| 2019 | 'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking. Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang |
| 2019 | 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019 |
| 2019 | 3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization. Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao |
| 2019 | 3D Face Modeling From Diverse Raw Scan Data. Feng Liu, Luan Tran, Xiaoming Liu |
| 2019 | 3D Instance Segmentation via Multi-Task Metric Learning. Jean Lahoud, Bernard Ghanem, Martin R. Oswald, Marc Pollefeys |
| 2019 | 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. Dong Wook Shu, Sung Woo Park, Junseok Kwon |
| 2019 | 3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. Iro Armeni, Zhi-Yang He, Amir Zamir, JunYoung Gwak, Jitendra Malik, Martin Fischer, Silvio Savarese |
| 2019 | 3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers. Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes |
| 2019 | 3D-LaneNet: End-to-End 3D Multiple Lane Detection. Noa Garnett, Rafi Cohen, Tomer Pe'er, Roee Lahav, Dan Levi |
| 2019 | 3D-RelNet: Joint Object and Relational Network for 3D Prediction. Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta |
| 2019 | 3DPeople: Modeling the Geometry of Dressed Humans. Albert Pumarola, Jordi Sanchez, Gary P. T. Choi, Alberto Sanfeliu, Francesc Moreno |
| 2019 | 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation. Arsalan Mousavian, Clemens Eppner, Dieter Fox |
| 2019 | A Bayesian Optimization Framework for Neural Network Compression. Xingchen Ma, Amal Rannen Triki, Maxim Berman, Christos Sagonas, Jacques Calì, Matthew B. Blaschko |
| 2019 | A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays. Laurie Bose, Piotr Dudek, Jianing Chen, Stephen J. Carey, Walterio W. Mayol-Cuevas |
| 2019 | A Closed-Form Solution to Universal Style Transfer. Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang |
| 2019 | A Comprehensive Overhaul of Feature Distillation. Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi |
| 2019 | A Dataset of Multi-Illumination Images in the Wild. Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand |
| 2019 | A Decoupled 3D Facial Shape Model by Adversarial Training. Victoria Fernández Abrevaya, Adnane Boukhayma, Stefanie Wuhrer, Edmond Boyer |
| 2019 | A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents. Jinwoo Kim, Woojae Kim, Heeseok Oh, Seongmin Lee, Sanghoon Lee |
| 2019 | A Deep Step Pattern Representation for Multimodal Retinal Image Registration. Jimmy Addison Lee, Peng Liu, Jun Cheng, Huazhu Fu |
| 2019 | A Delay Metric for Video Object Detection: What Average Precision Fails to Tell. Huizi Mao, Xiaodong Yang, Bill Dally |
| 2019 | A Differential Volumetric Approach to Multi-View Photometric Stereo. Fotios Logothetis, Roberto Mecca, Roberto Cipolla |
| 2019 | A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification. Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa |
| 2019 | A Fast and Accurate One-Stage Approach to Visual Grounding. Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo |
| 2019 | A Geometry-Inspired Decision-Based Attack. Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard |
| 2019 | A Graph-Based Framework to Bridge Movies and Synopses. Yu Xiong, Qingqiu Huang, Lingfeng Guo, Hang Zhou, Bolei Zhou, Dahua Lin |
| 2019 | A Learned Representation for Scalable Vector Graphics. Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens |
| 2019 | A Neural Network for Detailed Human Depth Estimation From a Single Image. Sicong Tang, Feitong Tan, Kelvin Cheng, Zhaoyang Li, Siyu Zhu, Ping Tan |
| 2019 | A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao |
| 2019 | A Quaternion-Based Certifiably Optimal Solution to the Wahba Problem With Outliers. Heng Yang, Luca Carlone |
| 2019 | A Robust Learning Approach to Domain Adaptive Object Detection. Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready |
| 2019 | A Tour of Convolutional Networks Guided by Linear Interpreters. Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang |
| 2019 | A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision. Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi |
| 2019 | A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation From a Single Depth Image. Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, Junsong Yuan |
| 2019 | ABD-Net: Attentive but Diverse Person Re-Identification. Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang |
| 2019 | ACE: Adapting to Changing Environments for Semantic Segmentation. Zuxuan Wu, Xin Wang, Joseph Gonzalez, Tom Goldstein, Larry Davis |
| 2019 | ACFNet: Attentional Class Feature Network for Semantic Segmentation. Fan Zhang, Yanqin Chen, Zhihang Li, Zhibin Hong, Jingtuo Liu, Feifei Ma, Junyu Han, Errui Ding |
| 2019 | ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching. Yan Huang, Liang Wang |
| 2019 | ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han |
| 2019 | AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching. Dou Quan, Xuefeng Liang, Shuang Wang, Shaowei Wei, Yanfeng Li, Ning Huyan, Licheng Jiao |
| 2019 | AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation. Huaijia Lin, Xiaojuan Qi, Jiaya Jia |
| 2019 | AM-LFS: AutoML for Loss Function Search. Chuming Li, Xin Yuan, Chen Lin, Minghao Guo, Wei Wu, Junjie Yan, Wanli Ouyang |
| 2019 | AMASS: Archive of Motion Capture As Surface Shapes. Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, Michael J. Black |
| 2019 | AMP: Adaptive Masked Proxies for Few-Shot Segmentation. Mennatullah Siam, Boris N. Oreshkin, Martin Jägersand |
| 2019 | ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal. Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao |
| 2019 | AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations. Guo-Jun Qi, Liheng Zhang, Chang Wen Chen, Qi Tian |
| 2019 | AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation. Mohammad Tavakolian, Hamed Rezazadegan Tavakoli, Abdenour Hadid |
| 2019 | Accelerate CNN via Recursive Bayesian Pruning. Yuefu Zhou, Ya Zhang, Yanfeng Wang, Qi Tian |
| 2019 | Accelerate Learning of Deep Hashing With Gradient Attention. Long-Kai Huang, Jianda Chen, Sinno Jialin Pan |
| 2019 | Accelerated Gravitational Point Set Alignment With Altered Physical Laws. Vladislav Golyanik, Christian Theobalt, Didier Stricker |
| 2019 | Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving. Xinzhu Ma, Zhihui Wang, Haojie Li, Pengbo Zhang, Wanli Ouyang, Xin Fan |
| 2019 | Action Assessment by Joint Relation Graphs. Jiahui Pan, Jibin Gao, Wei-Shi Zheng |
| 2019 | Action Recognition With Spatial-Temporal Discriminative Filter Banks. Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe |
| 2019 | Active Learning for Deep Detection Neural Networks. Hamed H. Aghdam, Abel Gonzalez-Garcia, Antonio M. López, Joost van de Weijer |
| 2019 | AdaTransform: Adaptive Data Transformation. Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas |
| 2019 | AdaptIS: Adaptive Instance Selection Network. Konstantin Sofiiuk, Olga Barinova, Anton Konushin |
| 2019 | Adaptative Inference Cost With Convolutional Neural Mixture Models. Adria Ruiz, Jakob Verbeek |
| 2019 | Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks. Yiyou Sun, Sathya N. Ravi, Vikas Singh |
| 2019 | Adaptive Context Network for Scene Parsing. Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu |
| 2019 | Adaptive Density Map Generation for Crowd Counting. Jia Wan, Antoni B. Chan |
| 2019 | Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding. Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Dechao Meng, Qingming Huang |
| 2019 | Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression. Xinyao Wang, Liefeng Bo, Fuxin Li |
| 2019 | Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets. Riccardo Volpi, Vittorio Murino |
| 2019 | AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy |
| 2019 | Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks. Aamir Mustafa, Salman H. Khan, Munawar Hayat, Roland Goecke, Jianbing Shen, Ling Shao |
| 2019 | Adversarial Defense via Learning to Generate Diverse Attacks. Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee |
| 2019 | Adversarial Feedback Loop. Firas Shama, Roey Mechrez, Alon Shoshan, Lihi Zelnik-Manor |
| 2019 | Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition. Kun Wei, Muli Yang, Hao Wang, Cheng Deng, Xianglong Liu |
| 2019 | Adversarial Learning With Margin-Based Triplet Embedding Regularization. Yaoyao Zhong, Weihong Deng |
| 2019 | Adversarial Representation Learning for Text-to-Image Matching. Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris |
| 2019 | Adversarial Robustness vs. Model Compression, or Both? Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang |
| 2019 | Aggregation via Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation. Shengju Qian, Keqiang Sun, Wayne Wu, Chen Qian, Jiaya Jia |
| 2019 | Agile Depth Sensing Using Triangulation Light Curtains. Joseph R. Bartels, Jian Wang, William Whittaker, Srinivasa G. Narasimhan |
| 2019 | Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings. Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri |
| 2019 | Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision. Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu |
| 2019 | Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran |
| 2019 | Aligning Latent Spaces for 3D Hand Pose Estimation. Linlin Yang, Shile Li, Dongheui Lee, Angela Yao |
| 2019 | An Alarm System for Segmentation Algorithm Based on Shape Model. Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu |
| 2019 | An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction. Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong |
| 2019 | An Empirical Study of Spatial Attention Mechanisms in Deep Networks. Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai |
| 2019 | An Internal Learning Approach to Video Inpainting. Haotian Zhang, Long Mai, Hailin Jin, Zhaowen Wang, Ning Xu, John P. Collomosse |
| 2019 | Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction. Luca Anthony Thiede, Pratik Prabhanjan Brahma |
| 2019 | Anchor Diffusion for Unsupervised Video Object Segmentation. Zhao Yang, Qiang Wang, Luca Bertinetto, Song Bai, Weiming Hu, Philip H. S. Torr |
| 2019 | Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty. Serim Ryou, Seong-Gyun Jeong, Pietro Perona |
| 2019 | Anomaly Detection in Video Sequence With Appearance-Motion Correspondence. Trong-Nguyen Nguyen, Jean Meunier |
| 2019 | Approximated Bilinear Modules for Temporal Modeling. Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao |
| 2019 | Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query. Hao Wang, Cheng Deng, Junchi Yan, Dacheng Tao |
| 2019 | Asymmetric Non-Local Neural Networks for Semantic Segmentation. Zhen Zhu, Mengdu Xu, Song Bai, Tengteng Huang, Xiang Bai |
| 2019 | Asynchronous Single-Photon 3D Imaging. Anant Gupta, Atul Ingle, Mohit Gupta |
| 2019 | AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism. Jingjia Huang, Zhangheng Li, Nannan Li, Shan Liu, Ge Li |
| 2019 | Attacking Optical Flow. Anurag Ranjan, Joel Janai, Andreas Geiger, Michael J. Black |
| 2019 | Attention Augmented Convolutional Networks. Irwan Bello, Barret Zoph, Quoc Le, Ashish Vaswani, Jonathon Shlens |
| 2019 | Attention Bridging Network for Knowledge Transfer. Kunpeng Li, Yulun Zhang, Kai Li, YuanYuan Li, Yun Fu |
| 2019 | Attention on Attention for Image Captioning. Lun Huang, Wenmin Wang, Jie Chen, Xiaoyong Wei |
| 2019 | Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval. Xingxu Yao, Dongyu She, Sicheng Zhao, Jie Liang, Yu-Kun Lai, Jufeng Yang |
| 2019 | Attention-Based Autism Spectrum Disorder Screening With Privileged Modality. Shi Chen, Qi Zhao |
| 2019 | AttentionRNN: A Structured Spatial Attention Mechanism. Siddhesh Khandelwal, Leonid Sigal |
| 2019 | Attentional Feature-Pair Relation Networks for Accurate Face Recognition. Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim |
| 2019 | Attentional Neural Fields for Crowd Counting. Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao |
| 2019 | Attract or Distract: Exploit the Margin of Open Set. Qianyu Feng, Guoliang Kang, Hehe Fan, Yi Yang |
| 2019 | Attribute Attention for Semantic Disambiguation in Zero-Shot Learning. Yang Liu, Jishun Guo, Deng Cai, Xiaofei He |
| 2019 | Attribute Manipulation Generative Adversarial Networks for Fashion Images. Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, Jo Yew Tham |
| 2019 | Attribute-Driven Spontaneous Motion in Unpaired Image Translation. Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia |
| 2019 | Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. Ning Yu, Larry Davis, Mario Fritz |
| 2019 | Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification. Hang Xu, Lewei Yao, Zhenguo Li, Xiaodan Liang, Wei Zhang |
| 2019 | Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification. Ruijie Quan, Xuanyi Dong, Yu Wu, Linchao Zhu, Yi Yang |
| 2019 | AutoDispNet: Improving Disparity Estimation With AutoML. Tonmoy Saikia, Yassine Marrakchi, Arber Zela, Frank Hutter, Thomas Brox |
| 2019 | AutoFocus: Efficient Multi-Scale Inference. Mahyar Najibi, Bharat Singh, Larry Davis |
| 2019 | AutoGAN: Neural Architecture Search for Generative Adversarial Networks. Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang |
| 2019 | Automatic and Robust Skull Registration Based on Discrete Uniformization. Junli Zhao, Xin Qi, Chengfeng Wen, Na Lei, Xianfeng Gu |
| 2019 | BAE-NET: Branched Autoencoder for Shape Co-Segmentation. Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang |
| 2019 | BMN: Boundary-Matching Network for Temporal Action Proposal Generation. Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, Shilei Wen |
| 2019 | Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez |
| 2019 | Batch DropBlock Network for Person Re-Identification and Beyond. Zuozhuo Dai, Mingqiang Chen, Xiaodong Gu, Siyu Zhu, Ping Tan |
| 2019 | Batch Weight for Domain Adaptation With Mass Shift. Mikolaj Binkowski, R. Devon Hjelm, Aaron C. Courville |
| 2019 | Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement. Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic |
| 2019 | Bayesian Adaptive Superpixel Segmentation. Roy Uziel, Meitar Ronen, Oren Freifeld |
| 2019 | Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition. Rui Zhao, Kang Wang, Hui Su, Qiang Ji |
| 2019 | Bayesian Loss for Crowd Count Estimation With Point Supervision. Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong |
| 2019 | Bayesian Optimized 1-Bit CNNs. Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji |
| 2019 | Bayesian Relational Memory for Semantic Visual Navigation. Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian |
| 2019 | Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma |
| 2019 | Better and Faster: Exponential Loss for Image Patch Matching. Shuang Wang, Yanfeng Li, Xuefeng Liang, Dou Quan, Bowu Yang, Shaowei Wei, Licheng Jiao |
| 2019 | Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection. Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim |
| 2019 | Beyond Cartesian Representations for Local Descriptors. Patrick Ebel, Eduard Trulls, Kwang Moo Yi, Pascal Fua, Anastasiia Mishchuk |
| 2019 | Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. Jianyuan Guo, Yuhui Yuan, Lang Huang, Chao Zhang, Jin-Ge Yao, Kai Han |
| 2019 | Bidirectional One-Shot Unsupervised Domain Mapping. Tomer Cohen, Lior Wolf |
| 2019 | Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks. Jianyu Wang, Haichao Zhang |
| 2019 | Bilinear Attention Networks for Person Retrieval. Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi |
| 2019 | Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. Adnan Siraj Rakin, Zhezhi He, Deliang Fan |
| 2019 | Block Annotation: Better Image Annotation With Sub-Image Decomposition. Hubert Lin, Paul Upchurch, Kavita Bala |
| 2019 | Boosting Few-Shot Visual Learning With Self-Supervision. Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord |
| 2019 | Bottleneck Potentials in Markov Random Fields. Ahmed Abbas, Paul Swoboda |
| 2019 | Boundary-Aware Feature Propagation for Scene Segmentation. Henghui Ding, Xudong Jiang, Ai Qun Liu, Nadia Magnenat-Thalmann, Gang Wang |
| 2019 | Boundless: Generative Adversarial Networks for Image Extension. Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman |
