Application Areas

Where are they looking? NeurIPS 2015 Depth Map Prediction from a Single Image using a Multi-Scale Deep Network NeurIPS 2014 Do Convnets Learn Correspondence? NeurIPS 2014 Do Deep Nets Really Need to be Deep? NeurIPS 2014 Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation NeurIPS 2014 Learning Deep Features for Scene Recognition using Places Database NeurIPS 2014 Recursive Context Propagation Network for Semantic Scene Labeling NeurIPS 2014 Deep Fisher Networks for Large-Scale Image Classification NeurIPS 2013 Deep Neural Networks for Object Detection NeurIPS 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Convolutional-Recursive Deep Learning for 3D Object Classification NeurIPS 2012 Deep Representations and Codes for Image Auto-Annotation NeurIPS 2012 Distributed Probabilistic Learning for Camera Networks with Missing Data NeurIPS 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Learning to Align from Scratch NeurIPS 2012 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 Im2Text: Describing Images Using 1 Million Captioned Photographs NeurIPS 2011 Learning to Learn with Compound HD Models NeurIPS 2011 Pose-Sensitive Embedding by Nonlinear NCA Regression NeurIPS 2010 Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NeurIPS 2009 Measuring Invariances in Deep Networks NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 Learning Dense 3D Correspondence NeurIPS 2006