compressive sensing

Lower Bounds on Adaptive Sensing for Matrix Recovery NeurIPS 2023 Optimization-Inspired Cross-Attention Transformer for Compressive Sensing CVPR 2023 SpinCam: High-Speed Imaging via a Rotating Point-Spread Function ICCV 2023 Acquiring a Dynamic Light Field Through a Single-Shot Coded Image CVPR 2022 Compressive Single-Photon 3D Cameras CVPR 2022 Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging NeurIPS 2022 HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging CVPR 2022 Signal Recovery with Non-Expansive Generative Network Priors NeurIPS 2022 Spectral DefocusCam: Compressive Hyperspectral Imaging from Defocus Measurements AAAI 2022 The Role of Interactivity in Structured Estimation COLT 2022 Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity NeurIPS 2022 Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton CVPR 2021 A Unified Framework for Compressive Video Recovery From Coded Exposure Techniques WACV 2021 Decentralized multi-agent active search for sparse signals UAI 2021 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021 Generative Patch Priors for Practical Compressive Image Recovery WACV 2021 Group Delay Based Re-Weighted Sparse Recovery Algorithms for Robust and High-Resolution Source Separation in DOA Framework Interspeech 2021 Measuring Robustness in Deep Learning Based Compressive Sensing ICML 2021 Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging ICCV 2021 SNIPS: Solving Noisy Inverse Problems Stochastically NeurIPS 2021 Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser NeurIPS 2021 Toward Nearly-Zero-Error Sketching via Compressive Sensing NSDI 2021 Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation ICML 2020 Finer Metagenomic Reconstruction via Biodiversity Optimization NeurIPS 2020 Invertible generative models for inverse problems: mitigating representation error and dataset bias ICML 2020