| 2019 | Bridging the Domain Gap for Ground-to-Aerial Image Matching. Krishna Regmi, Mubarak Shah |
| 2019 | Bridging the Gap Between Detection and Tracking: A Unified Approach. Lianghua Huang, Xin Zhao, Kaiqi Huang |
| 2019 | Budget-Aware Adapters for Multi-Domain Learning. Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci |
| 2019 | C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection. Gao Yan, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan |
| 2019 | C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. David Novotný, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi |
| 2019 | CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation. Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang, Jianpeng Ma, Wei Xu |
| 2019 | CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval. Zihao Wang, Xihui Liu, Hongsheng Li, Lu Sheng, Junjie Yan, Xiaogang Wang, Jing Shao |
| 2019 | CARAFE: Content-Aware ReAssembly of FEatures. Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin |
| 2019 | CCNet: Criss-Cross Attention for Semantic Segmentation. Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, Wenyu Liu |
| 2019 | CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation. Zhigang Li, Gu Wang, Xiangyang Ji |
| 2019 | CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. Alan Lukezic, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kamarainen, Jiri Matas, Matej Kristan |
| 2019 | CFSNet: Toward a Controllable Feature Space for Image Restoration. Wei Wang, Ruiming Guo, Yapeng Tian, Wenming Yang |
| 2019 | CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising. Puneet Gupta, Esa Rahtu |
| 2019 | COCO-GAN: Generation by Parts via Conditional Coordinating. Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen |
| 2019 | Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty. Songyou Peng, Peter F. Sturm |
| 2019 | Calibration of Axial Fisheye Cameras Through Generic Virtual Central Models. Pierre-André Brousseau, Sébastien Roy |
| 2019 | CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization. Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, Ping Luo |
| 2019 | Camera Distance-Aware Top-Down Approach for 3D Multi-Person Pose Estimation From a Single RGB Image. Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee |
| 2019 | Canonical Surface Mapping via Geometric Cycle Consistency. Nilesh Kulkarni, Shubham Tulsiani, Abhinav Gupta |
| 2019 | Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent |
| 2019 | CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. Kevin Duarte, Yogesh S. Rawat, Mubarak Shah |
| 2019 | Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion. Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, Xiaoyun Yang |
| 2019 | Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization. Wentao Cheng, Weisi Lin, Kan Chen, Xinfeng Zhang |
| 2019 | CenterNet: Keypoint Triplets for Object Detection. Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian |
| 2019 | Chinese Street View Text: Large-Scale Chinese Text Reading With Partially Supervised Learning. Yipeng Sun, Jiaming Liu, Wei Liu, Junyu Han, Errui Ding, Jingtuo Liu |
| 2019 | Closed-Form Optimal Two-View Triangulation Based on Angular Errors. Seong Hun Lee, Javier Civera |
| 2019 | ClothFlow: A Flow-Based Model for Clothed Person Generation. Xintong Han, Weilin Huang, Xiaojun Hu, Matthew R. Scott |
| 2019 | Cluster Alignment With a Teacher for Unsupervised Domain Adaptation. Zhijie Deng, Yucen Luo, Jun Zhu |
| 2019 | ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation. Jiahui Huang, Sheng Yang, Zishuo Zhao, Yu-Kun Lai, Shimin Hu |
| 2019 | Clustered Object Detection in Aerial Images. Fan Yang, Heng Fan, Peng Chu, Erik Blasch, Haibin Ling |
| 2019 | Co-Evolutionary Compression for Unpaired Image Translation. Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu |
| 2019 | Co-Mining: Deep Face Recognition With Noisy Labels. Xiaobo Wang, Shuo Wang, Hailin Shi, Jun Wang, Tao Mei |
| 2019 | Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification. Arulkumar Subramaniam, Athira M. Nambiar, Anurag Mittal |
| 2019 | Co-Separating Sounds of Visual Objects. Ruohan Gao, Kristen Grauman |
| 2019 | Coherent Semantic Attention for Image Inpainting. Hongyu Liu, Bin Jiang, Yi Xiao, Chao Yang |
| 2019 | Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning. Fusheng Hao, Fengxiang He, Jun Cheng, Lei Wang, Jianzhong Cao, Dacheng Tao |
| 2019 | Compact Trilinear Interaction for Visual Question Answering. Tuong Do, Huy Tran, Thanh-Toan Do, Erman Tjiputra, Quang D. Tran |
| 2019 | CompenNet++: End-to-End Full Projector Compensation. Bingyao Huang, Haibin Ling |
| 2019 | CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition. Nadav Schor, Oren Katzir, Hao Zhang, Daniel Cohen-Or |
| 2019 | Composite Shape Modeling via Latent Space Factorization. Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Raphaël Groscot, Leonidas J. Guibas |
| 2019 | Compositional Video Prediction. Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani |
| 2019 | Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery. Shipeng Zhang, Lizhi Wang, Ying Fu, Xiaoming Zhong, Hua Huang |
| 2019 | Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation. Jinghua Wang, Jianmin Jiang |
| 2019 | Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim |
| 2019 | Confidence Regularized Self-Training. Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang |
| 2019 | Consensus Maximization Tree Search Revisited. Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun |
| 2019 | Conservative Wasserstein Training for Pose Estimation. Xiaofeng Liu, Yang Zou, Tong Che, Ping Jia, Peng Ding, Jane You, B. V. K. Vijaya Kumar |
| 2019 | Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong |
| 2019 | Content and Style Disentanglement for Artistic Style Transfer. Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer |
| 2019 | Context-Aware Emotion Recognition Networks. Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, Kwanghoon Sohn |
| 2019 | Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data. Yong Zhang, Haiyong Jiang, Baoyuan Wu, Yanbo Fan, Qiang Ji |
| 2019 | Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation. Qiqi Hou, Feng Liu |
| 2019 | Contextual Attention for Hand Detection in the Wild. Supreeth Narasimhaswamy, Zhengwei Wei, Yang Wang, Justin Zhang, Minh Hoai Nguyen |
| 2019 | Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation. Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee |
| 2019 | Controllable Artistic Text Style Transfer via Shape-Matching GAN. Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo |
| 2019 | Controllable Attention for Structured Layered Video Decomposition. Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman |
| 2019 | Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network. Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Jingwen Wang, Wei Liu |
| 2019 | Controlling Neural Networks via Energy Dissipation. Michael Möller, Thomas Möllenhoff, Daniel Cremers |
| 2019 | Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision. Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool |
| 2019 | Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function. Shousheng Luo, Xue-Cheng Tai, Limei Huo, Yang Wang, Roland Glowinski |
| 2019 | Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator. Byeongjoo Ahn, Akshat Dave, Ashok Veeraraghavan, Ioannis Gkioulekas, Aswin C. Sankaranarayanan |
| 2019 | Convolutional Character Networks. Linjie Xing, Zhi Tian, Weilin Huang, Matthew R. Scott |
| 2019 | Convolutional Sequence Generation for Skeleton-Based Action Synthesis. Sijie Yan, Zhizhong Li, Yuanjun Xiong, Huahan Yan, Dahua Lin |
| 2019 | Copy-and-Paste Networks for Deep Video Inpainting. Sungho Lee, Seoung Wug Oh, DaeYeun Won, Seon Joo Kim |
| 2019 | Correlation Congruence for Knowledge Distillation. Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu |
| 2019 | Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations. Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky |
| 2019 | Counterfactual Critic Multi-Agent Training for Scene Graph Generation. Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang |
| 2019 | Counting With Focus for Free. Zenglin Shi, Pascal Mettes, Cees Snoek |
| 2019 | Creativity Inspired Zero-Shot Learning. Mohamed Elhoseiny, Mohamed Elfeki |
| 2019 | Cross View Fusion for 3D Human Pose Estimation. Haibo Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang, Wenjun Zeng |
| 2019 | Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation. Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, Yu-Chiang Frank Wang |
| 2019 | Cross-Domain Adaptation for Animal Pose Estimation. Jinkun Cao, Hongyang Tang, Haoshu Fang, Xiaoyong Shen, Yu-Wing Tai, Cewu Lu |
| 2019 | Cross-View Policy Learning for Street Navigation. Ang Li, Huiyi Hu, Piotr Mirowski, Mehrdad Farajtabar |
| 2019 | Cross-X Learning for Fine-Grained Visual Categorization. Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim |
| 2019 | Crowd Counting With Deep Structured Scale Integration Network. Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin |
| 2019 | Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song |
| 2019 | CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe |
| 2019 | DADA: Depth-Aware Domain Adaptation in Semantic Segmentation. Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez |
| 2019 | DAGMapper: Learning to Map by Discovering Lane Topology. Namdar Homayounfar, Justin Liang, Wei-Chiu Ma, Jack Fan, Xinyu Wu, Raquel Urtasun |
| 2019 | DANet: Divergent Activation for Weakly Supervised Object Localization. Haolan Xue, Chang Liu, Fang Wan, Jianbin Jiao, Xiangyang Ji, Qixiang Ye |
| 2019 | DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals. Chiyu Max Jiang, Dana Lynn Ona Lansigan, Philip Marcus, Matthias Nießner |
| 2019 | DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction. Xiaoxing Zeng, Xiaojiang Peng, Yu Qiao |
| 2019 | DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun |
| 2019 | DPOD: 6D Pose Object Detector and Refiner. Sergey Zakharov, Ivan Shugurov, Slobodan Ilic |
| 2019 | DSConv: Efficient Convolution Operator. Marcelo Gennari Do Nascimento, Victor Prisacariu, Roger Fawcett |
| 2019 | DSIC: Deep Stereo Image Compression. Jerry Liu, Shenlong Wang, Raquel Urtasun |
| 2019 | DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh |
| 2019 | DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense. Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou, Nenghai Yu |
| 2019 | Data-Free Learning of Student Networks. Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian |
| 2019 | Data-Free Quantization Through Weight Equalization and Bias Correction. Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling |
| 2019 | DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild. Arnaud Dapogny, Matthieu Cord, Kevin Bailly |
| 2019 | DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better. Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang |
| 2019 | DeceptionNet: Network-Driven Domain Randomization. Sergey Zakharov, Wadim Kehl, Slobodan Ilic |
| 2019 | Deep Appearance Maps. Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz |
| 2019 | Deep Blind Hyperspectral Image Fusion. Wu Wang, Weihong Zeng, Yue Huang, Xinghao Ding, John W. Paisley |
| 2019 | Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi |
| 2019 | Deep Closest Point: Learning Representations for Point Cloud Registration. Yue Wang, Justin Solomon |
| 2019 | Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding. Linxiao Yang, Ngai-Man Cheung, Jiaying Li, Jun Fang |
| 2019 | Deep Comprehensive Correlation Mining for Image Clustering. Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha |
| 2019 | Deep Constrained Dominant Sets for Person Re-Identification. Leulseged Tesfaye Alemu, Mubarak Shah, Marcello Pelillo |
| 2019 | Deep Contextual Attention for Human-Object Interaction Detection. Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen |
| 2019 | Deep Depth From Aberration Map. Masako Kashiwagi, Nao Mishima, Tatsuo Kozakaya, Shinsaku Hiura |
| 2019 | Deep Elastic Networks With Model Selection for Multi-Task Learning. Chanho Ahn, Eunwoo Kim, Songhwai Oh |
| 2019 | Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module. Di Qiu, Jiahao Pang, Wenxiu Sun, Chengxi Yang |
| 2019 | Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention. Zhiliang Zeng, Xianzhi Li, Ying Kin Yu, Chi-Wing Fu |
| 2019 | Deep Graphical Feature Learning for the Feature Matching Problem. Zhen Zhang, Wee Sun Lee |
| 2019 | Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces. Felix Kuhnke, Jörn Ostermann |
| 2019 | Deep Hough Voting for 3D Object Detection in Point Clouds. Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas |
| 2019 | Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval. Shupeng Su, Zhisheng Zhong, Chao Zhang |
| 2019 | Deep Learning for Light Field Saliency Detection. Tiantian Wang, Yongri Piao, Huchuan Lu, Xiao Li, Lihe Zhang |
| 2019 | Deep Learning for Seeing Through Window With Raindrops. Yuhui Quan, Shijie Deng, Yixin Chen, Hui Ji |
| 2019 | Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks. Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia |
| 2019 | Deep Meta Functionals for Shape Representation. Gidi Littwin, Lior Wolf |
| 2019 | Deep Meta Learning for Real-Time Target-Aware Visual Tracking. Janghoon Choi, Junseok Kwon, Kyoung Mu Lee |
| 2019 | Deep Meta Metric Learning. Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou |
| 2019 | Deep Metric Learning With Tuplet Margin Loss. Baosheng Yu, Dacheng Tao |
| 2019 | Deep Multi-Model Fusion for Single-Image Dehazing. Zijun Deng, Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Qing Zhang, Jing Qin, Pheng-Ann Heng |
| 2019 | Deep Multiple-Attribute-Perceived Network for Real-World Texture Recognition. Wei Zhai, Yang Cao, Jing Zhang, Zheng-Jun Zha |
| 2019 | Deep Non-Rigid Structure From Motion. Chen Kong, Simon Lucey |
| 2019 | Deep Optics for Monocular Depth Estimation and 3D Object Detection. Julie Chang, Gordon Wetzstein |
| 2019 | Deep Parametric Indoor Lighting Estimation. Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, Jean-François Lalonde |
| 2019 | Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification. Zimo Liu, Jingya Wang, Shaogang Gong, Dacheng Tao, Huchuan Lu |
| 2019 | Deep Residual Learning in the JPEG Transform Domain. Max Ehrlich, Larry Davis |
| 2019 | Deep Restoration of Vintage Photographs From Scanned Halftone Prints. Qifan Gao, Xiao Shu, Xiaolin Wu |
| 2019 | Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications. Soo Ye Kim, Jihyong Oh, Munchurl Kim |
| 2019 | Deep Self-Learning From Noisy Labels. Jiangfan Han, Ping Luo, Xiaogang Wang |
| 2019 | Deep Single-Image Portrait Relighting. Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, David Jacobs |
| 2019 | Deep Supervised Hashing With Anchor Graph. Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong |
| 2019 | Deep Tensor ADMM-Net for Snapshot Compressive Imaging. Jiawei Ma, Xiao-Yang Liu, Zheng Shou, Xin Yuan |
| 2019 | DeepGCNs: Can GCNs Go As Deep As CNNs? Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem |
| 2019 | DeepHuman: 3D Human Reconstruction From a Single Image. Zerong Zheng, Tao Yu, Yixuan Wei, Qionghai Dai, Yebin Liu |
| 2019 | DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun |
| 2019 | DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration. Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, Shiyu Song |
| 2019 | Defending Against Universal Perturbations With Shared Adversarial Training. Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen |
| 2019 | Deformable Surface Tracking by Graph Matching. Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou |
| 2019 | Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy |
| 2019 | Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang |
| 2019 | DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing. Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan |
| 2019 | DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. Yuanlu Xu, Song-Chun Zhu, Tony Tung |
| 2019 | Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints. Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, Hongsheng Li |
| 2019 | Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova |
