computer vision

Towards Fast and Accurate Segmentation CVPR 2013 Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow CVPR 2013 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model NeurIPS 2012 DARWIN: A Framework for Machine Learning and Computer Vision Research and Development JMLR 2012 Deep Learning of Invariant Features via Simulated Fixations in Video NeurIPS 2012 Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs JMLR 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Kernel Latent SVM for Visual Recognition NeurIPS 2012 Locally Uniform Comparison Image Descriptor NeurIPS 2012 Part & Clamp: Efficient Structured Output Learning AISTATS 2012 Boosting with Maximum Adaptive Sampling NeurIPS 2011 Exploiting spatial overlap to efficiently compute appearance distances between image windows NeurIPS 2011 Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm AISTATS 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 unified model of short-range and long-range motion perception 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 Occlusion Detection and Motion Estimation with Convex Optimization NeurIPS 2010 Measuring Invariances in Deep Networks NeurIPS 2009 The 'tree-dependent components' of natural scenes are edge filters NeurIPS 2009 Grouping Contours Via a Related Image NeurIPS 2008