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Equivariant Imaging: Learning Beyond the Range Space
IEEE International Conference on Computer Vision (ICCV), 2021
26 March 2021
Dongdong Chen
Julián Tachella
Mike E. Davies
SSL
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Papers citing
"Equivariant Imaging: Learning Beyond the Range Space"
50 / 55 papers shown
Equivariant Deep Equilibrium Models for Imaging Inverse Problems
Alexander Mehta
Ruangrawee Kitichotkul
Vivek K Goyal
Julián Tachella
191
1
0
24 Nov 2025
NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems
Roman Jacome
Romario Gualdrón-Hurtado
Leon Suarez
Henry Arguello
293
1
0
02 Oct 2025
Equivariant Splitting: Self-supervised learning from incomplete data
Victor Sechaud
Jérémy Scanvic
Quentin Barthélemy
Patrice Abry
Julián Tachella
SSL
456
2
0
01 Oct 2025
Self-supervised learning for phase retrieval
Victor Sechaud
Patrice Abry
Laurent Jacques
Julián Tachella
SSL
OOD
179
0
0
30 Sep 2025
Direct Dual-Energy CT Material Decomposition using Model-based Denoising Diffusion Model
Hang Xu
A. Bousse
A. Perelli
MedIm
214
1
0
24 Jul 2025
Fast Equivariant Imaging: Acceleration for Unsupervised Learning via Augmented Lagrangian and Auxiliary PnP Denoisers
Guixian Xu
Jinglai Li
Junqi Tang
241
1
0
09 Jul 2025
Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction
International Conference on Information Photonics (ICIP), 2025
Yasar Utku Alçalar
Mehmet Akçakaya
211
4
0
30 May 2025
Hypothesis Testing in Imaging Inverse Problems
Yiming Xi
K. Zygalakis
Marcelo Pereyra
268
0
0
28 May 2025
A Regularization-Guided Equivariant Approach for Image Restoration
Computer Vision and Pattern Recognition (CVPR), 2025
Yulu Bai
J. Fu
Qi Xie
Deyu Meng
219
5
0
26 May 2025
Projection-Based Correction for Enhancing Deep Inverse Networks
Jorge Bacca
169
5
0
21 May 2025
Measurement Score-Based Diffusion Model
Chicago Y. Park
Shirin Shoushtari
Hongyu An
Ulugbek S. Kamilov
DiffM
MedIm
366
3
0
17 May 2025
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for Joint MRI Reconstruction and Denoising in Low-Field MRI
Haoyang Pei
Ding Xia
Xiang Xu
William Moore
Yao Wang
Hersh Chandarana
Li Feng
Hersh Chandarana
Li Feng
369
1
0
09 May 2025
Reconstruct Anything Model: a lightweight general model for computational imaging
Matthieu Terris
Samuel Hurault
Maxime Song
Julian Tachella
MedIm
508
11
0
11 Mar 2025
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction
Scale Space and Variational Methods in Computer Vision (SSVM), 2025
T. Bubba
Matteo Santacesaria
Andrea Sebastiani
OOD
222
3
0
28 Feb 2025
A Self-supervised Diffusion Bridge for MRI Reconstruction
IEEE International Symposium on Biomedical Imaging (ISBI), 2025
Harry Gao
Weijie Gan
Yuyang Hu
Hongyu An
Ulugbek S. Kamilov
DiffM
MedIm
235
2
0
08 Jan 2025
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance
IEEE International Symposium on Biomedical Imaging (ISBI), 2024
Andrew Wang
Mike Davies
MedIm
280
4
0
11 Oct 2024
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images
Longchao Da
Rui Wang
Xiaojian Xu
Parminder Bhatia
Taha A. Kass-Hout
Hua Wei
Cao Xiao
MedIm
VLM
386
2
0
02 Oct 2024
Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
Yunzhen Wang
Haijin Zeng
Haijin Zeng
Hongyu Chen
Hongyan Zhang
DiffM
271
0
0
11 Sep 2024
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Hong Ye Tan
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
378
0
0
13 Aug 2024
From Learning to Optimize to Learning Optimization Algorithms
Camille Castera
Peter Ochs
526
1
0
28 May 2024
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting
Shuo Li
Mike Davies
Mehrdad Yaghoobi
232
2
0
19 Apr 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Hongwei Tan
Ziruo Cai
Marcelo Pereyra
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
SSL
449
3
0
08 Apr 2024
Perspective-Equivariant Imaging: an Unsupervised Framework for Multispectral Pansharpening
Andrew Wang
Mike Davies
241
0
0
14 Mar 2024
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction
Ishak Ayad
Nicolas Larue
Mai K. Nguyen
394
10
0
28 Feb 2024
Glimpse: Generalized Locality for Scalable and Robust CT
IEEE Transactions on Medical Imaging (IEEE TMI), 2024
AmirEhsan Khorashadizadeh
Valentin Debarnot
Tianlin Liu
Ivan Dokmanić
483
1
0
01 Jan 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction
Hang Xu
A. Perelli
194
2
0
