu, Manolis Savva, Kai Xu |
| 2019 | High Flux Passive Imaging With Single-Photon Sensors. Atul Ingle, Andreas Velten, Mohit Gupta |
| 2019 | High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection. Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu |
| 2019 | High-Quality Face Capture Using Anatomical Muscles. Michael Bao, Matthew Cong, Stéphane Grabli, Ronald Fedkiw |
| 2019 | Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers |
| 2019 | HoloPose: Holistic 3D Human Reconstruction In-The-Wild. Riza Alp Güler, Iasonas Kokkinos |
| 2019 | Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation. Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia |
| 2019 | HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation. Cheng Sun, Chi-Wei Hsiao, Min Sun, Hwann-Tzong Chen |
| 2019 | How to Make a Pizza: Learning a Compositional Layer-Based GAN Model. Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba |
| 2019 | Hybrid Scene Compression for Visual Localization. Federico Camposeco, Andrea Cohen, Marc Pollefeys, Torsten Sattler |
| 2019 | Hybrid Task Cascade for Instance Segmentation. Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin |
| 2019 | Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval. Binghui Chen, Weihong Deng |
| 2019 | Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior. Lizhi Wang, Chen Sun, Ying Fu, Min H. Kim, Hua Huang |
| 2019 | Hyperspectral Image Super-Resolution With Optimized RGB Guidance. Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang |
| 2019 | Hyperspectral Imaging With Random Printed Mask. Yuanyuan Zhao, Hui Guo, Zhan Ma, Xun Cao, Tao Yue, Xuemei Hu |
| 2019 | IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019 |
| 2019 | IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction. Dominic Jack, Frédéric Maire, Sareh Shirazi, Anders P. Eriksson |
| 2019 | IM-Net for High Resolution Video Frame Interpolation. Tomer Peleg, Pablo Szekely, Doron Sabo, Omry Sendik |
| 2019 | IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition. Xiaoping Wu, Chi Zhan, Yu-Kun Lai, Ming-Ming Cheng, Jufeng Yang |
| 2019 | IRLAS: Inverse Reinforcement Learning for Architecture Search. Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin, Junjie Yan |
| 2019 | Im2Pencil: Controllable Pencil Illustration From Photographs. Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang |
| 2019 | Image Deformation Meta-Networks for One-Shot Learning. Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert |
| 2019 | Image Generation From Layout. Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal |
| 2019 | Image Super-Resolution by Neural Texture Transfer. Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi |
| 2019 | Image-Question-Answer Synergistic Network for Visual Dialog. Dalu Guo, Chang Xu, Dacheng Tao |
| 2019 | Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo |
| 2019 | Importance Estimation for Neural Network Pruning. Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz |
| 2019 | Improved Road Connectivity by Joint Learning of Orientation and Segmentation. Anil Batra, Suriya Singh, Guan Pang, Saikat Basu, C. V. Jawahar, Manohar Paluri |
| 2019 | Improving Action Localization by Progressive Cross-Stream Cooperation. Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu |
| 2019 | Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis. Yu Yu, Gang Liu, Jean-Marc Odobez |
| 2019 | Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing. Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li |
| 2019 | Improving Semantic Segmentation via Video Propagation and Label Relaxation. Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro |
| 2019 | Improving Transferability of Adversarial Examples With Input Diversity. Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan L. Yuille |
| 2019 | Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training. Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel |
| 2019 | In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images. Marin Orsic, Ivan Kreso, Petra Bevandic, Sinisa Segvic |
| 2019 | In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations. Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, Christian Theobalt |
| 2019 | Incremental Object Learning From Contiguous Views. Stefan Stojanov, Samarth Mishra, Ngoc Anh Thai, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg |
| 2019 | Information Maximizing Visual Question Generation. Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei |
| 2019 | Informative Object Annotations: Tell Me Something I Don't Know. Lior Bracha, Gal Chechik |
| 2019 | Inserting Videos Into Videos. Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang |
| 2019 | Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool |
| 2019 | Instance-Level Meta Normalization. Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen |
| 2019 | Intention Oriented Image Captions With Guiding Objects. Yue Zheng, Yali Li, Shengjin Wang |
| 2019 | Interaction-And-Aggregation Network for Person Re-Identification. Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen |
| 2019 | Interactive Full Image Segmentation by Considering All Regions Jointly. Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari |
| 2019 | Interactive Image Segmentation via Backpropagating Refinement Scheme. Won-Dong Jang, Chang-Su Kim |
| 2019 | Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks. Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke |
| 2019 | Interpreting CNNs via Decision Trees. Quanshi Zhang, Yu Yang, Haotian Ma, Ying Nian Wu |
| 2019 | Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification. Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang |
| 2019 | Inverse Cooking: Recipe Generation From Food Images. Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero |
| 2019 | Inverse Discriminative Networks for Handwritten Signature Verification. Ping Wei, Huan Li, Ping Hu |
| 2019 | Inverse Path Tracing for Joint Material and Lighting Estimation. Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner |
| 2019 | Inverse Procedural Modeling of Knitwear. Elena Trunz, Sebastian Merzbach, Jonathan Klein, Thomas Schulze, Michael Weinmann, Reinhard Klein |
| 2019 | InverseRenderNet: Learning Single Image Inverse Rendering. Ye Yu, William A. P. Smith |
| 2019 | Isospectralization, or How to Hear Shape, Style, and Correspondence. Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà |
| 2019 | It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning. Monica Haurilet, Alina Roitberg, Rainer Stiefelhagen |
| 2019 | Iterative Alignment Network for Continuous Sign Language Recognition. Junfu Pu, Wengang Zhou, Houqiang Li |
| 2019 | Iterative Normalization: Beyond Standardization Towards Efficient Whitening. Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao |
| 2019 | Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision. Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard, Mubarak Shah |
| 2019 | Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning. Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille |
| 2019 | Iterative Residual CNNs for Burst Photography Applications. Filippos Kokkinos, Stamatios Lefkimmiatis |
| 2019 | Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation. Junhwa Hur, Stefan Roth |
| 2019 | JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung |
| 2019 | Joint Discriminative and Generative Learning for Person Re-Identification. Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz |
| 2019 | Joint Face Detection and Facial Motion Retargeting for Multiple Faces. Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang |
| 2019 | Joint Manifold Diffusion for Combining Predictions on Decoupled Observations. Kwang In Kim, Hyung Jin Chang |
| 2019 | Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji |
| 2019 | Joint Representative Selection and Feature Learning: A Semi-Supervised Approach. Suchen Wang, Jingjing Meng, Junsong Yuan, Yap-Peng Tan |
| 2019 | Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion. Suryansh Kumar |
| 2019 | K-Nearest Neighbors Hashing. Xiangyu He, Peisong Wang, Jian Cheng |
| 2019 | KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing. Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li |
| 2019 | Kernel Transformer Networks for Compact Spherical Convolution. Yu-Chuan Su, Kristen Grauman |
| 2019 | Kervolutional Neural Networks. Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan |
| 2019 | Knockoff Nets: Stealing Functionality of Black-Box Models. Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz |
| 2019 | Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli |
| 2019 | Knowledge Adaptation for Efficient Semantic Segmentation. Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan |
| 2019 | Knowledge Distillation via Instance Relationship Graph. Yufan Liu, Jiajiong Cao, Bing Li, Chunfeng Yuan, Weiming Hu, Yangxi Li, Yunqiang Duan |
| 2019 | Knowledge-Embedded Routing Network for Scene Graph Generation. Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin |
| 2019 | L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving. Weixin Lu, Yao Zhou, Guowei Wan, Shenhua Hou, Shiyu Song |
| 2019 | LAEO-Net: Revisiting People Looking at Each Other in Videos. Manuel J. Marín-Jiménez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman |
| 2019 | LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation. Sunok Kim, Seungryong Kim, Dongbo Min, Kwanghoon Sohn |
| 2019 | LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds. Chun-Liang Li, Tomas Simon, Jason M. Saragih, Barnabás Póczos, Yaser Sheikh |
| 2019 | LO-Net: Deep Real-Time Lidar Odometry. Qing Li, Shaoyang Chen, Cheng Wang, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li |
| 2019 | LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks. Sudhakar Kumawat, Shanmuganathan Raman |
| 2019 | LSTA: Long Short-Term Attention for Egocentric Action Recognition. Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz |
| 2019 | LVIS: A Dataset for Large Vocabulary Instance Segmentation. Agrim Gupta, Piotr Dollár, Ross B. Girshick |
| 2019 | LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein |
| 2019 | LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling |
| 2019 | Label Efficient Semi-Supervised Learning via Graph Filtering. Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan |
| 2019 | Label Propagation for Deep Semi-Supervised Learning. Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum |
| 2019 | Label-Noise Robust Generative Adversarial Networks. Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada |
| 2019 | Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model. Weining Wang, Yan Huang, Liang Wang |
| 2019 | Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic |
| 2019 | Large Scale Incremental Learning. Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, Yun Fu |
| 2019 | Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks. Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka |
| 2019 | Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy. Aoxue Li, Tiange Luo, Zhiwu Lu, Tao Xiang, Liwei Wang |
| 2019 | Large-Scale Interactive Object Segmentation With Human Annotators. Rodrigo Benenson, Stefan Popov, Vittorio Ferrari |
| 2019 | Large-Scale Long-Tailed Recognition in an Open World. Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu |
