| Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... Tech Report, 2023 | 2780 | 2023 |
| Qwen-vl: A frontier large vision-language model with versatile abilities J Bai*, S Bai*, S Yang*, S Wang, S Tan, P Wang, J Lin, C Zhou, J Zhou Tech Report, 2023 | 1207 | 2023 |
| Instances as queries Y Fang*, S Yang*, X Wang, Y Li, C Fang, Y Shan, B Feng, W Liu ICCV 2021, 2021 | 370 | 2021 |
| Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs S Tong, E Brown, P Wu, S Woo, M Middepogu, SC Akula, J Yang, S Yang, ... NeurIPS 2024 Oral, 2024 | 249 | 2024 |
| Crossover learning for fast online video instance segmentation S Yang*, Y Fang*, X Wang, Y Li, C Fang, Y Shan, B Feng, W Liu ICCV 2021, 2021 | 133 | 2021 |
| Temporally Efficient Vision Transformer for Video Instance Segmentation S Yang, X Wang, Y Li, Y Fang, J Fang, W Liu, X Zhao, Y Shan CVPR 2022 Oral, 2022 | 84 | 2022 |
| Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection Y Fang*, S Yang*, S Wang*, Y Ge, Y Shan, X Wang ICCV 2023, 2022 | 68 | 2022 |
| ViTMatte: Boosting image matting with pre-trained plain vision transformers J Yao, X Wang, S Yang, B Wang Information Fusion 2024, 2024 | 67 | 2024 |
| Masked Image Modeling with Denoising Contrast K Yi, Y Ge, X Li, S Yang, D Li, J Wu, Y Shan, X Qie ICLR 2023, 2022 | 53 | 2022 |
| Touchstone: Evaluating vision-language models by language models S Bai, S Yang, J Bai, P Wang, X Zhang, J Lin, X Wang, C Zhou, J Zhou ArXiv 2023, 2023 | 46 | 2023 |
| Tracking Instances as Queries S Yang*, Y Fang*, X Wang, Y Li, Y Shan, B Feng, W Liu CVPRW 2021, 2021 | 14 | 2021 |
| Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces J yang*, S Yang*, A Gupta*, R Han*, L Fei-Fei, S Xie CVPR 2025, 2024 | 12 | 2024 |
| Masked Visual Reconstruction in Language Semantic Space S Yang, Y Ge, K Yi, D Li, Y Shan, X Qie, X Wang CVPR 2023, 2023 | 10* | 2023 |
| MobileInst: Video Instance Segmentation on the Mobile R Zhang*, T Cheng*, S Yang, H Jiang, S Zhang, J Lyu, X Li, X Ying, ... AAAI 2024, 2024 | 8 | 2024 |
| Relational Surrogate Loss Learning T Huang, Z Li, H Lu, Y Shan, S Yang, Y Feng, F Wang, S You, C Xu ICLR 2022, 2022 | 8 | 2022 |
Xinggang WangProfessor, Huazhong University of Science and TechnologyVerified email at hust.edu.cn
