Deep Compressed Sensing

16 May 2019

Papers citing "Deep Compressed Sensing"

28 / 28 papers shown

Title
Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignment Yi-Jen Yang Ming-Hsun Yang Jwo-Yuh Wu Y.-W. Peter Hong 39 0 0 14 Jun 2024
$Learning Trees of $\ell_0$-Minimization Problems$ Learning Trees of $\ell_0$ -Minimization Problems G. Welper 21 0 0 06 Feb 2023
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution Tushar Agarwal Nithin Sugavanam Emre Ertin GAN 21 2 0 30 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 10 52 0 20 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models Xiangming Meng Y. Kabashima DiffM 29 11 0 02 Nov 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 43 4 0 11 Oct 2022
MetaDIP: Accelerating Deep Image Prior with Meta Learning Kevin Zhang Mingyang Xie Maharshi Gor Yi-Ting Chen Yvonne Zhou Christopher A. Metzler AI4CE 18 5 0 18 Sep 2022
Landscape Learning for Neural Network Inversion Ruoshi Liu Chen-Guang Mao Purva Tendulkar Hongya Wang Carl Vondrick 35 8 0 17 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 38 11 0 31 May 2022
Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification Abhishek Gupta Sruthi Nair Raunak Joshi V. Chitre 23 5 0 25 May 2022
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence Brandon Yushan Feng Mingyang Xie Christopher A. Metzler ViT 28 14 0 13 Mar 2022
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi Ma 25 30 0 12 Nov 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection Xu Guo Boyang Albert Li Han Yu Chunyan Miao AAML 28 17 0 19 Apr 2021
Learned Gradient Compression for Distributed Deep Learning L. Abrahamyan Yiming Chen Giannis Bekoulis Nikos Deligiannis 32 45 0 16 Mar 2021
Scalable Deep Compressive Sensing Zhonghao Zhang Yipeng Liu Xingyu Cao Fei Wen Ce Zhu 13 2 0 20 Jan 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Multi-Scale Deep Compressive Imaging Thuong Nguyen Canh B. Jeon 15 17 0 03 Aug 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chia-Ju Chen Turkay Kart Huaqi Qiu Daniel Rueckert 22 205 0 20 Jul 2020
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner Eugene Lee E. Chen Chen-Yi Lee 16 159 0 14 Jul 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 24 26 0 15 Jun 2020
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing Zhonghao Zhang Yipeng Liu Jiani Liu Fei Wen Ce Zhu 17 206 0 21 Apr 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
Deep S $^3$ PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models Christopher A. Metzler Gordon Wetzstein 20 11 0 14 Feb 2020
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems Oscar Leong W. Sakla GAN 14 7 0 23 Oct 2019
Bayesian Inference with Generative Adversarial Network Priors Dhruv V. Patel Assad A. Oberai GAN AI4CE 25 17 0 22 Jul 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors Gauri Jagatap C. Hegde 26 70 0 20 Jun 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,684 0 09 Mar 2017
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 250 3,190 0 30 Oct 2016