| 2019 | Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition. Deepti Ghadiyaram, Du Tran, Dhruv Mahajan |
| 2019 | Large-Scale, Metric Structure From Motion for Unordered Light Fields. Sotiris Nousias, Manolis I. A. Lourakis, Christos Bergeles |
| 2019 | LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington |
| 2019 | Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation. Yazeed Alharbi, Neil Smith, Peter Wonka |
| 2019 | Latent Space Autoregression for Novelty Detection. Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara |
| 2019 | Layout-Graph Reasoning for Fashion Landmark Detection. Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin |
| 2019 | Learning 3D Human Dynamics From Video. Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik |
| 2019 | Learning Active Contour Models for Medical Image Segmentation. Xu Chen, Bryan M. Williams, Srinivasa R. Vallabhaneni, Gabriela Czanner, Rachel Williams, Yalin Zheng |
| 2019 | Learning Actor Relation Graphs for Group Activity Recognition. Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu |
| 2019 | Learning Attraction Field Representation for Robust Line Segment Detection. Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang |
| 2019 | Learning Binary Code for Personalized Fashion Recommendation. Zhi Lu, Yang Hu, Yunchao Jiang, Yan Chen, Bing Zeng |
| 2019 | Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, Qi Tian |
| 2019 | Learning Context Graph for Person Search. Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang |
| 2019 | Learning Correspondence From the Cycle-Consistency of Time. Xiaolong Wang, Allan Jabri, Alexei A. Efros |
| 2019 | Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi |
| 2019 | Learning From Noisy Labels by Regularized Estimation of Annotator Confusion. Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman |
| 2019 | Learning From Synthetic Data for Crowd Counting in the Wild. Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan |
| 2019 | Learning Image and Video Compression Through Spatial-Temporal Energy Compaction. Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto |
| 2019 | Learning Implicit Fields for Generative Shape Modeling. Zhiqin Chen, Hao Zhang |
| 2019 | Learning Independent Object Motion From Unlabelled Stereoscopic Videos. Zhe Cao, Abhishek Kar, Christian Hane, Jitendra Malik |
| 2019 | Learning Individual Styles of Conversational Gesture. Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik |
| 2019 | Learning Instance Activation Maps for Weakly Supervised Instance Segmentation. Yi Zhu, Yanzhao Zhou, Huijuan Xu, Qixiang Ye, David S. Doermann, Jianbin Jiao |
| 2019 | Learning Joint Gait Representation via Quintuplet Loss Minimization. Kaihao Zhang, Wenhan Luo, Lin Ma, Wei Liu, Hongdong Li |
| 2019 | Learning Joint Reconstruction of Hands and Manipulated Objects. Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid |
| 2019 | Learning Linear Transformations for Fast Image and Video Style Transfer. Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang |
| 2019 | Learning Loss for Active Learning. Donggeun Yoo, In So Kweon |
| 2019 | Learning Metrics From Teachers: Compact Networks for Image Embedding. Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa |
| 2019 | Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge. Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia |
| 2019 | Learning Multi-Class Segmentations From Single-Class Datasets. Konstantin Dmitriev, Arie E. Kaufman |
| 2019 | Learning Non-Volumetric Depth Fusion Using Successive Reprojections. Simon Donné, Andreas Geiger |
| 2019 | Learning Not to Learn: Training Deep Neural Networks With Biased Data. Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim |
| 2019 | Learning Parallax Attention for Stereo Image Super-Resolution. Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jun-Gang Yang, Wei An, Yulan Guo |
| 2019 | Learning Personalized Modular Network Guided by Structured Knowledge. Xiaodan Liang |
| 2019 | Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting. Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo |
| 2019 | Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh |
| 2019 | Learning RoI Transformer for Oriented Object Detection in Aerial Images. Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu |
| 2019 | Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach. Yuhua Chen, Wen Li, Xiaoran Chen, Luc Van Gool |
| 2019 | Learning Shape-Aware Embedding for Scene Text Detection. Zhuotao Tian, Michelle Shu, Pengyuan Lyu, Ruiyu Li, Chao Zhou, Xiaoyong Shen, Jiaya Jia |
| 2019 | Learning Single-Image Depth From Videos Using Quality Assessment Networks. Weifeng Chen, Shengyi Qian, Jia Deng |
| 2019 | Learning Spatial Common Sense With Geometry-Aware Recurrent Networks. Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki |
| 2019 | Learning Spatio-Temporal Representation With Local and Global Diffusion. Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei |
| 2019 | Learning Structure-And-Motion-Aware Rolling Shutter Correction. Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Loong-Fah Cheong, Manmohan Chandraker |
| 2019 | Learning Transformation Synchronization. Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang |
| 2019 | Learning Unsupervised Video Object Segmentation Through Visual Attention. Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven C. H. Hoi, Haibin Ling |
| 2019 | Learning Video Representations From Correspondence Proposals. Xingyu Liu, Joon-Young Lee, Hailin Jin |
| 2019 | Learning View Priors for Single-View 3D Reconstruction. Hiroharu Kato, Tatsuya Harada |
| 2019 | Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition. Lin Xu, Han Sun, Yuai Liu |
| 2019 | Learning Without Memorizing. Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa |
| 2019 | Learning Words by Drawing Images. Didac Suris, Adrià Recasens, David Bau, David Harwath, James R. Glass, Antonio Torralba |
| 2019 | Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. Thibaut Durand, Nazanin Mehrasa, Greg Mori |
| 2019 | Learning a Unified Classifier Incrementally via Rebalancing. Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, Dahua Lin |
| 2019 | Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences. Seonguk Seo, Paul Hongsuck Seo, Bohyung Han |
| 2019 | Learning the Depths of Moving People by Watching Frozen People. Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman |
| 2019 | Learning to Adapt for Stereo. Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr |
| 2019 | Learning to Calibrate Straight Lines for Fisheye Image Rectification. Zhucun Xue, Nan Xue, Gui-Song Xia, Weiming Shen |
| 2019 | Learning to Cluster Faces on an Affinity Graph. Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin |
| 2019 | Learning to Compose Dynamic Tree Structures for Visual Contexts. Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu |
| 2019 | Learning to Detect Human-Object Interactions With Knowledge. Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan S. Kankanhalli |
| 2019 | Learning to Explain With Complemental Examples. Atsushi Kanehira, Tatsuya Harada |
| 2019 | Learning to Explore Intrinsic Saliency for Stereoscopic Video. Qiudan Zhang, Xu Wang, Shiqi Wang, Shikai Li, Sam Kwong, Jianmin Jiang |
| 2019 | Learning to Extract Flawless Slow Motion From Blurry Videos. Meiguang Jin, Zhe Hu, Paolo Favaro |
| 2019 | Learning to Film From Professional Human Motion Videos. Chong Huang, Chuan-En Lin, Zhenyu Yang, Yan Kong, Peng Chen, Xin Yang, Kwang-Ting Cheng |
| 2019 | Learning to Generate Synthetic Data via Compositing. Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari |
| 2019 | Learning to Learn From Noisy Labeled Data. Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli |
| 2019 | Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi |
| 2019 | Learning to Learn Image Classifiers With Visual Analogy. Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian |
| 2019 | Learning to Learn Relation for Important People Detection in Still Images. Wei-Hong Li, Fa-Ting Hong, Wei-Shi Zheng |
| 2019 | Learning to Localize Through Compressed Binary Maps. Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun |
| 2019 | Learning to Minify Photometric Stereo. Junxuan Li, Antonio Robles-Kelly, Shaodi You, Yasuyuki Matsushita |
| 2019 | Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss. Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Jae-Joon Han, Youngjun Kwak, Sung Ju Hwang, Changkyu Choi |
| 2019 | Learning to Reconstruct People in Clothing From a Single RGB Camera. Thiemo Alldieck, Marcus A. Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll |
| 2019 | Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification. Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, Shin'ichi Satoh |
| 2019 | Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision. Soubhik Sanyal, Timo Bolkart, Haiwen Feng, Michael J. Black |
| 2019 | Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi |
| 2019 | Learning to Sample. Oren Dovrat, Itai Lang, Shai Avidan |
| 2019 | Learning to Separate Multiple Illuminants in a Single Image. Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan |
| 2019 | Learning to Synthesize Motion Blur. Tim Brooks, Jonathan T. Barron |
| 2019 | Learning to Transfer Examples for Partial Domain Adaptation. Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang |
| 2019 | Learning-Based Sampling for Natural Image Matting. Jingwei Tang, Yagiz Aksoy, Cengiz Öztireli, Markus H. Gross, Tunç Ozan Aydin |
| 2019 | Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces. Guodong Mu, Di Huang, Guosheng Hu, Jia Sun, Yunhong Wang |
| 2019 | Lending Orientation to Neural Networks for Cross-View Geo-Localization. Liu Liu, Hongdong Li |
| 2019 | Less Is More: Learning Highlight Detection From Video Duration. Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman |
| 2019 | Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery. Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang |
| 2019 | Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting. Muming Zhao, Jian Zhang, Chongyang Zhang, Wenjun Zhang |
| 2019 | Leveraging Shape Completion for 3D Siamese Tracking. Silvio Giancola, Jesus Zarzar, Bernard Ghanem |
| 2019 | Leveraging the Invariant Side of Generative Zero-Shot Learning. Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang |
| 2019 | LiFF: Light Field Features in Scale and Depth. Donald G. Dansereau, Bernd Girod, Gordon Wetzstein |
| 2019 | Libra R-CNN: Towards Balanced Learning for Object Detection. Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin |
| 2019 | Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus. Thomas Möllenhoff, Daniel Cremers |
| 2019 | Light Field Messaging With Deep Photographic Steganography. Eric Wengrowski, Kristin J. Dana |
| 2019 | Linkage Based Face Clustering via Graph Convolution Network. Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang |
| 2019 | Listen to the Image. Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang |
| 2019 | LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search. John P. Collomosse, Tu Bui, Hailin Jin |
| 2019 | Local Detection of Stereo Occlusion Boundaries. Jialiang Wang, Todd E. Zickler |
