computer vision

Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NeurIPS 2014 Jointly Informative Feature Selection AISTATS 2014 Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014 Multi-source Deep Learning for Human Pose Estimation CVPR 2014 Partial Symmetry in Polynomial Systems and its Applications in Computer Vision CVPR 2014 Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision NeurIPS 2014 Shape and Illumination from Shading using the Generic Viewpoint Assumption NeurIPS 2014 Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction CVPR 2014 Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths NeurIPS 2013 Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NeurIPS 2013 Boundary Cues for 3D Object Shape Recovery CVPR 2013 City-Scale Change Detection in Cadastral 3D Models Using Images CVPR 2013 Continuous Inference in Graphical Models with Polynomial Energies CVPR 2013 Deep Neural Networks for Object Detection NeurIPS 2013 Deformable Graph Matching CVPR 2013 Discriminative Segment Annotation in Weakly Labeled Video CVPR 2013 Dynamic Structured Model Selection ICCV 2013 GRASP Recurring Patterns from a Single View CVPR 2013 HOGgles: Visualizing Object Detection Features ICCV 2013 Learning invariant representations and applications to face verification NeurIPS 2013 Learning the Local Statistics of Optical Flow NeurIPS 2013 Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures ICML 2013 Permutation estimation and minimax rates of identifiability AISTATS 2013 Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees ICCV 2013 Segmentation Driven Object Detection with Fisher Vectors ICCV 2013