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Papers (including subtopics)

Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees CVPR 2016 Learning Physical Intuition of Block Towers by Example ICML 2016 Learning Reconstruction-Based Remote Gaze Estimation CVPR 2016 Learning Relaxed Deep Supervision for Better Edge Detection CVPR 2016 Learning shape correspondence with anisotropic convolutional neural networks NeurIPS 2016 Learning Structured Inference Neural Networks With Label Relations CVPR 2016 Learning Temporal Regularity in Video Sequences CVPR 2016 Learning to Co-Generate Object Proposals With a Deep Structured Network CVPR 2016 Learning to Localize Little Landmarks CVPR 2016 Learning to Match Aerial Images With Deep Attentive Architectures CVPR 2016 Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network CVPR 2016 Learning under uncertainty: a comparison between R-W and Bayesian approach NeurIPS 2016 Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification CVPR 2016 Learning With Side Information Through Modality Hallucination CVPR 2016 Learnt Quasi-Transitive Similarity for Retrieval From Large Collections of Faces CVPR 2016 Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation CVPR 2016 Local Background Enclosure for RGB-D Salient Object Detection CVPR 2016 Local Similarity-Aware Deep Feature Embedding NeurIPS 2016 LocNet: Improving Localization Accuracy for Object Detection CVPR 2016 LOMo: Latent Ordinal Model for Facial Analysis in Videos CVPR 2016 Loss Functions for Top-k Error: Analysis and Insights CVPR 2016 Macroscopic Interferometry: Rethinking Depth Estimation With Frequency-Domain Time-Of-Flight CVPR 2016 Marr Revisited: 2D-3D Alignment via Surface Normal Prediction CVPR 2016 Material Classification Using Raw Time-Of-Flight Measurements CVPR 2016 Maximal Sparsity with Deep Networks? NeurIPS 2016