| 2019 | Local Features and Visual Words Emerge in Activations. Oriane Siméoni, Yannis Avrithis, Ondrej Chum |
| 2019 | Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection. Xuesong Niu, Hu Han, Songfan Yang, Yan Huang, Shiguang Shan |
| 2019 | Local Temporal Bilinear Pooling for Fine-Grained Action Parsing. Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann |
| 2019 | Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks. Hao Cheng, Dongze Lian, Bowen Deng, Shenghua Gao, Tao Tan, Yanlin Geng |
| 2019 | Locating Objects Without Bounding Boxes. Javier Ribera, David Guera, Yuhao Chen, Edward J. Delp |
| 2019 | Long-Term Feature Banks for Detailed Video Understanding. Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick |
| 2019 | Look Back and Predict Forward in Image Captioning. Yu Qin, Jiajun Du, Yonghua Zhang, Hongtao Lu |
| 2019 | Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes. Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding |
| 2019 | Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition. Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo |
| 2019 | Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition. Jiayu Dong, Huicheng Zheng, Lina Lian |
| 2019 | Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms. Canyi Lu, Xi Peng, Yunchao Wei |
| 2019 | MAGSAC: Marginalizing Sample Consensus. Daniel Barath, Jiri Matas, Jana Noskova |
| 2019 | MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment. Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis |
| 2019 | MAP Inference via Block-Coordinate Frank-Wolfe Algorithm. Paul Swoboda, Vladimir Kolmogorov |
| 2019 | MARS: Motion-Augmented RGB Stream for Action Recognition. Nieves Crasto, Philippe Weinzaepfel, Karteek Alahari, Cordelia Schmid |
| 2019 | MBS: Macroblock Scaling for CNN Model Reduction. Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang |
| 2019 | MFAS: Multimodal Fusion Architecture Search. Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Stéphane Pateux, Moez Baccouche, Frédéric Jurie |
| 2019 | MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation. Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou |
| 2019 | MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction. Hongwei Yi, Chen Li, Qiong Cao, Xiaoyong Shen, Sheng Li, Guoping Wang, Yu-Wing Tai |
| 2019 | MOTS: Multi-Object Tracking and Segmentation. Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe |
| 2019 | MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation. Yazan Abu Farha, Jürgen Gall |
| 2019 | MSCap: Multi-Style Image Captioning With Unpaired Stylized Text. Longteng Guo, Jing Liu, Peng Yao, Jiangwei Li, Hanqing Lu |
| 2019 | MUREL: Multimodal Relational Reasoning for Visual Question Answering. Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome |
| 2019 | MVF-Net: Multi-View 3D Face Morphable Model Regression. Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu |
| 2019 | MVTec AD - A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger |
| 2019 | Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang |
| 2019 | ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features. Yue Wu, Wael AbdAlmageed, Premkumar Natarajan |
| 2019 | Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map. Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Thomas Probst, Luc Van Gool |
| 2019 | Marginalized Latent Semantic Encoder for Zero-Shot Learning. Zhengming Ding, Hongfu Liu |
| 2019 | Mask Scoring R-CNN. Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang |
| 2019 | Mask-Guided Portrait Editing With Conditional GANs. Shuyang Gu, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen, Lu Yuan |
| 2019 | Max-Sliced Wasserstein Distance and Its Use for GANs. Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing |
| 2019 | MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar |
| 2019 | Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics. Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu |
| 2019 | Memory-Attended Recurrent Network for Video Captioning. Wenjie Pei, Jiyuan Zhang, Xiangrong Wang, Lei Ke, Xiaoyong Shen, Yu-Wing Tai |
| 2019 | MeshAdv: Adversarial Meshes for Visual Recognition. Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu |
| 2019 | Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset. Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh |
| 2019 | Meta-Learning With Differentiable Convex Optimization. Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto |
| 2019 | Meta-SR: A Magnification-Arbitrary Network for Super-Resolution. Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun |
| 2019 | Meta-Transfer Learning for Few-Shot Learning. Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele |
| 2019 | MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition. Weihe Zhang, Yali Wang, Yu Qiao |
| 2019 | Metric Learning for Image Registration. Marc Niethammer, Roland Kwitt, François-Xavier Vialard |
| 2019 | Min-Max Statistical Alignment for Transfer Learning. Samitha Herath, Mehrtash Harandi, Basura Fernando, Richard Nock |
| 2019 | Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks. Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu |
| 2019 | Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment. Pedro Miraldo, Surojit Saha, Srikumar Ramalingam |
| 2019 | MirrorGAN: Learning Text-To-Image Generation by Redescription. Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao |
| 2019 | Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach. Proteek Chandan Roy, Vishnu Naresh Boddeti |
| 2019 | Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation. Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh |
| 2019 | Mixture Density Generative Adversarial Networks. Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer |
| 2019 | MnasNet: Platform-Aware Neural Architecture Search for Mobile. Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le |
| 2019 | Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis. Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang |
| 2019 | Model-Blind Video Denoising via Frame-To-Frame Training. Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, Pablo Arias |
| 2019 | Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN. Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis |
| 2019 | Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling. Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian |
| 2019 | Modularized Textual Grounding for Counterfactual Resilience. Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang |
| 2019 | Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers. Jingwen He, Chao Dong, Yu Qiao |
| 2019 | Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. Jason Ku, Alex D. Pon, Steven L. Waslander |
| 2019 | Monocular Depth Estimation Using Relative Depth Maps. Jaehan Lee, Chang-Su Kim |
| 2019 | Monocular Total Capture: Posing Face, Body, and Hands in the Wild. Donglai Xiang, Hanbyul Joo, Yaser Sheikh |
| 2019 | Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views. Kun Huang, Yifu Wang, Laurent Kneip |
| 2019 | Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition. Moein Shakeri, Hong Zhang |
| 2019 | Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection. Rui Shao, Xiangyuan Lan, Jiawei Li, Pong C. Yuen |
| 2019 | Multi-Agent Tensor Fusion for Contextual Trajectory Prediction. Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris L. Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu |
| 2019 | Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan |
| 2019 | Multi-Granularity Generator for Temporal Action Proposal. Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu, Shih-Fu Chang |
| 2019 | Multi-Label Image Recognition With Graph Convolutional Networks. Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo |
| 2019 | Multi-Level Context Ultra-Aggregation for Stereo Matching. Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, Yongtian Wang |
| 2019 | Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding. Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang |
| 2019 | Multi-Person Articulated Tracking With Spatial and Temporal Embeddings. Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian |
| 2019 | Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information. Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang |
| 2019 | Multi-Scale Geometric Consistency Guided Multi-View Stereo. Qingshan Xu, Wenbing Tao |
| 2019 | Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning. Xun Wang, Xintong Han, Weilin Huang, Dengke Dong, Matthew R. Scott |
| 2019 | Multi-Source Weak Supervision for Saliency Detection. Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu |
| 2019 | Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks. Nima Mohajerin, Mohsen Rohani |
| 2019 | Multi-Target Embodied Question Answering. Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra |
| 2019 | Multi-Task Learning of Hierarchical Vision-Language Representation. Duy-Kien Nguyen, Takayuki Okatani |
| 2019 | Multi-Task Multi-Sensor Fusion for 3D Object Detection. Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun |
| 2019 | Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations. Wonhee Lee, Joonil Na, Gunhee Kim |
| 2019 | Multimodal Explanations by Predicting Counterfactuality in Videos. Atsushi Kanehira, Kentaro Takemoto, Sho Inayoshi, Tatsuya Harada |
| 2019 | Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds. Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan |
| 2019 | Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu |
| 2019 | Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation. Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, Shaohua Kevin Zhou |
| 2019 | Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong |
| 2019 | NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le |
| 2019 | NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction. Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille |
| 2019 | NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences. Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang |
| 2019 | Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination. Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho |
| 2019 | Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks. Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel |
| 2019 | Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks. Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer |
| 2019 | NetTailor: Tuning the Architecture, Not Just the Weights. Pedro Morgado, Nuno Vasconcelos |
| 2019 | Networks for Joint Affine and Non-Parametric Image Registration. Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer |
| 2019 | Neural Illumination: Lighting Prediction for Indoor Environments. Shuran Song, Thomas A. Funkhouser |
| 2019 | Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera. Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G. Narasimhan, Jan Kautz |
| 2019 | Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille |
| 2019 | Neural Rerendering in the Wild. Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla |
| 2019 | Neural Scene Decomposition for Multi-Person Motion Capture. Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua |
| 2019 | Neural Sequential Phrase Grounding (SeqGROUND). Pelin Dogan, Leonid Sigal, Markus H. Gross |
