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CVPR 2017

783 papers

Semantic Scene Completion From a Single Depth Image

Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva

Multi-Modal Mean-Fields via Cardinality-Based Clamping

Pierre Baque, Francois Fleuret, Pascal Fua

FFTLasso: Large-Scale LASSO in the Fourier Domain

Adel Bibi, Hani Itani, Bernard Ghanem

Automatic Understanding of Image and Video Advertisements

Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas

Collaborative Deep Reinforcement Learning for Joint Object Search

Xiangyu Kong, Bo Xin, Yizhou Wang, Gang Hua

Emotion Recognition in Context

Ronak Kosti, Jose M. Alvarez, Adria Recasens, Agata Lapedriza

Hierarchical Boundary-Aware Neural Encoder for Video Captioning

Lorenzo Baraldi, Costantino Grana, Rita Cucchiara

Global Context-Aware Attention LSTM Networks for 3D Action Recognition

Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot

Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?

Torsten Sattler, Akihiko Torii, Josef Sivic, Marc Pollefeys, Hajime Taira

A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching

Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmuller, Bogdan Savchynskyy

Polarimetric Multi-View Stereo

Zhaopeng Cui, Jinwei Gu, Boxin Shi, Ping Tan, Jan Kautz

Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network

Jinwei Gu, Xiaodong Yang, Shalini De Mello, Jan Kautz

Reconstructing Transient Images From Single-Photon Sensors

Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond

Spatiotemporal Pyramid Network for Video Action Recognition

Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu

Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks

Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D. Kulkarni, Joshua B. Tenenbaum

Predicting Behaviors of Basketball Players From First Person Videos

Shan Su, Jung Pyo Hong, Jianbo Shi, Hyun Soo Park

Aggregated Residual Transformations for Deep Neural Networks

Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He

Comparative Evaluation of Hand-Crafted and Learned Local Features

Johannes L. Schonberger, Hans Hardmeier, Torsten Sattler, Marc Pollefeys

Semantic Amodal Segmentation

Yan Zhu, Yuandong Tian, Dimitris Metaxas, Piotr Dollár

SCC: Semantic Context Cascade for Efficient Action Detection

Fabian Caba Heilbron, Wayner Barrios, Victor Escorcia, Bernard Ghanem

Efficient Optimization for Hierarchically-structured Interacting Segments (HINTS)

