Computer Vision

Bilinear classifiers for visual recognition NeurIPS 2009 Canonical Time Warping for Alignment of Human Behavior NeurIPS 2009 Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection NeurIPS 2009 Convex Relaxation of Mixture Regression with Efficient Algorithms NeurIPS 2009 Efficient Match Kernel between Sets of Features for Visual Recognition NeurIPS 2009 Estimating image bases for visual image reconstruction from human brain activity NeurIPS 2009 Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NeurIPS 2009 Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out NeurIPS 2009 Fast Image Deconvolution using Hyper-Laplacian Priors NeurIPS 2009 Filtering Abstract Senses From Image Search Results NeurIPS 2009 fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity NeurIPS 2009 Group Sparse Coding NeurIPS 2009 Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions NeurIPS 2009 Individuation, Identification and Object Discovery NeurIPS 2009 Learning a Small Mixture of Trees NeurIPS 2009 Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data NeurIPS 2009 Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NeurIPS 2009 Learning models of object structure NeurIPS 2009 Learning transport operators for image manifolds NeurIPS 2009 Maximin affinity learning of image segmentation NeurIPS 2009 Measuring Invariances in Deep Networks NeurIPS 2009 No evidence for active sparsification in the visual cortex NeurIPS 2009 Nonlinear Learning using Local Coordinate Coding NeurIPS 2009