Object Detection

Boosting with Maximum Adaptive Sampling NeurIPS 2011 Cross-Domain Object Matching with Model Selection AISTATS 2011 Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits NeurIPS 2011 Exploiting spatial overlap to efficiently compute appearance distances between image windows NeurIPS 2011 Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NeurIPS 2011 Generalized Lasso based Approximation of Sparse Coding for Visual Recognition NeurIPS 2011 Large-Scale Category Structure Aware Image Categorization NeurIPS 2011 Learning a Tree of Metrics with Disjoint Visual Features NeurIPS 2011 Learning person-object interactions for action recognition in still images NeurIPS 2011 Matrix Completion for Multi-label Image Classification NeurIPS 2011 Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning NeurIPS 2011 Maximum Margin Multi-Instance Learning 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 Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound NeurIPS 2011 Selecting Receptive Fields in Deep Networks NeurIPS 2011 Transfer Learning by Borrowing Examples for Multiclass Object Detection NeurIPS 2011 Why The Brain Separates Face Recognition From Object Recognition NeurIPS 2011 A biologically plausible network for the computation of orientation dominance NeurIPS 2010 Boosting Classifier Cascades NeurIPS 2010 Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach NeurIPS 2010 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010 Learning from Candidate Labeling Sets NeurIPS 2010 Learning to combine foveal glimpses with a third-order Boltzmann machine NeurIPS 2010