| Exploring sparse visual prompt for domain adaptive dense prediction S Yang, J Wu, J Liu, X Li, Q Zhang, M Pan, Y Gan, Z Chen, S Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16334 …, 2024 | 22* | 2024 |
| Lidar-llm: Exploring the potential of large language models for 3d lidar understanding S Yang, J Liu, R Zhang, M Pan, Z Guo, X Li, Z Chen, P Gao, Y Guo, ... arXiv preprint arXiv:2312.14074, 2023 | 18 | 2023 |
| ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation J Liu*, S Yang*, P Jia, M Lu, Y Guo, W Xue, S Zhang ICLR 2024, 2023 | 17 | 2023 |
| An improved baseline for reasoning segmentation with large language model S Yang, T Qu, X Lai, Z Tian, B Peng, S Liu, J Jia arXiv preprint arXiv:2312.17240, 2023 | 10 | 2023 |
| Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier Z Zang*, L Shang*, S Yang*, F Wang, B Sun, X Xie, SZ Li ICCV 2023 oral, 11858-11867, 2023 | 7 | 2023 |
| Distribution-aware continual test time adaptation for semantic segmentation J Ni*, S Yang*, J Liu, X Li, W Jiao, R Xu, Z Chen, Y Liu, S Zhang ICRA 2024, 2023 | 6 | 2023 |
| Udrn: unified dimensional reduction neural network for feature selection and feature projection Z Zang, Y Xu, L Lu, Y Geng, S Yang, SZ Li Neural Networks 161, 626-637, 2023 | 6 | 2023 |
| Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation J Liu, R Xu*, S Yang*, R Zhang, Q Zhang, Z Chen, Y Guo, S Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3* | 2024 |
| PM-DETR: Domain adaptive prompt memory for object detection with transformers P Jia*, J Liu*, S Yang, J Wu, X Xie, S Zhang arXiv preprint arXiv:2307.00313, 2023 | 2 | 2023 |
| Unified Language-driven Zero-shot Domain Adaptation S Yang, Z Tian, L Jiang, J Jia CVPR 2024, 2024 | 1 | 2024 |
