object recognition

Toward Guaranteed Illumination Models for Non-convex Objects ICCV 2013 Understanding Bayesian Rooms Using Composite 3D Object Models CVPR 2013 Zero-Shot Learning Through Cross-Modal Transfer NeurIPS 2013 Analyzing 3D Objects in Cluttered Images NeurIPS 2012 Graphical Gaussian Vector for Image Categorization NeurIPS 2012 Learning about Canonical Views from Internet Image Collections NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Semantic Kernel Forests from Multiple Taxonomies NeurIPS 2012 Unsupervised Template Learning for Fine-Grained Object Recognition NeurIPS 2012 An ideal observer model for identifying the reference frame of objects NeurIPS 2011 A Spike and Slab Restricted Boltzmann Machine AISTATS 2011 Boosting with Maximum Adaptive Sampling NeurIPS 2011 Efficient and Effective Visual Codebook Generation Using Additive Kernels JMLR 2011 Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition 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 A Discriminative Latent Model of Image Region and Object Tag Correspondence NeurIPS 2010 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010 Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NeurIPS 2010 (RF)^2 -- Random Forest Random Field NeurIPS 2010 Tiled convolutional neural networks NeurIPS 2010 Using body-anchored priors for identifying actions in single images NeurIPS 2010