Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms

27 July 2020

Jie Chen

Papers citing "Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms"

50 / 109 papers shown

Title
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising Bihan Wen S. Ravishankar Y. Bresler 15 34 0 03 Oct 2017
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices Caiwen Ding Siyu Liao Yanzhi Wang Zhe Li Ning Liu ... Yipeng Zhang Jian Tang Qinru Qiu Xinyu Lin Bo Yuan GNN 43 260 0 29 Aug 2017
Dilated Deep Residual Network for Image Denoising Tianyang Wang Mingxuan Sun Kaoning Hu MedIm 15 83 0 18 Aug 2017
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models Linxiao Yang Jun Fang Huiping Duan Hongbin Li B. Zeng 31 54 0 08 Aug 2017
Nonconvex Sparse Logistic Regression with Weakly Convex Regularization Xinyue Shen Yuantao Gu 116 31 0 07 Aug 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss Qingsong Yang Pingkun Yan Yanbo Zhang Hengyong Yu Yongyi Shi X. Mou Mannudeep K. Kalra Ge Wang GAN MedIm 55 1,193 0 03 Aug 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 127 5,871 0 10 Jul 2017
Benchmarking Denoising Algorithms with Real Photographs Tobias Plötz Stefan Roth 27 584 0 05 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 108 6,830 0 04 Jul 2017
Exploring Generalization in Deep Learning Behnam Neyshabur Srinadh Bhojanapalli David A. McAllester Nathan Srebro FAtt 129 1,245 0 27 Jun 2017
Recurrent Inference Machines for Solving Inverse Problems P. Putzky Max Welling AI4CE 31 127 0 13 Jun 2017
From Bayesian Sparsity to Gated Recurrent Nets Hao He Bo Xin David Wipf BDL 29 36 0 09 Jun 2017
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising Jun Xu Lei Zhang David C. Zhang Xiangchu Feng 35 278 0 28 May 2017
Implicit Regularization in Matrix Factorization Suriya Gunasekar Blake E. Woodworth Srinadh Bhojanapalli Behnam Neyshabur Nathan Srebro 52 490 0 25 May 2017
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization Xiudong Wang Yuantao Gu OOD 18 28 0 08 May 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 41 285 0 21 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.0K 20,692 0 17 Apr 2017
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution Wei-Sheng Lai Jia-Bin Huang Narendra Ahuja Ming-Hsuan Yang SupR 95 2,435 0 12 Apr 2017
Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces Gen Li Yuantao Gu 39 34 0 07 Apr 2017
A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm Maher Al-Shoukairi P. Schniter Bhaskar D. Rao 24 136 0 08 Mar 2017
Denoising Adversarial Autoencoders Antonia Creswell Anil Anthony Bharath DiffM 42 131 0 03 Mar 2017
Non-Local Color Image Denoising with Convolutional Neural Networks Stamatios Lefkimmiatis SupR 32 336 0 21 Nov 2016
Learning the Number of Neurons in Deep Networks J. Álvarez Mathieu Salzmann 97 413 0 19 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 245 4,612 0 10 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 82 1,852 0 22 Sep 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 309 5,205 0 16 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 219 10,646 0 15 Sep 2016
Medical image denoising using convolutional denoising autoencoders Lovedeep Gondara MedIm 22 559 0 16 Aug 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 109 6,962 0 13 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 97 2,331 0 12 Aug 2016
Accelerating the Super-Resolution Convolutional Neural Network Chao Dong Chen Change Loy Xiaoou Tang SupR 116 2,969 0 01 Aug 2016
Onsager-corrected deep learning for sparse linear inverse problems M. Borgerding Philip Schniter 50 92 0 20 Jul 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 306 18,300 0 27 May 2016
Maximal Sparsity with Deep Networks? Bo Xin Yizhou Wang Wen Gao David Wipf 3DPC 47 167 0 05 May 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han Xingyu Liu Huizi Mao Jing Pu A. Pedram M. Horowitz W. Dally 91 2,453 0 04 Feb 2016
Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing Xin Ding Wei Chen I. Wassell 16 38 0 28 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.2K 192,638 0 10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 159 8,421 0 23 Nov 2015
Staleness-aware Async-SGD for Distributed Deep Learning Wei Zhang Suyog Gupta Xiangru Lian Ji Liu 45 266 0 18 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 88 6,164 0 14 Nov 2015
Deeply-Recursive Convolutional Network for Image Super-Resolution Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 120 2,498 0 14 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 184 8,793 0 01 Oct 2015
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study Suyog Gupta Wei Zhang Fei Wang 34 170 0 14 Sep 2015
Distributed Compressive Sensing: A Deep Learning Approach Hamid Palangi Rabab Ward Li Deng 19 110 0 20 Aug 2015
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration Yunjin Chen Thomas Pock DiffM 35 1,187 0 12 Aug 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 144 18,534 0 06 Feb 2015
Image Super-Resolution Using Deep Convolutional Networks Chao Dong Chen Change Loy Kaiming He Xiaoou Tang SupR 94 8,048 0 31 Dec 2014
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures J. Hershey Jonathan Le Roux F. Weninger BDL 72 430 0 09 Sep 2014
From Denoising to Compressed Sensing Christopher A. Metzler A. Maleki Richard G. Baraniuk 47 616 0 16 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 336 16,972 0 20 Dec 2013