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Representation Learning

4516 directly classified papers

Papers per year

Papers

Dynamic Image Networks for Action Recognition CVPR 2016
Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition CVPR 2016
End-To-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation CVPR 2016
Actor-Action Semantic Segmentation With Grouping Process Models CVPR 2016
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation CVPR 2016
Gaussian Conditional Random Field Network for Semantic Segmentation CVPR 2016
Newtonian Scene Understanding: Unfolding the Dynamics of Objects in Static Images CVPR 2016
Learning to Match Aerial Images With Deep Attentive Architectures CVPR 2016
Attention to Scale: Scale-Aware Semantic Image Segmentation CVPR 2016
Iterative Instance Segmentation CVPR 2016
In Defense of Sparse Tracking: Circulant Sparse Tracker CVPR 2016
Sparse Coding and Dictionary Learning With Linear Dynamical Systems CVPR 2016
Deep Metric Learning via Lifted Structured Feature Embedding 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