Computer Vision

Latent Data Association: Bayesian Model Selection for Multi-target Tracking ICCV 2013 Latent Multitask Learning for View-Invariant Action Recognition ICCV 2013 Latent Structured Active Learning NeurIPS 2013 Layer Depth Denoising and Completion for Structured-Light RGB-D Cameras CVPR 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning a Dictionary of Shape Epitomes with Applications to Image Labeling ICCV 2013 Learning a Manifold as an Atlas CVPR 2013 Learning and Calibrating Per-Location Classifiers for Visual Place Recognition CVPR 2013 Learning Binary Codes for High-Dimensional Data Using Bilinear Projections CVPR 2013 Learning by Associating Ambiguously Labeled Images CVPR 2013 Learning Class-to-Image Distance with Object Matchings CVPR 2013 Learning Collections of Part Models for Object Recognition CVPR 2013 Learning Compact Binary Codes for Visual Tracking CVPR 2013 Learning CRFs for Image Parsing with Adaptive Subgradient Descent ICCV 2013 Learning Cross-Domain Information Transfer for Location Recognition and Clustering CVPR 2013 Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions CVPR 2013 Learning Discriminative Part Detectors for Image Classification and Cosegmentation ICCV 2013 Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013 Learning from Limited Demonstrations NeurIPS 2013 Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes ICCV 2013 Learning Graphs to Match ICCV 2013 Learning invariant features by harnessing the aperture problem ICML 2013 Learning invariant representations and applications to face verification NeurIPS 2013 Learning Locally-Adaptive Decision Functions for Person Verification CVPR 2013