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Computer Vision

2,278 papers

Papers per year

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Papers

Do Convnets Learn Correspondence? NIPS 2014
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction NIPS 2014
How transferable are features in deep neural networks? NIPS 2014
Convolutional Kernel Networks NIPS 2014
Projective dictionary pair learning for pattern classification NIPS 2014
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NIPS 2014
Scale Adaptive Blind Deblurring NIPS 2014
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks NIPS 2014
Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014
Trinocular Geometry Revisited CVPR 2014
Semi-supervised Spectral Clustering for Image Set Classification CVPR 2014
The Photometry of Intrinsic Images CVPR 2014
Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras CVPR 2014
Automatic Feature Learning for Robust Shadow Detection CVPR 2014
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers CVPR 2014
A New Perspective on Material Classification and Ink Identification CVPR 2014
Deformable Object Matching via Deformation Decomposition based 2D Label MRF CVPR 2014
The Fastest Deformable Part Model for Object Detection CVPR 2014
A Reverse Hierarchy Model for Predicting Eye Fixations CVPR 2014
Quality Assessment for Comparing Image Enhancement Algorithms CVPR 2014
Bayesian Active Appearance Models CVPR 2014
Three Guidelines of Online Learning for Large-Scale Visual Recognition CVPR 2014
Relative Parts: Distinctive Parts for Learning Relative Attributes CVPR 2014
Active Annotation Translation CVPR 2014
Looking Beyond the Visible Scene CVPR 2014