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Computer Vision

40,842 papers (88 classified directly here)

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Papers (including subtopics)

PatchBatch: A Batch Augmented Loss for Optical Flow CVPR 2016 Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction CVPR 2016 Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry CVPR 2016 Personalizing Human Video Pose Estimation CVPR 2016 Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss Function CVPR 2016 Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision NeurIPS 2016 Picking Deep Filter Responses for Fine-Grained Image Recognition CVPR 2016 Piecewise-Planar 3D Approximation From Wide-Baseline Stereo CVPR 2016 Pixel Recurrent Neural Networks ICML 2016 POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models CVPR 2016 Pose-Aware Face Recognition in the Wild CVPR 2016 PPP: Joint Pointwise and Pairwise Image Label Prediction CVPR 2016 Predicting Motivations of Actions by Leveraging Text CVPR 2016 Predicting the Where and What of Actors and Actions Through Online Action Localization CVPR 2016 Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent CVPR 2016 Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions CVPR 2016 Prior-Less Compressible Structure From Motion CVPR 2016 Professor Forcing: A New Algorithm for Training Recurrent Networks NeurIPS 2016 Progressive Feature Matching With Alternate Descriptor Selection and Correspondence Enrichment CVPR 2016 Progressively Parsing Interactional Objects for Fine Grained Action Detection CVPR 2016 Progressive Prioritized Multi-View Stereo CVPR 2016 Proposal Flow CVPR 2016 Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images NeurIPS 2016 Proximal Deep Structured Models NeurIPS 2016 PSyCo: Manifold Span Reduction for Super Resolution CVPR 2016