Probabilistic Contrastive Learning for Long-Tailed Visual Recognition C Du, Y Wang, S Song, G Huang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 20 | 2024 |
Assessing a single image in reference-guided image synthesis J Guo, C Du, J Wang, H Huang, P Wan, G Huang Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 753-761, 2022 | 12 | 2022 |
The high separation probability assumption for semi-supervised learning G Huang, C Du IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (12), 7561-7573, 2022 | 8 | 2022 |
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning C Du, Y Han, G Huang Forty-first International Conference on Machine Learning (ICML) 2024, 2024 | 5 | 2024 |
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment J Guo, J Zhao, C Ge, C Du, Z Ni, S Song, H Shi, G Huang arXiv preprint arXiv:2406.04295, 2024 | 2 | 2024 |
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation C Du, Y Wang, J Guo, Y Han, J Zhou, G Huang arXiv preprint arXiv:2407.20080, 2024 | | 2024 |