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Physics-Informed Computer Vision: A Review and Perspectives

Physics-Informed Computer Vision: A Review and Perspectives

29 May 2023
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
    PINN
    AI4CE
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Papers citing "Physics-Informed Computer Vision: A Review and Perspectives"

32 / 82 papers shown
Title
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated
  MRI
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI
Tomer Weiss
Ortal Senouf
S. Vedula
O. Michailovich
M. Zibulevsky
A. Bronstein
MedIm
93
79
0
12 Sep 2019
Learned reconstructions for practical mask-based lensless imaging
Learned reconstructions for practical mask-based lensless imaging
Kristina Monakhova
Joshua Yurtsever
Grace Kuo
N. Antipa
Kyrollos Yanny
Laura Waller
41
110
0
30 Aug 2019
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow
  Estimation
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
Matias Tassano
J. Delon
T. Veit
68
238
0
01 Jul 2019
Encoding Invariances in Deep Generative Models
Encoding Invariances in Deep Generative Models
Viraj Shah
Ameya Joshi
Sambuddha Ghosal
B. Pokuri
Soumik Sarkar
Baskar Ganapathysubramanian
Chinmay Hegde
PINN
GAN
58
30
0
04 Jun 2019
Billion-scale semi-supervised learning for image classification
Billion-scale semi-supervised learning for image classification
I. Z. Yalniz
Hervé Jégou
Kan Chen
Manohar Paluri
D. Mahajan
SSL
90
463
0
02 May 2019
Deep High-Resolution Representation Learning for Human Pose Estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
Ke Sun
Bin Xiao
Dong Liu
Jingdong Wang
3DV
128
4,056
0
25 Feb 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
114
860
0
25 Feb 2019
Deep Learning for Image Super-resolution: A Survey
Deep Learning for Image Super-resolution: A Survey
Zhihao Wang
Jian Chen
Guosheng Lin
SupR
71
1,439
0
16 Feb 2019
Walking on Thin Air: Environment-Free Physics-based Markerless Motion
  Capture
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture
M. Livne
Leonid Sigal
Marcus A. Brubaker
David J. Fleet
DiffM
20
5
0
04 Dec 2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Jure Zbontar
Florian Knoll
Anuroop Sriram
Tullie Murrell
Zhengnan Huang
...
Erich Owens
C. L. Zitnick
M. Recht
D. Sodickson
Yvonne W. Lui
OOD
65
845
0
21 Nov 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang
Ke Yu
Shixiang Wu
Jinjin Gu
Yihao Liu
Chao Dong
Chen Change Loy
Yu Qiao
Xiaoou Tang
157
3,728
0
01 Sep 2018
Kernel Flows: from learning kernels from data into the abyss
Kernel Flows: from learning kernels from data into the abyss
H. Owhadi
G. Yoo
65
90
0
13 Aug 2018
MC-GAN: Multi-conditional Generative Adversarial Network for Image
  Synthesis
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
Hyojin Park
Y. Yoo
Nojun Kwak
GAN
63
59
0
03 May 2018
BAGAN: Data Augmentation with Balancing GAN
BAGAN: Data Augmentation with Balancing GAN
G. Mariani
Florian Scheidegger
R. Istrate
C. Bekas
A. Malossi
50
312
0
26 Mar 2018
Residual Dense Network for Image Super-Resolution
Residual Dense Network for Image Super-Resolution
Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Y. Fu
SupR
138
3,320
0
24 Feb 2018
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
174
3,940
0
30 Nov 2017
Road Extraction by Deep Residual U-Net
Road Extraction by Deep Residual U-Net
Zhengxin Zhang
Qingjie Liu
Yunhong Wang
SSeg
80
2,131
0
29 Nov 2017
Physics Informed Deep Learning (Part I): Data-driven Solutions of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
75
924
0
28 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,883
0
25 Aug 2017
Phase recovery and holographic image reconstruction using deep learning
  in neural networks
Phase recovery and holographic image reconstruction using deep learning in neural networks
Y. Rivenson
Yibo Zhang
H. Gunaydin
Da Teng
Aydogan Ozcan
47
824
0
10 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
207
9,548
0
31 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,195
0
20 Mar 2017
Lensless computational imaging through deep learning
Lensless computational imaging through deep learning
Ayan Sinha
Justin Lee
Shuai Li
George Barbastathis
63
520
0
22 Feb 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
808
3,287
0
24 Nov 2016
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer
  Interfaces
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern
Amelia J. Solon
Nicholas R. Waytowich
Stephen M. Gordon
C. Hung
Brent Lance
OOD
98
2,885
0
23 Nov 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
242
10,693
0
15 Sep 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
741
37,862
0
20 May 2016
Understanding Deep Convolutional Networks
Understanding Deep Convolutional Networks
S. Mallat
FAtt
AI4CE
175
639
0
19 Jan 2016
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
6,188
0
14 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
563
7,992
0
13 Jun 2015
Multigrid with rough coefficients and Multiresolution operator
  decomposition from Hierarchical Information Games
Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games
H. Owhadi
53
169
0
11 Mar 2015
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
465
43,658
0
17 Sep 2014
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