Publications

2024

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

Zihui Wu, Yu Sun, Yifan Chen, Yisong Yue, Katie L. Bouman

2023

Provable Probabilistic Imaging using Score-Based Generative Priors

Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katie L. Bouman

Learning Task-Specific Strategies for Accelerated MRI

Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, Andre van der Kouwe, Adrian V. Dalca, Katie L. Bouman

Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach

Paul Goyes-Peñafiel, Edwin Vargas, Claudia V. Correa, Yu Sun, U. S. Kamilov Brendt Wohlberg, Henry Arguello,

2022

Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields

Renhao Liu*, Yu Sun*, Jiabei Zhu, Lei Tian, U. S. Kamilov

CURE: Learning Cross-Video Neural Representations for High-Quality Frame Interpolation

Wentao Shangguan*, Yu Sun*, Weijie Gan, U. S. Kamilov

Acceptance rate: 1492/5803 = 26%

2021

Deformation-Compensated Learning for Image Reconstruction without Ground Truth

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

CoIL: Coordinate-based Internal Learning for Imaging Inverse Problems

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

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

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

Joint Reconstruction and Calibration using Regularization by Denoising

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

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

Yu Sun, Jiaming Liu, Brendt Wohlberg, U. S. Kamilov

Spotlight: 114/2997 = 4%

2020

Scalable Plug-and-Play ADMM with Convergence Guarantees

Yu Sun*, Zihui Wu*, Xiaojian Xu*, Brendt Wohlberg, U. S. Kamilov

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

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

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

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

SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors

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

RARE: Image reconstruction using deep priors learned without groundtruth

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

2019

Online Regularization by Denoising with Applications to Phase Retrieval

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

Image Restoration Using Total Variation Regularized Deep Image Prior

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

Regularized Fourier ptychography using an online plug-and-play algorithm

Yu Sun, Brendt Wohlberg, U. S. Kamilov

Oral Presentation

An online Plug-and-play algorithm for regularized image reconstruction

Yu Sun, Brendt Wohlberg, U. S. Kamilov

Block Coordinate Regularization by Denoising

Yu Sun, Jiaming Liu, U. S. Kamilov

Acceptance rate: 1428/6743 = 21%

2018

Efficient and accurate inversion of multiple scattering with deep learning

Yu Sun, Zhihao Xia, U. S. Kamilov