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Representation Learning

18863 directly classified papers

Papers per year

Papers

Visual Tracking Using Attention-Modulated Disintegration and Integration CVPR 2016
Deep Canonical Time Warping CVPR 2016
Sliced Wasserstein Kernels for Probability Distributions CVPR 2016
Synthesized Classifiers for Zero-Shot Learning CVPR 2016
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization CVPR 2016
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity CVPR 2016
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns CVPR 2016
In Defense of Sparse Tracking: Circulant Sparse Tracker CVPR 2016
Sparse Coding and Dictionary Learning With Linear Dynamical Systems CVPR 2016
Cross-Stitch Networks for Multi-Task Learning CVPR 2016
Structured Feature Learning for Pose Estimation CVPR 2016
Convolutional Pose Machines CVPR 2016
Human Pose Estimation With Iterative Error Feedback CVPR 2016
When VLAD Met Hilbert CVPR 2016
Estimating Correspondences of Deformable Objects "In-The-Wild" CVPR 2016
Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation CVPR 2016
Comparative Deep Learning of Hybrid Representations for Image Recommendations CVPR 2016
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection CVPR 2016
Hierarchical Gaussian Descriptor for Person Re-Identification CVPR 2016
Joint Learning of Single-Image and Cross-Image Representations for Person Re-Identification CVPR 2016
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis CVPR 2016
Gaussian Conditional Random Field Network for Semantic Segmentation CVPR 2016
TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks CVPR 2016
Learning Aligned Cross-Modal Representations From Weakly Aligned Data CVPR 2016
Action Recognition in Video Using Sparse Coding and Relative Features CVPR 2016