Physics-Informed Computer Vision: A Review and Perspectives

29 May 2023

Papers citing "Physics-Informed Computer Vision: A Review and Perspectives"

29 / 29 papers shown

Title
Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Miriam Cobo David Corral Fontecha Wilson Silva Lara Lloret Iglesias OOD MedIm AI4CE 24 0 0 28 Apr 2025
A Multi-Modal Interaction Framework for Efficient Human-Robot Collaborative Shelf Picking Abhinav Pathak Kalaichelvi Venkatesan Tarek Taha Rajkumar Muthusamy 28 0 0 09 Apr 2025
Collapse and Collision Aware Grasping for Cluttered Shelf Picking Abhinav Pathak Rajkumar Muthusamy 37 1 0 28 Mar 2025
Exploration of Hepatitis B Virus Infection Dynamics through Virology-Informed Neural Network: A Novel Artificial Intelligence Approach Bikram Das Rupchand Sutradhar D C Dalal 34 0 0 12 Mar 2025
Training-free Quantum-Inspired Image Edge Extraction Method Arti Jain Pradeep Singh 102 0 0 31 Jan 2025
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration D. Wolf Alexander Braun Markus Ulrich 89 0 0 18 Dec 2024
Physics-informed Partitioned Coupled Neural Operator for Complex Networks Weidong Wu Yong Zhang Lili Hao Y. Chen Xiaoyan Sun Dunwei Gong AI4CE 13 0 0 28 Oct 2024
Physics and Deep Learning in Computational Wave Imaging Youzuo Lin Shihang Feng J. Theiler Yinpeng Chen Umberto Villa Jing Rao John Greenhall Cristian Pantea M. Anastasio B. Wohlberg 14 0 0 10 Oct 2024
PINNs for Medical Image Analysis: A Survey C. Banerjee Kien Nguyen Olivier Salvado Truyen Tran Clinton Fookes AI4CE 19 1 0 02 Aug 2024
Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics D. V. Cuong Branislava Lalić Mina Petrić Binh Nguyen M. Roantree PINN AI4CE 26 2 0 07 Jun 2024
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization Takuhiro Kaneko 22 2 0 06 Jun 2024
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems C. Banerjee Kien Nguyen Clinton Fookes M. Raissi PINN AI4CE 8 5 0 05 Sep 2023
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics Pingchuan Ma Peter Yichen Chen B. Deng J. Tenenbaum Tao Du Chuang Gan Wojciech Matusik PINN AI4CE 82 31 0 27 Apr 2023
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification Xuan Li Yi-Ling Qiao Peter Yichen Chen Krishna Murthy Jatavallabhula Ming Lin Chenfanfu Jiang Chuang Gan 69 71 0 09 Mar 2023
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning Ruiqi Ni A. H. Qureshi AI4CE 21 17 0 30 Sep 2022
MRI-MECH: Mechanics-informed MRI to estimate esophageal health Sourav Halder Ethan M. I. Johnson Jun Yamasaki P. Kahrilas M. Markl J. Pandolfino N. Patankar 8 6 0 15 Sep 2022
$Physics-informed neural networks for diffraction tomography$ Physics-informed neural networks for diffraction tomography Amirhossein Saba Carlo Gigli Ahmed B. Ayoub D. Psaltis MedIm AI4CE 11 23 0 28 Jul 2022
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics Rajat Arora AI4CE 9 10 0 30 Jun 2022
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction Erik Gartner Mykhaylo Andriluka Erwin Coumans C. Sminchisescu 3DH 29 39 0 24 May 2022
Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance Qinqin Yang Zi Wang Kunyuan Guo C. Cai X. Qu PINN OOD MedIm AI4CE 20 56 0 21 Mar 2022
Acquisition-invariant brain MRI segmentation with informative uncertainties Pedro Borges Richard Shaw Thomas Varsavsky Kerstin Kläser David Thomas I. Drobnjak Sebastien Ourselin M. Jorge Cardoso OOD 22 2 0 07 Nov 2021
Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning Fangshu Yang Jianwei Ma 6 8 0 23 Sep 2021
Physics-informed generative neural network: an application to troposphere temperature prediction Zhihao Chen Jie Gao Weikai Wang Zheng Yan AI4CE 19 15 0 08 Jul 2021
Deep Learning-based Face Super-Resolution: A Survey Junjun Jiang Chenyang Wang Xianming Liu Jiayi Ma SupR CVBM 19 102 0 11 Jan 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 197 2,254 0 18 Oct 2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework C. Jiang S. Esmaeilzadeh Kamyar Azizzadenesheli K. Kashinath Mustafa A. Mustafa H. Tchelepi P. Marcus P. Prabhat Anima Anandkumar AI4CE 170 122 0 01 May 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 112 364 0 10 Mar 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 188 7,816 0 13 Jun 2015