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Multi-level Wavelet Convolutional Neural Networks

Multi-level Wavelet Convolutional Neural Networks

6 July 2019
Pengju Liu
Hongzhi Zhang
Wei Lian
W. Zuo
ArXivPDFHTML

Papers citing "Multi-level Wavelet Convolutional Neural Networks"

43 / 43 papers shown
Title
ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping
ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping
Shuai Yuan
Hanlin Qin
Xiang Yan
Shiqi Yang
Shuowen Yang
Naveed Akhtar
Huixin Zhou
101
6
0
28 Jan 2024
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
Hubert Leterme
K. Polisano
V. Perrier
Alahari Karteek
FAtt
93
2
0
19 Sep 2022
Toward Convolutional Blind Denoising of Real Photographs
Toward Convolutional Blind Denoising of Real Photographs
Shi Guo
Zifei Yan
Peng Sun
W. Zuo
Lei Zhang
86
911
0
12 Jul 2018
Image Super-Resolution Using Very Deep Residual Channel Attention
  Networks
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang
Kunpeng Li
Kai Li
Lichen Wang
Bineng Zhong
Y. Fu
SupR
103
4,308
0
08 Jul 2018
Multi-level Wavelet-CNN for Image Restoration
Multi-level Wavelet-CNN for Image Restoration
Pengju Liu
Hongzhi Zhang
Peng Sun
Liang Lin
W. Zuo
SupR
61
646
0
18 May 2018
Parallel Grid Pooling for Data Augmentation
Parallel Grid Pooling for Data Augmentation
Akito Takeki
Daiki Ikami
Go Irie
Kiyoharu Aizawa
28
7
0
30 Mar 2018
Learning a Single Convolutional Super-Resolution Network for Multiple
  Degradations
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Peng Sun
W. Zuo
Lei Zhang
SupR
89
909
0
17 Dec 2017
FFDNet: Toward a Fast and Flexible Solution for CNN based Image
  Denoising
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
Peng Sun
W. Zuo
Lei Zhang
106
2,116
0
11 Oct 2017
Framing U-Net via Deep Convolutional Framelets: Application to
  Sparse-view CT
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
Yoseob Han
J. C. Ye
54
519
0
28 Aug 2017
MemNet: A Persistent Memory Network for Image Restoration
MemNet: A Persistent Memory Network for Image Restoration
Ying Tai
Jian Yang
Xiaoming Liu
Chunyan Xu
SupR
102
1,541
0
07 Aug 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
171
5,891
0
10 Jul 2017
Deep Convolutional Framelets: A General Deep Learning Framework for
  Inverse Problems
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
J. C. Ye
Yoseob Han
Eunju Cha
58
16
0
03 Jul 2017
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Wei-Sheng Lai
Jia-Bin Huang
Narendra Ahuja
Ming-Hsuan Yang
SupR
115
2,441
0
12 Apr 2017
Learning Deep CNN Denoiser Prior for Image Restoration
Learning Deep CNN Denoiser Prior for Image Restoration
Peng Sun
W. Zuo
Shuhang Gu
Lei Zhang
SupR
141
1,845
0
11 Apr 2017
Understanding Convolution for Semantic Segmentation
Understanding Convolution for Semantic Segmentation
Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
G. Cottrell
SSeg
67
1,686
0
27 Feb 2017
Generalized Deep Image to Image Regression
Generalized Deep Image to Image Regression
Venkataraman Santhanam
Vlad I. Morariu
L. Davis
3DV
38
72
0
10 Dec 2016
Beyond Deep Residual Learning for Image Restoration: Persistent
  Homology-Guided Manifold Simplification
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
Woong Bae
J. Yoo
J. C. Ye
SupR
74
179
0
19 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
481
10,305
0
16 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED)
The Little Engine that Could: Regularization by Denoising (RED)
Yaniv Romano
Michael Elad
P. Milanfar
DiffM
71
798
0
09 Nov 2016
Doubly Convolutional Neural Networks
Doubly Convolutional Neural Networks
Shuangfei Zhai
Yu Cheng
Weining Lu
Zhongfei Zhang
OOD
3DV
41
63
0
30 Oct 2016
Deep Pyramidal Residual Networks
Deep Pyramidal Residual Networks
Dongyoon Han
Jiwhan Kim
Junmo Kim
93
692
0
10 Oct 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
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
314
5,218
0
16 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
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
240
10,674
0
15 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
715
36,708
0
25 Aug 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
128
6,980
0
13 Aug 2016
Accelerating the Super-Resolution Convolutional Neural Network
Accelerating the Super-Resolution Convolutional Neural Network
Chao Dong
Chen Change Loy
Xiaoou Tang
SupR
125
2,978
0
01 Aug 2016
A Deep Learning Approach to Block-based Compressed Sensing of Images
A Deep Learning Approach to Block-based Compressed Sensing of Images
A. Adler
D. Boublil
Michael Elad
M. Zibulevsky
30
55
0
05 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
312
7,971
0
23 May 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
212
10,230
0
27 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
330
10,172
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
248
8,434
0
23 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
104
6,179
0
14 Nov 2015
Deeply-Recursive Convolutional Network for Image Super-Resolution
Deeply-Recursive Convolutional Network for Image Super-Resolution
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
133
2,504
0
14 Nov 2015
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast
  and Effective Image Restoration
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
Yunjin Chen
Thomas Pock
DiffM
50
1,189
0
12 Aug 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.6K
76,917
0
18 May 2015
Compression Artifacts Reduction by a Deep Convolutional Network
Compression Artifacts Reduction by a Deep Convolutional Network
Chao Dong
Yubin Deng
Chen Change Loy
Xiaoou Tang
SupR
46
793
0
27 Apr 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
128
8,066
0
31 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
224
4,665
0
21 Dec 2014
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
299
2,946
0
15 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
401
43,589
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.4K
100,213
0
04 Sep 2014
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