| 2019 | Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection. Yongri Piao, Wei Ji, Jingjing Li, Miao Zhang, Huchuan Lu |
| 2019 | Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes. Hao Yang, Hao Wu, Hao Chen |
| 2019 | Detecting Photoshopped Faces by Scripting Photoshop. Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros |
| 2019 | Detecting Unseen Visual Relations Using Analogies. Julia Peyre, Josef Sivic, Ivan Laptev, Cordelia Schmid |
| 2019 | Detecting the Unexpected via Image Resynthesis. Krzysztof Lis, Krishna Kanth Nakka, Pascal Fua, Mathieu Salzmann |
| 2019 | DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks. Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras, Roy Shilkrot |
| 2019 | Differentiable Kernel Evolution. Yu Liu, Jihao Liu, Xiaogang Wang, Ailing Zeng |
| 2019 | Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo |
| 2019 | Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan |
| 2019 | Digging Into Self-Supervised Monocular Depth Estimation. Clément Godard, Oisin Mac Aodha, Michael Firman, Gabriel J. Brostow |
| 2019 | Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data. Rudrasis Chakraborty, Xingjian Zhen, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh |
| 2019 | DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing. Éloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny |
| 2019 | Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction. Xiangyu Xu, Enrique Dunn |
| 2019 | Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification. Sanping Zhou, Fei Wang, Zeyi Huang, Jinjun Wang |
| 2019 | Discriminative Feature Transformation for Occluded Pedestrian Detection. Chunluan Zhou, Ming Yang, Junsong Yuan |
| 2019 | Discriminatively Learned Convex Models for Set Based Face Recognition. Hakan Cevikalp, Golara Ghorban Dordinejad |
| 2019 | Disentangled Image Matting. Shaofan Cai, Xiaoshuai Zhang, Haoqiang Fan, Haibin Huang, Jiangyu Liu, Jiaming Liu, Jiaying Liu, Jue Wang, Jian Sun |
| 2019 | Disentangling Monocular 3D Object Detection. Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Manuel Lopez-Antequera, Peter Kontschieder |
| 2019 | Disentangling Propagation and Generation for Video Prediction. Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell |
| 2019 | DistInit: Learning Video Representations Without a Single Labeled Video. Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan |
| 2019 | Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning. Chaoyang Wang, Chen Kong, Simon Lucey |
| 2019 | Distillation-Based Training for Multi-Exit Architectures. Mary Phuong, Christoph Lampert |
| 2019 | Distilling Knowledge From a Deep Pose Regressor Network. Muhamad Risqi Utama Saputra, Pedro Porto Buarque de Gusmão, Yasin Almalioglu, Andrew Markham, Niki Trigoni |
| 2019 | Diverse Image Synthesis From Semantic Layouts via Conditional IMLE. Ke Li, Tianhao Zhang, Jitendra Malik |
| 2019 | Diversity With Cooperation: Ensemble Methods for Few-Shot Classification. Nikita Dvornik, Julien Mairal, Cordelia Schmid |
| 2019 | Domain Adaptation for Semantic Segmentation With Maximum Squares Loss. Minghao Chen, Hongyang Xue, Deng Cai |
| 2019 | Domain Adaptation for Structured Output via Discriminative Patch Representations. Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker |
| 2019 | Domain Intersection and Domain Difference. Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf |
| 2019 | Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data. Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong |
| 2019 | Domain-Adaptive Single-View 3D Reconstruction. Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn |
| 2019 | Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles. Manuel Martin, Alina Roitberg, Monica Haurilet, Matthias Horne, Simon Reiß, Michael Voit, Rainer Stiefelhagen |
| 2019 | Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution. Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng |
| 2019 | Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation. Seungmin Lee, Dongwan Kim, Namil Kim, Seong-Gyun Jeong |
| 2019 | Dual Adversarial Inference for Text-to-Image Synthesis. Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens |
| 2019 | Dual Attention Matching for Audio-Visual Event Localization. Yu Wu, Linchao Zhu, Yan Yan, Yi Yang |
| 2019 | Dual Directed Capsule Network for Very Low Resolution Image Recognition. Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa |
| 2019 | Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning. Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy S. J. Ren, Rynson W. H. Lau |
| 2019 | Dynamic Anchor Feature Selection for Single-Shot Object Detection. Shuai Li, Lingxiao Yang, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang |
| 2019 | Dynamic Context Correspondence Network for Semantic Alignment. Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He |
| 2019 | Dynamic Curriculum Learning for Imbalanced Data Classification. Yiru Wang, Weihao Gan, Jie Yang, Wei Wu, Junjie Yan |
| 2019 | Dynamic Graph Attention for Referring Expression Comprehension. Sibei Yang, Guanbin Li, Yizhou Yu |
| 2019 | Dynamic Kernel Distillation for Efficient Pose Estimation in Videos. Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng |
| 2019 | Dynamic Multi-Scale Filters for Semantic Segmentation. Junjun He, Zhongying Deng, Yu Qiao |
| 2019 | Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior. Tatsuya Yokota, Kazuya Kawai, Muneyuki Sakata, Yuichi Kimura, Hidekata Hontani |
| 2019 | Dynamic Points Agglomeration for Hierarchical Point Sets Learning. Jinxian Liu, Bingbing Ni, Caiyuan Li, Jiancheng Yang, Qi Tian |
| 2019 | Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks. Alon Shoshan, Roey Mechrez, Lihi Zelnik-Manor |
| 2019 | DynamoNet: Dynamic Action and Motion Network. Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen |
| 2019 | EGNet: Edge Guidance Network for Salient Object Detection. Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng |
| 2019 | ELF: Embedded Localisation of Features in Pre-Trained CNN. Assia Benbihi, Matthieu Geist, Cédric Pradalier |
| 2019 | EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association. Michael Strecke, Jörg Stückler |
| 2019 | EMPNet: Neural Localisation and Mapping Using Embedded Memory Points. Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond |
| 2019 | EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition. Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen |
| 2019 | ERL-Net: Entangled Representation Learning for Single Image De-Raining. Guoqing Wang, Changming Sun, Arcot Sowmya |
| 2019 | Efficient Learning on Point Clouds With Basis Point Sets. Sergey Prokudin, Christoph Lassner, Javier Romero |
| 2019 | Efficient Segmentation: Learning Downsampling Near Semantic Boundaries. Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam S. Tsai, Fei Yang, Yuri Boykov |
| 2019 | Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network. Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen |
| 2019 | Efficient and Robust Registration on the 3D Special Euclidean Group. Uttaran Bhattacharya, Venu Madhav Govindu |
| 2019 | Ego-Pose Estimation and Forecasting As Real-Time PD Control. Ye Yuan, Kris Kitani |
| 2019 | Elaborate Monocular Point and Line SLAM With Robust Initialization. Sang Jun Lee, Sung Soo Hwang |
| 2019 | Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution. Yajun Qiu, Ruxin Wang, Dapeng Tao, Jun Cheng |
| 2019 | Embodied Amodal Recognition: Learning to Move to Perceive Objects. Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra |
| 2019 | Employing Deep Part-Object Relationships for Salient Object Detection. Yi Liu, Qiang Zhang, Dingwen Zhang, Jungong Han |
| 2019 | End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans. Armen Avetisyan, Angela Dai, Matthias Nießner |
| 2019 | End-to-End Hand Mesh Recovery From a Monocular RGB Image. Xiong Zhang, Qiang Li, Hong Mo, Wenbo Zhang, Wen Zheng |
| 2019 | End-to-End Learning for Graph Decomposition. Jie Song, Bjoern Andres, Michael J. Black, Otmar Hilliges, Siyu Tang |
| 2019 | End-to-End Learning of Representations for Asynchronous Event-Based Data. Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza |
| 2019 | End-to-End Wireframe Parsing. Yichao Zhou, Haozhi Qi, Yi Ma |
| 2019 | Enforcing Geometric Constraints of Virtual Normal for Depth Prediction. Wei Yin, Yifan Liu, Chunhua Shen, Youliang Yan |
| 2019 | Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval. Cheng Xu, Zhaoqun Li, Qiang Qiu, Biao Leng, Jingfei Jiang |
| 2019 | Enhancing Adversarial Example Transferability With an Intermediate Level Attack. Qian Huang, Isay Katsman, Zeqi Gu, Horace He, Serge J. Belongie, Ser-Nam Lim |
| 2019 | Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise. Wei Wang, Xin Chen, Cheng Yang, Xiang Li, Xuemei Hu, Tao Yue |
| 2019 | Enriched Feature Guided Refinement Network for Object Detection. Jing Nie, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao |
| 2019 | Entangled Transformer for Image Captioning. Guang Li, Linchao Zhu, Ping Liu, Yi Yang |
| 2019 | Episodic Training for Domain Generalization. Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales |
| 2019 | Equivariant Multi-View Networks. Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis |
| 2019 | Escaping Plato's Cave: 3D Shape From Adversarial Rendering. Philipp Henzler, Niloy J. Mitra, Tobias Ritschel |
| 2019 | Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging. Tobias Würfl, André Aichert, Nicole Maass, Frank Dennerlein, Andreas K. Maier |
| 2019 | EvalNorm: Estimating Batch Normalization Statistics for Evaluation. Saurabh Singh, Abhinav Shrivastava |
| 2019 | Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks. Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee |
| 2019 | Event-Based Motion Segmentation by Motion Compensation. Timo Stoffregen, Guillermo Gallego, Tom Drummond, Lindsay Kleeman, Davide Scaramuzza |
| 2019 | Everybody Dance Now. Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros |
| 2019 | Evolving Space-Time Neural Architectures for Videos. A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo |
| 2019 | Expectation-Maximization Attention Networks for Semantic Segmentation. Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu |
| 2019 | Expert Sample Consensus Applied to Camera Re-Localization. Eric Brachmann, Carsten Rother |
| 2019 | Explaining Neural Networks Semantically and Quantitatively. Runjin Chen, Hao Chen, Ge Huang, Jie Ren, Quanshi Zhang |
| 2019 | Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data. Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Tolga Birdal, Nassir Navab, Federico Tombari |
| 2019 | Explicit Shape Encoding for Real-Time Instance Segmentation. Wenqiang Xu, Haiyang Wang, Fubo Qi, Cewu Lu |
| 2019 | Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks. Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, Nadia Magnenat-Thalmann |
| 2019 | Exploiting Temporal Consistency for Real-Time Video Depth Estimation. Haokui Zhang, Ying Li, Yuanzhouhan Cao, Yu Liu, Chunhua Shen, Youliang Yan |
| 2019 | Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style. Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun |
| 2019 | Exploring Randomly Wired Neural Networks for Image Recognition. Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He |
| 2019 | Exploring the Limitations of Behavior Cloning for Autonomous Driving. Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon |
| 2019 | Extreme View Synthesis. Inchang Choi, Orazio Gallo, Alejandro J. Troccoli, Min H. Kim, Jan Kautz |
| 2019 | FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos. Keqiang Sun, Wayne Wu, Tinghao Liu, Shuo Yang, Quan Wang, Qiang Zhou, Zuochang Ye, Chen Qian |
| 2019 | FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second. David Smith, Matthew Loper, Xiaochen Hu, Paris Mavroidis, Javier Romero |
| 2019 | FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking. Peng Chu, Haibin Ling |
| 2019 | FCOS: Fully Convolutional One-Stage Object Detection. Zhi Tian, Chunhua Shen, Hao Chen, Tong He |
| 2019 | FDA: Feature Disruptive Attack. Aditya Ganeshan, Vivek B. S., Venkatesh Babu Radhakrishnan |
| 2019 | FSGAN: Subject Agnostic Face Swapping and Reenactment. Yuval Nirkin, Yosi Keller, Tal Hassner |
| 2019 | FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On. Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bowen Wu, Bing-Cheng Chen, Jian Yin |
| 2019 | Face Alignment With Kernel Density Deep Neural Network. Lisha Chen, Hui Su, Qiang Ji |
| 2019 | Face De-Occlusion Using 3D Morphable Model and Generative Adversarial Network. Xiaowei Yuan, In Kyu Park |
| 2019 | Face Video Deblurring Using 3D Facial Priors. Wenqi Ren, Jiaolong Yang, Senyou Deng, David P. Wipf, Xiaochun Cao, Xin Tong |
| 2019 | Face-to-Parameter Translation for Game Character Auto-Creation. Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu |
| 2019 | FaceForensics++: Learning to Detect Manipulated Facial Images. Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner |
| 2019 | Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition. Bingyu Liu, Weihong Deng, Yaoyao Zhong, Mei Wang, Jiani Hu, Xunqiang Tao, Yaohai Huang |
| 2019 | Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang |
| 2019 | Fashion++: Minimal Edits for Outfit Improvement. Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman |
| 2019 | Fast Computation of Content-Sensitive Superpixels and Supervoxels Using Q-Distances. Zipeng Ye, Ran Yi, Minjing Yu, Yong-Jin Liu, Ying He |
| 2019 | Fast Image Restoration With Multi-Bin Trainable Linear Units. Shuhang Gu, Wen Li, Luc Van Gool, Radu Timofte |
| 2019 | Fast Object Detection in Compressed Video. Shiyao Wang, Hongchao Lu, Zhidong Deng |
| 2019 | Fast Point R-CNN. Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia |
| 2019 | Fast Video Object Segmentation via Dynamic Targeting Network. Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He |
| 2019 | Fast and Practical Neural Architecture Search. Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia |
| 2019 | Fast-deepKCF Without Boundary Effect. Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu |
| 2019 | Feature Weighting and Boosting for Few-Shot Segmentation. Khoi Nguyen, Sinisa Todorovic |
| 2019 | Few-Shot Adaptive Gaze Estimation. Seonwook Park, Shalini De Mello, Pavlo Molchanov, Umar Iqbal, Otmar Hilliges, Jan Kautz |
| 2019 | Few-Shot Adversarial Learning of Realistic Neural Talking Head Models. Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor S. Lempitsky |
| 2019 | Few-Shot Generalization for Single-Image 3D Reconstruction via Priors. Bram Wallace, Bharath Hariharan |
| 2019 | Few-Shot Image Recognition With Knowledge Transfer. Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang |
| 2019 | Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training. Avinash Ravichandran, Rahul Bhotika, Stefano Soatto |
| 2019 | Few-Shot Learning With Global Class Representations. Aoxue Li, Tiange Luo, Tao Xiang, Weiran Huang, Liwei Wang |
| 2019 | Few-Shot Object Detection via Feature Reweighting. Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell |
| 2019 | Few-Shot Unsupervised Image-to-Image Translation. Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz |
| 2019 | FiNet: Compatible and Diverse Fashion Image Inpainting. Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry Davis |
| 2019 | Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. Michael Wray, Gabriela Csurka, Diane Larlus, Dima Damen |
| 2019 | Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization. Måns Larsson, Erik Stenborg, Carl Toft, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl |
| 2019 | Fingerspelling Recognition in the Wild With Iterative Visual Attention. Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Diane Brentari, Greg Shakhnarovich, Karen Livescu |
| 2019 | Flare in Interference-Based Hyperspectral Cameras. Eden Sassoon, Tali Treibitz, Yoav Y. Schechner |
| 2019 | Floor-SP: Inverse CAD for Floorplans by Sequential Room-Wise Shortest Path. Jiacheng Chen, Chen Liu, Jiaye Wu, Yasutaka Furukawa |
| 2019 | Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans. Cheng Lin, Changjian Li, Wenping Wang |
| 2019 | Fooling Network Interpretation in Image Classification. Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash |
| 2019 | Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification. Lingxiao He, Yinggang Wang, Wu Liu, He Zhao, Zhenan Sun, Jiashi Feng |
