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Representation Learning

4516 directly classified papers

Papers per year

Papers

DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection CVPR 2016
SketchNet: Sketch Classification With Web Images CVPR 2016
Mining Discriminative Triplets of Patches for Fine-Grained Classification CVPR 2016
A Key Volume Mining Deep Framework for Action Recognition CVPR 2016
A Task-Oriented Approach for Cost-Sensitive Recognition CVPR 2016
What Players Do With the Ball: A Physically Constrained Interaction Modeling CVPR 2016
Highlight Detection With Pairwise Deep Ranking for First-Person Video Summarization CVPR 2016
We Are Humor Beings: Understanding and Predicting Visual Humor CVPR 2016
Structured Feature Learning for Pose Estimation CVPR 2016
Inverting Visual Representations With Convolutional Networks CVPR 2016
Pose-Aware Face Recognition in the Wild CVPR 2016
Multi-View Deep Network for Cross-View Classification CVPR 2016
Sparsifying Neural Network Connections for Face Recognition CVPR 2016
Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation CVPR 2016
Sparseness Meets Deepness: 3D Human Pose Estimation From Monocular Video CVPR 2016
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes CVPR 2016
Learning Deep Structure-Preserving Image-Text Embeddings CVPR 2016
Deep Canonical Time Warping CVPR 2016
Learning Deep Representation for Imbalanced Classification CVPR 2016
Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions CVPR 2016
Efficient 3D Room Shape Recovery From a Single Panorama CVPR 2016
Structured Prediction of Unobserved Voxels From a Single Depth Image CVPR 2016
Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation CVPR 2016
Sparse Coding for Classification via Discrimination Ensemble CVPR 2016
TenSR: Multi-Dimensional Tensor Sparse Representation CVPR 2016