Computer Vision

Generating more realistic images using gated MRF's NeurIPS 2010 Group Sparse Coding with a Laplacian Scale Mixture Prior NeurIPS 2010 Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NeurIPS 2010 Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles NeurIPS 2010 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010 Kernel Descriptors for Visual Recognition NeurIPS 2010 Large Margin Learning of Upstream Scene Understanding Models NeurIPS 2010 Large-Scale Matrix Factorization with Missing Data under Additional Constraints NeurIPS 2010 Layered image motion with explicit occlusions, temporal consistency, and depth ordering NeurIPS 2010 Learning Convolutional Feature Hierarchies for Visual Recognition NeurIPS 2010 Learning from Candidate Labeling Sets NeurIPS 2010 Learning to combine foveal glimpses with a third-order Boltzmann machine NeurIPS 2010 Learning To Count Objects in Images NeurIPS 2010 Locally Linear Denoising on Image Manifolds AISTATS 2010 Movement extraction by detecting dynamics switches and repetitions NeurIPS 2010 Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NeurIPS 2010 Network Flow Algorithms for Structured Sparsity NeurIPS 2010 Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NeurIPS 2010 Occlusion Detection and Motion Estimation with Convex Optimization NeurIPS 2010 Pose-Sensitive Embedding by Nonlinear NCA Regression NeurIPS 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 Probabilistic Lane Estimation using Basis Curves RSS 2010 Regularized estimation of image statistics by Score Matching NeurIPS 2010 (RF)^2 -- Random Forest Random Field NeurIPS 2010 Segmentation and Unsupervised Part-based Discovery of Repetitive Objects RSS 2010