Papers
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov, Maxwell D. Collins, Yukun Zhu et al.
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 et al.
A Combinatorial Solution to Non-Rigid 3D Shape-To-Image Matching
Florian Bernard, Frank R. Schmidt, Johan Thunberg et al.
FastMask: Segment Multi-Scale Object Candidates in One Shot
Hexiang Hu, Shiyi Lan, Yuning Jiang et al.
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 et al.
Visual-Inertial-Semantic Scene Representation for 3D Object Detection
Jingming Dong, Xiaohan Fei, Stefano Soatto
Finding Tiny Faces
Peiyun Hu, Deva Ramanan
Semi-Calibrated Near Field Photometric Stereo
Fotios Logothetis, Roberto Mecca, Roberto Cipolla
Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing
Ke Gong, Xiaodan Liang, Dongyu Zhang et al.
Exclusivity-Consistency Regularized Multi-View Subspace Clustering
Xiaobo Wang, Xiaojie Guo, Zhen Lei et al.
Weakly Supervised Cascaded Convolutional Networks
Ali Diba, Vivek Sharma, Ali Pazandeh et al.
Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity
Christian Mostegel, Rudolf Prettenthaler, Friedrich Fraundorfer et al.
Attend to You: Personalized Image Captioning With Context Sequence Memory Networks
Cesc Chunseong Park, Byeongchang Kim, Gunhee Kim
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 et al.
Predicting Ground-Level Scene Layout From Aerial Imagery
Menghua Zhai, Zachary Bessinger, Scott Workman et al.
Convolutional Random Walk Networks for Semantic Image Segmentation
Gedas Bertasius, Lorenzo Torresani, Stella X. Yu et al.
Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection
Xiaodan Liang, Lisa Lee, Eric P. Xing
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit, Neil Alldrin, Gal Chechik et al.
Conditional Similarity Networks
Andreas Veit, Serge Belongie, Theofanis Karaletsos
Efficient Solvers for Minimal Problems by Syzygy-Based Reduction
Viktor Larsson, Kalle Astrom, Magnus Oskarsson
Recurrent 3D Pose Sequence Machines
Mude Lin, Liang Lin, Xiaodan Liang et al.