| Mmbench: Is your multi-modal model an all-around player? Y Liu, H Duan, Y Zhang, B Li, S Zhang, W Zhao, Y Yuan, J Wang, C He, ... European Conference on Computer Vision, 216-233, 2025 | 610 | 2025 |
| Part-aware prototype network for few-shot semantic segmentation Y Liu, X Zhang, S Zhang, X He Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 371 | 2020 |
| Distribution Alignment: A Unified Framework for Long-tail Visual Recognition S Zhang, Z Li, S Yan, X He, J Sun Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 325 | 2021 |
| Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation R Li, S Zhang, B Wan, X He Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 239 | 2021 |
| Internlm: A multilingual language model with progressively enhanced capabilities ILM Team 2023-01-06)[2023-09-27]. https://github. com/InternLM/InternLM, 2023 | 178 | 2023 |
| Internlm-xcomposer2: Mastering free-form text-image composition and comprehension in vision-language large model X Dong, P Zhang, Y Zang, Y Cao, B Wang, L Ouyang, X Wei, S Zhang, ... arXiv preprint arXiv:2401.16420, 2024 | 172 | 2024 |
| OpenCompass: A universal evaluation platform for foundation models. OC Contributors https://github.com/open-compass/opencompass, 2023 | 169 | 2023 |
| Internlm-xcomposer: A vision-language large model for advanced text-image comprehension and composition P Zhang, X Dong, B Wang, Y Cao, C Xu, L Ouyang, Z Zhao, H Duan, ... arXiv preprint arXiv:2309.15112, 2023 | 164 | 2023 |
| Internlm2 technical report Z Cai, M Cao, H Chen, K Chen, K Chen, X Chen, X Chen, Z Chen, Z Chen, ... arXiv preprint arXiv:2403.17297, 2024 | 163 | 2024 |
| SGTR: End-to-end Scene Graph Generation with Transformer R Li, S Zhang, X He Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 108 | 2022 |
| Dynamic context correspondence network for semantic alignment S Huang, Q Wang, S Zhang, S Yan, X He Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 99 | 2019 |
| LatentGNN: Learning Efficient Non-local Relations for Visual Recognition S Zhang, S Yan, X He Proceedings of the 36th International Conference on Machine Learning, 2019 | 91 | 2019 |
| Internlm-xcomposer2-4khd: A pioneering large vision-language model handling resolutions from 336 pixels to 4k hd X Dong, P Zhang, Y Zang, Y Cao, B Wang, L Ouyang, S Zhang, H Duan, ... arXiv preprint arXiv:2404.06512, 2024 | 83 | 2024 |
| Openmmlab’s image classification toolbox and benchmark M Contributors URL: https://github. com/open-mmlab/mmclassification 5, 2020 | 72 | 2020 |
| A Dual Attention Network with Semantic Embedding for Few-Shot Learning. S Yan, S Zhang, X He AAAI 33, 9079-9086, 2019 | 72 | 2019 |
| Lawbench: Benchmarking legal knowledge of large language models Z Fei, X Shen, D Zhu, F Zhou, Z Han, S Zhang, K Chen, Z Shen, J Ge arXiv preprint arXiv:2309.16289, 2023 | 58 | 2023 |
| Action Quality Assessment with Temporal Parsing Transformer Y Bai, D Zhou, S Zhang, J Wang, E Ding, Y Guan, Y Long, J Wang European Conference on Computer Vision, 2022 | 49 | 2022 |
| An em framework for online incremental learning of semantic segmentation S Yan, J Zhou, J Xie, S Zhang, X He Proceedings of the 29th ACM international conference on multimedia, 3052-3060, 2021 | 49 | 2021 |
| Learning Implicit Temporal Alignment for Few-shot Video Classification S Zhang, J Zhou, X He International Joint Conferences on Artificial Intelligence, 2021 | 46 | 2021 |
| Predicting Salient Face in Multiple-face Videos Y Liu, S Zhang, M Xu, X He Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 43 | 2017 |
Kai ChenShanghai AI LaboratoryVerified email at pjlab.org.cn
