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Papers (including subtopics)

Direct Prediction of 3D Body Poses From Motion Compensated Sequences CVPR 2016 Discovering the Physical Parts of an Articulated Object Class From Multiple Videos CVPR 2016 Discriminative Hierarchical Rank Pooling for Activity Recognition CVPR 2016 Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation CVPR 2016 Discriminatively-guided Deliberative Perception for Pose Estimation of Multiple 3D Object Instances RSS 2016 Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition CVPR 2016 Do Computational Models Differ Systematically From Human Object Perception? CVPR 2016 Dynamic Image Networks for Action Recognition CVPR 2016 Efficient 3D Room Shape Recovery From a Single Panorama CVPR 2016 Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow CVPR 2016 Efficient Deep Learning for Stereo Matching CVPR 2016 Efficient Globally Optimal 2D-To-3D Deformable Shape Matching CVPR 2016 Efficient Indexing of Billion-Scale Datasets of Deep Descriptors CVPR 2016 Efficient Intersection of Three Quadrics and Applications in Computer Vision CVPR 2016 Efficient Large-Scale Similarity Search Using Matrix Factorization CVPR 2016 Efficiently Creating 3D Training Data for Fine Hand Pose Estimation CVPR 2016 Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation CVPR 2016 Efficient Point Process Inference for Large-Scale Object Detection CVPR 2016 Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold CVPR 2016 Egocentric Future Localization CVPR 2016 Embedding Label Structures for Fine-Grained Feature Representation CVPR 2016 EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild CVPR 2016 End-to-End Kernel Learning with Supervised Convolutional Kernel Networks NeurIPS 2016 End-To-End Learning of Action Detection From Frame Glimpses in Videos CVPR 2016 End-To-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation CVPR 2016