| 2019 | Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles |
| 2019 | Neuro-Inspired Eye Tracking With Eye Movement Dynamics. Kang Wang, Hui Su, Qiang Ji |
| 2019 | Noise-Aware Unsupervised Deep Lidar-Stereo Fusion. Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li |
| 2019 | Noise-Tolerant Paradigm for Training Face Recognition CNNs. Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li |
| 2019 | Noise2Void - Learning Denoising From Single Noisy Images. Alexander Krull, Tim-Oliver Buchholz, Florian Jug |
| 2019 | Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors. Yedid Hoshen, Ke Li, Jitendra Malik |
| 2019 | Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao |
| 2019 | Normalized Diversification. Shaohui Liu, Xiao Zhang, Jianqiao Wangni, Jianbo Shi |
| 2019 | Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation. He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas |
| 2019 | Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection. Ruoqi Sun, Xinge Zhu, Chongruo Wu, Chen Huang, Jianping Shi, Lizhuang Ma |
| 2019 | Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses. Jing Shi, Jia Xu, Boqing Gong, Chenliang Xu |
| 2019 | Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation. Rakshith Shetty, Bernt Schiele, Mario Fritz |
| 2019 | OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. Pramuditha Perera, Ramesh Nallapati, Bing Xiang |
| 2019 | ODE-Inspired Network Design for Single Image Super-Resolution. Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng |
| 2019 | OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks. Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun |
| 2019 | OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi |
| 2019 | Object Counting and Instance Segmentation With Image-Level Supervision. Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, Ling Shao |
| 2019 | Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering. Chen Zhang, Joohee Kim |
| 2019 | Object Discovery in Videos as Foreground Motion Clustering. Christopher Xie, Yu Xiang, Zaïd Harchaoui, Dieter Fox |
| 2019 | Object Instance Annotation With Deep Extreme Level Set Evolution. Zian Wang, David Acuna, Huan Ling, Amlan Kar, Sanja Fidler |
| 2019 | Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters. Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas |
| 2019 | Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning. Junchao Zhang, Yuxin Peng |
| 2019 | Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video. Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao |
| 2019 | Object-Driven Text-To-Image Synthesis via Adversarial Training. Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao |
| 2019 | Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks. N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan |
| 2019 | Occupancy Networks: Learning 3D Reconstruction in Function Space. Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger |
| 2019 | Octree Guided CNN With Spherical Kernels for 3D Point Clouds. Huan Lei, Naveed Akhtar, Ajmal Mian |
| 2019 | On Exploring Undetermined Relationships for Visual Relationship Detection. Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao |
| 2019 | On Finding Gray Pixels. Yanlin Qian, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas |
| 2019 | On Implicit Filter Level Sparsity in Convolutional Neural Networks. Dushyant Mehta, Kwang In Kim, Christian Theobalt |
| 2019 | On Learning Density Aware Embeddings. Soumyadeep Ghosh, Richa Singh, Mayank Vatsa |
| 2019 | On Stabilizing Generative Adversarial Training With Noise. Simon Jenni, Paolo Favaro |
| 2019 | On Zero-Shot Recognition of Generic Objects. Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi |
| 2019 | On the Continuity of Rotation Representations in Neural Networks. Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li |
| 2019 | On the Intrinsic Dimensionality of Image Representations. Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain |
| 2019 | On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions. Yusuke Tsuzuku, Issei Sato |
| 2019 | Online High Rank Matrix Completion. Jicong Fan, Madeleine Udell |
| 2019 | Orthogonal Decomposition Network for Pixel-Wise Binary Classification. Chang Liu, Fang Wan, Wei Ke, Zhuowei Xiao, Yuan Yao, Xiaosong Zhang, Qixiang Ye |
| 2019 | Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition. Devraj Mandal, Sanath Narayan, Sai Kumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao |
| 2019 | Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox |
| 2019 | P2SGrad: Refined Gradients for Optimizing Deep Face Models. Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li |
| 2019 | P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu |
| 2019 | PA3D: Pose-Action 3D Machine for Video Recognition. An Yan, Yali Wang, Zhifeng Li, Yu Qiao |
| 2019 | PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval. Wenxiao Zhang, Chunxia Xiao |
| 2019 | PDE Acceleration for Active Contours. Anthony J. Yezzi, Ganesh Sundaramoorthi, Minas Benyamin |
| 2019 | PEPSI : Fast Image Inpainting With Parallel Decoding Network. Min-Cheol Sagong, Yong-Goo Shin, Seung-Wook Kim, Seung Park, Sung-Jea Ko |
| 2019 | PIEs: Pose Invariant Embeddings. Chih-Hui Ho, Pedro Morgado, Amir Persekian, Nuno Vasconcelos |
| 2019 | PMS-Net: Robust Haze Removal Based on Patch Map for Single Images. Wei-Ting Chen, Jian-Jiun Ding, Sy-Yen Kuo |
| 2019 | PPGNet: Learning Point-Pair Graph for Line Segment Detection. Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao |
| 2019 | PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation. Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, Hujun Bao |
| 2019 | Panoptic Feature Pyramid Networks. Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár |
| 2019 | Panoptic Segmentation. Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár |
| 2019 | Parallel Optimal Transport GAN. Gil Avraham, Yan Zuo, Tom Drummond |
| 2019 | Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. Zhezhi He, Adnan Siraj Rakin, Deliang Fan |
| 2019 | Parsing R-CNN for Instance-Level Human Analysis. Lu Yang, Qing Song, Zhihui Wang, Ming Jiang |
| 2019 | Part-Regularized Near-Duplicate Vehicle Re-Identification. Bing He, Jia Li, Yifan Zhao, Yonghong Tian |
| 2019 | PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding. Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su |
| 2019 | PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation. Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu |
| 2019 | Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search. Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng |
| 2019 | Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification. Qize Yang, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng |
| 2019 | Patch-Based Progressive 3D Point Set Upsampling. Yifan Wang, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung |
| 2019 | Path-Invariant Map Networks. Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, Qixing Huang |
| 2019 | Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation. Zhenyu Zhang, Zhen Cui, Chunyan Xu, Yan Yan, Nicu Sebe, Jian Yang |
| 2019 | Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention. Pooya Abolghasemi, Amir Mazaheri, Mubarak Shah, Ladislau Bölöni |
| 2019 | Pedestrian Detection With Autoregressive Network Phases. Garrick Brazil, Xiaoming Liu |
| 2019 | Peeking Into the Future: Predicting Future Person Activities and Locations in Videos. Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei |
| 2019 | Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification. Yifan Sun, Qin Xu, Yali Li, Chi Zhang, Yikang Li, Shengjin Wang, Jian Sun |
| 2019 | Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras. Thiago L. T. da Silveira, Cláudio R. Jung |
| 2019 | Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring. Liyuan Pan, Richard I. Hartley, Miaomiao Liu, Yuchao Dai |
| 2019 | Photo Wake-Up: 3D Character Animation From a Single Photo. Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman |
| 2019 | Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey |
| 2019 | Photon-Flooded Single-Photon 3D Cameras. Anant Gupta, Atul Ingle, Andreas Velten, Mohit Gupta |
| 2019 | PifPaf: Composite Fields for Human Pose Estimation. Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi |
| 2019 | Pixel-Adaptive Convolutional Neural Networks. Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz |
| 2019 | PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image. Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz |
| 2019 | Pluralistic Image Completion. Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai |
| 2019 | Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning. Loïc Landrieu, Mohamed Boussaha |
| 2019 | Point in, Box Out: Beyond Counting Persons in Crowds. Yuting Liu, Miaojing Shi, Qijun Zhao, Xiaofang Wang |
| 2019 | Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer. Shile Li, Dongheui Lee |
| 2019 | PointConv: Deep Convolutional Networks on 3D Point Clouds. Wenxuan Wu, Zhongang Qi, Fuxin Li |
| 2019 | PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds. Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger |
| 2019 | PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet. Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey |
| 2019 | PointPillars: Fast Encoders for Object Detection From Point Clouds. Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom |
| 2019 | PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud. Shaoshuai Shi, Xiaogang Wang, Hongsheng Li |
| 2019 | PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing. Hengshuang Zhao, Li Jiang, Chi-Wing Fu, Jiaya Jia |
| 2019 | Pointing Novel Objects in Image Captioning. Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei |
| 2019 | Polarimetric Camera Calibration Using an LCD Monitor. Zhixiang Wang, Yinqiang Zheng, Yung-Yu Chuang |
| 2019 | Polynomial Representation for Persistence Diagram. Zhichao Wang, Qian Li, Gang Li, Guandong Xu |
| 2019 | Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval. Yale Song, Mohammad Soleymani |
| 2019 | Pose2Seg: Detection Free Human Instance Segmentation. Song-Hai Zhang, Ruilong Li, Xin Dong, Paul L. Rosin, Zixi Cai, Xi Han, Dingcheng Yang, Haozhi Huang, Shi-Min Hu |
| 2019 | PoseFix: Model-Agnostic General Human Pose Refinement Network. Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee |
| 2019 | Practical Coding Function Design for Time-Of-Flight Imaging. Felipe Gutierrez-Barragan, Syed Azer Reza, Andreas Velten, Mohit Gupta |
| 2019 | Practical Full Resolution Learned Lossless Image Compression. Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool |
| 2019 | Precise Detection in Densely Packed Scenes. Eran Goldman, Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner |
| 2019 | Predicting Future Frames Using Retrospective Cycle GAN. Yong-Hoon Kwon, Min-Gyu Park |
| 2019 | Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance. Nanyang Ye, Krzysztof Wolski, Rafal K. Mantiuk |
| 2019 | Privacy Preserving Image-Based Localization. Pablo Speciale, Johannes L. Schönberger, Sing Bing Kang, Sudipta N. Sinha, Marc Pollefeys |
| 2019 | Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery. Ries Uittenbogaard, Clint Sebastian, Julien A. Vijverberg, Bas Boom, Dariu M. Gavrila, Peter H. N. de With |
