compressive sensing

Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration CVPR 2018 On Learning Sparsely Used Dictionaries from Incomplete Samples ICML 2018 Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds NeurIPS 2018 Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017 Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NeurIPS 2017 Learned D-AMP: Principled Neural Network based Compressive Image Recovery NeurIPS 2017 Near Optimal Sketching of Low-Rank Tensor Regression NeurIPS 2017 Phase Transitions in the Pooled Data Problem NeurIPS 2017 Towards Understanding the Invertibility of Convolutional Neural Networks IJCAI 2017 Deep ADMM-Net for Compressive Sensing MRI NeurIPS 2016 Fast recovery from a union of subspaces NeurIPS 2016 Maximal Sparsity with Deep Networks? NeurIPS 2016 Random Features for Sparse Signal Classification CVPR 2016 ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements CVPR 2016 Structured Matrix Recovery via the Generalized Dantzig Selector NeurIPS 2016 A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data ICML 2015 Ambient Occlusion via Compressive Visibility Estimation CVPR 2015 A Simple Homotopy Algorithm for Compressive Sensing AISTATS 2015 b-bit Marginal Regression NeurIPS 2015 Fast and Accurate Head Pose Estimation via Random Projection Forests ICCV 2015 FPA-CS: Focal Plane Array-Based Compressive Imaging in Short-Wave Infrared CVPR 2015 Frequency-Based Environment Matting by Compressive Sensing ICCV 2015 Geometric Conditions for Subspace-Sparse Recovery ICML 2015 Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior ICCV 2015 Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015