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Papers (including subtopics)

DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations CVPR 2016 Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled CVPR 2016 DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed With Deep Features CVPR 2016 Deep Region and Multi-Label Learning for Facial Action Unit Detection CVPR 2016 Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles CVPR 2016 Deep Residual Learning for Image Recognition CVPR 2016 Deep Saliency With Encoded Low Level Distance Map and High Level Features CVPR 2016 Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images CVPR 2016 DeepStereo: Learning to Predict New Views From the World's Imagery CVPR 2016 Deep Structured Energy Based Models for Anomaly Detection ICML 2016 Deep Structured Scene Parsing by Learning With Image Descriptions CVPR 2016 Deep Supervised Hashing for Fast Image Retrieval CVPR 2016 DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes CVPR 2016 DenseCap: Fully Convolutional Localization Networks for Dense Captioning CVPR 2016 Dense Human Body Correspondences Using Convolutional Networks CVPR 2016 Dense Monocular Depth Estimation in Complex Dynamic Scenes CVPR 2016 Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions NeurIPS 2016 Depth From Semi-Calibrated Stereo and Defocus CVPR 2016 Detecting Migrating Birds at Night CVPR 2016 Detecting Repeating Objects Using Patch Correlation Analysis CVPR 2016 Detecting Vanishing Points Using Global Image Context in a Non-Manhattan World CVPR 2016 Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions CVPR 2016 Determining Occlusions From Space and Time Image Reconstructions CVPR 2016 DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection CVPR 2016 Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection CVPR 2016