| 2019 | ForkNet: Multi-Branch Volumetric Semantic Completion From a Single Depth Image. Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari |
| 2019 | Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon |
| 2019 | FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB Image. Jingwei Huang, Yichao Zhou, Thomas A. Funkhouser, Leonidas J. Guibas |
| 2019 | Free-Form Image Inpainting With Gated Convolution. Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang |
| 2019 | Free-Form Video Inpainting With 3D Gated Convolution and Temporal PatchGAN. Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston H. Hsu |
| 2019 | FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images. Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan C. Russell, Max J. Argus, Thomas Brox |
| 2019 | From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer. Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen |
| 2019 | From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason. Ajeet Kumar Singh, Anand Mishra, Shashank Shekhar, Anirban Chakraborty |
| 2019 | Fully Convolutional Geometric Features. Christopher B. Choy, Jaesik Park, Vladlen Koltun |
| 2019 | Fully Convolutional Pixel Adaptive Image Denoiser. Sungmin Cha, Taesup Moon |
| 2019 | G3raphGround: Graph-Based Language Grounding. Mohit Bajaj, Lanjun Wang, Leonid Sigal |
| 2019 | GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition. Fangneng Zhan, Chuhui Xue, Shijian Lu |
| 2019 | GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems. Ankit Raj, Yuqi Li, Yoram Bresler |
| 2019 | GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, Venkatesh Babu Radhakrishnan |
| 2019 | GANalyze: Toward Visual Definitions of Cognitive Image Properties. Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola |
| 2019 | GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images. Erickson Rangel do Nascimento, Guilherme A. Potje, Renato Martins, Felipe C. Chamone, Mario F. M. Campos, Ruzena Bajcsy |
| 2019 | GLAMpoints: Greedily Learned Accurate Match Points. Prune Truong, Stefanos Apostolopoulos, Agata Mosinska, Samuel Stucky, Carlos Ciller, Sandro De Zanet |
| 2019 | GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition. Hao Zhou, Xiang Yu, David Jacobs |
| 2019 | GODS: Generalized One-Class Discriminative Subspaces for Anomaly Detection. Jue Wang, Anoop Cherian |
| 2019 | GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild. Alexander Grabner, Peter M. Roth, Vincent Lepetit |
| 2019 | GSLAM: A General SLAM Framework and Benchmark. Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han |
| 2019 | GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping. Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua |
| 2019 | Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler |
| 2019 | Gated2Depth: Real-Time Dense Lidar From Gated Images. Tobias Gruber, Frank D. Julca-Aguilar, Mario Bijelic, Felix Heide |
| 2019 | Gaussian Affinity for Max-Margin Class Imbalanced Learning. Munawar Hayat, Salman H. Khan, Syed Waqas Zamir, Jianbing Shen, Ling Shao |
| 2019 | Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving. Jiwoong Choi, Dayoung Chun, Hyun Kim, Hyuk-Jae Lee |
| 2019 | Gaze360: Physically Unconstrained Gaze Estimation in the Wild. Petr Kellnhofer, Adrià Recasens, Simon Stent, Wojciech Matusik, Antonio Torralba |
| 2019 | Generating Diverse and Descriptive Image Captions Using Visual Paraphrases. Lixin Liu, Jiajun Tang, Xiaojun Wan, Zongming Guo |
| 2019 | Generating Easy-to-Understand Referring Expressions for Target Identifications. Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada |
| 2019 | Generative Adversarial Minority Oversampling. Sankha Subhra Mullick, Shounak Datta, Swagatam Das |
| 2019 | Generative Adversarial Networks for Extreme Learned Image Compression. Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool |
| 2019 | Generative Adversarial Training for Weakly Supervised Cloud Matting. Zhengxia Zou, Wenyuan Li, Tianyang Shi, Zhenwei Shi, Jieping Ye |
| 2019 | Generative Modeling for Small-Data Object Detection. Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li |
| 2019 | Generative Multi-View Human Action Recognition. Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu |
| 2019 | GeoStyle: Discovering Fashion Trends and Events. Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala |
| 2019 | Geometric Disentanglement for Generative Latent Shape Models. Tristan Aumentado-Armstrong, Stavros Tsogkas, Allan D. Jepson, Sven J. Dickinson |
| 2019 | Geometry Normalization Networks for Accurate Scene Text Detection. Jiaqi Duan, Youjiang Xu, Zhanghui Kuang, Xiaoyu Yue, Hongbin Sun, Yue Guan, Wayne Zhang |
| 2019 | Global Feature Guided Local Pooling. Takumi Kobayashi |
| 2019 | Global-Local Temporal Representations for Video Person Re-Identification. Jianing Li, Shiliang Zhang, Jingdong Wang, Wen Gao, Qi Tian |
| 2019 | Goal-Driven Sequential Data Abstraction. Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2019 | GradNet: Gradient-Guided Network for Visual Object Tracking. Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu |
| 2019 | Graph Convolutional Networks for Temporal Action Localization. Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang |
| 2019 | Graph-Based Object Classification for Neuromorphic Vision Sensing. Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, Yiannis Andreopoulos |
| 2019 | GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion. Duc Nguyen, Seonghwa Choi, Woojae Kim, Sanghoon Lee |
| 2019 | Gravity as a Reference for Estimating a Person's Height From Video. Didier Bieler, Semih Günel, Pascal Fua, Helge Rhodin |
| 2019 | GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing. Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen |
| 2019 | Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss. Sudong Cai, Yulan Guo, Salman H. Khan, Jiwei Hu, Gongjian Wen |
| 2019 | Grounded Human-Object Interaction Hotspots From Video. Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman |
| 2019 | Group-Wise Deep Object Co-Segmentation With Co-Attention Recurrent Neural Network. Bo Li, Zhengxing Sun, Qian Li, Yunjie Wu, Anqi Hu |
| 2019 | Grouped Spatial-Temporal Aggregation for Efficient Action Recognition. Chenxu Luo, Alan L. Yuille |
| 2019 | Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks. Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll |
| 2019 | Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. Christos Sakaridis, Dengxin Dai, Luc Van Gool |
| 2019 | Guided Image-to-Image Translation With Bi-Directional Feature Transformation. Badour AlBahar, Jia-Bin Huang |
| 2019 | Guided Super-Resolution As Pixel-to-Pixel Transformation. Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler |
| 2019 | HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization. Hang Zhao, Antonio Torralba, Lorenzo Torresani, Zhicheng Yan |
| 2019 | HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision. Zhen Dong, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer |
| 2019 | HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. Duo Li, Aojun Zhou, Anbang Yao |
| 2019 | HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation. Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu |
| 2019 | Habitat: A Platform for Embodied AI Research. Manolis Savva, Jitendra Malik, Devi Parikh, Dhruv Batra, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun |
| 2019 | Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs. Lei Wang, Piotr Koniusz, Du Huynh |
| 2019 | HarDNet: A Low Memory Traffic Network. Ping Chao, Chao-Yang Kao, Yu-Shan Ruan, Chien-Hsiang Huang, Youn-Long Lin |
| 2019 | HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching. Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt |
| 2019 | Hiding Video in Audio via Reversible Generative Models. Hyukryul Yang, Hao Ouyang, Vladlen Koltun, Qifeng Chen |
| 2019 | Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. Huu Le, Ming Xu, Tuan Hoang, Michael Milford |
| 2019 | Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation. Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia |
| 2019 | Hierarchical Self-Attention Network for Action Localization in Videos. Rizard Renanda Adhi Pramono, Yie-Tarng Chen, Wen-Hsien Fang |
| 2019 | Hierarchical Shot Detector. Jiale Cao, Yanwei Pang, Jungong Han, Xuelong Li |
| 2019 | Hierarchy Parsing for Image Captioning. Ting Yao, Yingwei Pan, Yehao Li, Tao Mei |
| 2019 | Hilbert-Based Generative Defense for Adversarial Examples. Yang Bai, Yan Feng, Yisen Wang, Tao Dai, Shutao Xia, Yong Jiang |
| 2019 | HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images. Lyndon Chan, Mahdi S. Hosseini, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos |
| 2019 | Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense. Yixin Chen, Siyuan Huang, Tao Yuan, Yixin Zhu, Siyuan Qi, Song-Chun Zhu |
| 2019 | HoloGAN: Unsupervised Learning of 3D Representations From Natural Images. Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang |
| 2019 | Homography From Two Orientation- and Scale-Covariant Features. Dániel Baráth, Zuzana Kukelova |
| 2019 | How Do Neural Networks See Depth in Single Images? Tom van Dijk, Guido de Croon |
| 2019 | HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic |
| 2019 | Human Attention in Image Captioning: Dataset and Analysis. Sen He, Hamed Rezazadegan Tavakoli, Ali Borji, Nicolas Pugeault |
| 2019 | Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation. Yu Sun, Yun Ye, Wu Liu, Wenpeng Gao, Yili Fu, Tao Mei |
| 2019 | Human Motion Prediction via Spatio-Temporal Inpainting. Alejandro Hernandez Ruiz, Jürgen Gall, Francesc Moreno |
| 2019 | Human Uncertainty Makes Classification More Robust. Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky |
| 2019 | Human-Aware Motion Deblurring. Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao |
| 2019 | Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features. Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho |
| 2019 | Hyperspectral Image Reconstruction Using Deep External and Internal Learning. Tao Zhang, Ying Fu, Lizhi Wang, Hua Huang |
| 2019 | IL2M: Class Incremental Learning With Dual Memory. Eden Belouadah, Adrian Popescu |
| 2019 | IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things. Cheng-Yang Fu, Tamara L. Berg, Alexander C. Berg |
| 2019 | Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos. Fanyi Xiao, Haotian Liu, Yong Jae Lee |
| 2019 | Image Aesthetic Assessment Based on Pairwise Comparison A Unified Approach to Score Regression, Binary Classification, and Personalization. Jun-Tae Lee, Chang-Su Kim |
| 2019 | Image Generation From Small Datasets via Batch Statistics Adaptation. Atsuhiro Noguchi, Tatsuya Harada |
| 2019 | Image Inpainting With Learnable Bidirectional Attention Maps. Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding |
| 2019 | Image Synthesis From Reconfigurable Layout and Style. Wei Sun, Tianfu Wu |
| 2019 | Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? Rameen Abdal, Yipeng Qin, Peter Wonka |
| 2019 | Imitation Learning for Human Pose Prediction. Borui Wang, Ehsan Adeli, Hsu-Kuang Chiu, De-An Huang, Juan Carlos Niebles |
| 2019 | Implicit Surface Representations As Layers in Neural Networks. Mateusz Michalkiewicz, Jhony Kaesemodel Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson |
| 2019 | Improved Conditional VRNNs for Video Prediction. Lluís Castrejón, Nicolas Ballas, Aaron C. Courville |
| 2019 | Improved Techniques for Training Adaptive Deep Networks. Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang |
| 2019 | Improving Adversarial Robustness via Guided Complement Entropy. Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan |
| 2019 | Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization. Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu |
| 2019 | InGAN: Capturing and Retargeting the "DNA" of a Natural Image. Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani |
| 2019 | Incremental Class Discovery for Semantic Segmentation With RGBD Sensing. Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito, Kris Kitani |
| 2019 | Incremental Learning Using Conditional Adversarial Networks. Ye Xiang, Ying Fu, Pan Ji, Hua Huang |
| 2019 | Indices Matter: Learning to Index for Deep Image Matting. Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu |
| 2019 | Information Entropy Based Feature Pooling for Convolutional Neural Networks. Weitao Wan, Jiansheng Chen, Tianpeng Li, Yiqing Huang, Jingqi Tian, Cheng Yu, Youze Xue |
| 2019 | InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li, Cewu Lu |
| 2019 | Instance-Guided Context Rendering for Cross-Domain Person Re-Identification. Yanbei Chen, Xiatian Zhu, Shaogang Gong |
| 2019 | Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression. Kyung-Rae Kim, Whan Choi, Yeong Jun Koh, Seong-Gyun Jeong, Chang-Su Kim |
| 2019 | Integral Object Mining via Online Attention Accumulation. Peng-Tao Jiang, Qibin Hou, Yang Cao, Ming-Ming Cheng, Yunchao Wei, Hongkai Xiong |
| 2019 | Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman |
| 2019 | Interpolated Convolutional Networks for 3D Point Cloud Understanding. Jiageng Mao, Xiaogang Wang, Hongsheng Li |
| 2019 | Invariant Information Clustering for Unsupervised Image Classification and Segmentation. Xu Ji, Andrea Vedaldi, João F. Henriques |
| 2019 | Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii |
| 2019 | Is an Affine Constraint Needed for Affine Subspace Clustering? Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal |
| 2019 | JPEG Artifacts Reduction via Deep Convolutional Sparse Coding. Xueyang Fu, Zheng-Jun Zha, Feng Wu, Xinghao Ding, John W. Paisley |
| 2019 | Joint Acne Image Grading and Counting via Label Distribution Learning. Xiaoping Wu, Ni Wen, Jie Liang, Yu-Kun Lai, Dongyu She, Ming-Ming Cheng, Jufeng Yang |
| 2019 | Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images. Thibaud Ehret, Axel Davy, Pablo Arias, Gabriele Facciolo |
| 2019 | Joint Embedding of 3D Scan and CAD Objects. Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Nießner |
| 2019 | Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking. Tianyang Xu, Zhenhua Feng, Xiao-Jun Wu, Josef Kittler |
| 2019 | Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation. Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang |
| 2019 | Joint Learning of Semantic Alignment and Object Landmark Detection. Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn |
| 2019 | Joint Monocular 3D Vehicle Detection and Tracking. Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu |
| 2019 | Joint Optimization for Cooperative Image Captioning. Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik |
| 2019 | Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes. Huikun Bi, Zhong Fang, Tianlu Mao, Zhaoqi Wang, Zhigang Deng |
| 2019 | Joint Syntax Representation Learning and Visual Cue Translation for Video Captioning. Jingyi Hou, Xinxiao Wu, Wentian Zhao, Jiebo Luo, Yunde Jia |
| 2019 | Jointly Aligning Millions of Images With Deep Penalised Reconstruction Congealing. Roberto Annunziata, Christos Sagonas, Jacques Calì |
| 2019 | K-Best Transformation Synchronization. Yifan Sun, Jiacheng Zhuo, Arnav Mohan, Qixing Huang |
| 2019 | KPConv: Flexible and Deformable Convolution for Point Clouds. Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas |
| 2019 | Kernel Modeling Super-Resolution on Real Low-Resolution Images. Ruofan Zhou, Sabine Süsstrunk |
| 2019 | Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters. Axel Barroso Laguna, Edgar Riba, Daniel Ponsa, Krystian Mikolajczyk |
| 2019 | Knowledge Distillation via Route Constrained Optimization. Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu |
| 2019 | LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup. Qiao Gu, Guanzhi Wang, Mang Tik Chiu, Yu-Wing Tai, Chi-Keung Tang |
| 2019 | LAP-Net: Level-Aware Progressive Network for Image Dehazing. Yunan Li, Qiguang Miao, Wanli Ouyang, Zhenxin Ma, Huijuan Fang, Chao Dong, Yi-Ning Quan |
| 2019 | LIP: Local Importance-Based Pooling. Ziteng Gao, Limin Wang, Gangshan Wu |
| 2019 | LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis. Zhe Liu, Shunbo Zhou, Chuanzhe Suo, Peng Yin, Wen Chen, Hesheng Wang, Haoang Li, Yunhui Liu |
| 2019 | Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. Weifeng Ge, Weilin Huang, Sheng Guo, Matthew R. Scott |
