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Representation Learning

401 directly classified papers

Papers per year

Papers

Dynamic Image Networks for Action Recognition CVPR 2016
Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video CVPR 2016
Learning Structured Inference Neural Networks With Label Relations CVPR 2016
Learning Relaxed Deep Supervision for Better Edge Detection CVPR 2016
Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data CVPR 2016
Dynamically Encoded Actions Based on Spacetime Saliency CVPR 2015
Deep Roto-Translation Scattering for Object Classification CVPR 2015
Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors CVPR 2015
Mid-Level Deep Pattern Mining CVPR 2015
Region-based Discriminative Feature Pooling for Scene Text Recognition CVPR 2014
Learning Mid-level Filters for Person Re-identification CVPR 2014
Efficient Feature Extraction, Encoding and Classification for Action Recognition CVPR 2014
Convolutional Kernel Networks NIPS 2014
Compressible Motion Fields CVPR 2013
Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization CVPR 2013
Real-Time No-Reference Image Quality Assessment Based on Filter Learning CVPR 2013
Adaptive dropout for training deep neural networks NIPS 2013
Fast Convolutional Sparse Coding CVPR 2013
BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition CVPR 2013
Practical Variational Inference for Neural Networks NIPS 2011
Selecting Receptive Fields in Deep Networks NIPS 2011
Layer-wise analysis of deep networks with Gaussian kernels NIPS 2010
Kernel Descriptors for Visual Recognition NIPS 2010
Efficient Match Kernel between Sets of Features for Visual Recognition NIPS 2009
Using matrices to model symbolic relationship NIPS 2008