ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1607.01895
  4. Cited By
Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of
  JPEG Images

Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images

7 July 2016
Xianming Liu
Gene Cheung
Xiaolin Wu
Debin Zhao
ArXiv (abs)PDFHTML

Papers citing "Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images"

22 / 22 papers shown
Title
Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect
  Alignment
Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect Alignment
Chinthaka Dinesh
Gene Cheung
Saghar Bagheri
Ivan V. Bajić
49
3
0
18 Aug 2022
Fast Computation of Generalized Eigenvectors for Manifold Graph
  Embedding
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding
Fei Chen
Gene Cheung
Xue Zhang
47
3
0
15 Dec 2021
Fast Graph Sampling for Short Video Summarization using Gershgorin Disc
  Alignment
Fast Graph Sampling for Short Video Summarization using Gershgorin Disc Alignment
S. Sahami
Gene Cheung
Chia-Wen Lin
65
3
0
21 Oct 2021
NTIRE 2021 Challenge on Image Deblurring
NTIRE 2021 Challenge on Image Deblurring
Seungjun Nah
Sanghyun Son
Suyoung Lee
Radu Timofte
Kyoung Mu Lee
SupR
106
83
0
30 Apr 2021
Unrolling of Deep Graph Total Variation for Image Denoising
Unrolling of Deep Graph Total Variation for Image Denoising
Huy Vu
Gene Cheung
Yonina C. Eldar
140
23
0
21 Oct 2020
Depth image denoising using nuclear norm and learning graph model
Depth image denoising using nuclear norm and learning graph model
C. Yan
Zhisheng Li
Yongbing Zhang
Yutao Liu
Xiangyang Ji
Yongdong Zhang
81
233
0
09 Aug 2020
Deep Attentive Generative Adversarial Network for Photo-Realistic Image
  De-Quantization
Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization
Yang Zhang
Changhui Hu
Xiaobo Lu
GAN
49
1
0
07 Apr 2020
Graph Metric Learning via Gershgorin Disc Alignment
Graph Metric Learning via Gershgorin Disc Alignment
Cheng Yang
Gene Cheung
Wei Hu
28
4
0
28 Jan 2020
Feature Graph Learning for 3D Point Cloud Denoising
Feature Graph Learning for 3D Point Cloud Denoising
Wei Hu
Xiang Gao
Gene Cheung
Zongming Guo
74
90
0
22 Jul 2019
Ensemble Super-Resolution with A Reference Dataset
Ensemble Super-Resolution with A Reference Dataset
Junjun Jiang
Yi Yu
Zechuan Wang
Suhua Tang
R. Hu
Jiayi Ma
SupR
38
22
0
12 May 2019
3D Dynamic Point Cloud Inpainting via Temporal Consistency on Graphs
3D Dynamic Point Cloud Inpainting via Temporal Consistency on Graphs
Zeqing Fu
Wei Hu
Zongming Guo
3DPC
42
10
0
23 Apr 2019
Local Frequency Interpretation and Non-Local Self-Similarity on Graph
  for Point Cloud Inpainting
Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting
Zeqing Fu
Wei Hu
Zongming Guo
3DPC
57
63
0
28 Sep 2018
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing
  Perspective
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective
Stanley H. Chan
81
58
0
31 Aug 2018
Learning a Single Tucker Decomposition Network for Lossy Image
  Compression with Multiple Bits-Per-Pixel Rates
Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates
Jianrui Cai
Zisheng Cao
Lei Zhang
52
37
0
10 Jul 2018
From Rank Estimation to Rank Approximation: Rank Residual Constraint for
  Image Restoration
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration
Zhiyuan Zha
Xin Yuan
Bihan Wen
Jiantao Zhou
Jiachao Zhang
Ce Zhu
185
86
0
06 Jul 2018
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of
  JPEG-Compressed Images
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images
Honggang Chen
Xiaohai He
L. Qing
Shuhua Xiong
Truong Thao Nguyen
70
48
0
27 May 2018
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low
  Dimensional Manifold Model
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model
Jin Zeng
Gene Cheung
Michael Kwok-Po Ng
Jiahao Pang
Cheng Yang
3DV
88
155
0
20 Mar 2018
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
Jiahao Pang
Wenxiu Sun
Chengxi Yang
Jimmy S. J. Ren
Ruichao Xiao
Jin Zeng
Liang Lin
129
56
0
18 Mar 2018
Graph-Based Blind Image Deblurring From a Single Photograph
Graph-Based Blind Image Deblurring From a Single Photograph
Yuanchao Bai
Gene Cheung
Xianming Liu
Wen Gao
67
154
0
22 Feb 2018
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank
  Minimization
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization
Zhiyuan Zha
Xin Yuan
Bihan Wen
Jiantao Zhou
Jiachao Zhang
Ce Zhu
97
90
0
12 Sep 2017
Bias-Variance Tradeoff of Graph Laplacian Regularizer
Bias-Variance Tradeoff of Graph Laplacian Regularizer
Pin-Yu Chen
Sijia Liu
53
19
0
02 Jun 2017
Graph Laplacian Regularization for Image Denoising: Analysis in the
  Continuous Domain
Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain
Jiahao Pang
Gene Cheung
47
45
0
27 Apr 2016
1