Core AI

Heavy-tailed Distances for Gradient Based Image Descriptors NeurIPS 2011 Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms NeurIPS 2011 Learning a Tree of Metrics with Disjoint Visual Features NeurIPS 2011 Learning person-object interactions for action recognition in still images NeurIPS 2011 Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NeurIPS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011 Predicting response time and error rates in visual search NeurIPS 2011 Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound NeurIPS 2011 Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Understanding the Intrinsic Memorability of Images NeurIPS 2011 A Bayesian Framework for Figure-Ground Interpretation NeurIPS 2010 A biologically plausible network for the computation of orientation dominance NeurIPS 2010 A Discriminative Latent Model of Image Region and Object Tag Correspondence NeurIPS 2010 An Alternative to Low-level-Sychrony-Based Methods for Speech Detection NeurIPS 2010 Factorized Latent Spaces with Structured Sparsity NeurIPS 2010 Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike NeurIPS 2010 Kernel Descriptors for Visual Recognition NeurIPS 2010 Large-Scale Matrix Factorization with Missing Data under Additional Constraints NeurIPS 2010 Learning Convolutional Feature Hierarchies for Visual Recognition NeurIPS 2010 Learning to combine foveal glimpses with a third-order Boltzmann machine NeurIPS 2010 Learning To Count Objects in Images NeurIPS 2010 Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NeurIPS 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 Size Matters: Metric Visual Search Constraints from Monocular Metadata NeurIPS 2010