Papers
Learning From Noisy Web Data With Category-Level Supervision
Li Niu, Qingtao Tang, Ashok Veeraraghavan et al.
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain et al.
Learning Generative ConvNets via Multi-Grid Modeling and Sampling
Ruiqi Gao, Yang Lu, Junpei Zhou et al.
Learning Globally Optimized Object Detector via Policy Gradient
Yongming Rao, Dahua Lin, Jiwen Lu et al.
Learning Intelligent Dialogs for Bounding Box Annotation
Ksenia Konyushkova, Jasper Uijlings, Christoph H. Lampert et al.
Learning Intrinsic Image Decomposition From Watching the World
Zhengqi Li, Noah Snavely
Learning Latent Super-Events to Detect Multiple Activities in Videos
AJ Piergiovanni, Michael S. Ryoo
Learning Less Is More - 6D Camera Localization via 3D Surface Regression
Eric Brachmann, Carsten Rother
Learning Markov Clustering Networks for Scene Text Detection
Zichuan Liu, Guosheng Lin, Sheng Yang et al.
Learning Monocular 3D Human Pose Estimation From Multi-View Images
Helge Rhodin, Jörg Spörri, Isinsu Katircioglu et al.
Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances
Kai Liu, Hua Wang, Feiping Nie et al.
Learning Patch Reconstructability for Accelerating Multi-View Stereo
Alex Poms, Chenglei Wu, Shoou-I Yu et al.
Learning Pose Specific Representations by Predicting Different Views
Georg Poier, David Schinagl, Horst Bischof
Learning Rich Features for Image Manipulation Detection
Peng Zhou, Xintong Han, Vlad I. Morariu et al.
Learning Semantic Concepts and Order for Image and Sentence Matching
Yan Huang, Qi Wu, Chunfeng Song et al.
Learning Spatial-Aware Regressions for Visual Tracking
Chong Sun, Dong Wang, Huchuan Lu et al.
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
Feng Li, Cheng Tian, Wangmeng Zuo et al.
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler, Fred A. Hamprecht, Martin Storath
Learning Strict Identity Mappings in Deep Residual Networks
Xin Yu, Zhiding Yu, Srikumar Ramalingam
Learning Structure and Strength of CNN Filters for Small Sample Size Training
Rohit Keshari, Mayank Vatsa, Richa Singh et al.
Learning Superpixels With Segmentation-Aware Affinity Loss
Wei-Chih Tu, Ming-Yu Liu, Varun Jampani et al.
Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks
Tom Véniat, Ludovic Denoyer
Learning to Act Properly: Predicting and Explaining Affordances From Images
Ching-Yao Chuang, Jiaman Li, Antonio Torralba et al.
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter et al.