| Expanding performance boundaries of open-source multimodal models with model, data, and test-time scaling Z Chen, W Wang, Y Cao, Y Liu, Z Gao, E Cui, J Zhu, S Ye, H Tian, Z Liu, ... arXiv preprint arXiv:2412.05271, 2024 | 1009 | 2024 |
| How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Z Chen, W Wang, H Tian, S Ye, Z Gao, E Cui, W Tong, K Hu, J Luo, Z Ma, ... arXiv preprint arXiv:2404.16821, 2024 | 995 | 2024 |
| Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models J Zhu, W Wang, Z Chen, Z Liu, S Ye, L Gu, H Tian, Y Duan, W Su, J Shao, ... arXiv preprint arXiv:2504.10479, 2025 | 670 | 2025 |
| Univl: A unified video and language pre-training model for multimodal understanding and generation H Luo, L Ji, B Shi, H Huang, N Duan, T Li, J Li, T Bharti, M Zhou arXiv preprint arXiv:2002.06353, 2020 | 586 | 2020 |
| Drive like a human: Rethinking autonomous driving with large language models D Fu, X Li, L Wen, M Dou, P Cai, B Shi, Y Qiao 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops …, 2024 | 300 | 2024 |
| DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models L Wen, D Fu, X Li, X Cai, T Ma, P Cai, M Dou, B Shi, L He, Y Qiao The Twelfth International Conference on Learning Representations (ICLR), 2024 | 295 | 2024 |
| Multi-modal sensor fusion for auto driving perception: A survey K Huang, B Shi, X Li, X Li, S Huang, Y Li arXiv preprint arXiv:2202.02703, 2022 | 261 | 2022 |
| Internvl3. 5: Advancing open-source multimodal models in versatility, reasoning, and efficiency W Wang, Z Gao, L Gu, H Pu, L Cui, X Wei, Z Liu, L Jing, S Ye, J Shao, ... arXiv preprint arXiv:2508.18265, 2025 | 232 | 2025 |
| Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion X Li, T Ma, Y Hou, B Shi, Y Yang, Y Liu, X Wu, Q Chen, Y Li, Y Qiao, L He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 216 | 2023 |
| Multi-sensor fusion and cooperative perception for autonomous driving: A review C Xiang, C Feng, X Xie, B Shi, H Lu, Y Lv, M Yang, Z Niu IEEE Intelligent Transportation Systems Magazine 15 (5), 36-58, 2023 | 175 | 2023 |
| Mineru: An open-source solution for precise document content extraction B Wang, C Xu, X Zhao, L Ouyang, F Wu, Z Zhao, R Xu, K Liu, Y Qu, ... arXiv preprint arXiv:2409.18839, 2024 | 126 | 2024 |
| Streetsurf: Extending multi-view implicit surface reconstruction to street views J Guo, N Deng, X Li, Y Bai, B Shi, C Wang, C Ding, D Wang, Y Li arXiv preprint arXiv:2306.04988, 2023 | 121 | 2023 |
| Chartx & chartvlm: A versatile benchmark and foundation model for complicated chart reasoning R Xia, H Ye, X Yan, Q Liu, H Zhou, Z Chen, B Shi, J Yan, B Zhang IEEE Transactions on Image Processing, 2025 | 116 | 2025 |
| On the road with gpt-4v (ision): Early explorations of visual-language model on autonomous driving L Wen, X Yang, D Fu, X Wang, P Cai, X Li, T Ma, Y Li, L Xu, D Shang, ... arXiv preprint arXiv:2311.05332, 2023 | 107 | 2023 |
| Is sora a world simulator? a comprehensive survey on general world models and beyond Z Zhu, X Wang, W Zhao, C Min, B Li, N Deng, M Dou, Y Wang, B Shi, ... arXiv preprint arXiv:2405.03520, 2024 | 99 | 2024 |
| Knowledge Aware Semantic Concept Expansion for Image-Text Matching. B Shi, L Ji, P Lu, Z Niu, N Duan Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 95 | 2019 |
| Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection X Li, B Shi, Y Hou, X Wu, T Ma, Y Li, L He Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 91 | 2022 |
| Dense procedure captioning in narrated instructional videos B Shi, L Ji, Y Liang, N Duan, P Chen, Z Niu, M Zhou Proceedings of the 57th annual meeting of the association for computational …, 2019 | 90 | 2019 |
| Uni3d: A unified baseline for multi-dataset 3d object detection B Zhang, J Yuan, B Shi, T Chen, Y Li, Y Qiao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 75 | 2023 |
| Microsoft concept graph: Mining semantic concepts for short text understanding L Ji, Y Wang, B Shi, D Zhang, Z Wang, J Yan Data Intelligence 1 (3), 238-270, 2019 | 73 | 2019 |
Pinlong CaiShanghai Artificial Intelligence LaboratoryVerified email at pjlab.org.cn