| 2019 | Probabilistic End-To-End Noise Correction for Learning With Noisy Labels. Kun Yi, Jianxin Wu |
| 2019 | Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope. Tolga Birdal, Umut Simsekli |
| 2019 | Progressive Attention Memory Network for Movie Story Question Answering. Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo |
| 2019 | Progressive Ensemble Networks for Zero-Shot Recognition. Meng Ye, Yuhong Guo |
| 2019 | Progressive Feature Alignment for Unsupervised Domain Adaptation. Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang |
| 2019 | Progressive Image Deraining Networks: A Better and Simpler Baseline. Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng |
| 2019 | Progressive Pose Attention Transfer for Person Image Generation. Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, Xiang Bai |
| 2019 | Progressive Teacher-Student Learning for Early Action Prediction. Xionghui Wang, Jianfang Hu, Jian-Huang Lai, Jianguo Zhang, Wei-Shi Zheng |
| 2019 | Propagation Mechanism for Deep and Wide Neural Networks. Dejiang Xu, Mong-Li Lee, Wynne Hsu |
| 2019 | Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2019 | Pushing the Boundaries of View Extrapolation With Multiplane Images. Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely |
| 2019 | Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering. Seungryul Baek, Kwang In Kim, Tae-Kyun Kim |
| 2019 | Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments. Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz |
| 2019 | Pyramid Feature Attention Network for Saliency Detection. Ting Zhao, Xiangqian Wu |
| 2019 | Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training. Feng Zheng, Cheng Deng, Xing Sun, Xinyang Jiang, Xiaowei Guo, Zongqiao Yu, Feiyue Huang, Rongrong Ji |
| 2019 | QATM: Quality-Aware Template Matching for Deep Learning. Jiaxin Cheng, Yue Wu, Wael AbdAlmageed, Premkumar Natarajan |
| 2019 | Quantization Networks. Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua |
| 2019 | Quasi-Unsupervised Color Constancy. Simone Bianco, Claudio Cusano |
| 2019 | Query-Guided End-To-End Person Search. Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso |
| 2019 | R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network. Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Yanbin Hao |
| 2019 | R3 Adversarial Network for Cross Model Face Recognition. Ken Chen, Yichao Wu, Haoyu Qin, Ding Liang, Xuebo Liu, Junjie Yan |
| 2019 | RAVEN: A Dataset for Relational and Analogical Visual REasoNing. Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu |
| 2019 | RENAS: Reinforced Evolutionary Neural Architecture Search. Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang |
| 2019 | REPAIR: Removing Representation Bias by Dataset Resampling. Yi Li, Nuno Vasconcelos |
| 2019 | RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices. Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng |
| 2019 | RF-Net: An End-To-End Image Matching Network Based on Receptive Field. Xuelun Shen, Cheng Wang, Xin Li, Zenglei Yu, Jonathan Li, Chenglu Wen, Ming Cheng, Zijian He |
| 2019 | RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid |
| 2019 | RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion. Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim |
| 2019 | ROI Pooled Correlation Filters for Visual Tracking. Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu |
| 2019 | ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape. Fabian Manhardt, Wadim Kehl, Adrien Gaidon |
| 2019 | RVOS: End-To-End Recurrent Network for Video Object Segmentation. Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marqués, Xavier Giró-i-Nieto |
| 2019 | Radial Distortion Triangulation. Zuzana Kukelova, Viktor Larsson |
| 2019 | Ranked List Loss for Deep Metric Learning. Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson |
| 2019 | Rare Event Detection Using Disentangled Representation Learning. Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura |
| 2019 | Ray-Space Projection Model for Light Field Camera. Qi Zhang, Jinbo Ling, Qing Wang, Jingyi Yu |
| 2019 | Re-Identification Supervised Texture Generation. Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei |
| 2019 | Re-Identification With Consistent Attentive Siamese Networks. Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke |
| 2019 | Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification. Song Bai, Peng Tang, Philip H. S. Torr, Longin Jan Latecki |
| 2019 | RePr: Improved Training of Convolutional Filters. Aaditya Prakash, James A. Storer, Dinei A. F. Florêncio, Cha Zhang |
| 2019 | Real-Time Self-Adaptive Deep Stereo. Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano |
| 2019 | Reasoning Visual Dialogs With Structural and Partial Observations. Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu |
| 2019 | Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection. Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li |
| 2019 | Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization. Chenchen Liu, Xinyu Weng, Yadong Mu |
| 2019 | Recurrent Back-Projection Network for Video Super-Resolution. Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita |
| 2019 | Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference. Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan |
| 2019 | Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth. Rui Wang, Stephen M. Pizer, Jan-Michael Frahm |
| 2019 | Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring. Seungjun Nah, Sanghyun Son, Kyoung Mu Lee |
| 2019 | Recursive Visual Attention in Visual Dialog. Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen |
| 2019 | Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal |
| 2019 | Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation. Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci |
| 2019 | Reflection Removal Using a Dual-Pixel Sensor. Abhijith Punnappurath, Michael S. Brown |
| 2019 | Reflective and Fluorescent Separation Under Narrow-Band Illumination. Koji Koyamatsu, Daichi Hidaka, Takahiro Okabe, Hendrik P. A. Lensch |
| 2019 | Region Proposal by Guided Anchoring. Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin |
| 2019 | RegularFace: Deep Face Recognition via Exclusive Regularization. Kai Zhao, Jingyi Xu, Ming-Ming Cheng |
| 2019 | Regularizing Activation Distribution for Training Binarized Deep Networks. Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu |
| 2019 | Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang |
| 2019 | Relation-Shape Convolutional Neural Network for Point Cloud Analysis. Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan |
| 2019 | Relational Action Forecasting. Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid |
| 2019 | Relational Knowledge Distillation. Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho |
| 2019 | Reliable and Efficient Image Cropping: A Grid Anchor Based Approach. Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang |
| 2019 | RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein |
| 2019 | RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation. Bastian Wandt, Bodo Rosenhahn |
| 2019 | Representation Flow for Action Recognition. A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning. Kshitij Dwivedi, Gemma Roig |
| 2019 | Residual Networks for Light Field Image Super-Resolution. Shuo Zhang, Youfang Lin, Hao Sheng |
| 2019 | Residual Regression With Semantic Prior for Crowd Counting. Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, Wei Liu |
| 2019 | Rethinking Knowledge Graph Propagation for Zero-Shot Learning. Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing |
| 2019 | Rethinking the Evaluation of Video Summaries. Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä |
| 2019 | Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples. Jake Zhao, Kyunghyun Cho |
| 2019 | Revealing Scenes by Inverting Structure From Motion Reconstructions. Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang, Sudipta N. Sinha |
| 2019 | Reversible GANs for Memory-Efficient Image-To-Image Translation. Tycho F. A. van der Ouderaa, Daniel E. Worrall |
| 2019 | Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning. Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo |
| 2019 | Revisiting Perspective Information for Efficient Crowd Counting. Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen |
| 2019 | Revisiting Self-Supervised Visual Representation Learning. Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer |
| 2019 | Rob-GAN: Generator, Discriminator, and Adversarial Attacker. Xuanqing Liu, Cho-Jui Hsieh |
| 2019 | Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks. Meilu Zhu, Daming Shi, Mingjie Zheng, Muhammad Sadiq |
| 2019 | Robust Histopathology Image Analysis: To Label or to Synthesize? Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz |
| 2019 | Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes. Ziquan Lan, Zi Jian Yew, Gim Hee Lee |
| 2019 | Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling. Yuanman Li, Jiantao Zhou, Xianwei Zheng, Jinyu Tian, Yuan Yan Tang |
| 2019 | Robust Video Stabilization by Optimization in CNN Weight Space. Jiyang Yu, Ravi Ramamoorthi |
| 2019 | Robustness Verification of Classification Deep Neural Networks via Linear Programming. Wang Lin, Zhengfeng Yang, Xin Chen, Qingye Zhao, Xiangkun Li, Zhiming Liu, Jifeng He |
| 2019 | Robustness of 3D Deep Learning in an Adversarial Setting. Matthew Wicker, Marta Kwiatkowska |
| 2019 | Robustness via Curvature Regularization, and Vice Versa. Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard |
| 2019 | Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions. Joey Hong, Benjamin Sapp, James Philbin |
| 2019 | S4Net: Single Stage Salient-Instance Segmentation. Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu |
| 2019 | SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines. Yuan-Ting Hu, Hong-Shuo Chen, Kexin Hui, Jia-Bin Huang, Alexander G. Schwing |
| 2019 | SCOPS: Self-Supervised Co-Part Segmentation. Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz |
| 2019 | SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker |
| 2019 | SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung |
| 2019 | SFNet: Learning Object-Aware Semantic Correspondence. Junghyup Lee, Dohyung Kim, Jean Ponce, Bumsub Ham |
| 2019 | SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception. Yue Meng, Yongxi Lu, Aman Raj, Samuel Sunarjo, Rui Guo, Tara Javidi, Gaurav Bansal, Dinesh Bharadia |
| 2019 | SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images. Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye |
| 2019 | SOSNet: Second Order Similarity Regularization for Local Descriptor Learning. Yurun Tian, Xin Yu, Bin Fan, Fuchao Wu, Huub Heijnen, Vassileios Balntas |
| 2019 | SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking. Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng |
| 2019 | SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction. Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, Nanning Zheng |
| 2019 | SSN: Learning Sparse Switchable Normalization via SparsestMax. Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo |
