∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization
ACM Transactions on Graphics (SIGGRAPH 2023), Los Angeles, USA
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
Journal of Machine Learning Research (JMLR), 2022
Crafting Object Detection in Very Low Light
The 32nd British Machine Vision Conference (BMVC 2021), Virtual, Online
Physics-based Noise Modeling for Extreme Low-light Photography
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
The 37th International Conference on Machine Learning (ICML 2020), Vienna, Austria, Outstanding Paper Award, Acceptance Rate: 0.04%
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising
The 36th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, USA, Oral Presentation, Acceptance Rate: 5%
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
IEEE Transactions on Neural Networks and Learning System, 2020
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
The 35th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, USA
Low-rank Bayesian Tensor Factorization for Hyperspectral Image Denoising
Elsevier Neurocomputing, 2019