19 Dec 2023
Equivariant plug-and-play image reconstruction
Computer Vision and Pattern Recognition (CVPR), 2023
Matthieu Terris
Thomas Moreau
Nelly Pustelnik
Julian Tachella
375
40
0
04 Dec 2023
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging
M. Carioni
Subhadip Mukherjee
Hongwei Tan
Junqi Tang
MedIm
438
5
0
15 Nov 2023
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning
Journal of Mathematical Imaging and Vision (JMIV), 2023
Chicago Y. Park
Weijie Gan
Zihao Zou
Yuyang Hu
Zhixin Sun
Ulugbek S. Kamilov
355
0
0
03 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems
International Conference on Learning Representations (ICLR), 2023
Zhenghan Fang
Sam Buchanan
Jeremias Sulam
481
26
0
22 Oct 2023
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Julian Tachella
Marcelo Pereyra
UQCV
264
15
0
18 Oct 2023
SimPINNs: Simulation-Driven Physics-Informed Neural Networks for Enhanced Performance in Nonlinear Inverse Problems
Workshop on Hyperspectral Image and Signal Processing (WHISPERS), 2023
C. Bolchini
Luca Cassano
M. Fadili
PINN
124
2
0
27 Sep 2023
Self-Supervised Scalable Deep Compressed Sensing
International Journal of Computer Vision (IJCV), 2023
Bin Chen
Xuanyu Zhang
Shuai Liu
Yongbing Zhang
Jian Zhang
286
18
0
26 Aug 2023
Deep Physics-Guided Unrolling Generalization for Compressed Sensing
International Journal of Computer Vision (IJCV), 2023
Bin Chen
Jie Song
Jingfen Xie
Jian Zhang
AI4CE
402
21
0
18 Jul 2023
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks
IEEE Transactions on Image Processing (IEEE TIP), 2023
Kai Feng
Yongqiang Zhao
Seong G. Kong
Haijin Zeng
376
25
0
05 Jul 2023
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Hong Wang
Minghao Zhou
Dong Wei
Yuexiang Li
Yefeng Zheng
213
12
0
25 Jun 2023
Equivariant Multi-Modality Image Fusion
Computer Vision and Pattern Recognition (CVPR), 2023
Zixiang Zhao
Hao Bai
Jiangshe Zhang
Yulun Zhang
Lucas Beerens
Shuang Xu
Dongdong Chen
Radu Timofte
Luc Van Gool
MedIm
330
193
0
19 May 2023
Auto-Linear Phenomenon in Subsurface Imaging
International Conference on Machine Learning (ICML), 2023
Yinan Feng
Yinpeng Chen
Peng Jin
Shihang Feng
Zicheng Liu
Youzuo Lin
229
8
0
27 Apr 2023
Progressive Content-aware Coded Hyperspectral Compressive Imaging
Xuanyu Zhang
Bin Chen
W. Zou
Shuai Liu
Yongbing Zhang
Ruiqin Xiong
Jian Zhang
151
8
0
17 Mar 2023
Learning to Reconstruct Signals From Binary Measurements
Julián Tachella
Laurent Jacques
SSL
250
4
0
15 Mar 2023
Single-photon Image Super-resolution via Self-supervised Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yiwei Chen
Chenbo Jiang
Yu Pan
221
3
0
03 Mar 2023
Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction
Hengrong Lan
Lijie Huang
Zhiqiang Li
Jing Lv
Jianwen Luo
ViT
OOD
242
1
0
17 Jan 2023
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI
IEEE International Symposium on Biomedical Imaging (ISBI), 2022
Ketan Fatania
Kwai-Yin Chau
Carolin M. Pirkl
Marion I. Menzel
Peter Hall
Mohammad Golbabaee
156
4
0
23 Nov 2022
Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees
Weijie Gan
Chunwei Ying
Parna Eshraghi
Tongyao Wang
C. Eldeniz
Yuyang Hu
Jiaming Liu
Yasheng Chen
Hongyu An
Ulugbek S. Kamilov
197
4
0
07 Oct 2022
Transformer Meets Boundary Value Inverse Problems
International Conference on Learning Representations (ICLR), 2022
Ruchi Guo
Shuhao Cao
Long Chen
MedIm
556
32
0
29 Sep 2022
Imaging with Equivariant Deep Learning
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022
Dongdong Chen
Mike Davies
Matthias Joachim Ehrhardt
Carola-Bibiane Schönlieb
Ferdia Sherry
Julián Tachella
229
48
0
05 Sep 2022
Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction
Elena Sizikova
Xu Cao
A. Lewis
K. Moise
Megan Coffee
343
4
0
23 Aug 2022
Online Deep Equilibrium Learning for Regularization by Denoising
Neural Information Processing Systems (NeurIPS), 2022
Jiaming Liu
Xiaojian Xu
Weijie Gan
Shirin Shoushtari
Ulugbek S. Kamilov
324
33
0
25 May 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Beliz Gunel
Arda Sahiner
Arjun D Desai
Akshay S. Chaudhari
S. Vasanawala
Mert Pilanci
John M. Pauly
MedIm
204
8
0
21 Apr 2022
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
Journal of machine learning research (JMLR), 2022
Julián Tachella
Dongdong Chen
Mike Davies
SSL
232
40
0
23 Mar 2022
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