| 2019 | Language Features Matter: Effective Language Representations for Vision-Language Tasks. Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer |
| 2019 | Language-Agnostic Visual-Semantic Embeddings. Jonatas Wehrmann, Maurício Armani Lopes, Douglas M. Souza, Rodrigo C. Barros |
| 2019 | Language-Conditioned Graph Networks for Relational Reasoning. Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko |
| 2019 | Laplace Landmark Localization. Joseph P. Robinson, Yuncheng Li, Ning Zhang, Yun Fu, Sergey Tulyakov |
| 2019 | Large-Scale Tag-Based Font Retrieval With Generative Feature Learning. Tianlang Chen, Zhaowen Wang, Ning Xu, Hailin Jin, Jiebo Luo |
| 2019 | Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation. Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin |
| 2019 | Layout-Induced Video Representation for Recognizing Agent-in-Place Actions. Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry Davis |
| 2019 | LayoutVAE: Stochastic Scene Layout Generation From a Label Set. Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori |
| 2019 | Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting. Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai |
| 2019 | Learnable Triangulation of Human Pose. Karim Iskakov, Egor Burkov, Victor S. Lempitsky, Yury Malkov |
| 2019 | Learned Video Compression. Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson, Lubomir D. Bourdev |
| 2019 | Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu |
| 2019 | Learning Across Tasks and Domains. Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi Di Stefano |
| 2019 | Learning Combinatorial Embedding Networks for Deep Graph Matching. Runzhong Wang, Junchi Yan, Xiaokang Yang |
| 2019 | Learning Compositional Neural Information Fusion for Human Parsing. Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang, Ling Shao |
| 2019 | Learning Compositional Representations for Few-Shot Recognition. Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert |
| 2019 | Learning Deep Priors for Image Dehazing. Yang Liu, Jinshan Pan, Jimmy S. J. Ren, Zhixun Su |
| 2019 | Learning Discriminative Model Prediction for Tracking. Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2019 | Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal |
| 2019 | Learning Filter Basis for Convolutional Neural Network Compression. Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte |
| 2019 | Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang |
| 2019 | Learning Implicit Generative Models by Matching Perceptual Features. Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin |
| 2019 | Learning Joint 2D-3D Representations for Depth Completion. Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun |
| 2019 | Learning Lightweight Lane Detection CNNs by Self Attention Distillation. Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy |
| 2019 | Learning Local Descriptors With a CDF-Based Dynamic Soft Margin. Linguang Zhang, Szymon Rusinkiewicz |
| 2019 | Learning Local RGB-to-CAD Correspondences for Object Pose Estimation. Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jana Kosecka |
| 2019 | Learning Meshes for Dense Visual SLAM. Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison |
| 2019 | Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do |
| 2019 | Learning Object-Specific Distance From a Monocular Image. Jing Zhu, Yi Fang |
| 2019 | Learning Perspective Undistortion of Portraits. Yajie Zhao, Zeng Huang, Tianye Li, Weikai Chen, Chloe LeGendre, Xinglei Ren, Ari Shapiro, Hao Li |
| 2019 | Learning Propagation for Arbitrarily-Structured Data. Sifei Liu, Xueting Li, Varun Jampani, Shalini De Mello, Jan Kautz |
| 2019 | Learning Relationships for Multi-View 3D Object Recognition. Ze Yang, Liwei Wang |
| 2019 | Learning Rich Features at High-Speed for Single-Shot Object Detection. Tiancai Wang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao |
| 2019 | Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble. Xu Zou, Sheng Zhong, Luxin Yan, Xiangyun Zhao, Jiahuan Zhou, Ying Wu |
| 2019 | Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin |
| 2019 | Learning Shape Templates With Structured Implicit Functions. Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser |
| 2019 | Learning Similarity Conditions Without Explicit Supervision. Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer |
| 2019 | Learning Single Camera Depth Estimation Using Dual-Pixels. Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron |
| 2019 | Learning Spatial Awareness to Improve Crowd Counting. Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai, Xiao Wu, Alexander G. Hauptmann |
| 2019 | Learning Temporal Action Proposals With Fewer Labels. Jingwei Ji, Kaidi Cao, Juan Carlos Niebles |
| 2019 | Learning Trajectory Dependencies for Human Motion Prediction. Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li |
| 2019 | Learning Two-View Correspondences and Geometry Using Order-Aware Network. Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Hongen Liao, Long Quan |
| 2019 | Learning With Average Precision: Training Image Retrieval With a Listwise Loss. Jérôme Revaud, Jon Almazán, Rafael S. Rezende, César Roberto de Souza |
| 2019 | Learning With Unsure Data for Medical Image Diagnosis. Botong Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang |
| 2019 | Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization. Lianbo Zhang, Shaoli Huang, Wei Liu, Dacheng Tao |
| 2019 | Learning an Effective Equivariant 3D Descriptor Without Supervision. Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano |
| 2019 | Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo. Stepan Tulyakov, François Fleuret, Martin Kiefel, Peter V. Gehler, Michael Hirsch |
| 2019 | Learning the Model Update for Siamese Trackers. Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan |
| 2019 | Learning to Assemble Neural Module Tree Networks for Visual Grounding. Daqing Liu, Hanwang Zhang, Feng Wu, Zheng-Jun Zha |
| 2019 | Learning to Caption Images Through a Lifetime by Asking Questions. Tingke Shen, Amlan Kar, Sanja Fidler |
| 2019 | Learning to Collocate Neural Modules for Image Captioning. Xu Yang, Hanwang Zhang, Jianfei Cai |
| 2019 | Learning to Discover Novel Visual Categories via Deep Transfer Clustering. Kai Han, Andrea Vedaldi, Andrew Zisserman |
| 2019 | Learning to Find Common Objects Across Few Image Collections. Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley |
| 2019 | Learning to Jointly Generate and Separate Reflections. Daiqian Ma, Renjie Wan, Boxin Shi, Alex C. Kot, Lingyu Duan |
| 2019 | Learning to Paint With Model-Based Deep Reinforcement Learning. Zhewei Huang, Shuchang Zhou, Wen Heng |
| 2019 | Learning to Rank Proposals for Object Detection. Zhiyu Tan, Xuecheng Nie, Qi Qian, Nan Li, Hao Li |
| 2019 | Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop. Nikos Kolotouros, Georgios Pavlakos, Michael J. Black, Kostas Daniilidis |
| 2019 | Learning to Reconstruct 3D Manhattan Wireframes From a Single Image. Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma |
| 2019 | Learning to See Moving Objects in the Dark. Haiyang Jiang, Yinqiang Zheng |
| 2019 | Leveraging Long-Range Temporal Relationships Between Proposals for Video Object Detection. Mykhailo Shvets, Wei Liu, Alexander C. Berg |
| 2019 | Lifelong GAN: Continual Learning for Conditional Image Generation. Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori |
| 2019 | Linearized Multi-Sampling for Differentiable Image Transformation. Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi |
| 2019 | Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. Nadav Dym, Shahar Z. Kovalsky |
| 2019 | Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao |
| 2019 | Live Face De-Identification in Video. Oran Gafni, Lior Wolf, Yaniv Taigman |
| 2019 | Local Aggregation for Unsupervised Learning of Visual Embeddings. Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins |
| 2019 | Local Relation Networks for Image Recognition. Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin |
| 2019 | Local Supports Global: Deep Camera Relocalization With Sequence Enhancement. Fei Xue, Xin Wang, Zike Yan, Qiuyuan Wang, Junqiu Wang, Hongbin Zha |
| 2019 | Localization of Deep Inpainting Using High-Pass Fully Convolutional Network. Haodong Li, Jiwu Huang |
| 2019 | Looking to Relations for Future Trajectory Forecast. Chiho Choi, Behzad Dariush |
| 2019 | M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis. Peipei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun |
| 2019 | M3D-RPN: Monocular 3D Region Proposal Network for Object Detection. Garrick Brazil, Xiaoming Liu |
| 2019 | MIC: Mining Interclass Characteristics for Improved Metric Learning. Biagio Brattoli, Karsten Roth, Björn Ommer |
| 2019 | MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding. Quan Kong, Ziming Wu, Ziwei Deng, Martin Klinkigt, Bin Tong, Tomokazu Murakami |
| 2019 | MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence. Yuan Yao, Yasamin Jafarian, Hyun Soo Park |
| 2019 | MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-Identification. Han Sun, Zhiyuan Chen, Shiyang Yan, Lin Xu |
| 2019 | MVSCRF: Learning Multi-View Stereo With Conditional Random Fields. Youze Xue, Jiansheng Chen, Weitao Wan, Yiqing Huang, Cheng Yu, Tianpeng Li, Jiayu Bao |
| 2019 | Make a Face: Towards Arbitrary High Fidelity Face Manipulation. Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He |
| 2019 | Making History Matter: History-Advantage Sequence Training for Visual Dialog. Tianhao Yang, Zheng-Jun Zha, Hanwang Zhang |
| 2019 | Making the Invisible Visible: Action Recognition Through Walls and Occlusions. Tianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu, Dina Katabi |
| 2019 | Many Task Learning With Task Routing. Gjorgji Strezoski, Nanne van Noord, Marcel Worring |
| 2019 | Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles. Nitin Saini, Eric Price, Rahul Tallamraju, Raffi Enficiaud, Roman Ludwig, Igor Martinovic, Aamir Ahmad, Michael J. Black |
| 2019 | Mask-Guided Attention Network for Occluded Pedestrian Detection. Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao |
| 2019 | Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data. Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, Pheng-Ann Heng |
| 2019 | Maximum-Margin Hamming Hashing. Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu |
| 2019 | Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel |
| 2019 | Memory-Based Neighbourhood Embedding for Visual Recognition. Suichan Li, Dapeng Chen, Bin Liu, Nenghai Yu, Rui Zhao |
| 2019 | Mesh R-CNN. Georgia Gkioxari, Justin Johnson, Jitendra Malik |
| 2019 | Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin |
| 2019 | Meta-Learning to Detect Rare Objects. Yu-Xiong Wang, Deva Ramanan, Martial Hebert |
| 2019 | Meta-Sim: Learning to Generate Synthetic Datasets. Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler |
| 2019 | MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Kwang-Ting Cheng, Jian Sun |
| 2019 | MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences. Xingyu Liu, Mengyuan Yan, Jeannette Bohg |
| 2019 | Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein |
| 2019 | Micro-Baseline Structured Light. Vishwanath Saragadam, Raja Venkata, Jian Wang, Shree K. Nayar, Mohit Gupta |
| 2019 | Minimum Delay Object Detection From Video. Dong Lao, Ganesh Sundaramoorthi |
| 2019 | Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images. Huan Wang, Luping Zhou, Lei Wang |
| 2019 | Mixed High-Order Attention Network for Person Re-Identification. Binghui Chen, Weihong Deng, Jiani Hu |
| 2019 | Mixture-Kernel Graph Attention Network for Situation Recognition. Mohammed Suhail, Leonid Sigal |
| 2019 | Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning. Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu |
| 2019 | Moment Matching for Multi-Source Domain Adaptation. Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang |
| 2019 | Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes. Fabian Brickwedde, Steffen Abraham, Rudolf Mester |
| 2019 | MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation. Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi |
| 2019 | Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking. Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal, Abhishek Sharma, Arjun Jain |
| 2019 | Monocular Neural Image Based Rendering With Continuous View Control. Jie Song, Xu Chen, Otmar Hilliges |
| 2019 | Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations. Di Yan, Henrique Morimitsu, Shan Gao, Xiangyang Ji |
| 2019 | Mop Moiré Patterns Using MopNet. Bin He, Ce Wang, Boxin Shi, Lingyu Duan |
| 2019 | Motion Guided Attention for Video Salient Object Detection. Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu |
| 2019 | Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images. Valentin Gabeur, Jean-Sébastien Franco, Xavier Martin, Cordelia Schmid, Grégory Rogez |
| 2019 | Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments. Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng |
| 2019 | Multi-Adversarial Faster-RCNN for Unrestricted Object Detection. Zhenwei He, Lei Zhang |
| 2019 | Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition. Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Shilei Wen |
| 2019 | Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker |
| 2019 | Multi-Class Part Parsing With Joint Boundary-Semantic Awareness. Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian |
| 2019 | Multi-Garment Net: Learning to Dress 3D People From Images. Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll |
| 2019 | Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting. Vishwanath Sindagi, Vishal M. Patel |
| 2019 | Multi-Modality Latent Interaction Network for Visual Question Answering. Peng Gao, Haoxuan You, Zhanpeng Zhang, Xiaogang Wang, Hongsheng Li |
| 2019 | Multi-Stage Pathological Image Classification Using Semantic Segmentation. Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada |
| 2019 | Multi-View Image Fusion. Marc Comino-Trinidad, Ricardo Martin-Brualla, Florian Kainz, Janne Kontkanen |
| 2019 | Multi-View Stereo by Temporal Nonparametric Fusion. Yuxin Hou, Juho Kannala, Arno Solin |
| 2019 | MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input. Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Sim Heng Ong, Jiashi Feng |
| 2019 | Multimodal Style Transfer via Graph Cuts. Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang |
| 2019 | Multinomial Distribution Learning for Effective Neural Architecture Search. Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian |
| 2019 | NLNL: Negative Learning for Noisy Labels. Youngdong Kim, Junho Yim, Juseung Yun, Junmo Kim |
| 2019 | NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia |
| 2019 | Neighborhood Preserving Hashing for Scalable Video Retrieval. Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou |
| 2019 | Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation. Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis, Stefanos Zafeiriou, Michael M. Bronstein |
| 2019 | Neural Inter-Frame Compression for Video Coding. Abdelaziz Djelouah, Joaquim Campos, Simone Schaub-Meyer, Christopher Schroers |
| 2019 | Neural Inverse Rendering of an Indoor Scene From a Single Image. Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz |
| 2019 | Neural Re-Simulation for Generating Bounces in Single Images. Carlo Innamorati, Bryan C. Russell, Danny M. Kaufman, Niloy J. Mitra |
| 2019 | Neural Turtle Graphics for Modeling City Road Layouts. Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler |
| 2019 | Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. Eric Brachmann, Carsten Rother |
| 2019 | New Convex Relaxations for MRF Inference With Unknown Graphs. Zhenhua Wang, Tong Liu, Qinfeng Shi, M. Pawan Kumar, Jianhua Zhang |
| 2019 | No Fear of the Dark: Image Retrieval Under Varying Illumination Conditions. Tomás Jenícek, Ondrej Chum |
| 2019 | No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques. Tanmay Gupta, Alexander G. Schwing, Derek Hoiem |
| 2019 | Noise Flow: Noise Modeling With Conditional Normalizing Flows. Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown |
| 2019 | Non-Local ConvLSTM for Video Compression Artifact Reduction. Yi Xu, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun |
