On the convergence of learning-based iterative methods for nonconvex inverse problems R Liu, S Cheng, Y He, X Fan, Z Lin, Z Luo IEEE transactions on pattern analysis and machine intelligence 42 (12), 3027 …, 2019 | 73 | 2019 |
Semi-supervised skin detection by network with mutual guidance Y He, J Shi, C Wang, H Huang, J Liu, G Li, R Liu, J Wang Proceedings of the IEEE/CVF international conference on computer Vision …, 2019 | 30 | 2019 |
Learning collaborative generation correction modules for blind image deblurring and beyond R Liu, Y He, S Cheng, X Fan, Z Luo Proceedings of the 26th ACM international conference on Multimedia, 1921-1929, 2018 | 16 | 2018 |
Blind image deblurring via hybrid deep priors modeling S Cheng, R Liu, Y He, X Fan, Z Luo Neurocomputing 387, 334-345, 2020 | 15 | 2020 |
Toward designing convergent deep operator splitting methods for task-specific nonconvex optimization R Liu, S Cheng, Y He, X Fan, Z Luo arXiv preprint arXiv:1804.10798, 2018 | 6 | 2018 |