On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning J Bai, Z Liu, H Wang, J Hao, Y Feng, H Chu, H Hu ICLR'23, Code: https://github.com/JianhongBai/COLT, 2023 | 9 | 2023 |
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing J Bai, T He, Y Wang, J Guo, H Hu, Z Liu, J Bian Project page: https://jianhongbai.github.io/UniEdit/, 2024 | 5 | 2024 |
Fast Model Debias with Machine Unlearning R Chen, J Yang, H Xiong, J Bai, T Hu, J Hao, Y Feng, JT Zhou, J Wu, Z Liu NeurIPS'23, 2023 | 3 | 2023 |
Class semantic enhancement network for semantic segmentation S Fu, H Wang, H Hu, X He, Y Long, J Bai, Y Ou, Y Huang, M Zhou Journal of Visual Communication and Image Representation 96, 103924, 2023 | 1 | 2023 |
Class Semantic Enhancement Network for Semantic Segmentation H Wang, X He, Y Long, J Bai, T Ouyang, Y Huang, M Zhou, H Hu Available at SSRN 4040033, 0 | 1 | |
TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing L Mu, J Bai, X He, J Ye, X Liang, Y Yang, J Zhuang, H Hu arXiv preprint arXiv:2311.18420, 2023 | | 2023 |
Robustness-Guided Image Synthesis for Data-Free Quantization J Bai, Y Yang, H Chu, H Wang, Z Liu, R Chen, X He, L Mu, C Cai, H Hu AAAI'24, 2023 | | 2023 |
Towards Distribution-Agnostic Generalized Category Discovery J Bai, Z Liu, H Wang, R Chen, L Mu, X Li, JT Zhou, Y Feng, J Wu, H Hu NeurIPS'24, Code: https://github.com/JianhongBai/BaCon, 2023 | | 2023 |
Unlocking the Power of Diffusion Models to Rescue Data Insufficiency for Long-Tailed Recognition S Fu, X He, J Bai, W Huang, S Zhu, H Hu | | |