Core AI

Information Bottleneck Learning Using Privileged Information for Visual Recognition CVPR 2016 Integrated perception with recurrent multi-task neural networks NeurIPS 2016 InterActive: Inter-Layer Activeness Propagation CVPR 2016 Inverting Visual Representations With Convolutional Networks CVPR 2016 Learnable Visual Markers NeurIPS 2016 Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation CVPR 2016 Learning Deep Features for Discriminative Localization CVPR 2016 Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions CVPR 2016 Learning to Match Aerial Images With Deep Attentive Architectures CVPR 2016 Local Similarity-Aware Deep Feature Embedding NeurIPS 2016 Mining Discriminative Triplets of Patches for Fine-Grained Classification CVPR 2016 Min Norm Point Algorithm for Higher Order MRF-MAP Inference CVPR 2016 Multivariate Regression on the Grassmannian for Predicting Novel Domains CVPR 2016 Multi-View Deep Network for Cross-View Classification CVPR 2016 Multi-View People Tracking via Hierarchical Trajectory Composition CVPR 2016 Optimal Relative Pose With Unknown Correspondences CVPR 2016 Pairwise Matching Through Max-Weight Bipartite Belief Propagation CVPR 2016 Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry CVPR 2016 Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016 Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion CVPR 2016 Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation CVPR 2016 Rotational Crossed-Slit Light Field CVPR 2016 SemiContour: A Semi-Supervised Learning Approach for Contour Detection CVPR 2016 Shallow and Deep Convolutional Networks for Saliency Prediction CVPR 2016 Solving Small-Piece Jigsaw Puzzles by Growing Consensus CVPR 2016