Imaging with Equivariant Deep Learning

5 September 2022

Dongdong Chen

Mike Davies

Matthias Joachim Ehrhardt

Carola-Bibiane Schönlieb

Ferdia Sherry

Julián Tachella

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Papers citing "Imaging with Equivariant Deep Learning"

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Title
Bi-directional Self-Registration for Misaligned Infrared-Visible Image Fusion Timing Li Bing Cao Pengfei Zhu Bin Xiao Qinghua Hu 34 0 0 11 May 2025
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 41 1 0 03 Oct 2024
SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging Yuliang Zhu Jing Cheng Zhuo-Xu Cui Jianfeng Ren Chengbo Wang Dong Liang 26 2 0 13 Sep 2024
Efficient One-Step Diffusion Refinement for Snapshot Compressive Imaging Yunzhen Wang Haijin Zeng Shaoguang Huang Hongyu Chen Hongyan Zhang DiffM 19 0 0 11 Sep 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 65 1 0 28 May 2024
Improved Canonicalization for Model Agnostic Equivariance Siba Smarak Panigrahi Arnab Kumar Mondal 45 3 0 23 May 2024
Do Bayesian imaging methods report trustworthy probabilities? David Y. W. Thong Charlesquin Kemajou Mbakam Marcelo Pereyra UQCV 39 2 0 13 May 2024
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting Shuo Li Mike Davies Mehrdad Yaghoobi 15 0 0 19 Apr 2024
WaveMo: Learning Wavefront Modulations to See Through Scattering Mingyang Xie Haiyun Guo Brandon Yushan Feng Lingbo Jin Ashok Veeraraghavan Christopher A. Metzler 23 3 0 11 Apr 2024
Perspective-Equivariant Imaging: an Unsupervised Framework for Multispectral Pansharpening Andrew Wang Mike Davies 38 3 0 14 Mar 2024
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI Sean I. Young Yael Balbastre Bruce Fischl Polina Golland Juan Eugenio Iglesias 46 1 0 05 Dec 2023
Equivariant plug-and-play image reconstruction M. Terris Thomas Moreau Nelly Pustelnik Julian Tachella 33 17 0 04 Dec 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 31 11 0 22 Oct 2023
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems Julian Tachella Marcelo Pereyra UQCV 15 7 0 18 Oct 2023
Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal Siba Smarak Panigrahi Sekouba Kaba Sai Rajeswar Siamak Ravanbakhsh 53 27 0 02 Oct 2023
Self-Supervised Scalable Deep Compressed Sensing Bin Chen Xuanyu Zhang Shuai Liu Yongbing Zhang Jian Zhang 22 5 0 26 Aug 2023
Convergence analysis of equilibrium methods for inverse problems D. Obmann Markus Haltmeier 21 5 0 02 Jun 2023
Equivariant Multi-Modality Image Fusion Zixiang Zhao Hao Bai Jiangshe Zhang Yulun Zhang Peng Sun Shuang Xu Dongdong Chen Radu Timofte Luc Van Gool MedIm 29 42 0 19 May 2023
Generalized Permutants and Graph GENEOs Faraz Ahmad M. Ferri Patrizio Frosini 40 4 0 29 Jun 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021