Computer Vision

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NeurIPS 2011 Maximum Margin Multi-Instance Learning NeurIPS 2011 Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution RSS 2011 Multiple Instance Filtering NeurIPS 2011 Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation NeurIPS 2011 Object Detection with Grammar Models NeurIPS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011 Portmanteau Vocabularies for Multi-Cue Image Representation NeurIPS 2011 Predicting response time and error rates in visual search NeurIPS 2011 Probabilistic Joint Image Segmentation and Labeling NeurIPS 2011 Pylon Model for Semantic Segmentation 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 Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets ACML 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Semantic Labeling of 3D Point Clouds for Indoor Scenes NeurIPS 2011 Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NeurIPS 2011 Spatial distance dependent Chinese restaurant processes for image segmentation NeurIPS 2011 Structured Learning for Cell Tracking NeurIPS 2011 Testing a Bayesian Measure of Representativeness Using a Large Image Database NeurIPS 2011 Tracking-Based Semi-Supervised Learning RSS 2011 Transfer Learning by Borrowing Examples for Multiclass Object Detection NeurIPS 2011 Understanding the Intrinsic Memorability of Images NeurIPS 2011 Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data JMLR 2011 Video Annotation and Tracking with Active Learning NeurIPS 2011