Computer Vision

Image Denoising and Inpainting with Deep Neural Networks NeurIPS 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Kernel Latent SVM for Visual Recognition NeurIPS 2012 Learning about Canonical Views from Internet Image Collections NeurIPS 2012 Learning Image Descriptors with the Boosting-Trick NeurIPS 2012 Learning Low-order Models for Enforcing High-order Statistics AISTATS 2012 Learning the Architecture of Sum-Product Networks Using Clustering on Variables NeurIPS 2012 Learning to Align from Scratch NeurIPS 2012 Learning visual motion in recurrent neural networks NeurIPS 2012 Learning with Recursive Perceptual Representations NeurIPS 2012 Localizing 3D cuboids in single-view images NeurIPS 2012 Local Kernel Density Ratio-Based Feature Selection for Outlier Detection ACML 2012 Locally Uniform Comparison Image Descriptor NeurIPS 2012 Max-Margin Structured Output Regression for Spatio-Temporal Action Localization NeurIPS 2012 Memorability of Image Regions NeurIPS 2012 Multi-criteria Anomaly Detection using Pareto Depth Analysis NeurIPS 2012 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NeurIPS 2012 Multiple Texture Boltzmann Machines AISTATS 2012 Multiresolution Deep Belief Networks AISTATS 2012 Natural Images, Gaussian Mixtures and Dead Leaves NeurIPS 2012 Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction RSS 2012 Non-Sparse Multiple Kernel Fisher Discriminant Analysis JMLR 2012 On the connections between saliency and tracking NeurIPS 2012 Part & Clamp: Efficient Structured Output Learning AISTATS 2012 Practical Large Scale Classification with Additive Kernels ACML 2012