no code implementations • 24 May 2024 • Jia He, Bonan Li, Ge Yang, Ziwen Liu
Solving 3D medical inverse problems such as image restoration and reconstruction is crucial in modern medical field.
no code implementations • 10 Mar 2024 • Xinmin Qiu, Congying Han, ZiCheng Zhang, Bonan Li, Tiande Guo, Pingyu Wang, Xuecheng Nie
Developing blind video deflickering (BVD) algorithms to enhance video temporal consistency, is gaining importance amid the flourish of image processing and video generation.
1 code implementation • 27 Feb 2024 • ZiCheng Zhang, Ruobing Zheng, Ziwen Liu, Congying Han, Tianqi Li, Meng Wang, Tiande Guo, Jingdong Chen, Bonan Li, Ming Yang
Recent works in implicit representations, such as Neural Radiance Fields (NeRF), have advanced the generation of realistic and animatable head avatars from video sequences.
no code implementations • 27 Dec 2023 • Anqi Li, Congying Han, Tiande Guo, Haoran Li, Bonan Li
We experimentally verify that this paradigm can prune the unnecessary search space to find the optimal Boolean assignments for the problem.
no code implementations • 8 May 2023 • Xinmin Qiu, Congying Han, ZiCheng Zhang, Bonan Li, Tiande Guo, Xuecheng Nie
This design is implemented with two key components: 1) Identity Restoration Module (IRM) for preserving the face details in results.
no code implementations • 6 Mar 2023 • Bonan Li, ZiCheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Tiande Guo
And it introduces a novel triple reconstruction loss to fine-tune the pre-trained LDM for encoding style and content into corresponding identifiers; 2) Fine-grained Content Controller (FCC) for the recombination phase.
no code implementations • CVPR 2023 • Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han, Xiangjian Jiang, Tiande Guo, Luoqi Liu
Given exploration on the above three questions, we present the novel DropKey method that regards Key as the drop unit and exploits decreasing schedule for drop ratio, improving ViTs in a general way.
no code implementations • 15 Nov 2022 • Ziwen Liu, Bonan Li, Congying Han, Tiande Guo, Xuecheng Nie
In order to alleviate the discriminative information overfitting problem effectively, we employ the reconstruction task to regularize the discriminative task.
Ranked #23 on Self-Supervised Image Classification on ImageNet
Contrastive Learning Self-Supervised Image Classification +2
no code implementations • 4 Aug 2022 • Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han, Xiangjian Jiang, Tiande Guo, Luoqi Liu
Given exploration on the above three questions, we present the novel DropKey method that regards Key as the drop unit and exploits decreasing schedule for drop ratio, improving ViTs in a general way.
no code implementations • 19 Mar 2021 • Bonan Li, Xuecheng Nie, Congying Han
In this paper, we propose to enhance the generalizability of GZSL models via improving feature diversity of unseen classes.