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When Image Denoising Meets High-Level Vision Tasks: A Deep Learning
  Approach

When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach

14 June 2017
Ding Liu
Bihan Wen
Xianming Liu
Zhangyang Wang
Thomas S. Huang
    VLM
ArXivPDFHTML

Papers citing "When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach"

36 / 36 papers shown
Title
A super-resolution reconstruction method for lightweight building images based on an expanding feature modulation network
A super-resolution reconstruction method for lightweight building images based on an expanding feature modulation network
Yi Zhang
Wenye Zhou
Ruonan Lin
SupR
65
0
0
17 Mar 2025
Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising
Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising
Nadja Gruber
Johannes Schwab
Noémie Debroux
Nicolas Papadakis
Markus Haltmeier
34
0
0
19 Sep 2023
Machine learning for phase-resolved reconstruction of nonlinear ocean
  wave surface elevations from sparse remote sensing data
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data
Svenja Ehlers
Marco Klein
Alexander Heinlein
Mathies Wedler
Nicolas Desmars
Norbert Hoffmann
M. Stender
AI4Cl
42
2
0
18 May 2023
Learning Semantic-Aware Knowledge Guidance for Low-Light Image
  Enhancement
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
Yuhui Wu
Chen Pan
Guoqing Wang
Yang Yang
Jiwei Wei
Chongyi Li
Hengtao Shen
47
81
0
14 Apr 2023
Dynamic Test-Time Augmentation via Differentiable Functions
Dynamic Test-Time Augmentation via Differentiable Functions
Shohei Enomoto
Monikka Roslianna Busto
Takeharu Eda
OOD
45
5
0
09 Dec 2022
Zero-shot Blind Image Denoising via Implicit Neural Representations
Zero-shot Blind Image Denoising via Implicit Neural Representations
Chaewon Kim
Jaeho Lee
Jinwoo Shin
27
13
0
05 Apr 2022
A Note on Machine Learning Approach for Computational Imaging
A Note on Machine Learning Approach for Computational Imaging
Bin Dong
33
0
0
24 Feb 2022
SAPNet: Segmentation-Aware Progressive Network for Perceptual
  Contrastive Deraining
SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
Shen Zheng
Chan Lu
Yuxiong Wu
Gaurav Gupta
34
30
0
17 Nov 2021
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement
Shen Zheng
Gaurav Gupta
78
104
0
03 Oct 2021
UMFA: A photorealistic style transfer method based on U-Net and
  multi-layer feature aggregation
UMFA: A photorealistic style transfer method based on U-Net and multi-layer feature aggregation
Dongyu Rao
Xiaojun Wu
Hui Li
J. Kittler
T. Y. Xu
16
3
0
13 Aug 2021
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks
  for Image Denoising via Residual Recovery
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery
Rongkai Zhang
Jiang Zhu
Zhiyuan Zha
Justin Dauwels
Bihan Wen
34
6
0
12 Jul 2021
Wavelength-based Attributed Deep Neural Network for Underwater Image
  Restoration
Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration
Prasen Kumar Sharma
Ira Bisht
Arijit Sur
29
103
0
15 Jun 2021
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI
Aniket Pramanik
Xiaodong Wu
M. Jacob
3DV
21
5
0
19 May 2021
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled
  Dual-Attention Fusion
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion
Xiaoqi Ma
Xiaoyu Lin
Majed El Helou
Sabine Süsstrunk
UQCV
37
5
0
12 Jan 2021
Spatially-Variant CNN-based Point Spread Function Estimation for Blind
  Deconvolution and Depth Estimation in Optical Microscopy
Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy
Adrian Shajkofci
M. Liebling
25
43
0
08 Oct 2020
High-throughput molecular imaging via deep learning enabled Raman
  spectroscopy
High-throughput molecular imaging via deep learning enabled Raman spectroscopy
C. Horgan
Magnus Jensen
A. Nagelkerke
J. St-Pierre
Tom Kamiel Magda Vercauteren
Molly M. Stevens
Mads S. Bergholt
29
71
0
28 Sep 2020
URIE: Universal Image Enhancement for Visual Recognition in the Wild
URIE: Universal Image Enhancement for Visual Recognition in the Wild
Taeyoung Son
Juwon Kang
N. Kim
Sunghyun Cho
Suha Kwak
OOD
27
47
0
17 Jul 2020