Hossam Isack, Olga Veksler, Ipek Oguz, Milan Sonka, Yuri Boykov

NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance

Geoffrey Pascoe, Will Maddern, Michael Tanner, Pedro Pinies, Paul Newman

Discretely Coding Semantic Rank Orders for Supervised Image Hashing

Li Liu, Ling Shao, Fumin Shen, Mengyang Yu

Missing Modalities Imputation via Cascaded Residual Autoencoder

LUAN TRAN, Xiaoming Liu, Jiayu Zhou, Rong Jin

Context-Aware Correlation Filter Tracking

Matthias Mueller, Neil Smith, Bernard Ghanem

KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences

Miroslava Slavcheva, Maximilian Baust, Daniel Cremers, Slobodan Ilic

Deep Self-Taught Learning for Weakly Supervised Object Localization

Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu

Person Re-Identification in the Wild

Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker, Yi Yang

Deep Joint Rain Detection and Removal From a Single Image

Wenhan Yang, Robby T. Tan, Jiashi Feng, Jiaying Liu, Zongming Guo

ViP-CNN: Visual Phrase Guided Convolutional Neural Network

Yikang LI, Wanli Ouyang, Xiaogang Wang, Xiao'ou Tang

Sequential Person Recognition in Photo Albums With a Recurrent Network

Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen

Deep Visual-Semantic Quantization for Efficient Image Retrieval

Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu

Re-Ranking Person Re-Identification With k-Reciprocal Encoding

Zhun Zhong, Liang Zheng, Donglin Cao, Shaozi Li

Feedback Networks

Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Bertram E. Shi

Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking

Yan Yan, Chenliang Xu, Dawen Cai, Jason J. Corso

Accurate Optical Flow via Direct Cost Volume Processing

Jia Xu, Rene Ranftl, Vladlen Koltun

Deep Video Deblurring for Hand-Held Cameras

Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich

Learning Detailed Face Reconstruction From a Single Image

Elad Richardson, Matan Sela, Roy Or-El, Ron Kimmel

Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups

Yani Ioannou, Duncan Robertson, Roberto Cipolla, Antonio Criminisi

Perceptual Generative Adversarial Networks for Small Object Detection

Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng

HSfM: Hybrid Structure-from-Motion

Hainan Cui, Xiang Gao, Shuhan Shen, Zhanyi Hu

A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning

Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang

Joint Discriminative Bayesian Dictionary and Classifier Learning

Naveed Akhtar, Ajmal Mian, Fatih Porikli

Learning Deep Binary Descriptor With Multi-Quantization

Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou

Hand Keypoint Detection in Single Images Using Multiview Bootstrapping

Tomas Simon, Hanbyul Joo, Iain Matthews, Yaser Sheikh

Counting Everyday Objects in Everyday Scenes

Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh

Image-To-Image Translation With Conditional Adversarial Networks

Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros

Modeling Relationships in Referential Expressions With Compositional Modular Networks

Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko

Unified Embedding and Metric Learning for Zero-Exemplar Event Detection

Noureldien Hussein, Efstratios Gavves, Arnold W.M. Smeulders

SRN: Side-output Residual Network for Object Symmetry Detection in the Wild

Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye

Spatially Adaptive Computation Time for Residual Networks

Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang

Budget-Aware Deep Semantic Video Segmentation

Behrooz Mahasseni, Sinisa Todorovic, Alan Fern

Generating the Future With Adversarial Transformers

Carl Vondrick, Antonio Torralba

Interpretable Structure-Evolving LSTM

Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan

A Combinatorial Solution to Non-Rigid 3D Shape-To-Image Matching

Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers

FastMask: Segment Multi-Scale Object Candidates in One Shot

Hexiang Hu, Shiyi Lan, Yuning Jiang, Zhimin Cao, Fei Sha

Predictive-Corrective Networks for Action Detection

Achal Dave, Olga Russakovsky, Deva Ramanan

ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification

Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan Russell

Finding Tiny Faces

Peiyun Hu, Deva Ramanan

Semi-Calibrated Near Field Photometric Stereo

Fotios Logothetis, Roberto Mecca, Roberto Cipolla

Exclusivity-Consistency Regularized Multi-View Subspace Clustering

Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li

Weakly Supervised Cascaded Convolutional Networks

Ali Diba, Vivek Sharma, Ali Pazandeh, Hamed Pirsiavash, Luc Van Gool

Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity

Christian Mostegel, Rudolf Prettenthaler, Friedrich Fraundorfer, Horst Bischof

Fast Fourier Color Constancy

Jonathan T. Barron, Yun-Ta Tsai

Simple Does It: Weakly Supervised Instance and Semantic Segmentation

Anna Khoreva, Rodrigo Benenson, Jan Hosang, Matthias Hein, Bernt Schiele

Predicting Ground-Level Scene Layout From Aerial Imagery

Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs

Convolutional Random Walk Networks for Semantic Image Segmentation

Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi

Learning From Noisy Large-Scale Datasets With Minimal Supervision

Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta

Conditional Similarity Networks

Andreas Veit, Serge Belongie, Theofanis Karaletsos

Efficient Solvers for Minimal Problems by Syzygy-Based Reduction

Viktor Larsson, Kalle Åström, Magnus Oskarsson

Recurrent 3D Pose Sequence Machines

Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng

Incremental Kernel Null Space Discriminant Analysis for Novelty Detection

Juncheng Liu, Zhouhui Lian, Yi Wang, Jianguo Xiao