| Uncertainty-aware score distribution learning for action quality assessment Y Tang, Z Ni, J Zhou, D Zhang, J Lu, Y Wu, J Zhou IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 …, 2020 | 118 | 2020 |
| Revisiting locally supervised learning: an alternative to end-to-end training Y Wang, Z Ni, S Song, L Yang, G Huang International Conference on Learning Representations (ICLR) 2021, 2021 | 83 | 2021 |
| Cross-modal adapter for text-video retrieval H Jiang, J Zhang, R Huang, C Ge, Z Ni, J Lu, J Zhou, S Song, G Huang arXiv preprint arXiv:2211.09623, 2022 | 31 | 2022 |
| Llava-uhd: an lmm perceiving any aspect ratio and high-resolution images R Xu, Y Yao, Z Guo, J Cui, Z Ni, C Ge, TS Chua, Z Liu, M Sun, G Huang arXiv preprint arXiv:2403.11703, 2024 | 28 | 2024 |
| Deep Incubation: Training Large Models by Divide-and-Conquering Z Ni, Y Wang, J Yu, H Jiang, Y Cao, G Huang IEEE/CVF International Conference on Computer Vision (ICCV) 2023, 2022 | 10* | 2022 |
| Smooth diffusion: Crafting smooth latent spaces in diffusion models J Guo, X Xu, Y Pu, Z Ni, C Wang, M Vasu, S Song, G Huang, H Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Revisiting non-autoregressive transformers for efficient image synthesis Z Ni, Y Wang, R Zhou, J Guo, J Hu, Z Liu, S Song, Y Yao, G Huang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 3 | 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 | 1 | 2024 |
