Publications

(* denotes equal contribution)

2023

FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration

Zihao Zou*, Jiaming Liu*, Shirin Shoushtari, Yubo Wang, Weijie Gan, Ulugbek S. Kamilov,

Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis

Shirin Shoushtari*, Jiaming Liu*, Edward P. Chandler, M. Salman Asif, Ulugbek S. Kamilov,

Block Coordinate Plug-and-Play Methods for Blind Inverse Problems

Weijie Gan, Shirin Shoushtari, Yuyang Hu, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov,

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction

Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim,

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

Marien Renaud, Jiaming Liu, Valentin de Bortoli, Andrés Almansa, Ulugbek S. Kamilov,

Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems

Zihao Zou*, Jiaming Liu*, Brendt Wohlberg, Ulugbek S. Kamilov,

2022

Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN

Tomas Kerepecky, Jiaming Liu, Xue Wen Ng, David W. Piston, Ulugbek S. Kamilov

Online Deep Equilibrium Learning for Regularization by Denoising

Jiaming Liu*, Xiaojian Xu*, Weijie Gan, Shirin Shoushtari, Ulugbek S. Kamilov

Deep Model-Based Architectures for Inverse Problems Under Mismatched Priors

Zhehao Zhang, Jiaming Liu, Deshan Yang, Ulugbek S. Kamilov Geoffrey D. Hugo

Deep Learning-Based Motion Compensation Forfour-Dimensional Cone-Beam Computed Tomography(4D-CBCT) Reconstruction

Shirin Shoushtari, Jiaming Liu, Yuyang Hu, Ulugbek S. Kamilov

Optimization Algorithms for MR Reconstruction

Jiaming Liu, Rakib Hyder, M. Salman Asif, Ulugbek S. Kamilov

2021

Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition

Jiaming Liu, M. Salman Asif, Brendt Wohlberg, Ulugbek S. Kamilov

Deformation-Compensated Learning for Image Reconstruction without Ground Truth

Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov

CoIL: Coordinate-based Internal Learning for Imaging Inverse Problems

Yu Sun, Jiaming Liu, Mingyang Xie, Brendt Wohlberg, Ulugbek S. Kamilov

SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees

Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov

Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography

Mingyang Xie*, Jiaming Liu*, Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov

Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors

Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek S. Kamilov

Spotlight: 114/2997 = 4%

2020

A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network

Guangxiao Song, Yu Sun, Jiaming Liu, Zhijie Wang, Ulugbek S. Kamilov

Provable Convergence of Plug-and-Play Priors With MMSE Denoisers

Xiaojian Xu, Yu Sun, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov

SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors

Zihui Wu, Yu Sun, Alex Matlock, Jiaming Liu, Lei Tian, Ulugbek S. Kamilov

RARE: Image reconstruction using deep priors learned without groundtruth

Jiaming Liu, Yu Sun, Cihat Eldeniz, Weijie Gan, Hongyu An, Ulugbek S. Kamilov

Deep Learning using a Biophysical Model for Robust and Accelerated Reconstruction (RoAR) of Quantitative and Artifact-Free R2* Images

Max Torop, Satya Kothapalli, Yu Sun, Jiaming Liu, Sayan Kahali, Dmitriy A Yablonskiy, Ulugbek S. Kamilov

2019

Online Regularization by Denoising with Applications to Phase Retrieval

Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek S. Kamilov

Image Restoration Using Total Variation Regularized Deep Image Prior

Jiaming Liu, Yu Sun, Xiaojian Xu, Ulugbek S. Kamilov

Block Coordinate Regularization by Denoising

Yu Sun, Jiaming Liu, Ulugbek S. Kamilov

Jiaming Liu 刘家明