Jiaming Liu 刘家明
PhD Student at Washington University in St. Louis (WUSTL)
- St. Louis, MO
- Github
- Google Scholar
- ORCID
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New Preprint: “DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction”. We present DOLCE, a new deep modelbased framework for LACT that uses a conditional diffusion model as an image prior has been accepted by ICCV 2023!
MERL Research: Extremely happy to share that I will join MERL as a summer intern in 2023!
In Press: Our paper “Online Deep Equilibrium Learning for Regularization by Denoising” has been accepted at NeurIPS 2022! We proposed a new online deep equilibrium learning framework for data-intensive imaging modalities based on implicit neural network.
TCI Accepted: Our paper “CoIL: Coordinate-based Internal Learning for Imaging Inverse Problems” has been on the IEEE Transactions on Computational Imaging (TCI)!! It extends coordinate-based representation to computational imaging. Here is a short video summary.