CVPR 2019
1294 papers
2.5d Visual Sound
Ruohan Gao, Kristen Grauman 3D Appearance Super-Resolution with Deep Learning
Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool 3D Guided Fine-Grained Face Manipulation
Zhenglin Geng, Chen Cao, Sergey Tulyakov 3D Hand Shape and Pose Estimation from a Single RGB Image
Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan 3D Hand Shape and Pose from Images in the Wild
Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr 3D Point Capsule Networks
Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari 3DN: 3D Deformation Network
Weiyue Wang, Duygu Ceylan, Radomir Mech, Ulrich Neumann A Bayesian Perspective on the Deep Image Prior
Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon A Content Transformation Block for Image Style Transfer
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Bjorn Ommer A Convex Relaxation for Multi-Graph Matching
Paul Swoboda, Dagmar Kainm"uller, Ashkan Mokarian, Christian Theobalt, Florian Bernard A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
Mans Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler, Fredrik Kahl A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing
Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li A Generative Adversarial Density Estimator
M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu A Generative Appearance Model for End-to-End Video Object Segmentation
Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg A Late Fusion CNN for Digital Matting
Yunke Zhang, Lixue Gong, Lubin Fan, Peiran Ren, Qixing Huang, Hujun Bao, Weiwei Xu A Neural Temporal Model for Human Motion Prediction
Anand Gopalakrishnan, Ankur Mali, Dan Kifer, Lee Giles, Alexander G. Ororbia A Neurobiological Evaluation Metric for Neural Network Model Search
Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer A Parametric Top-View Representation of Complex Road Scenes
Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, Scott Howard A Simple Pooling-Based Design for Real-Time Salient Object Detection
Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang A Structured Model for Action Detection
Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction
Shumian Xin, Sotiris Nousias, Kiriakos N. Kutulakos, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan, Ioannis Gkioulekas A Variational Auto-Encoder Model for Stochastic Point Processes
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori ABC: A Big CAD Model Dataset for Geometric Deep Learning
Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo Acoustic Non-Line-of-Sight Imaging
David B. Lindell, Gordon Wetzstein, Vladlen Koltun Activity Driven Weakly Supervised Object Detection
Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan Actor-Critic Instance Segmentation
Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis Adapting Object Detectors via Selective Cross-Domain Alignment
Xinge Zhu, Jiangmiao Pang, Ceyuan Yang, Jianping Shi, Dahua Lin Adaptively Connected Neural Networks
Guangrun Wang, Keze Wang, Liang Lin Additive Adversarial Learning for Unbiased Authentication
Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu Adversarial Attacks Beyond the Image Space
Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille Adversarial Defense Through Network Profiling Based Path Extraction
Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu Adversarial Inference for Multi-Sentence Video Description
Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach Adversarial Semantic Alignment for Improved Image Captions
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu Aggregation Cross-Entropy for Sequence Recognition
Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie AIRD: Adversarial Learning Framework for Image Repurposing Detection
Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan All-Weather Deep Outdoor Lighting Estimation
Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy, Sunil Hadap, Jonathan Eisenman, Jean-Francois Lalonde Amodal Instance Segmentation with KINS Dataset
Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia An Alternative Deep Feature Approach to Line Level Keyword Spotting
George Retsinas, Georgios Louloudis, Nikolaos Stamatopoulos, Giorgos Sfikas, Basilis Gatos An End-to-End Network for Panoptic Segmentation
Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang Animating Arbitrary Objects via Deep Motion Transfer
Aliaksandr Siarohin, Stephane Lathuiliere, Sergey Tulyakov, Elisa Ricci, Nicu Sebe ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak N. Araabi Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning
Mahdi S. Hosseini, Lyndon Chan, Gabriel Tse, Michael Tang, Jun Deng, Sajad Norouzi, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos ATOM: Accurate Tracking by Overlap Maximization
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg Attention-Aware Multi-Stroke Style Transfer
Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang Attention-Guided Network for Ghost-Free High Dynamic Range Imaging
Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian Reid, Yanning Zhang Attention-Guided Unified Network for Panoptic Segmentation
Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang Attentive Region Embedding Network for Zero-Shot Learning
Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao Attentive Relational Networks for Mapping Images to Scene Graphs
Mengshi Qi, Weijian Li, Zhengyuan Yang, Yunhong Wang, Jiebo Luo Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos Audio Visual Scene-Aware Dialog
Huda Alamri, Vincent Cartillier, Abhishek Das, Jue Wang, Anoop Cherian, Irfan Essa, Dhruv Batra, Tim K. Marks, Chiori Hori, Peter Anderson, Stefan Lee, Devi Parikh Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei Auto-Encoding Scene Graphs for Image Captioning
Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai AutoAugment: Learning Augmentation Strategies from Data
Ekin D. Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, Quoc V. Le Automatic Adaptation of Object Detectors to New Domains Using Self-Training
Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik Learned-Miller Automatic Face Aging in Videos via Deep Reinforcement Learning
Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Nghia Nguyen, Eric Patterson, Tien D. Bui, Ngan Le BAD SLAM: Bundle Adjusted Direct RGB-D SLAM
Thomas Schops, Torsten Sattler, Marc Pollefeys BASNet: Boundary-Aware Salient Object Detection
Xuebin Qin, Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan, Martin Jagersand BeautyGlow: On-Demand Makeup Transfer Framework with Reversible Generative Network
Hung-Jen Chen, Ka-Ming Hui, Szu-Yu Wang, Li-Wu Tsao, Hong-Han Shuai, Wen-Huang Cheng Bi-Directional Cascade Network for Perceptual Edge Detection
Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang Biologically-Constrained Graphs for Global Connectomics Reconstruction
Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister Blind Visual Motif Removal from a Single Image
Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or Bringing a Blurry Frame Alive at High Frame-Rate with an Event Camera
Liyuan Pan, Cedric Scheerlinck, Xin Yu, Richard Hartley, Miaomiao Liu, Yuchao Dai Bringing Alive Blurred Moments
Kuldeep Purohit, Anshul Shah, A. N. Rajagopalan Building Detail-Sensitive Semantic Segmentation Networks with Polynomial Pooling
Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
Jose M. Facil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera Camera Lens Super-Resolution
Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu Capture, Learning, and Synthesis of 3D Speaking Styles
Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha Character Region Awareness for Text Detection
Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee Characterizing and Avoiding Negative Transfer
Zirui Wang, Zihang Dai, Barnabas Poczos, Jaime Carbonell CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang Class-Balanced Loss Based on Effective Number of Samples
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie Classification-Reconstruction Learning for Open-Set Recognition
Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura Co-Occurrent Features in Semantic Segmentation
Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis
Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou Coloring with Limited Data: Few-Shot Colorization via Memory Augmented Networks
Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo Combining 3D Morphable Models: A Large Scale Face-and-Head Model
Stylianos Ploumpis, Haoyang Wang, Nick Pears, William A. P. Smith, Stefanos Zafeiriou Complete the Look: Scene-Based Complementary Product Recommendation
Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian McAuley Composing Text and Image for Image Retrieval - An Empirical Odyssey
Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays Connecting Touch and Vision via Cross-Modal Prediction
Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba Context and Attribute Grounded Dense Captioning
Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao Context-Aware Crowd Counting
Weizhe Liu, Mathieu Salzmann, Pascal Fua Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation
Feigege Wang, Yue Gu, Wenxi Liu, Yuanlong Yu, Shengfeng He, Jia Pan Context-Aware Visual Compatibility Prediction
Guillem Cucurull, Perouz Taslakian, David Vazquez Context-Reinforced Semantic Segmentation
Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha, Wenjun Zeng ContextDesc: Local Descriptor Augmentation with Cross-Modality Context
Zixin Luo, Tianwei Shen, Lei Zhou, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
Jia-Xing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang Convolutional Neural Networks Can Be Deceived by Visual Illusions
Alexander Gomez-Villa, Adrian Martin, Javier Vazquez-Corral, Marcelo Bertalmio Convolutional Recurrent Network for Road Boundary Extraction
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun Convolutional Relational Machine for Group Activity Recognition
Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi, Alexandre Alahi Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation
Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor Lempitsky CRAVES: Controlling Robotic Arm with a Vision-Based Economic System
Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille Creative Flow+ Dataset
Maria Shugrina, Ziheng Liang, Amlan Kar, Jiaman Li, Angad Singh, Karan Singh, Sanja Fidler Cross-Task Weakly Supervised Learning from Instructional Videos
Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks
Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David Doermann, Ling Shao Customizable Architecture Search for Semantic Segmentation
Yiheng Zhang, Zhaofan Qiu, Jingen Liu, Ting Yao, Dong Liu, Tao Mei D-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler DARNet: Deep Active Ray Network for Building Segmentation
Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun DAVANet: Stereo Deblurring with View Aggregation
Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy S. Ren Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jerome Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger Deep Defocus mAP Estimation Using Domain Adaptation
Junyong Lee, Sungkil Lee, Sunghyun Cho, Seungyong Lee Deep Exemplar-Based Video Colorization
Bo Zhang, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, Dong Chen Deep Flow-Guided Video Inpainting
Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy Deep Geometric Prior for Surface Reconstruction
Francis Williams, Teseo Schneider, Claudio Silva, Denis Zorin, Joan Bruna, Daniele Panozzo Deep Global Generalized Gaussian Networks
Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo Deep Metric Learning Beyond Binary Supervision
Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak Deep Metric Learning to Rank
Fatih Cakir, Kun He, Xide Xia, Brian Kulis, Stan Sclaroff Deep Rigid Instance Scene Flow
Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun Deep Robust Subjective Visual Property Prediction in Crowdsourcing
Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao Deep Single Image Camera Calibration with Radial Distortion
Manuel Lopez, Roger Mari, Pau Gargallo, Yubin Kuang, Javier Gonzalez-Jimenez, Gloria Haro Deep Sketch-Shape Hashing with Segmented 3D Stochastic Viewing
Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie, Ling Shao Deep Sky Modeling for Single Image Outdoor Lighting Estimation
Yannick Hold-Geoffroy, Akshaya Athawale, Jean-Francois Lalonde Deep Supervised Cross-Modal Retrieval
Liangli Zhen, Peng Hu, Xu Wang, Dezhong Peng Deep Surface Normal Estimation with Hierarchical RGB-D Fusion
Jin Zeng, Yanfeng Tong, Yunmu Huang, Qiong Yan, Wenxiu Sun, Jing Chen, Yongtian Wang Deep Tree Learning for Zero-Shot Face Anti-Spoofing
Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu Deep Video Inpainting
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon DeepCaps: Going Deeper with Capsule Networks
Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo DeepFlux for Skeletons in the Wild
Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven Dickinson, Kaleem Siddiqi DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul Debevec Deeply-Supervised Knowledge Synergy
Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, Steven Lovegrove DeepView: View Synthesis with Learned Gradient Descent
John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, Richard Tucker DeepVoxels: Learning Persistent 3D Feature Embeddings
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Niessner, Gordon Wetzstein, Michael Zollhofer Defending Against Adversarial Attacks by Randomized Diversification
Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan Dense Classification and Implanting for Few-Shot Learning
Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc DenseFusion: 6d Object Pose Estimation by Iterative Dense Fusion
Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin-Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese Densely Semantically Aligned Person Re-Identification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen Depth Coefficients for Depth Completion
Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris Depth-Aware Video Frame Interpolation
Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, Ming-Hsuan Yang Detection Based Defense Against Adversarial Examples from the Steganalysis Point of View
Jiayang Liu, Weiming Zhang, Yiwei Zhang, Dongdong Hou, Yujia Liu, Hongyue Zha, Nenghai Yu Direct Object Recognition Without Line-of-Sight Using Optical Coherence
Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu Discovering Fair Representations in the Data Domain
Novi Quadrianto, Viktoriia Sharmanska, Oliver Thomas Distraction-Aware Shadow Detection
Quanlong Zheng, Xiaotian Qiao, Ying Cao, Rynson W.H. Lau Divergence Prior and Vessel-Tree Reconstruction
Zhongwen Zhang, Dmitrii Marin, Egor Chesakov, Marc Moreno Maza, Maria Drangova, Yuri Boykov Diverse Generation for Multi-Agent Sports Games
Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy Divide and Conquer the Embedding Space for Metric Learning
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Buchler, Bjorn Ommer DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan Do Better ImageNet Models Transfer Better?
Simon Kornblith, Jonathon Shlens, Quoc V. Le Domain Generalization by Solving Jigsaw Puzzles
Fabio M. Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi DSFD: Dual Shot Face Detector
Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang Dual Attention Network for Scene Segmentation
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu Dual Encoding for Zero-Example Video Retrieval
Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang, Xun Wang DuDoNet: Dual Domain Network for CT Metal Artifact Reduction
Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou DVC: An End-to-End Deep Video Compression Framework
Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao Dynamic Fusion with Intra- and Inter-Modality Attention Flow for Visual Question Answering
Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven C. H. Hoi, Xiaogang Wang, Hongsheng Li Dynamic Recursive Neural Network
Qiushan Guo, Zhipeng Yu, Yichao Wu, Ding Liang, Haoyu Qin, Junjie Yan Dynamics Are Important for the Recognition of Equine Pain in Video
Sofia Broome, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellstrom DynTypo: Example-Based Dynamic Text Effects Transfer
Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition
Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu Efficient Featurized Image Pyramid Network for Single Shot Detector
Yanwei Pang, Tiancai Wang, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao Efficient Neural Network Compression
Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung Efficient Video Classification Using Fewer Frames
Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra Elastic Boundary Projection for 3D Medical Image Segmentation
Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille ELASTIC: Improving CNNs with Dynamic Scaling Policies
Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra Emotion-Aware Human Attention Prediction
Macario O. Cordel Ii, Shaojing Fan, Zhiqi Shen, Mohan S. Kankanhalli End-to-End Interpretable Neural Motion Planner
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image
Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim Engaging Image Captioning via Personality
Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, Jason Weston Enhanced Pix2Pix Dehazing Network
Yanyun Qu, Yizi Chen, Jingying Huang, Yuan Xie Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video
Zongmian Li, Jiri Sedlar, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors
Yanxiang Wang, Bowen Du, Yiran Shen, Kai Wu, Guangrong Zhao, Jianguo Sun, Hongkai Wen Example-Guided Style-Consistent Image Synthesis from Semantic Labeling
Miao Wang, Guo-Ye Yang, Ruilong Li, Run-Ze Liang, Song-Hai Zhang, Peter M. Hall, Shi-Min Hu Explainability Methods for Graph Convolutional Neural Networks
Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji Explore-Exploit Graph Traversal for Image Retrieval
Cheng Chang, Guangwei Yu, Chundi Liu, Maksims Volkovs Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman, Qixing Huang Face Anti-Spoofing: Model Matters, so Does Data
Xiao Yang, Wenhan Luo, Linchao Bao, Yuan Gao, Dihong Gong, Shibao Zheng, Zhifeng Li, Wei Liu Face Parsing with RoI Tanh-Warping
Jinpeng Lin, Hao Yang, Dong Chen, Ming Zeng, Fang Wen, Lu Yuan Factor Graph Attention
Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing Fast Human Pose Estimation
Feng Zhang, Xiatian Zhu, Mao Ye Fast Interactive Object Annotation with Curve-GCN
Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler Fast Online Object Tracking and Segmentation: A Unifying Approach
Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr Fast Spatially-Varying Indoor Lighting Estimation
Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Jean-Francois Lalonde Fast Spatio-Temporal Residual Network for Video Super-Resolution
Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao Fast, Diverse and Accurate Image Captioning Guided by Part-of-Speech
Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David Forsyth FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer Feature Denoising for Improving Adversarial Robustness
Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition
Xiaofeng Liu, Site Li, Lingsheng Kong, Wanqing Xie, Ping Jia, Jane You, B.V.K. Kumar Feedback Network for Image Super-Resolution
Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen Few-Shot Adaptive Faster R-CNN
Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng FML: Face Model Learning from Videos
Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Perez, Michael Zollhofer, Christian Theobalt Foreground-Aware Image Inpainting
Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo Fully Quantized Network for Object Detection
Rundong Li, Yan Wang, Feng Liang, Hongwei Qin, Junjie Yan, Rui Fan GA-Net: Guided Aggregation Net for End-to-End Stereo Matching
Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr Gait Recognition via Disentangled Representation Learning
Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang Gaussian Temporal Awareness Networks for Action Localization
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei Generalising Fine-Grained Sketch-Based Image Retrieval
Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song Generalized Intersection over Union: A Metric and a Loss for Bounding Box Regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Edgar Schonfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata Geometry-Aware Distillation for Indoor Semantic Segmentation
Jianbo Jiao, Yunchao Wei, Zequn Jie, Honghui Shi, Rynson W.H. Lau, Thomas S. Huang GeoNet: Deep Geodesic Networks for Point Cloud Analysis
Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching
Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodola Graph Convolutional Tracking
Junyu Gao, Tianzhu Zhang, Changsheng Xu Graph-Based Global Reasoning Networks
Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Yan Shuicheng, Jiashi Feng, Yannis Kalantidis Graphical Contrastive Losses for Scene Graph Parsing
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro Graphonomy: Universal Human Parsing via Graph Transfer Learning
Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin Greedy Structure Learning of Hierarchical Compositional Models
Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter Grid R-CNN
Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan Grounded Video Description
Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach Grounding Human-to-Vehicle Advice for Self-Driving Vehicles
Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John Canny Group Sampling for Scale Invariant Face Detection
Xiang Ming, Fangyun Wei, Ting Zhang, Dong Chen, Fang Wen Group-Wise Correlation Stereo Network
Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li Guided Stereo Matching
Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning
Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy Hardness-Aware Deep Metric Learning
Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri Hierarchical Deep Stereo Matching on High-Resolution Images
Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan High-Quality Face Capture Using Anatomical Muscles
Michael Bao, Matthew Cong, Stephane Grabli, Ronald Fedkiw How to Make a Pizza: Learning a Compositional Layer-Based GAN Model
Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba Hybrid Scene Compression for Visual Localization
Federico Camposeco, Andrea Cohen, Marc Pollefeys, Torsten Sattler Hybrid Task Cascade for Instance Segmentation
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin Hyperspectral Imaging with Random Printed Mask
Yuanyuan Zhao, Hui Guo, Zhan Ma, Xun Cao, Tao Yue, Xuemei Hu IM-Net for High Resolution Video Frame Interpolation
Tomer Peleg, Pablo Szekely, Doron Sabo, Omry Sendik Im2Pencil: Controllable Pencil Illustration from Photographs
Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang Image Deformation Meta-Networks for One-Shot Learning
Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert Image Generation from Layout
Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal Importance Estimation for Neural Network Pruning
Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz Improved Road Connectivity by Joint Learning of Orientation and Segmentation
Anil Batra, Suriya Singh, Guan Pang, Saikat Basu, C.V. Jawahar, Manohar Paluri Improving Semantic Segmentation via Video Propagation and Label Relaxation
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan L. Yuille Incremental Object Learning from Contiguous Views
Stefan Stojanov, Samarth Mishra, Ngoc Anh Thai, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg Inserting Videos into Videos
Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang Instance-Level Meta Normalization
Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen Interaction-and-Aggregation Network for Person Re-Identification
Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
Jorg Wagner, Jan Mathias Kohler, Tobias Gindele, Leon Hetzel, Jakob Thaddaus Wiedemer, Sven Behnke Interpreting CNNs via Decision Trees
Quanshi Zhang, Yu Yang, Haotian Ma, Ying Nian Wu Inverse Cooking: Recipe Generation from Food Images
Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto, Adriana Romero Inverse Path Tracing for Joint Material and Lighting Estimation
Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Niessner Inverse Procedural Modeling of Knitwear
Elena Trunz, Sebastian Merzbach, Jonathan Klein, Thomas Schulze, Michael Weinmann, Reinhard Klein Isospectralization, or How to Hear Shape, Style, and Correspondence
Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodola Joint Discriminative and Generative Learning for Person Re-Identification
Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz K-Nearest Neighbors Hashing
Xiangyu He, Peisong Wang, Jian Cheng Kervolutional Neural Networks
Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications
Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli Knowledge Adaptation for Efficient Semantic Segmentation
Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan Knowledge Distillation via Instance Relationship Graph
Yufan Liu, Jiajiong Cao, Bing Li, Chunfeng Yuan, Weiming Hu, Yangxi Li, Yunqiang Duan Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan Label Propagation for Deep Semi-Supervised Learning
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum Label-Noise Robust Generative Adversarial Networks
Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada LAEO-Net: Revisiting People Looking at Each Other in Videos
Manuel J. Marin-Jimenez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic Large Scale Incremental Learning
Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, Yun Fu Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling Latent Space Autoregression for Novelty Detection
Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara Layout-Graph Reasoning for Fashion Landmark Detection
Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin Learning 3D Human Dynamics from Video
Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik Learning a Unified Classifier Incrementally via Rebalancing
Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, Dahua Lin Learning Active Contour Models for Medical Image Segmentation
Xu Chen, Bryan M. Williams, Srinivasa R. Vallabhaneni, Gabriela Czanner, Rachel Williams, Yalin Zheng Learning Context Graph for Person Search
Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang Learning from Noisy Labels by Regularized Estimation of Annotator Confusion
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman Learning Individual Styles of Conversational Gesture
Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik Learning Joint Reconstruction of Hands and Manipulated Objects
Yana Hasson, Gul Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid Learning Metrics from Teachers: Compact Networks for Image Embedding
Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa Learning Parallax Attention for Stereo Image Super-Resolution
Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Mansour, Svetha Venkatesh Learning Shape-Aware Embedding for Scene Text Detection
Zhuotao Tian, Michelle Shu, Pengyuan Lyu, Ruiyu Li, Chao Zhou, Xiaoyong Shen, Jiaya Jia Learning Structure-and-Motion-Aware Rolling Shutter Correction
Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Loong-Fah Cheong, Manmohan Chandraker Learning the Depths of Moving People by Watching Frozen People
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman Learning to Adapt for Stereo
Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H.S. Torr Learning to Cluster Faces on an Affinity Graph
Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin Learning to Detect Human-Object Interactions with Knowledge
Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan S. Kankanhalli Learning to Explore Intrinsic Saliency for Stereoscopic Video
Qiudan Zhang, Xu Wang, Shiqi Wang, Shikai Li, Sam Kwong, Jianmin Jiang Learning to Film from Professional Human Motion Videos
Chong Huang, Chuan-En Lin, Zhenyu Yang, Yan Kong, Peng Chen, Xin Yang, Kwang-Ting Cheng Learning to Generate Synthetic Data via Compositing
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari Learning to Learn from Noisy Labeled Data
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi Learning to Learn Image Classifiers with Visual Analogy
Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian Learning to Localize Through Compressed Binary Maps
Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun Learning to Minify Photometric Stereo
Junxuan Li, Antonio Robles-Kelly, Shaodi You, Yasuyuki Matsushita Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss
Sangil Jung, Changyong Son, Seohyung Lee, Jinwoo Son, Jae-Joon Han, Youngjun Kwak, Sung Ju Hwang, Changkyu Choi Learning to Reconstruct People in Clothing from a Single RGB Camera
Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll Learning to Sample
Oren Dovrat, Itai Lang, Shai Avidan Learning to Separate Multiple Illuminants in a Single Image
Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan Learning to Transfer Examples for Partial Domain Adaptation
Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang Learning Transformation Synchronization
Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang Learning Unsupervised Video Object Segmentation Through Visual Attention
Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven C. H. Hoi, Haibin Ling Learning Without Memorizing
Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa Learning Words by Drawing Images
Didac Suris, Adria Recasens, David Bau, David Harwath, James Glass, Antonio Torralba Learning-Based Sampling for Natural Image Matting
Jingwei Tang, Yagiz Aksoy, Cengiz Oztireli, Markus Gross, Tunc Ozan Aydin Less Is More: Learning Highlight Detection from Video Duration
Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman Leveraging the Invariant Side of Generative Zero-Shot Learning
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang Libra R-CNN: Towards Balanced Learning for Object Detection
Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin LiFF: Light Field Features in Scale and Depth
Donald G. Dansereau, Bernd Girod, Gordon Wetzstein Listen to the Image
Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang LO-Net: Deep Real-Time LiDAR Odometry
Qing Li, Shaoyang Chen, Cheng Wang, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li Local Temporal Bilinear Pooling for Fine-Grained Action Parsing
Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann Locating Objects Without Bounding Boxes
Javier Ribera, David Guera, Yuhao Chen, Edward J. Delp Long-Term Feature Banks for Detailed Video Understanding
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krahenbuhl, Ross Girshick Look More than Once: An Accurate Detector for Text of Arbitrary Shapes
Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding MAGSAC: Marginalizing Sample Consensus
Daniel Barath, Jiri Matas, Jana Noskova MARS: Motion-Augmented RGB Stream for Action Recognition
Nieves Crasto, Philippe Weinzaepfel, Karteek Alahari, Cordelia Schmid Mask Scoring R-CNN
Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang Mask-Guided Portrait Editing with Conditional GANs
Shuyang Gu, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen, Lu Yuan Max-Sliced Wasserstein Distance and Its Use for GANs
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth, Alexander G. Schwing MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed Sabry Aly, Vijay Chandrasekhar Memory-Attended Recurrent Network for Video Captioning
Wenjie Pei, Jiyuan Zhang, Xiangrong Wang, Lei Ke, Xiaoyong Shen, Yu-Wing Tai MeshAdv: Adversarial Meshes for Visual Recognition
Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu Meta-Learning with Differentiable Convex Optimization
Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun Meta-Transfer Learning for Few-Shot Learning
Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele Metric Learning for Image Registration
Marc Niethammer, Roland Kwitt, Francois-Xavier Vialard MFAS: Multimodal Fusion Architecture Search
Juan-Manuel Perez-Rua, Valentin Vielzeuf, Stephane Pateux, Moez Baccouche, Frederic Jurie Min-Max Statistical Alignment for Transfer Learning
Samitha Herath, Mehrtash Harandi, Basura Fernando, Richard Nock Mixture Density Generative Adversarial Networks
Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction
Hongwei Yi, Chen Li, Qiong Cao, Xiaoyong Shen, Sheng Li, Guoping Wang, Yu-Wing Tai MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le Model-Blind Video Denoising via Frame-to-Frame Training
Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, Pablo Arias Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian MOTS: Multi-Object Tracking and Segmentation
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu Multi-Level Context Ultra-Aggregation for Stereo Matching
Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, Yongtian Wang Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding
Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang Multi-Source Weak Supervision for Saliency Detection
Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu Multi-Target Embodied Question Answering
Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra Multi-Task Multi-Sensor Fusion for 3D Object Detection
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun Multimodal Explanations by Predicting Counterfactuality in Videos
Atsushi Kanehira, Kentaro Takemoto, Sho Inayoshi, Tatsuya Harada Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu MVF-Net: Multi-View 3D Face Morphable Model Regression
Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu Neural Rerendering in the Wild
Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla Neural RGB(r)D Sensing: Depth and Uncertainty from a Video Camera
Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G. Narasimhan, Jan Kautz Neural Scene Decomposition for Multi-Person Motion Capture
Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles Noise-Aware Unsupervised Deep LiDAR-Stereo Fusion
Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li Normalized Diversification
Shaohui Liu, Xiao Zhang, Jianqiao Wangni, Jianbo Shi Normalized Object Coordinate Space for Category-Level 6d Object Pose and Size Estimation
He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas Object-Driven Text-to-Image Synthesis via Adversarial Training
Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao Occupancy Networks: Learning 3D Reconstruction in Function Space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger ODE-Inspired Network Design for Single Image Super-Resolution
Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng On Finding Gray Pixels
Yanlin Qian, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas On Learning Density Aware Embeddings
Soumyadeep Ghosh, Richa Singh, Mayank Vatsa On Zero-Shot Recognition of Generic Objects
Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi Orthogonal Decomposition Network for Pixel-Wise Binary Classification
Chang Liu, Fang Wan, Wei Ke, Zhuowei Xiao, Yuan Yao, Xiaosong Zhang, Qixiang Ye Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Devraj Mandal, Sanath Narayan, Sai Kumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao P2SGrad: Refined Gradients for Optimizing Deep Face Models
Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li Panoptic Feature Pyramid Networks
Alexander Kirillov, Ross Girshick, Kaiming He, Piotr Dollar Panoptic Segmentation
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollar Parallel Optimal Transport GAN
Gil Avraham, Yan Zuo, Tom Drummond Patch-Based Progressive 3D Point Set Upsampling
Wang Yifan, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung Path-Invariant mAP Networks
Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, Qixing Huang PDE Acceleration for Active Contours
Anthony Yezzi, Ganesh Sundaramoorthi, Minas Benyamin PEPSI : Fast Image Inpainting with Parallel Decoding Network
Min-cheol Sagong, Yong-goo Shin, Seung-wook Kim, Seung Park, Sung-jea Ko Photo Wake-up: 3D Character Animation from a Single Photo
Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey Photon-Flooded Single-Photon 3D Cameras
Anant Gupta, Atul Ingle, Andreas Velten, Mohit Gupta PIEs: Pose Invariant Embeddings
Chih-Hui Ho, Pedro Morgado, Amir Persekian, Nuno Vasconcelos Pixel-Adaptive Convolutional Neural Networks
Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz Pluralistic Image Completion
Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai Point in, Box Out: Beyond Counting Persons in Crowds
Yuting Liu, Miaojing Shi, Qijun Zhao, Xiaofang Wang Pointing Novel Objects in Image Captioning
Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet
Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey PointPillars: Fast Encoders for Object Detection from Point Clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom Pose2Seg: Detection Free Human Instance Segmentation
Song-Hai Zhang, Ruilong Li, Xin Dong, Paul Rosin, Zixi Cai, Xi Han, Dingcheng Yang, Haozhi Huang, Shi-Min Hu PPGNet: Learning Point-Pair Graph for Line Segment Detection
Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao Practical Coding Function Design for Time-of-Flight Imaging
Felipe Gutierrez-Barragan, Syed Azer Reza, Andreas Velten, Mohit Gupta Practical Full Resolution Learned Lossless Image Compression
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool Precise Detection in Densely Packed Scenes
Eran Goldman, Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner Privacy Preserving Image-Based Localization
Pablo Speciale, Johannes L. Schonberger, Sing Bing Kang, Sudipta N. Sinha, Marc Pollefeys Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery
Ries Uittenbogaard, Clint Sebastian, Julien Vijverberg, Bas Boom, Dariu M. Gavrila, Peter H.N. de With Progressive Feature Alignment for Unsupervised Domain Adaptation
Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang Progressive Pose Attention Transfer for Person Image Generation
Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, Xiang Bai Progressive Teacher-Student Learning for Early Action Prediction
Xionghui Wang, Jian-Fang Hu, Jian-Huang Lai, Jianguo Zhang, Wei-Shi Zheng Pushing the Boundaries of View Extrapolation with Multiplane Images
Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation
Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, Hujun Bao Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
Feng Zheng, Cheng Deng, Xing Sun, Xinyang Jiang, Xiaowei Guo, Zongqiao Yu, Feiyue Huang, Rongrong Ji QATM: Quality-Aware Template Matching for Deep Learning
Jiaxin Cheng, Yue Wu, Wael AbdAlmageed, Premkumar Natarajan Quantization Networks
Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-sheng Hua Query-Guided End-to-End Person Search
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Ken Chen, Yichao Wu, Haoyu Qin, Ding Liang, Xuebo Liu, Junjie Yan Radial Distortion Triangulation
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Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil M. Robertson Re-Identification Supervised Texture Generation
Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei Real-Time Self-Adaptive Deep Stereo
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Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal Reflective and Fluorescent Separation Under Narrow-Band Illumination
Koji Koyamatsu, Daichi Hidaka, Takahiro Okabe, Hendrik P. A. Lensch Region Proposal by Guided Anchoring
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Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang Relational Action Forecasting
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid Relational Knowledge Distillation
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Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, Alex M. Bronstein RePr: Improved Training of Convolutional Filters
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Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing Rethinking the Evaluation of Video Summaries
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkila Revealing Scenes by Inverting Structure from Motion Reconstructions
Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang, Sudipta N. Sinha RF-Net: An End-to-End Image Matching Network Based on Receptive Field
Xuelun Shen, Cheng Wang, Xin Li, Zenglei Yu, Jonathan Li, Chenglu Wen, Ming Cheng, Zijian He Robust Histopathology Image Analysis: To Label or to Synthesize?
Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurc, Rajarsi R. Gupta, Joel H. Saltz Robustness Verification of Classification Deep Neural Networks via Linear Programming
Wang Lin, Zhengfeng Yang, Xin Chen, Qingye Zhao, Xiangkun Li, Zhiming Liu, Jifeng He Robustness via Curvature Regularization, and Vice Versa
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard ROI Pooled Correlation Filters for Visual Tracking
Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu RVOS: End-to-End Recurrent Network for Video Object Segmentation
Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto S4Net: Single Stage Salient-Instance Segmentation
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Wenguan Wang, Shuyang Zhao, Jianbing Shen, Steven C. H. Hoi, Ali Borji Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Niessner Scene Categorization from Contours: Medial Axis Based Salience Measures
Morteza Rezanejad, Gabriel Downs, John Wilder, Dirk B. Walther, Allan Jepson, Sven Dickinson, Kaleem Siddiqi Scene Graph Generation with External Knowledge and Image Reconstruction
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling SCOPS: Self-Supervised Co-Part Segmentation
Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz ScratchDet: Training Single-Shot Object Detectors from Scratch
Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei Seamless Scene Segmentation
Lorenzo Porzi, Samuel Rota Bulo, Aleksander Colovic, Peter Kontschieder SeerNet: Predicting Convolutional Neural Network Feature-mAP Sparsity Through Low-Bit Quantization
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Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann Selective Kernel Networks
Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang Selective Sensor Fusion for Neural Visual-Inertial Odometry
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Junlong Gao, Shiqi Wang, Shanshe Wang, Siwei Ma, Wen Gao Self-Supervised Convolutional Subspace Clustering Network
Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin Self-Supervised GANs via Auxiliary Rotation Loss
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Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen SiCloPe: Silhouette-Based Clothed People
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Amir Zadeh, Michael Chan, Paul Pu Liang, Edmund Tong, Louis-Philippe Morency SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates
Martin Engilberge, Louis Chevallier, Patrick Perez, Matthieu Cord SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
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Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang Spectral Metric for Dataset Complexity Assessment
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Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger Target-Aware Deep Tracking
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Xiaotian Qiao, Quanlong Zheng, Ying Cao, Rynson W.H. Lau Temporal Cycle-Consistency Learning
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman Text Guided Person Image Synthesis
Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang Textured Neural Avatars
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Akash Bapat, Jan-Michael Frahm Tightness-Aware Evaluation Protocol for Scene Text Detection
Yuliang Liu, Lianwen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang, Lele Xie Timeception for Complex Action Recognition
Noureldien Hussein, Efstratios Gavves, Arnold W.M. Smeulders TopNet: Structural Point Cloud Decoder
Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian Reid, Silvio Savarese Towards Accurate One-Stage Object Detection with AP-Loss
Kean Chen, Jianguo Li, Weiyao Lin, John See, Ji Wang, Lingyu Duan, Zhibo Chen, Changwei He, Junni Zou Towards Instance-Level Image-to-Image Translation
Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang Towards Natural and Accurate Future Motion Prediction of Humans and Animals
Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shijian Lu, Roger Zimmermann, Li Cheng Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
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Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh Towards Universal Object Detection by Domain Attention
Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos Towards Visual Feature Translation
Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian Towards VQA Models That Can Read
Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach Transferable AutoML by Model Sharing over Grouped Datasets
Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin Transferable Interactiveness Knowledge for Human-Object Interaction Detection
Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yanfeng Wang, Cewu Lu Translate-to-Recognize Networks for RGB-D Scene Recognition
Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu Trust Region Based Adversarial Attack on Neural Networks
Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael W. Mahoney Turn a Silicon Camera into an InGaAs Camera
Feifan Lv, Yinqiang Zheng, Bohan Zhang, Feng Lu Two Body Problem: Collaborative Visual Task Completion
Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi Underexposed Photo Enhancement Using Deep Illumination Estimation
Ruixing Wang, Qing Zhang, Chi-Wing Fu, Xiaoyong Shen, Wei-Shi Zheng, Jiaya Jia Understanding and Visualizing Deep Visual Saliency Models
Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault Unequal-Training for Deep Face Recognition with Long-Tailed Noisy Data
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Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini-Scarzanella Universal Domain Adaptation
Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan Unprocessing Images for Learned Raw Denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron Unsupervised 3D Pose Estimation with Geometric Self-Supervision
Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith Mv, Stefan Stojanov, James M. Rehg Unsupervised Deep Tracking
Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss
Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulo, Nicu Sebe, Elisa Ricci Unsupervised Image Captioning
Yang Feng, Lin Ma, Wei Liu, Jiebo Luo Unsupervised Image Matching and Object Discovery as Optimization
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Oshri Halimi, Or Litany, Emanuele Rodola, Alex M. Bronstein, Ron Kimmel Unsupervised Multi-Modal Neural Machine Translation
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Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai UPSNet: A Unified Panoptic Segmentation Network
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Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph
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