| 2019 | Non-Local Intrinsic Decomposition With Near-Infrared Priors. Ziang Cheng, Yinqiang Zheng, Shaodi You, Imari Sato |
| 2019 | Non-Local Recurrent Neural Memory for Supervised Sequence Modeling. Canmiao Fu, Wenjie Pei, Qiong Cao, Chaopeng Zhang, Yong Zhao, Xiaoyong Shen, Yu-Wing Tai |
| 2019 | Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation. Yogesh Balaji, Rama Chellappa, Soheil Feizi |
| 2019 | Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts. Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao |
| 2019 | O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks. Jinchi Huang, Lie Qu, Rongfei Jia, Binqiang Zhao |
| 2019 | Object Guided External Memory Network for Video Object Detection. Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan |
| 2019 | Object-Aware Instance Labeling for Weakly Supervised Object Detection. Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa |
| 2019 | Object-Driven Multi-Layer Scene Decomposition From a Single Image. Helisa Dhamo, Nassir Navab, Federico Tombari |
| 2019 | Objects365: A Large-Scale, High-Quality Dataset for Object Detection. Shuai Shao, Zeming Li, Tianyuan Zhang, Chao Peng, Gang Yu, Xiangyu Zhang, Jing Li, Jian Sun |
| 2019 | Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network. Lingxue Song, Dihong Gong, Zhifeng Li, Changsong Liu, Wei Liu |
| 2019 | Occlusion-Aware Networks for 3D Human Pose Estimation in Video. Yu Cheng, Bo Yang, Bo Wang, Wending Yan, Robby T. Tan |
| 2019 | Occlusion-Shared and Feature-Separated Network for Occlusion Relationship Reasoning. Rui Lu, Feng Xue, Menghan Zhou, Anlong Ming, Yu Zhou |
| 2019 | Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics. Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger |
| 2019 | Omni-Scale Feature Learning for Person Re-Identification. Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang |
| 2019 | OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching. Changhee Won, Jongbin Ryu, Jongwoo Lim |
| 2019 | On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos. Zhi Li, Xuan Wang, Fei Wang, Peilin Jiang |
| 2019 | On Network Design Spaces for Visual Recognition. Ilija Radosavovic, Justin Johnson, Saining Xie, Wan-Yen Lo, Piotr Dollár |
| 2019 | On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin |
| 2019 | On the Efficacy of Knowledge Distillation. Jang Hyun Cho, Bharath Hariharan |
| 2019 | On the Global Optima of Kernelized Adversarial Representation Learning. Bashir Sadeghi, Runyi Yu, Vishnu Boddeti |
| 2019 | On the Over-Smoothing Problem of CNN Based Disparity Estimation. Chuangrong Chen, Xiaozhi Chen, Hui Cheng |
| 2019 | Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once. Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang |
| 2019 | One-Shot Neural Architecture Search via Self-Evaluated Template Network. Xuanyi Dong, Yi Yang |
| 2019 | Onion-Peel Networks for Deep Video Completion. Seoung Wug Oh, Sungho Lee, Joon-Young Lee, Seon Joo Kim |
| 2019 | Online Hyper-Parameter Learning for Auto-Augmentation Strategy. Chen Lin, Minghao Guo, Chuming Li, Xin Yuan, Wei Wu, Junjie Yan, Dahua Lin, Wanli Ouyang |
| 2019 | Online Model Distillation for Efficient Video Inference. Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian |
| 2019 | Online Unsupervised Learning of the 3D Kinematic Structure of Arbitrary Rigid Bodies. Urbano Miguel Nunes, Yiannis Demiris |
| 2019 | OperatorNet: Recovering 3D Shapes From Difference Operators. Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov |
| 2019 | Optimizing Network Structure for 3D Human Pose Estimation. Hai Ci, Chunyu Wang, Xiaoxuan Ma, Yizhou Wang |
| 2019 | Optimizing the F-Measure for Threshold-Free Salient Object Detection. Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-Ming Cheng |
| 2019 | Order-Aware Generative Modeling Using the 3D-Craft Dataset. Zhuoyuan Chen, Kavya Srinet, Charles R. Qi, Haoqi Fan, Jerry Ma, Larry Zitnick, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Arthur Szlam, Shubham Tulsiani, Haonan Yu, Jonathan Gray |
| 2019 | Order-Preserving Wasserstein Discriminant Analysis. Bing Su, Jiahuan Zhou, Ying Wu |
| 2019 | Orientation-Aware Semantic Segmentation on Icosahedron Spheres. Chao Zhang, Stephan Liwicki, William Smith, Roberto Cipolla |
| 2019 | Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee |
| 2019 | P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo. Keyang Luo, Tao Guan, Lili Ju, Haipeng Huang, Yawei Luo |
| 2019 | PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data. Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang |
| 2019 | PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng |
| 2019 | PARN: Position-Aware Relation Networks for Few-Shot Learning. Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia |
| 2019 | PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction. Amir Rasouli, Iuliia Kotseruba, Toni Kunic, John K. Tsotsos |
| 2019 | PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization. Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Hao Li, Angjoo Kanazawa |
| 2019 | PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility. Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla |
| 2019 | POD: Practical Object Detection With Scale-Sensitive Network. Junran Peng, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan |
| 2019 | PR Product: A Substitute for Inner Product in Neural Networks. Zhennan Wang, Wenbin Zou, Chen Xu |
| 2019 | PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings. Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine |
| 2019 | PU-GAN: A Point Cloud Upsampling Adversarial Network. Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng |
| 2019 | Parametric Majorization for Data-Driven Energy Minimization Methods. Jonas Geiping, Michael Moeller |
| 2019 | Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation. Christopher Zach, Guillaume Bourmaud |
| 2019 | Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and Segmentation in Video Streams. Yuning Chai |
| 2019 | Perceptual Deep Depth Super-Resolution. Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexandr Notchenko, Gleb Bobrovskikh, Evgeny Burnaev, Denis Zorin |
| 2019 | Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition. Xiaofeng Liu, Zhenhua Guo, Site Li, Ping Jia, Lingsheng Kong, Jane You, B. V. K. Vijaya Kumar |
| 2019 | Person Search by Text Attribute Query As Zero-Shot Learning. Qi Dong, Xiatian Zhu, Shaogang Gong |
| 2019 | Person-in-WiFi: Fine-Grained Person Perception Using WiFi. Fei Wang, Sanping Zhou, Stanislav Panev, Jinsong Han, Dong Huang |
| 2019 | Personalized Fashion Design. Cong Yu, Yang Hu, Yan Chen, Bing Zeng |
| 2019 | Perspective-Guided Convolution Networks for Crowd Counting. Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding |
| 2019 | Photo-Realistic Facial Details Synthesis From Single Image. Anpei Chen, Zhang Chen, Guli Zhang, Kenny Mitchell, Jingyi Yu |
| 2019 | Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks. Zhe He, Adrian Spurr, Xucong Zhang, Otmar Hilliges |
| 2019 | Photorealistic Style Transfer via Wavelet Transforms. Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha |
| 2019 | Phrase Localization Without Paired Training Examples. Josiah Wang, Lucia Specia |
| 2019 | Physical Adversarial Textures That Fool Visual Object Tracking. Rey Wiyatno, Anqi Xu |
| 2019 | Physics-Based Rendering for Improving Robustness to Rain. Shirsendu Sukanta Halder, Jean-François Lalonde, Raoul de Charette |
| 2019 | Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation. Kiru Park, Timothy Patten, Markus Vincze |
| 2019 | Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images. Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Shengping Zhang |
| 2019 | Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. Chao Wen, Yinda Zhang, Zhuwen Li, Yanwei Fu |
| 2019 | Point-Based Multi-View Stereo Network. Rui Chen, Songfang Han, Jing Xu, Hao Su |
| 2019 | Point-to-Point Video Generation. Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun |
| 2019 | PointAE: Point Auto-Encoder for 3D Statistical Shape and Texture Modelling. Hang Dai, Ling Shao |
| 2019 | PointCloud Saliency Maps. Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Li, Kui Ren |
| 2019 | PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows. Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge J. Belongie, Bharath Hariharan |
| 2019 | Polarimetric Relative Pose Estimation. Zhaopeng Cui, Viktor Larsson, Marc Pollefeys |
| 2019 | Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection. Bo Wan, Desen Zhou, Yongfei Liu, Rongjie Li, Xuming He |
| 2019 | Pose-Guided Feature Alignment for Occluded Person Re-Identification. Jiaxu Miao, Yu Wu, Ping Liu, Yuhang Ding, Yi Yang |
| 2019 | Predicting 3D Human Dynamics From Video. Jason Y. Zhang, Panna Felsen, Angjoo Kanazawa, Jitendra Malik |
| 2019 | Predicting the Future: A Jointly Learnt Model for Action Anticipation. Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes |
| 2019 | Presence-Only Geographical Priors for Fine-Grained Image Classification. Oisin Mac Aodha, Elijah Cole, Pietro Perona |
| 2019 | Prior Guided Dropout for Robust Visual Localization in Dynamic Environments. Zhaoyang Huang, Yan Xu, Jianping Shi, Xiaowei Zhou, Hujun Bao, Guofeng Zhang |
| 2019 | Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. Yuyin Zhou, Zhe Li, Song Bai, Xinlei Chen, Mei Han, Chong Wang, Elliot K. Fishman, Alan L. Yuille |
| 2019 | Privacy Preserving Image Queries for Camera Localization. Pablo Speciale, Johannes L. Schönberger, Sudipta N. Sinha, Marc Pollefeys |
| 2019 | Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance From Motion. Chunyu Li, Yusuke Monno, Hironori Hidaka, Masatoshi Okutomi |
| 2019 | Probabilistic Deep Ordinal Regression Based on Gaussian Processes. Yanzhu Liu, Fan Wang, Adams Wai-Kin Kong |
| 2019 | Probabilistic Face Embeddings. Yichun Shi, Anil K. Jain |
| 2019 | Program-Guided Image Manipulators. Xiuming Zhang, Jiayuan Mao, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2019 | Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation. Xin Chen, Lingxi Xie, Jun Wu, Qi Tian |
| 2019 | Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations. Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma |
| 2019 | Progressive Reconstruction of Visual Structure for Image Inpainting. Jingyuan Li, Fengxiang He, Lefei Zhang, Bo Du, Dacheng Tao |
| 2019 | Progressive Sparse Local Attention for Video Object Detection. Chaoxu Guo, Bin Fan, Jie Gu, Qian Zhang, Shiming Xiang, Véronique Prinet, Chunhong Pan |
| 2019 | Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm. Dániel Baráth, Jiri Matas |
| 2019 | Proximal Mean-Field for Neural Network Quantization. Thalaiyasingam Ajanthan, Puneet K. Dokania, Richard Hartley, Philip H. S. Torr |
| 2019 | PuppetGAN: Cross-Domain Image Manipulation by Demonstration. Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler |
| 2019 | Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method. Vishwanath Sindagi, Rajeev Yasarla, Vishal M. Patel |
| 2019 | Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation. Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao |
| 2019 | QUARCH: A New Quasi-Affine Reconstruction Stratum From Vague Relative Camera Orientation Knowledge. Devesh Adlakha, Adlane Habed, Fabio Morbidi, Cédric Demonceaux, Michel de Mathelin |
| 2019 | Quasi-Globally Optimal and Efficient Vanishing Point Estimation in Manhattan World. Haoang Li, Ji Zhao, Jean-Charles Bazin, Wen Chen, Zhe Liu, Yunhui Liu |
| 2019 | RANet: Ranking Attention Network for Fast Video Object Segmentation. Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao |
| 2019 | RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou |
| 2019 | RIO: 3D Object Instance Re-Localization in Changing Indoor Environments. Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Nießner |
| 2019 | Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network. Mei Wang, Weihong Deng, Jiani Hu, Xunqiang Tao, Yaohai Huang |
| 2019 | RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect. Ruoteng Li, Robby T. Tan, Loong Fah Cheong, Angelica I. Avilés-Rivero, Qingnan Fan, Carola Schönlieb |
| 2019 | RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution. Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao |
| 2019 | Re-ID Driven Localization Refinement for Person Search. Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang |
| 2019 | Real Image Denoising With Feature Attention. Saeed Anwar, Nick Barnes |
| 2019 | Reasoning About Human-Object Interactions Through Dual Attention Networks. Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou |
| 2019 | Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu |
| 2019 | Recognizing Part Attributes With Insufficient Data. Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu |
| 2019 | Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang |
| 2019 | Recurrent U-Net for Resource-Constrained Segmentation. Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann |
| 2019 | Recursive Cascaded Networks for Unsupervised Medical Image Registration. Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu |
| 2019 | Recursive Visual Sound Separation Using Minus-Plus Net. Xudong Xu, Bo Dai, Dahua Lin |
| 2019 | Reflective Decoding Network for Image Captioning. Lei Ke, Wenjie Pei, Ruiyu Li, Xiaoyong Shen, Yu-Wing Tai |
| 2019 | RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. Yu-Jing Lin, Po-Wei Wu, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao |
| 2019 | Relation Distillation Networks for Video Object Detection. Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, Tao Mei |
| 2019 | Relation Parsing Neural Network for Human-Object Interaction Detection. Penghao Zhou, Mingmin Chi |
| 2019 | Relation-Aware Graph Attention Network for Visual Question Answering. Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu |
| 2019 | Relational Attention Network for Crowd Counting. Anran Zhang, Jiayi Shen, Zehao Xiao, Fan Zhu, Xiantong Zhen, Xianbin Cao, Ling Shao |
| 2019 | Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement. Zitong Yu, Wei Peng, Xiaobai Li, Xiaopeng Hong, Guoying Zhao |
| 2019 | RepPoints: Point Set Representation for Object Detection. Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Stephen Lin |
| 2019 | Rescan: Inductive Instance Segmentation for Indoor RGBD Scans. Maciej Halber, Yifei Shi, Kai Xu, Thomas A. Funkhouser |
| 2019 | Resolving 3D Human Pose Ambiguities With 3D Scene Constraints. Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, Michael J. Black |
| 2019 | Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? Yunyang Xiong, Ronak Mehta, Vikas Singh |
| 2019 | Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations. Jerin Geo James, Pranay Agrawal, Ajit Rajwade |
| 2019 | Rethinking ImageNet Pre-Training. Kaiming He, Ross B. Girshick, Piotr Dollár |
| 2019 | Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective. Kai Li, Martin Renqiang Min, Yun Fu |
| 2019 | Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data. Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung |
| 2019 | Revisiting Radial Distortion Absolute Pose. Viktor Larsson, Torsten Sattler, Zuzana Kukelova, Marc Pollefeys |
| 2019 | Robust Change Captioning. Dong Huk Park, Trevor Darrell, Anna Rohrbach |
| 2019 | Robust Motion Segmentation From Pairwise Matches. Federica Arrigoni, Tomás Pajdla |
| 2019 | Robust Multi-Modality Multi-Object Tracking. Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, Chen Change Loy |
| 2019 | Robust Person Re-Identification by Modelling Feature Uncertainty. Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang |
| 2019 | Robust Variational Bayesian Point Set Registration. Jie Zhou, Xinke Ma, Li Liang, Liu Yuhe, Shijin Xu, Sim Heng Ong, Yang Yang |
| 2019 | S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among Individuals. Zhenliang He, Meina Kan, Shiguang Shan, Xilin Chen |
| 2019 | S4L: Self-Supervised Semi-Supervised Learning. Lucas Beyer, Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov |
| 2019 | SANet: Scene Agnostic Network for Camera Localization. Luwei Yang, Ziqian Bai, Chengzhou Tang, Honghua Li, Yasutaka Furukawa, Ping Tan |
| 2019 | SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification. Yan Huang, Qiang Wu, Jingsong Xu, Yi Zhong |
