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compressive sensing

126 papers

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Also known as

HCS CS

Co-occurring keywords

image reconstruction (663) sparse recovery (113) compressed sensing (198) convex optimization (1320) convolutional neural network (4216) neural network (6616) dictionary learning (277) signal reconstruction (43) phase retrieval (57) hyperspectral imaging (82)

Papers

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging NIPS 2022
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging CVPR 2022
Signal Recovery with Non-Expansive Generative Network Priors NIPS 2022
Group Delay Based Re-Weighted Sparse Recovery Algorithms for Robust and High-Resolution Source Separation in DOA Framework INTERSPEECH 2021
Decentralized multi-agent active search for sparse signals UAI 2021
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021
A Unified Framework for Compressive Video Recovery From Coded Exposure Techniques WACV 2021
Generative Patch Priors for Practical Compressive Image Recovery WACV 2021
SNIPS: Solving Noisy Inverse Problems Stochastically NIPS 2021
Toward Nearly-Zero-Error Sketching via Compressive Sensing NSDI 2021
Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging ICCV 2021
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser NIPS 2021
Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton CVPR 2021
Measuring Robustness in Deep Learning Based Compressive Sensing ICML 2021
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors ICML 2020
Invertible generative models for inverse problems: mitigating representation error and dataset bias ICML 2020
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NIPS 2020
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing ICML 2020
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation ICML 2020
Finer Metagenomic Reconstruction via Biodiversity Optimization NIPS 2020
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression AAAI 2019
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks NIPS 2019
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior CVPR 2019
Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations ICCV 2019