HiFaceGAN: Face Renovation via Collaborative Suppression and
  Replenishment
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
Lingbo Yang
Chang-rui Liu
Pan Wang
Shanshe Wang
Peiran Ren
Siwei Ma
Wen Gao
CVBM
54
124
0
11 May 2020
EventSR: From Asynchronous Events to Image Reconstruction, Restoration,
  and Super-Resolution via End-to-End Adversarial Learning
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
Lin Wang
Tae-Kyun Kim
Kuk-Jin Yoon
AI4TS
SupR
18
100
0
17 Mar 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction
Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj
Y. Bresler
Bo-wen Li
OOD
AAML
29
50
0
26 Feb 2020
Deep Learning on Image Denoising: An overview
Deep Learning on Image Denoising: An overview
Chunwei Tian
Lunke Fei
Wenxian Zheng
Yong-mei Xu
W. Zuo
Chia-Wen Lin
35
815
0
31 Dec 2019
VisionISP: Repurposing the Image Signal Processor for Computer Vision
  Applications
VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications
Chyuan-Tyng Wu
Leo F. Isikdogan
R. Sushma
Bhavin V. Nayak
Timo Gerasimow
Aleksandar Sutic
Liron Ain-kedem
G. Michael
VLM
19
35
0
14 Nov 2019
Deep Learning Based Detection and Correction of Cardiac MR Motion
  Artefacts During Reconstruction for High-Quality Segmentation
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
I. Oksuz
J. Clough
B. Ruijsink
Esther Puyol-Antón
A. Bustin
G. Cruz
Claudia Prieto
A. King
Julia A. Schnabel
3DV
MedIm
23
60
0
11 Oct 2019
s-LWSR: Super Lightweight Super-Resolution Network
s-LWSR: Super Lightweight Super-Resolution Network
Biao Li
Jiabin Liu
Bo Wang
Zhiquan Qi
Yong Shi
SupR
34
47
0
24 Sep 2019
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn
T. Martyniuk
Junru Wu
Zhangyang Wang
3DV
28
876
0
10 Aug 2019
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an
  End-to-end Deep Learning Solution with Video Enhancement
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
Zitong Yu
Wei Peng
Xiaobai Li
Xiaopeng Hong
Guoying Zhao
32
267
0
27 Jul 2019
Blind Universal Bayesian Image Denoising with Gaussian Noise Level
  Learning
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Majed El Helou
Sabine Süsstrunk
VLM
27
102
0
05 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction
A Review on Deep Learning in Medical Image Reconstruction
Hai-Miao Zhang
Bin Dong
MedIm
35
122
0
23 Jun 2019
Collaborative Global-Local Networks for Memory-Efficient Segmentation of
  Ultra-High Resolution Images
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
Wuyang Chen
Ziyu Jiang
Zhangyang Wang
Kexin Cui
Xiaoning Qian
19
151
0
15 May 2019
UG$^{2+}$ Track 2: A Collective Benchmark Effort for Evaluating and
  Advancing Image Understanding in Poor Visibility Environments
UG2+^{2+}2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan
Wenhan Yang
Wenqi Ren
Xin Liu
Cheng Chi
Haiquan Wang
3DV
43
227
0
09 Apr 2019
Learning of Image Dehazing Models for Segmentation Tasks
Learning of Image Dehazing Models for Segmentation Tasks
Sébastien de Blois
Ihsen Hedhli
Christian Gagné
VLM
6
4
0
04 Mar 2019
Embedded deep learning in ophthalmology: Making ophthalmic imaging
  smarter
Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter
Petteri Teikari
Raymond P. Najjar
L. Schmetterer
D. Milea
MedIm
27
27
0
13 Oct 2018
Improved Techniques for Learning to Dehaze and Beyond: A Collective
  Study
Improved Techniques for Learning to Dehaze and Beyond: A Collective Study
Yu Liu
Guanlong Zhao
Boyuan Gong
Yong Li
Ritu Raj
...
Satya Kesav
Sandeep Gottimukkala
Zhangyang Wang
Wenqi Ren
Dacheng Tao
VLM
48
40
0
30 Jun 2018
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
Zhiwen Fan
Liyan Sun
Xinghao Ding
Yue Huang
C. Cai
John Paisley
MedIm
30
27
0
04 Apr 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse
  Coding
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding
Dong Liu
Ke Sun
Zhangyang Wang
Runsheng Liu
Zhengjun Zha
24
12
0
28 Feb 2018
An All-in-One Network for Dehazing and Beyond
An All-in-One Network for Dehazing and Beyond
Boyi Li
Xiulian Peng
Zhangyang Wang
Jizheng Xu
Dan Feng
27
163
0
20 Jul 2017
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