| 2019 | SC-FEGAN: Face Editing Generative Adversarial Network With User's Sketch and Color. Youngjoo Jo, Jongyoul Park |
| 2019 | SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects. Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, Kun Fu |
| 2019 | SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition. Bruno Korbar, Du Tran, Lorenzo Torresani |
| 2019 | SENSE: A Shared Encoder Network for Scene-Flow Estimation. Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik G. Learned-Miller, Jan Kautz |
| 2019 | SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling. David Berga, Xosé Ramón Fernández-Vidal, Xavier Otazu, Xosé M. Pardo |
| 2019 | SILCO: Show a Few Images, Localize the Common Object. Tao Hu, Pascal Mettes, Jia-Hong Huang, Cees Snoek |
| 2019 | SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning. Yung-Han Ho, Chuan-Yuan Cho, Guo-Lun Jin, Wen-Hsiao Peng |
| 2019 | SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning. Yujin Chen, Zhigang Tu, Liuhao Ge, Dejun Zhang, Ruizhi Chen, Junsong Yuan |
| 2019 | SPGNet: Semantic Prediction Guidance for Scene Parsing. Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi |
| 2019 | SPLINE-Net: Sparse Photometric Stereo Through Lighting Interpolation and Normal Estimation Networks. Qian Zheng, Yiming Jia, Boxin Shi, Xudong Jiang, Lingyu Duan, Alex C. Kot |
| 2019 | SRM: A Style-Based Recalibration Module for Convolutional Neural Networks. HyunJae Lee, Hyo-Eun Kim, Hyeonseob Nam |
| 2019 | SROBB: Targeted Perceptual Loss for Single Image Super-Resolution. Mohammad Saeed Rad, Behzad Bozorgtabar, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran |
| 2019 | SSAP: Single-Shot Instance Segmentation With Affinity Pyramid. Naiyu Gao, Yanhu Shan, Yupei Wang, Xin Zhao, Yinan Yu, Ming Yang, Kaiqi Huang |
| 2019 | SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation. Liang Du, Jingang Tan, Hongye Yang, Jianfeng Feng, Xiangyang Xue, Qibao Zheng, Xiaoqing Ye, Xiaolin Zhang |
| 2019 | STD: Sparse-to-Dense 3D Object Detector for Point Cloud. Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia |
| 2019 | STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction. Yingfan Huang, Huikun Bi, Zhaoxin Li, Tianlu Mao, Zhaoqi Wang |
| 2019 | STM: SpatioTemporal and Motion Encoding for Action Recognition. Boyuan Jiang, Mengmeng Wang, Weihao Gan, Wei Wu, Junjie Yan |
| 2019 | SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval. Qing-Yuan Jiang, Yi He, Gen Li, Jian Lin, Lei Li, Wu-Jun Li |
| 2019 | Saliency-Guided Attention Network for Image-Sentence Matching. Zhong Ji, Haoran Wang, Jungong Han, Yanwei Pang |
| 2019 | Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization. Jing Lu, Chaofan Xu, Wei Zhang, Lingyu Duan, Tao Mei |
| 2019 | Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation. Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari |
| 2019 | Scalable Place Recognition Under Appearance Change for Autonomous Driving. Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid |
| 2019 | Scalable Verified Training for Provably Robust Image Classification. Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Arthur Mann, Pushmeet Kohli |
| 2019 | Scale-Aware Trident Networks for Object Detection. Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang |
| 2019 | Scaling Object Detection by Transferring Classification Weights. Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan |
| 2019 | Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains. Ronak Mehta, Rudrasis Chakraborty, Vikas Singh, Yunyang Xiong |
| 2019 | Scaling and Benchmarking Self-Supervised Visual Representation Learning. Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra |
| 2019 | Scene Graph Prediction With Limited Labels. Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei |
| 2019 | Scene Text Visual Question Answering. Ali Furkan Biten, Rubèn Tito, Andrés Mafla, Lluís Gómez i Bigorda, Marçal Rusiñol, C. V. Jawahar, Ernest Valveny, Dimosthenis Karatzas |
| 2019 | SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation. Yang Zhou, Zachary While, Evangelos Kalogerakis |
| 2019 | Scoot: A Perceptual Metric for Facial Sketches. Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji |
| 2019 | Searching for MobileNetV3. Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu |
| 2019 | Second-Order Non-Local Attention Networks for Person Re-Identification. Bryan Bryan, Yuan Gong, Yizhe Zhang, Christian Poellabauer |
| 2019 | See-Through-Text Grouping for Referring Image Segmentation. Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2019 | Seeing Motion in the Dark. Chen Chen, Qifeng Chen, Minh N. Do, Vladlen Koltun |
| 2019 | Seeing What a GAN Cannot Generate. David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Bolei Zhou, Hendrik Strobelt, Antonio Torralba |
| 2019 | SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao |
| 2019 | SegSort: Segmentation by Discriminative Sorting of Segments. Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen |
| 2019 | Selective Sparse Sampling for Fine-Grained Image Recognition. Yao Ding, Yanzhao Zhou, Yi Zhu, Qixiang Ye, Jianbin Jiao |
| 2019 | Selectivity or Invariance: Boundary-Aware Salient Object Detection. Jinming Su, Jia Li, Yu Zhang, Changqun Xia, Yonghong Tian |
| 2019 | Self-Critical Attention Learning for Person Re-Identification. Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, Jie Zhou |
| 2019 | Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation. Jaehoon Choi, Taekyung Kim, Changick Kim |
| 2019 | Self-Guided Network for Fast Image Denoising. Shuhang Gu, Yawei Li, Luc Van Gool, Radu Timofte |
| 2019 | Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification. Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas S. Huang |
| 2019 | Self-Supervised Deep Depth Denoising. Vladimiros Sterzentsenko, Leonidas Saroglou, Anargyros Chatzitofis, Spiros Thermos, Nikolaos Zioulis, Alexandros Doumanoglou, Dimitrios Zarpalas, Petros Daras |
| 2019 | Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation. Wataru Shimoda, Keiji Yanai |
| 2019 | Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera. Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu |
| 2019 | Self-Supervised Monocular Depth Hints. Jamie Watson, Michael Firman, Gabriel J. Brostow, Daniyar Turmukhambetov |
| 2019 | Self-Supervised Moving Vehicle Tracking With Stereo Sound. Chuang Gan, Hang Zhao, Peihao Chen, David D. Cox, Antonio Torralba |
| 2019 | Self-Supervised Representation Learning From Multi-Domain Data. Zeyu Feng, Chang Xu, Dacheng Tao |
| 2019 | Self-Supervised Representation Learning via Neighborhood-Relational Encoding. Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli |
| 2019 | Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification. Xinyu Zhang, Jiewei Cao, Chunhua Shen, Mingyu You |
| 2019 | Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim |
| 2019 | Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde |
| 2019 | Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data. Yutong Bai, Qing Liu, Lingxi Xie, Yan Zheng, Weichao Qiu, Alan L. Yuille |
| 2019 | Semantic Stereo Matching With Pyramid Cost Volumes. Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang, Lili Ju |
| 2019 | Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval. Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille |
| 2019 | Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation. Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou |
| 2019 | SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Jürgen Gall |
| 2019 | Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis. Hongchen Tan, Xiuping Liu, Xin Li, Yi Zhang, Baocai Yin |
| 2019 | Semi-Supervised Domain Adaptation via Minimax Entropy. Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko |
| 2019 | Semi-Supervised Learning by Augmented Distribution Alignment. Qin Wang, Wen Li, Luc Van Gool |
| 2019 | Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer. Jingtan Piao, Chen Qian, Hongsheng Li |
| 2019 | Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong |
| 2019 | Semi-Supervised Skin Detection by Network With Mutual Guidance. Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang |
| 2019 | Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin |
| 2019 | Seq-SG2SL: Inferring Semantic Layout From Scene Graph Through Sequence to Sequence Learning. Boren Li, Boyu Zhuang, Mingyang Li, Jian Gu |
| 2019 | Sequence Level Semantics Aggregation for Video Object Detection. Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang |
| 2019 | Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry. Shunkai Li, Fei Xue, Xin Wang, Zike Yan, Hongbin Zha |
| 2019 | Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning. Jyoti Aneja, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing |
| 2019 | Shadow Removal via Shadow Image Decomposition. Hieu Le, Dimitris Samaras |
| 2019 | Shape Reconstruction Using Differentiable Projections and Deep Priors. Matheus Gadelha, Rui Wang, Subhransu Maji |
| 2019 | Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images. Junbang Liang, Ming C. Lin |
| 2019 | ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin |
| 2019 | Shapeglot: Learning Language for Shape Differentiation. Panos Achlioptas, Leonidas J. Guibas, Noah D. Goodman, Judy Fan, Robert X. D. Hawkins |
| 2019 | Sharpen Focus: Learning With Attention Separability and Consistency. Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas |
| 2019 | ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics. Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung |
| 2019 | Siamese Networks: The Tale of Two Manifolds. Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard I. Hartley |
| 2019 | Significance-Aware Information Bottleneck for Domain Adaptive Semantic Segmentation. Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang |
| 2019 | Similarity-Preserving Knowledge Distillation. Frederick Tung, Greg Mori |
| 2019 | Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints. Ahmed Samy Nassar, Sébastien Lefèvre, Jan Dirk Wegner |
| 2019 | SinGAN: Learning a Generative Model From a Single Natural Image. Tamar Rott Shaham, Tali Dekel, Tomer Michaeli |
| 2019 | Single-Network Whole-Body Pose Estimation. Gines Hidalgo Martinez, Yaadhav Raaj, Haroon Idrees, Donglai Xiang, Hanbyul Joo, Tomas Simon, Yaser Sheikh |
| 2019 | Single-Stage Multi-Person Pose Machines. Xuecheng Nie, Jiashi Feng, Jianfeng Zhang, Shuicheng Yan |
| 2019 | Situational Fusion of Visual Representation for Visual Navigation. William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese |
| 2019 | Skeleton-Aware 3D Human Shape Reconstruction From Point Clouds. Haiyong Jiang, Jianfei Cai, Jianmin Zheng |
| 2019 | SkyScapes - Fine-Grained Semantic Understanding of Aerial Scenes. Seyed Majid Azimi, Corentin Henry, Lars Sommer, Arne Schumann, Eleonora Vig |
| 2019 | SlowFast Networks for Video Recognition. Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He |
| 2019 | Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi |
| 2019 | Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning. Shichen Liu, Weikai Chen, Tianye Li, Hao Li |
| 2019 | SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin |
| 2019 | Solving Vision Problems via Filtering. Sean I. Young, Aous Thabit Naman, Bernd Girod, David Taubman |
| 2019 | SpaceNet MVOI: A Multi-View Overhead Imagery Dataset. Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Varun Kumar Vijay, Sean McPherson, Jacob Shermeyer, Hanlin Tang |
| 2019 | Sparse and Imperceivable Adversarial Attacks. Francesco Croce, Matthias Hein |
| 2019 | SparseMask: Differentiable Connectivity Learning for Dense Image Prediction. Huikai Wu, Junge Zhang, Kaiqi Huang |
| 2019 | Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos. Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang, Lili Ju |
| 2019 | Spatial-Temporal Relation Networks for Multi-Object Tracking. Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu |
| 2019 | SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. Kaiyu Yang, Olga Russakovsky, Jia Deng |
| 2019 | Spatio-Temporal Filter Adaptive Network for Video Deblurring. Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Wangmeng Zuo, Haozhe Xie, Jimmy S. J. Ren |
| 2019 | Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading. Xingxuan Zhang, Feng Cheng, Shilin Wang |
| 2019 | Spatiotemporal Feature Residual Propagation for Action Prediction. He Zhao, Rick Wildes |
| 2019 | Specifying Object Attributes and Relations in Interactive Scene Generation. Oron Ashual, Lior Wolf |
| 2019 | Spectral Feature Transformation for Person Re-Identification. Chuanchen Luo, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang |
| 2019 | Spectral Regularization for Combating Mode Collapse in GANs. Kanglin Liu, Guoping Qiu, Wenming Tang, Fei Zhou |
| 2019 | SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation. Daniel Gordon, Abhishek Kadian, Devi Parikh, Judy Hoffman, Dhruv Batra |
| 2019 | Stacked Cross Refinement Network for Edge-Aware Salient Object Detection. Zhe Wu, Li Su, Qingming Huang |
| 2019 | StartNet: Online Detection of Action Start in Untrimmed Videos. Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong |
| 2019 | Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization. Liu Liu, Hongdong Li, Yuchao Dai |
| 2019 | Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference. Jongho Lee, Mohit Gupta |
| 2019 | Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso |
| 2019 | StructureFlow: Image Inpainting via Structure-Aware Appearance Flow. Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li |
| 2019 | Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao |
| 2019 | Structured Prediction Helps 3D Human Motion Modelling. Emre Aksan, Manuel Kaufmann, Otmar Hilliges |
| 2019 | Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering. Masataka Yamaguchi, Go Irie, Takahito Kawanishi, Kunio Kashino |
| 2019 | Surface Networks via General Covers. Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman |
| 2019 | Surface Normals and Shape From Water. Satoshi Murai, Meng-Yu Kuo, Ryo Kawahara, Shohei Nobuhara, Ko Nishino |
| 2019 | Switchable Whitening for Deep Representation Learning. Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo |
| 2019 | Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation. Simyung Chang, Seonguk Park, John Yang, Nojun Kwak |
| 2019 | Symmetric Cross Entropy for Robust Learning With Noisy Labels. Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey |
| 2019 | Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning. Jiwoong Park, Minsik Lee, Hyung Jin Chang, Kyuewang Lee, Jin Young Choi |
| 2019 | Symmetry-Constrained Rectification Network for Scene Text Recognition. Mingkun Yang, Yushuo Guan, Minghui Liao, Xin He, Kaigui Bian, Song Bai, Cong Yao, Xiang Bai |
| 2019 | SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion. Behzad Bozorgtabar, Mohammad Saeed Rad, Dwarikanath Mahapatra, Jean-Philippe Thiran |
| 2019 | TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. Andrea Romanoni, Matteo Matteucci |
| 2019 | TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection. Kyle Min, Jason J. Corso |
| 2019 | TRB: A Novel Triplet Representation for Understanding 2D Human Body. Haodong Duan, Kwan-Yee Lin, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang |
| 2019 | TSM: Temporal Shift Module for Efficient Video Understanding. Ji Lin, Chuang Gan, Song Han |
| 2019 | Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo |
| 2019 | Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. Ramprasaath Ramasamy Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry P. Heck, Dhruv Batra, Devi Parikh |
| 2019 | Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis. Gilwoo Lee, Zhiwei Deng, Shugao Ma, Takaaki Shiratori, Siddhartha S. Srinivasa, Yaser Sheikh |
| 2019 | Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower. Giorgos Tolias, Filip Radenovic, Ondrej Chum |
| 2019 | Task-Driven Modular Networks for Zero-Shot Compositional Learning. Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato |
| 2019 | Task2Vec: Task Embedding for Meta-Learning. Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona |
| 2019 | Teacher Guided Architecture Search. Pouya Bashivan, Mark Tensen, James J. DiCarlo |
| 2019 | Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection. Xuanyi Dong, Yi Yang |
| 2019 | Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor |
| 2019 | Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen, Jian Zheng |
| 2019 | Temporal Knowledge Propagation for Image-to-Video Person Re-Identification. Xinqian Gu, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen |
| 2019 | Temporal Recurrent Networks for Online Action Detection. Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry Davis, David J. Crandall |
| 2019 | Temporal Structure Mining for Weakly Supervised Action Detection. Tan Yu, Zhou Ren, Yuncheng Li, Enxu Yan, Ning Xu, Junsong Yuan |
| 2019 | TensorMask: A Foundation for Dense Object Segmentation. Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár |
| 2019 | Tex2Shape: Detailed Full Human Body Geometry From a Single Image. Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus A. Magnor |
| 2019 | TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting. Wei Feng, Wenhao He, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu |
| 2019 | TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts. Ziyang Hong, Yvan R. Petillot, David Lane, Yishu Miao, Sen Wang |
| 2019 | Texture Fields: Learning Texture Representations in Function Space. Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger |
| 2019 | TexturePose: Supervising Human Mesh Estimation With Texture Consistency. Georgios Pavlakos, Nikos Kolotouros, Kostas Daniilidis |
| 2019 | The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information. Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman |
| 2019 | The Sound of Motions. Hang Zhao, Chuang Gan, Wei-Chiu Ma, Antonio Torralba |
| 2019 | The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs. Boris Ivanovic, Marco Pavone |
| 2019 | Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images "In the Wild". Silvia Zuffi, Angjoo Kanazawa, Tanya Y. Berger-Wolf, Michael J. Black |
| 2019 | Through-Wall Human Mesh Recovery Using Radio Signals. Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao, Tianhong Li, Antonio Torralba, Dina Katabi |
| 2019 | ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices. Zheng Qin, Zeming Li, Zhaoning Zhang, Yiping Bao, Gang Yu, Yuxing Peng, Jian Sun |
| 2019 | Topological Map Extraction From Overhead Images. Zuoyue Li, Jan Dirk Wegner, Aurélien Lucchi |
| 2019 | Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning. Pedro Hermosilla Casajus, Tobias Ritschel, Timo Ropinski |
| 2019 | Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model. Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, Lei Zhang |
| 2019 | Towards Adversarially Robust Object Detection. Haichao Zhang, Jianyu Wang |
| 2019 | Towards Bridging Semantic Gap to Improve Semantic Segmentation. Yanwei Pang, Yazhao Li, Jianbing Shen, Ling Shao |
| 2019 | Towards High-Resolution Salient Object Detection. Yi Zeng, Pingping Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu |
| 2019 | Towards Interpretable Face Recognition. Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu |
| 2019 | Towards Interpretable Object Detection by Unfolding Latent Structures. Tianfu Wu, Xi Song |
| 2019 | Towards Latent Attribute Discovery From Triplet Similarities. Ishan Nigam, Pavel Tokmakov, Deva Ramanan |
| 2019 | Towards Multi-Pose Guided Virtual Try-On Network. Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin |
| 2019 | Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Images. Salman Siddique Khan, Adarsh V. R, Vivek Boominathan, Jasper Tan, Ashok Veeraraghavan, Kaushik Mitra |
| 2019 | Towards Precise End-to-End Weakly Supervised Object Detection Network. Ke Yang, Dongsheng Li, Yong Dou |
| 2019 | Towards Unconstrained End-to-End Text Spotting. Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao |
| 2019 | Towards Unsupervised Image Captioning With Shared Multimodal Embeddings. Iro Laina, Christian Rupprecht, Nassir Navab |
| 2019 | Toyota Smarthome: Real-World Activities of Daily Living. Srijan Das, Rui Dai, Michal Koperski, Luca Minciullo, Lorenzo Garattoni, François Brémond, Gianpiero Francesca |
| 2019 | Tracking Without Bells and Whistles. Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé |
| 2019 | Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. Limeng Qiao, Yemin Shi, Jia Li, Yonghong Tian, Tiejun Huang, Yaowei Wang |
| 2019 | Transductive Learning for Zero-Shot Object Detection. Shafin Rahman, Salman H. Khan, Nick Barnes |
| 2019 | Transferability and Hardness of Supervised Classification Tasks. Anh Tuan Tran, Cuong V. Nguyen, Tal Hassner |
| 2019 | Transferable Contrastive Network for Generalized Zero-Shot Learning. Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen |
| 2019 | Transferable Representation Learning in Vision-and-Language Navigation. Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhães, Jason Baldridge, Eugene Ie |
| 2019 | Transferable Semi-Supervised 3D Object Detection From RGB-D Data. Yew Siang Tang, Gim Hee Lee |
| 2019 | Transformable Bottleneck Networks. Kyle Olszewski, Sergey Tulyakov, Oliver J. Woodford, Hao Li, Linjie Luo |
| 2019 | Two-Stream Action Recognition-Oriented Video Super-Resolution. Haochen Zhang, Dong Liu, Zhiwei Xiong |
| 2019 | U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps. Badri N. Patro, Mayank Lunayach, Shivansh Patel, Vinay P. Namboodiri |
| 2019 | U4D: Unsupervised 4D Dynamic Scene Understanding. Armin Mustafa, Chris Russell, Adrian Hilton |
| 2019 | UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. Jogendra Nath Kundu, Nishank Lakkakula, Venkatesh Babu Radhakrishnan |
| 2019 | USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds. Jiaxin Li, Gim Hee Lee |
| 2019 | Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition. Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen, Boyu Lu, Carlos Domingo Castillo, Rama Chellappa |
| 2019 | Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference. Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang |
| 2019 | Unconstrained Foreground Object Search. Yinan Zhao, Brian L. Price, Scott Cohen, Danna Gurari |
| 2019 | Unconstrained Motion Deblurring for Dual-Lens Cameras. Mahesh Mohan M. R., Sharath Girish, Rajagopalan Ambasamudram |
| 2019 | Understanding Deep Networks via Extremal Perturbations and Smooth Masks. Ruth Fong, Mandela Patrick, Andrea Vedaldi |
| 2019 | Understanding Generalized Whitening and Coloring Transform for Universal Style Transfer. Tai-Yin Chiu |
| 2019 | Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning. Lifeng Fan, Wenguan Wang, Song-Chun Zhu, Xinyu Tang, Siyuan Huang |
| 2019 | Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation. Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang |
| 2019 | Universal Perturbation Attack Against Image Retrieval. Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao, Qi Tian |
| 2019 | Universal Semi-Supervised Semantic Segmentation. Tarun Kalluri, Girish Varma, Manmohan Chandraker, C. V. Jawahar |
| 2019 | Universally Slimmable Networks and Improved Training Techniques. Jiahui Yu, Thomas S. Huang |
| 2019 | Unpaired Image Captioning via Scene Graph Alignments. Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang |
| 2019 | Unpaired Image-to-Speech Synthesis With Multimodal Information Bottleneck. Shuang Ma, Daniel McDuff, Yale Song |
| 2019 | Unsupervised 3D Reconstruction Networks. Geonho Cha, Minsik Lee, Songhwai Oh |
| 2019 | Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM. Lu Sheng, Dan Xu, Wanli Ouyang, Xiaogang Wang |
| 2019 | Unsupervised Deep Learning for Structured Shape Matching. Jean-Michel Roufosse, Abhishek Sharma, Maks Ovsjanikov |
| 2019 | Unsupervised Domain Adaptation via Regularized Conditional Alignment. Safa Cicek, Stefano Soatto |
| 2019 | Unsupervised Graph Association for Person Re-Identification. Jinlin Wu, Hao Liu, Yang Yang, Zhen Lei, Shengcai Liao, Stan Z. Li |
| 2019 | Unsupervised High-Resolution Depth Learning From Videos With Dual Networks. Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng |
| 2019 | Unsupervised Learning of Landmarks by Descriptor Vector Exchange. James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi |
| 2019 | Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network. Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder |
| 2019 | Unsupervised Multi-Task Feature Learning on Point Clouds. Kaveh Hassani, Mike Haley |
| 2019 | Unsupervised Neural Quantization for Compressed-Domain Similarity Search. Stanislav Morozov, Artem Babenko |
| 2019 | Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy. Qing Yu, Kiyoharu Aizawa |
| 2019 | Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning. Ancong Wu, Wei-Shi Zheng, Jian-Huang Lai |
| 2019 | Unsupervised Pre-Training of Image Features on Non-Curated Data. Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin |
| 2019 | Unsupervised Procedure Learning via Joint Dynamic Summarization. Ehsan Elhamifar, Zwe Naing |
| 2019 | Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. Patrick Esser, Johannes Haux, Björn Ommer |
| 2019 | Unsupervised Video Interpolation Using Cycle Consistency. Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro |
| 2019 | UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images. Wenqi Xian, Zhengqi Li, Noah Snavely, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman |
| 2019 | VTNFP: An Image-Based Virtual Try-On Network With Body and Clothing Feature Preservation. Ruiyun Yu, Xiaoqi Wang, Xiaohui Xie |
| 2019 | VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation. Hsien-Yu Meng, Lin Gao, Yu-Kun Lai, Dinesh Manocha |
| 2019 | VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. Xin Wang, Jiawei Wu, Jun-Kun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang |
| 2019 | Variable Rate Deep Image Compression With a Conditional Autoencoder. Yoojin Choi, Mostafa El-Khamy, Jungwon Lee |
| 2019 | Variational Adversarial Active Learning. Samarth Sinha, Sayna Ebrahimi, Trevor Darrell |
| 2019 | Variational Few-Shot Learning. Jian Zhang, Chenglong Zhao, Bingbing Ni, Minghao Xu, Xiaokang Yang |
| 2019 | Variational Uncalibrated Photometric Stereo Under General Lighting. Zhenzhang Ye, Bjoern Haefner, Maolin Gao, Tao Wu, Yvain Quéau, Daniel Cremers |
| 2019 | Vehicle Re-Identification With Viewpoint-Aware Metric Learning. Ruihang Chu, Yifan Sun, Yadong Li, Zheng Liu, Chi Zhang, Yichen Wei |
| 2019 | Vehicle Re-Identification in Aerial Imagery: Dataset and Approach. Peng Wang, Bingliang Jiao, Lu Yang, Yifei Yang, Shizhou Zhang, Wei Wei, Yanning Zhang |
| 2019 | Very Long Natural Scenery Image Prediction by Outpainting. Zongxin Yang, Jian Dong, Ping Liu, Yi Yang, Shuicheng Yan |
| 2019 | ViCo: Word Embeddings From Visual Co-Occurrences. Tanmay Gupta, Alexander G. Schwing, Derek Hoiem |
| 2019 | ViSiL: Fine-Grained Spatio-Temporal Video Similarity Learning. Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Yiannis Kompatsiaris |
| 2019 | Video Classification With Channel-Separated Convolutional Networks. Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani |
| 2019 | Video Compression With Rate-Distortion Autoencoders. Amirhossein Habibian, Ties van Rozendaal, Jakub M. Tomczak, Taco Cohen |
| 2019 | Video Face Clustering With Unknown Number of Clusters. Makarand Tapaswi, Marc T. Law, Sanja Fidler |
| 2019 | Video Instance Segmentation. Linjie Yang, Yuchen Fan, Ning Xu |
| 2019 | Video Object Segmentation Using Space-Time Memory Networks. Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim |
| 2019 | VideoBERT: A Joint Model for Video and Language Representation Learning. Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid |
| 2019 | VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability. Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Martin Engilberge |
| 2019 | View Confusion Feature Learning for Person Re-Identification. Fangyi Liu, Lei Zhang |
| 2019 | View Independent Generative Adversarial Network for Novel View Synthesis. Xiaogang Xu, Ying-Cong Chen, Jiaya Jia |
| 2019 | View N-Gram Network for 3D Object Retrieval. Xinwei He, Tengteng Huang, Song Bai, Xiang Bai |
| 2019 | View-Consistent 4D Light Field Superpixel Segmentation. Numair Khan, Qian Zhang, Lucas Kasser, Henry Stone, Min H. Kim, James Tompkin |
| 2019 | View-LSTM: Novel-View Video Synthesis Through View Decomposition. Mohamed Ilyes Lakhal, Oswald Lanz, Andrea Cavallaro |
| 2019 | Vision-Infused Deep Audio Inpainting. Hang Zhou, Ziwei Liu, Xudong Xu, Ping Luo, Xiaogang Wang |
| 2019 | Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman |
| 2019 | Visual Semantic Reasoning for Image-Text Matching. Kunpeng Li, Yulun Zhang, Kai Li, YuanYuan Li, Yun Fu |
| 2019 | Visualization of Convolutional Neural Networks for Monocular Depth Estimation. Junjie Hu, Yan Zhang, Takayuki Okatani |
| 2019 | Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery. Xiaosheng Yan, Yuanlong Yu, Feigege Wang, Wenxi Liu, Shengfeng He, Jia Pan |
| 2019 | VrR-VG: Refocusing Visually-Relevant Relationships. Yuanzhi Liang, Yalong Bai, Wei Zhang, Xueming Qian, Li Zhu, Tao Mei |
| 2019 | WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection. Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, Lei Zhang |
| 2019 | Wasserstein GAN With Quadratic Transport Cost. Huidong Liu, Xianfeng Gu, Dimitris Samaras |
| 2019 | Watch, Listen and Tell: Multi-Modal Weakly Supervised Dense Event Captioning. Tanzila Rahman, Bicheng Xu, Leonid Sigal |
| 2019 | Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution. Xin Deng, Ren Yang, Mai Xu, Pier Luigi Dragotti |
| 2019 | Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection. Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhiyong Liu |
| 2019 | Weakly Supervised Energy-Based Learning for Action Segmentation. Jun Li, Peng Lei, Sinisa Todorovic |
| 2019 | Weakly Supervised Object Detection With Segmentation Collaboration. Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen |
| 2019 | Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks. Ziyi Liu, Le Wang, Qilin Zhang, Zhanning Gao, Zhenxing Niu, Nanning Zheng, Gang Hua |
| 2019 | Weakly-Supervised Action Localization With Background Modeling. Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes |
| 2019 | What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance. Mahmoud Afifi, Michael S. Brown |
| 2019 | What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee |
| 2019 | What Synthesis Is Missing: Depth Adaptation Integrated With Weak Supervision for Indoor Scene Parsing. Keng-Chi Liu, Yi-Ting Shen, Jan Klopp, Liang-Gee Chen |
| 2019 | What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention. Antonino Furnari, Giovanni Maria Farinella |
| 2019 | Where Is My Mirror? Xin Yang, Haiyang Mei, Ke Xu, Xiaopeng Wei, Baocai Yin, Rynson W. H. Lau |
| 2019 | Why Does a Visual Question Have Different Answers? Nilavra Bhattacharya, Qing Li, Danna Gurari |
| 2019 | WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving. Senthil Kumar Yogamani, Christian Witt, Hazem Rashed, Sanjaya Nayak, Saquib Mansoor, Padraig Varley, Xavier Perrotton, Derek O'Dea, Patrick Pérez, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Sumanth Chennupati, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende |
| 2019 | X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion. Andrea Nicastro, Ronald Clark, Stefan Leutenegger |
| 2019 | XRAI: Better Attributions Through Regions. Andrei Kapishnikov, Tolga Bolukbasi, Fernanda B. Viégas, Michael Terry |
| 2019 | YOLACT: Real-Time Instance Segmentation. Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee |
| 2019 | Zero-Shot Anticipation for Instructional Activities. Fadime Sener, Angela Yao |
| 2019 | Zero-Shot Emotion Recognition via Affective Structural Embedding. Chi Zhan, Dongyu She, Sicheng Zhao, Ming-Ming Cheng, Jufeng Yang |
| 2019 | Zero-Shot Grounding of Objects From Natural Language Queries. Arka Sadhu, Kan Chen, Ram Nevatia |
| 2019 | Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao |
| 2019 | advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns. Zhibo Wang, Siyan Zheng, Mengkai Song, Qian Wang, Alireza Rahimpour, Hairong Qi |
| 2019 | lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement. Xin Miao, Xin Yuan, Yunchen Pu, Vassilis Athitsos |
| 2019 | nocaps: novel object captioning at scale. Harsh Agrawal, Peter Anderson, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee |
| 2019 | xR-EgoPose: Egocentric 3D Human Pose From an HMD Camera. Denis Tomè, Patrick Peluse, Lourdes Agapito, Hernán Badino |