Self2self with dropout: Learning self-supervised denoising from single image Y Quan, M Chen, T Pang, H Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 413 | 2020 |
Nonblind image deconvolution via leveraging model uncertainty in an untrained deep neural network M Chen, Y Quan, T Pang, H Ji International Journal of Computer Vision 130 (7), 1770-1789, 2022 | 18 | 2022 |
Self-supervised blind image deconvolution via deep generative ensemble learning M Chen, Y Quan, Y Xu, H Ji IEEE Transactions on circuits and systems for video technology 33 (2), 634-647, 2022 | 16 | 2022 |
Unsupervised Phase Retrieval Using Deep Approximate MMSE Estimation M Chen, L Peikang, Y Quan, T Pang, H Ji IEEE Transactions on Signal Processing 70, 2239-2252, 2022 | 15 | 2022 |
High-quality self-supervised snapshot hyperspectral imaging Y Quan, X Qin, M Chen, Y Huang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 10 | 2022 |
A data-driven compression method for transient rendering Y Liang, M Chen, Z Huang, D Gutierrez, A Munoz, J Marco ACM SIGGRAPH 2019 Posters, 1-2, 2019 | 3 | 2019 |
Compression and denoising of time-resolved light transport Y Liang, M Chen, Z Huang, D Gutierrez, A Muñoz, J Marco Optics Letters 45 (7), 1986-1989, 2020 | 2 | 2020 |
Generic interactive pixel‐level image editing Y Liang, Y Gan, M Chen, D Gutierrez, A Muñoz Computer Graphics Forum 38 (7), 23-34, 2019 | 1 | 2019 |