| 2019 | STEP: Spatio-Temporal Progressive Learning for Video Action Detection. Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry S. Davis, Jan Kautz |
| 2019 | STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing. Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen |
| 2019 | Salient Object Detection With Pyramid Attention and Salient Edges. Wenguan Wang, Shuyang Zhao, Jianbing Shen, Steven C. H. Hoi, Ali Borji |
| 2019 | Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects. Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki |
| 2019 | Scalable Convolutional Neural Network for Image Compressed Sensing. Wuzhen Shi, Feng Jiang, Shaohui Liu, Debin Zhao |
| 2019 | Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation. Jaime Spencer, Richard Bowden, Simon Hadfield |
| 2019 | Scan2CAD: Learning CAD Model Alignment in RGB-D Scans. Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner |
| 2019 | Scan2Mesh: From Unstructured Range Scans to 3D Meshes. Angela Dai, Matthias Nießner |
| 2019 | Scene Categorization From Contours: Medial Axis Based Salience Measures. Morteza Rezanejad, Gabriel Downs, John Wilder, Dirk B. Walther, Allan D. Jepson, Sven J. Dickinson, Kaleem Siddiqi |
| 2019 | Scene Graph Generation With External Knowledge and Image Reconstruction. Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling |
| 2019 | Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese |
| 2019 | Scene Parsing via Integrated Classification Model and Variance-Based Regularization. Hengcan Shi, Hongliang Li, Qingbo Wu, Zichen Song |
| 2019 | SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison |
| 2019 | ScratchDet: Training Single-Shot Object Detectors From Scratch. Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei |
| 2019 | Sea-Thru: A Method for Removing Water From Underwater Images. Derya Akkaynak, Tali Treibitz |
| 2019 | Seamless Scene Segmentation. Lorenzo Porzi, Samuel Rota Bulò, Aleksander Colovic, Peter Kontschieder |
| 2019 | Searching for a Robust Neural Architecture in Four GPU Hours. Xuanyi Dong, Yi Yang |
| 2019 | Second-Order Attention Network for Single Image Super-Resolution. Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang |
| 2019 | See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks. Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli |
| 2019 | SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang |
| 2019 | Segmentation-Driven 6D Object Pose Estimation. Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann |
| 2019 | SelFlow: Self-Supervised Learning of Optical Flow. Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu |
| 2019 | Selective Kernel Networks. Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang |
| 2019 | Selective Sensor Fusion for Neural Visual-Inertial Odometry. Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni |
| 2019 | Self-Calibrating Deep Photometric Stereo Networks. Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong |
| 2019 | Self-Critical N-Step Training for Image Captioning. Junlong Gao, Shiqi Wang, Shanshe Wang, Siwei Ma, Wen Gao |
| 2019 | Self-Supervised 3D Hand Pose Estimation Through Training by Fitting. Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao |
| 2019 | Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking. Jae Shin Yoon, Takaaki Shiratori, Shoou-I Yu, Hyun Soo Park |
| 2019 | Self-Supervised Convolutional Subspace Clustering Network. Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin |
| 2019 | Self-Supervised GANs via Auxiliary Rotation Loss. Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby |
| 2019 | Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry. Muhammed Kocabas, Salih Karagoz, Emre Akbas |
| 2019 | Self-Supervised Learning via Conditional Motion Propagation. Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy |
| 2019 | Self-Supervised Representation Learning From Videos for Facial Action Unit Detection. Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen |
| 2019 | Self-Supervised Representation Learning by Rotation Feature Decoupling. Zeyu Feng, Chang Xu, Dacheng Tao |
| 2019 | Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics. Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Yunhui Liu, Wei Liu |
| 2019 | Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction. Dejing Xu, Jun Xiao, Zhou Zhao, Jian Shao, Di Xie, Yueting Zhuang |
| 2019 | Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection. Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil Martin Robertson, Jinqiao Wang |
| 2019 | Semantic Attribute Matching Networks. Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, Kwanghoon Sohn |
| 2019 | Semantic Component Decomposition for Face Attribute Manipulation. Ying-Cong Chen, Xiaohui Shen, Zhe Lin, Xin Lu, I-Ming Pao, Jiaya Jia |
| 2019 | Semantic Correlation Promoted Shape-Variant Context for Segmentation. Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang |
| 2019 | Semantic Graph Convolutional Networks for 3D Human Pose Regression. Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas |
| 2019 | Semantic Image Synthesis With Spatially-Adaptive Normalization. Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu |
| 2019 | Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata |
| 2019 | Semantically Aligned Bias Reducing Zero Shot Learning. Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal |
| 2019 | Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval. Anjan Dutta, Zeynep Akata |
| 2019 | Semantics Disentangling for Text-To-Image Generation. Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao |
| 2019 | Semi-Supervised Learning With Graph Learning-Convolutional Networks. Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang, Bin Luo |
| 2019 | Semi-Supervised Transfer Learning for Image Rain Removal. Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu |
| 2019 | Sensitive-Sample Fingerprinting of Deep Neural Networks. Zecheng He, Tianwei Zhang, Ruby B. Lee |
| 2019 | Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang |
| 2019 | Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition. Yaping Zhang, Shuai Nie, Wenju Liu, Xing Xu, Dongxiang Zhang, Heng Tao Shen |
| 2019 | Shape Robust Text Detection With Progressive Scale Expansion Network. Wenhai Wang, Enze Xie, Xiang Li, Wenbo Hou, Tong Lu, Gang Yu, Shuai Shao |
| 2019 | Shape Unicode: A Unified Shape Representation. Sanjeev Muralikrishnan, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri |
| 2019 | Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes. Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu |
| 2019 | Shapes and Context: In-The-Wild Image Synthesis & Manipulation. Aayush Bansal, Yaser Sheikh, Deva Ramanan |
| 2019 | ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness. Rajkumar Theagarajan, Ming Chen, Bir Bhanu, Jing Zhang |
| 2019 | Shifting More Attention to Video Salient Object Detection. Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen |
| 2019 | Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara |
| 2019 | SiCloPe: Silhouette-Based Clothed People. Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima |
| 2019 | SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks. Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan |
| 2019 | Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking. Heng Fan, Haibin Ling |
| 2019 | Side Window Filtering. Hui Yin, Yuanhao Gong, Guoping Qiu |
| 2019 | Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen |
| 2019 | Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation. Fengda Zhu, Linchao Zhu, Yi Yang |
| 2019 | Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks. Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis |
| 2019 | SimulCap : Single-View Human Performance Capture With Cloth Simulation. Tao Yu, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Qionghai Dai, Gerard Pons-Moll, Yebin Liu |
| 2019 | Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation. Zhezhi He, Deliang Fan |
| 2019 | Single Image Depth Estimation Trained via Depth From Defocus Cues. Shir Gur, Lior Wolf |
| 2019 | Single Image Deraining: A Comprehensive Benchmark Analysis. Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Marcondes Cesar Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao |
| 2019 | Single Image Reflection Removal Beyond Linearity. Qiang Wen, Yinjie Tan, Jing Qin, Wenxi Liu, Guoqiang Han, Shengfeng He |
| 2019 | Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements. Kaixuan Wei, Jiaolong Yang, Ying Fu, David P. Wipf, Hua Huang |
| 2019 | Single-Frame Regularization for Temporally Stable CNNs. Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger |
| 2019 | Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding. Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao |
| 2019 | Skeleton-Based Action Recognition With Directed Graph Neural Networks. Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu |
| 2019 | SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network. Fang Liu, Xiaoming Deng, Yu-Kun Lai, Yong-Jin Liu, Cuixia Ma, Hongan Wang |
| 2019 | Skin-Based Identification From Multispectral Image Data Using CNNs. Takeshi Uemori, Atsushi Ito, Yusuke Moriuchi, Alexander Gatto, Jun Murayama |
| 2019 | Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht |
| 2019 | Sliced Wasserstein Generative Models. Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool |
| 2019 | Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues. Natalia Neverova, James Thewlis, Riza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi |
| 2019 | Snapshot Distillation: Teacher-Student Optimization in One Generation. Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille |
| 2019 | SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates. Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord |
| 2019 | SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints. Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Hamid Rezatofighi, Silvio Savarese |
| 2019 | Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning. Xinchen Liu, Wu Liu, Meng Zhang, Jingwen Chen, Lianli Gao, Chenggang Yan, Tao Mei |
| 2019 | Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence. Amir Zadeh, Michael Chan, Paul Pu Liang, Edmund Tong, Louis-Philippe Morency |
| 2019 | Soft Labels for Ordinal Regression. Raul Diaz, Amit Marathe |
| 2019 | SparseFool: A Few Pixels Make a Big Difference. Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard |
| 2019 | Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset. Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson W. H. Lau |
| 2019 | Spatial Fusion GAN for Image Synthesis. Fangneng Zhan, Hongyuan Zhu, Shijian Lu |
| 2019 | Spatial-Aware Graph Relation Network for Large-Scale Object Detection. Hang Xu, Chenhan Jiang, Xiaodan Liang, Zhenguo Li |
| 2019 | Spatially Variant Linear Representation Models for Joint Filtering. Jinshan Pan, Jiangxin Dong, Jimmy S. J. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang |
| 2019 | Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning. Nayyer Aafaq, Naveed Akhtar, Wei Liu, Syed Zulqarnain Gilani, Ajmal Mian |
| 2019 | Spatio-Temporal Video Re-Localization by Warp LSTM. Yang Feng, Lin Ma, Wei Liu, Jiebo Luo |
| 2019 | Spatiotemporal CNN for Video Object Segmentation. Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang |
| 2019 | Spectral Metric for Dataset Complexity Assessment. Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin |
| 2019 | Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager. Yuanyuan Zhao, Xuemei Hu, Hui Guo, Zhan Ma, Tao Yue, Xun Cao |
| 2019 | Speech2Face: Learning the Face Behind a Voice. Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik |
| 2019 | Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras. Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit |
| 2019 | Sphere Generative Adversarial Network Based on Geometric Moment Matching. Sung Woo Park, Junseok Kwon |
| 2019 | SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images. Yeon Kun Lee, Jaeseok Jeong, Jong Seob Yun, Wonjune Cho, Kuk-Jin Yoon |
| 2019 | Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition. Yongming Rao, Jiwen Lu, Jie Zhou |
| 2019 | Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres. Shuai Liao, Efstratios Gavves, Cees G. M. Snoek |
| 2019 | Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification. Wen-Hsuan Chu, Yu-Jhe Li, Jing-Cheng Chang, Yu-Chiang Frank Wang |
| 2019 | SpotTune: Transfer Learning Through Adaptive Fine-Tuning. Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris |
| 2019 | Steady-State Non-Line-Of-Sight Imaging. Wenzheng Chen, Simon Daneau, Fahim Mannan, Felix Heide |
| 2019 | Stereo R-CNN Based 3D Object Detection for Autonomous Driving. Peiliang Li, Xiaozhi Chen, Shaojie Shen |
| 2019 | StereoDRNet: Dilated Residual StereoNet. Rohan Chabra, Julian Straub, Christopher Sweeney, Richard A. Newcombe, Henry Fuchs |
| 2019 | Stochastic Class-Based Hard Example Mining for Deep Metric Learning. Yumin Suh, Bohyung Han, Wonsik Kim, Kyoung Mu Lee |
| 2019 | StoryGAN: A Sequential Conditional GAN for Story Visualization. Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao |
| 2019 | Strand-Accurate Multi-View Hair Capture. Giljoo Nam, Chenglei Wu, Min H. Kim, Yaser Sheikh |
| 2019 | Streamlined Dense Video Captioning. Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han |
| 2019 | Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects. Michael A. Alcorn, Qi Li, Zhitao Gong, Chengfei Wang, Long Mai, Wei-Shinn Ku, Anh Nguyen |
| 2019 | Striking the Right Balance With Uncertainty. Salman H. Khan, Munawar Hayat, Syed Waqas Zamir, Jianbing Shen, Ling Shao |
| 2019 | Strong-Weak Distribution Alignment for Adaptive Object Detection. Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko |
| 2019 | Structural Relational Reasoning of Point Clouds. Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, Qi Tian |
| 2019 | Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching. Yu Zhang, Dongqing Zou, Jimmy S. Ren, Zhe Jiang, Xiaohao Chen |
| 2019 | Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid |
| 2019 | Structured Knowledge Distillation for Semantic Segmentation. Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang |
| 2019 | Structured Pruning of Neural Networks With Budget-Aware Regularization. Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin |
| 2019 | Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song |
| 2019 | Style Transfer by Relaxed Optimal Transport and Self-Similarity. Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich |
| 2019 | Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids. Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger |
| 2019 | Supervised Fitting of Geometric Primitives to 3D Point Clouds. Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas J. Guibas |
| 2019 | Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach. Wuyuan Xie, Miaohui Wang, Mingqiang Wei, Jianmin Jiang, Jing Qin |
| 2019 | Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks. Xiao Li, Yue Dong, Pieter Peers, Xin Tong |
| 2019 | Synthesizing Environment-Aware Activities via Activity Sketches. Yuan-Hong Liao, Xavier Puig, Marko Boben, Antonio Torralba, Sanja Fidler |
| 2019 | T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor. Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic |
| 2019 | TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection. Lin Song, Shiwei Zhang, Gang Yu, Hongbin Sun |
| 2019 | TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez |
| 2019 | TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi |
| 2019 | Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa |
| 2019 | Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation. Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang |
| 2019 | Taking a Deeper Look at the Inverse Compositional Algorithm. Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger |
| 2019 | Tangent-Normal Adversarial Regularization for Semi-Supervised Learning. Bing Yu, Jingfeng Wu, Jinwen Ma, Zhanxing Zhu |
| 2019 | Target-Aware Deep Tracking. Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang |
| 2019 | Task Agnostic Meta-Learning for Few-Shot Learning. Muhammad Abdullah Jamal, Guo-Jun Qi |
| 2019 | Task-Free Continual Learning. Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars |
| 2019 | Tell Me Where I Am: Object-Level Scene Context Prediction. Xiaotian Qiao, Quanlong Zheng, Ying Cao, Rynson W. H. Lau |
| 2019 | Temporal Cycle-Consistency Learning. Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman |
| 2019 | Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping. Suhas Lohit, Qiao Wang, Pavan K. Turaga |
| 2019 | Text Guided Person Image Synthesis. Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang |
| 2019 | Text2Scene: Generating Compositional Scenes From Textual Descriptions. Fuwen Tan, Song Feng, Vicente Ordonez |
| 2019 | Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture. Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukác |
| 2019 | TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes. Jingwei Huang, Haotian Zhang, Li Yi, Thomas A. Funkhouser, Matthias Nießner, Leonidas J. Guibas |
| 2019 | Textured Neural Avatars. Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, Victor S. Lempitsky |
| 2019 | The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould |
| 2019 | The Domain Transform Solver. Akash Bapat, Jan-Michael Frahm |
| 2019 | The Perfect Match: 3D Point Cloud Matching With Smoothed Densities. Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser |
| 2019 | The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos. Hazel Doughty, Walterio W. Mayol-Cuevas, Dima Damen |
| 2019 | The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira |
| 2019 | The Visual Centrifuge: Model-Free Layered Video Representations. Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman |
| 2019 | Thinking Outside the Pool: Active Training Image Creation for Relative Attributes. Aron Yu, Kristen Grauman |
| 2019 | Tightness-Aware Evaluation Protocol for Scene Text Detection. Yuliang Liu, Lianwen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang, Lele Xie |
| 2019 | Time-Conditioned Action Anticipation in One Shot. Qiuhong Ke, Mario Fritz, Bernt Schiele |
| 2019 | Timeception for Complex Action Recognition. Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders |
| 2019 | ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images. Zhiming Cui, Changjian Li, Wenping Wang |
| 2019 | TopNet: Structural Point Cloud Decoder. Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian D. Reid, Silvio Savarese |
| 2019 | Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering. Jianyang Xie, Yitian Zhao, Yonghuai Liu, Pan Su, Yifan Zhao, Jun Cheng, Yalin Zheng, Jiang Liu |
| 2019 | Toward Convolutional Blind Denoising of Real Photographs. Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang |
| 2019 | Toward Realistic Image Compositing With Adversarial Learning. Bor-Chun Chen, Andrew Kae |
| 2019 | Towards Accurate One-Stage Object Detection With AP-Loss. Kean Chen, Jianguo Li, Weiyao Lin, John See, Ji Wang, Lingyu Duan, Zhibo Chen, Changwei He, Junni Zou |
| 2019 | Towards High-Fidelity Nonlinear 3D Face Morphable Model. Luan Tran, Feng Liu, Xiaoming Liu |
| 2019 | Towards Instance-Level Image-To-Image Translation. Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang |
| 2019 | Towards Natural and Accurate Future Motion Prediction of Humans and Animals. Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shijian Lu, Roger Zimmermann, Li Cheng |
| 2019 | Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann |
| 2019 | Towards Real Scene Super-Resolution With Raw Images. Xiangyu Xu, Yongrui Ma, Wenxiu Sun |
| 2019 | Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification. Wenjie Yang, Houjing Huang, Zhang Zhang, Xiaotang Chen, Kaiqi Huang, Shu Zhang |
| 2019 | Towards Robust Curve Text Detection With Conditional Spatial Expansion. Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh |
| 2019 | Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. Po-Yi Chen, Alexander H. Liu, Yen-Cheng Liu, Yu-Chiang Frank Wang |
| 2019 | Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction. Hanbyul Joo, Tomas Simon, Mina Cikara, Yaser Sheikh |
| 2019 | Towards Universal Object Detection by Domain Attention. Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos |
| 2019 | Towards VQA Models That Can Read. Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach |
| 2019 | Towards Visual Feature Translation. Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian |
| 2019 | TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions. Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha |
| 2019 | TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. Matthew Amodio, Smita Krishnaswamy |
| 2019 | Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers. Zhen He, Jian Li, Daxue Liu, Hangen He, David Barber |
| 2019 | Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior. Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun |
| 2019 | TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation. Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy |
| 2019 | Transfer Learning via Unsupervised Task Discovery for Visual Question Answering. Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han |
| 2019 | Transferable AutoML by Model Sharing Over Grouped Datasets. Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin |
| 2019 | Transferable Interactiveness Knowledge for Human-Object Interaction Detection. Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Haoshu Fang, Yanfeng Wang, Cewu Lu |
| 2019 | Transferrable Prototypical Networks for Unsupervised Domain Adaptation. Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei |
| 2019 | Translate-to-Recognize Networks for RGB-D Scene Recognition. Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu |
| 2019 | Triangulation Learning Network: From Monocular to Stereo 3D Object Detection. Zengyi Qin, Jinglu Wang, Yan Lu |
| 2019 | Triply Supervised Decoder Networks for Joint Detection and Segmentation. Jiale Cao, Yanwei Pang, Xuelong Li |
| 2019 | Trust Region Based Adversarial Attack on Neural Networks. Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael W. Mahoney |
| 2019 | Turn a Silicon Camera Into an InGaAs Camera. Feifan Lv, Yinqiang Zheng, Bohan Zhang, Feng Lu |
| 2019 | Two Body Problem: Collaborative Visual Task Completion. Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi |
| 2019 | Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition. Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu |
| 2019 | Typography With Decor: Intelligent Text Style Transfer. Wenjing Wang, Jiaying Liu, Shuai Yang, Zongming Guo |
| 2019 | UPSNet: A Unified Panoptic Segmentation Network. Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun |
| 2019 | UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos. Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, Wei Xu |
| 2019 | Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining. Rajeev Yasarla, Vishal M. Patel |
| 2019 | Underexposed Photo Enhancement Using Deep Illumination Estimation. Ruixing Wang, Qing Zhang, Chi-Wing Fu, Xiaoyong Shen, Wei-Shi Zheng, Jiaya Jia |
| 2019 | Understanding and Visualizing Deep Visual Saliency Models. Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault |
| 2019 | Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift. Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang |
| 2019 | Understanding the Limitations of CNN-Based Absolute Camera Pose Regression. Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixé |
| 2019 | Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data. Yaoyao Zhong, Weihong Deng, Mei Wang, Jiani Hu, Jianteng Peng, Xunqiang Tao, Yaohai Huang |
| 2019 | Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations. Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma |
| 2019 | UniformFace: Learning Deep Equidistributed Representation for Face Recognition. Yueqi Duan, Jiwen Lu, Jie Zhou |
| 2019 | Unifying Heterogeneous Classifiers With Distillation. Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini Scarzanella |
| 2019 | Universal Domain Adaptation. Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan |
| 2019 | Unprocessing Images for Learned Raw Denoising. Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron |
| 2019 | Unsupervised 3D Pose Estimation With Geometric Self-Supervision. Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, James M. Rehg |
| 2019 | Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes. Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li |
| 2019 | Unsupervised Deep Tracking. Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li |
| 2019 | Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network. Xianglei Xing, Tian Han, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu |
| 2019 | Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss. Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulò, Nicu Sebe, Elisa Ricci |
| 2019 | Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning. Gianluca Agresti, Henrik Schäfer, Piergiorgio Sartor, Pietro Zanuttigh |
| 2019 | Unsupervised Domain-Specific Deblurring via Disentangled Representations. Boyu Lu, Jun-Cheng Chen, Rama Chellappa |
| 2019 | Unsupervised Embedding Learning via Invariant and Spreading Instance Feature. Mang Ye, Xu Zhang, Pong C. Yuen, Shih-Fu Chang |
| 2019 | Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion. Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis |
| 2019 | Unsupervised Face Normalization With Extreme Pose and Expression in the Wild. Yichen Qian, Weihong Deng, Jiani Hu |
| 2019 | Unsupervised Image Captioning. Yang Feng, Lin Ma, Wei Liu, Jiebo Luo |
| 2019 | Unsupervised Image Matching and Object Discovery as Optimization. Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce |
| 2019 | Unsupervised Learning of Action Classes With Continuous Temporal Embedding. Anna Kukleva, Hilde Kuehne, Fadime Sener, Jürgen Gall |
| 2019 | Unsupervised Learning of Consensus Maximization for 3D Vision Problems. Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool |
| 2019 | Unsupervised Learning of Dense Shape Correspondence. Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel |
| 2019 | Unsupervised Moving Object Detection via Contextual Information Separation. Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto |
| 2019 | Unsupervised Multi-Modal Neural Machine Translation. Yuanhang Su, Kai Fan, Nguyen Bach, C.-C. Jay Kuo, Fei Huang |
| 2019 | Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization. Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang |
| 2019 | Unsupervised Part-Based Disentangling of Object Shape and Appearance. Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer |
| 2019 | Unsupervised Person Image Generation With Semantic Parsing Transformation. Sijie Song, Wei Zhang, Jiaying Liu, Tao Mei |
| 2019 | Unsupervised Person Re-Identification by Soft Multilabel Learning. Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai |
| 2019 | Unsupervised Primitive Discovery for Improved 3D Generative Modeling. Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes |
| 2019 | Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic |
| 2019 | Using Unknown Occluders to Recover Hidden Scenes. Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell |
| 2019 | VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild. Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Lingyu Duan |
| 2019 | VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points. Masashi Yokozuka, Shuji Oishi, Simon Thompson, Atsuhiko Banno |
| 2019 | VRSTC: Occlusion-Free Video Person Re-Identification. Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen |
| 2019 | Variational Autoencoders Pursue PCA Directions (by Accident). Michal Rolínek, Dominik Zietlow, Georg Martius |
| 2019 | Variational Bayesian Dropout With a Hierarchical Prior. Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi |
| 2019 | Variational Convolutional Neural Network Pruning. Chenglong Zhao, Bingbing Ni, Jian Zhang, Qiwei Zhao, Wenjun Zhang, Qi Tian |
| 2019 | Variational Information Distillation for Knowledge Transfer. Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai |
| 2019 | Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images. Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon |
| 2019 | Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach. Amir Atapour Abarghouei, Toby P. Breckon |
| 2019 | Versatile Multiple Choice Learning and Its Application to Vision Computing. Kai Tian, Yi Xu, Shuigeng Zhou, Jihong Guan |
| 2019 | Video Action Transformer Network. Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman |
| 2019 | Video Generation From Single Semantic Label Map. Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang |
| 2019 | Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution. Shoichiro Takeda, Yasunori Akagi, Kazuki Okami, Megumi Isogai, Hideaki Kimata |
| 2019 | Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph. Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi |
| 2019 | Video Summarization by Learning From Unpaired Data. Mrigank Rochan, Yang Wang |
| 2019 | Viewport Proposal CNN for 360deg Video Quality Assessment. Chen Li, Mai Xu, Lai Jiang, Shanyi Zhang, Xiaoming Tao |
| 2019 | Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention. Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan |
| 2019 | Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification. Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, Song Wang |
| 2019 | Visual Localization by Learning Objects-Of-Interest Dense Match Regression. Philippe Weinzaepfel, Gabriela Csurka, Yohann Cabon, Martin Humenberger |
| 2019 | Visual Query Answering by Entity-Attribute Graph Matching and Reasoning. Peixi Xiong, Huayi Zhan, Xin Wang, Baivab Sinha, Ying Wu |
| 2019 | Visual Question Answering as Reading Comprehension. Hui Li, Peng Wang, Chunhua Shen, Anton van den Hengel |
| 2019 | Visual Tracking via Adaptive Spatially-Regularized Correlation Filters. Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li |
| 2019 | VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People. Danna Gurari, Qing Li, Chi Lin, Yinan Zhao, Anhong Guo, Abigale Stangl, Jeffrey P. Bigham |
| 2019 | Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning. Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello |
| 2019 | WarpGAN: Automatic Caricature Generation. Yichun Shi, Debayan Deb, Anil K. Jain |
| 2019 | Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up. Weifeng Ge, Xiangru Lin, Yizhou Yu |
| 2019 | Weakly Supervised Deep Image Hashing Through Tag Embeddings. Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li |
| 2019 | Weakly Supervised Image Classification Through Noise Regularization. Mengying Hu, Hu Han, Shiguang Shan, Xilin Chen |
| 2019 | Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations. Jiwoon Ahn, Sunghyun Cho, Suha Kwak |
| 2019 | Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration. Shuhan Tan, Jiening Jiao, Wei-Shi Zheng |
| 2019 | Weakly Supervised Person Re-Identification. Jingke Meng, Sheng Wu, Wei-Shi Zheng |
| 2019 | Weakly Supervised Video Moment Retrieval From Text Queries. Niluthpol Chowdhury Mithun, Sujoy Paul, Amit K. Roy-Chowdhury |
| 2019 | Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation. Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin |
| 2019 | What Correspondences Reveal About Unknown Camera and Motion Models? Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel, Luc Van Gool |
| 2019 | What Do Single-View 3D Reconstruction Networks Learn? Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox |
| 2019 | What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks? Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera, Aleix M. Martínez |
| 2019 | What Object Should I Use? - Task Driven Object Detection. Johann Sawatzky, Yaser Souri, Christian Grund, Jürgen Gall |
| 2019 | What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment. Paritosh Parmar, Brendan Tran Morris |
| 2019 | What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions. Ehsan Abbasnejad, Qi Wu, Qinfeng Shi, Anton van den Hengel |
| 2019 | When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images. Mahmoud Afifi, Brian L. Price, Scott Cohen, Michael S. Brown |
| 2019 | Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. Philippe Burlina, Neil Joshi, I-Jeng Wang |
| 2019 | Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes. Yuke Li |
| 2019 | Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem. Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf |
| 2019 | Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs. Qi Zhang, Antoni B. Chan |
| 2019 | Wide-Context Semantic Image Extrapolation. Yi Wang, Xin Tao, Xiaoyong Shen, Jiaya Jia |
| 2019 | World From Blur. Jiayan Qiu, Xinchao Wang, Stephen J. Maybank, Dacheng Tao |
| 2019 | X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks. Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng |
| 2019 | You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. Zhourong Chen, Yang Li, Samy Bengio, Si Si |
| 2019 | You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection. Krishna Kumar Singh, Yong Jae Lee |
| 2019 | Zero-Shot Task Transfer. Arghya Pal, Vineeth N. Balasubramanian |
| 2019 | ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation. Di Lin, Dingguo Shen, Siting Shen, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang |
| 2019 | Zoom to Learn, Learn to Zoom. Xuaner Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun |
| 2019 | Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination. Liangzhe Yuan, Yibo Chen, Hantian Liu, Tao Kong, Jianbo Shi |
| 2019 | d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding. Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder |