Scene Understanding

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 Exponential Family Graph Matching and Ranking NeurIPS 2009 Filtering Abstract Senses From Image Search Results NeurIPS 2009 Individuation, Identification and Object Discovery NeurIPS 2009 Learning models of object structure NeurIPS 2009 Learning transport operators for image manifolds NeurIPS 2009 Measuring Invariances in Deep Networks NeurIPS 2009 On Invariance in Hierarchical Models NeurIPS 2009 Region-based Segmentation and Object Detection NeurIPS 2009 Segmenting Scenes by Matching Image Composites NeurIPS 2009 Sparse and Locally Constant Gaussian Graphical Models NeurIPS 2009 Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing NeurIPS 2009 The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 The 'tree-dependent components' of natural scenes are edge filters NeurIPS 2009 Unsupervised Detection of Regions of Interest Using Iterative Link Analysis NeurIPS 2009 A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NeurIPS 2008 Cascaded Classification Models: Combining Models for Holistic Scene Understanding NeurIPS 2008 Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NeurIPS 2008 Dynamic visual attention: searching for coding length increments NeurIPS 2008 Grouping Contours Via a Related Image NeurIPS 2008 Learning Transformational Invariants from Natural Movies NeurIPS 2008 Multiscale Random Fields with Application to Contour Grouping NeurIPS 2008