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Papers (including subtopics)

Inverting Visual Representations With Convolutional Networks CVPR 2016 Iterative Instance Segmentation CVPR 2016 Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition NeurIPS 2016 Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency CVPR 2016 Joint Recovery of Dense Correspondence and Cosegmentation in Two Images CVPR 2016 Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences CVPR 2016 Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds CVPR 2016 Laplacian Patch-Based Image Synthesis CVPR 2016 Layered Scene Decomposition via the Occlusion-CRF CVPR 2016 Learning Activity Progression in LSTMs for Activity Detection and Early Detection CVPR 2016 Learning Dense Correspondence via 3D-Guided Cycle Consistency CVPR 2016 Learning End-to-end Video Classification with Rank-Pooling ICML 2016 Learning Parametric Sparse Models for Image Super-Resolution NeurIPS 2016 Learning Relaxed Deep Supervision for Better Edge Detection CVPR 2016 Learning Sensor Multiplexing Design through Back-propagation NeurIPS 2016 Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks CVPR 2016 Learning Temporal Regularity in Video Sequences CVPR 2016 LOMo: Latent Ordinal Model for Facial Analysis in Videos CVPR 2016 Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels CVPR 2016 Mapping Estimation for Discrete Optimal Transport NeurIPS 2016 Markov Latent Feature Models ICML 2016 Marr Revisited: 2D-3D Alignment via Surface Normal Prediction CVPR 2016 MCMC Shape Sampling for Image Segmentation With Nonparametric Shape Priors CVPR 2016 Memory Efficient Max Flow for Multi-Label Submodular MRFs CVPR 2016 Minimizing the Maximal Rank CVPR 2016