| Videochat: Chat-centric video understanding KC Li, Y He, Y Wang, Y Li, W Wang, P Luo, Y Wang, L Wang, Y Qiao arXiv preprint arXiv:2305.06355, 2023 | 590 | 2023 |
| Videomae v2: Scaling video masked autoencoders with dual masking L Wang, B Huang, Z Zhao, Z Tong, Y He, Y Wang, Y Wang, Y Qiao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 386 | 2023 |
| Internvideo: General video foundation models via generative and discriminative learning Y Wang, K Li, Y Li, Y He, B Huang, Z Zhao, H Zhang, J Xu, Y Liu, Z Wang, ... arXiv preprint arXiv:2212.03191, 2022 | 331 | 2022 |
| Mvbench: A comprehensive multi-modal video understanding benchmark K Li, Y Wang, Y He, Y Li, Y Wang, Y Liu, Z Wang, J Xu, G Chen, P Luo, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 259 | 2024 |
| Lavie: High-quality video generation with cascaded latent diffusion models Y Wang, X Chen, X Ma, S Zhou, Z Huang, Y Wang, C Yang, Y He, J Yu, ... International Journal of Computer Vision, 1-20, 2024 | 224 | 2024 |
| Vbench: Comprehensive benchmark suite for video generative models Z Huang, Y He, J Yu, F Zhang, C Si, Y Jiang, Y Zhang, T Wu, Q Jin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 224 | 2024 |
| Internvid: A large-scale video-text dataset for multimodal understanding and generation Y Wang, Y He, Y Li, K Li, J Yu, X Ma, X Li, G Chen, X Chen, Y Wang, C He, ... arXiv preprint arXiv:2307.06942, 2023 | 221 | 2023 |
| Forgerynet: A versatile benchmark for comprehensive forgery analysis Y He, B Gan, S Chen, Y Zhou, G Yin, L Song, L Sheng, J Shao, Z Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 160 | 2021 |
| Videomamba: State space model for efficient video understanding K Li, X Li, Y Wang, Y He, Y Wang, L Wang, Y Qiao European Conference on Computer Vision, 237-255, 2024 | 150 | 2024 |
| Unmasked teacher: Towards training-efficient video foundation models K Li, Y Wang, Y Li, Y Wang, Y He, L Wang, Y Qiao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 144 | 2023 |
| Uniformerv2: Spatiotemporal learning by arming image vits with video uniformer K Li, Y Wang, Y He, Y Li, Y Wang, L Wang, Y Qiao arXiv preprint arXiv:2211.09552, 2022 | 129 | 2022 |
| Internvideo2: Scaling foundation models for multimodal video understanding Y Wang, K Li, X Li, J Yu, Y He, G Chen, B Pei, R Zheng, Z Wang, Y Shi, ... European Conference on Computer Vision, 396-416, 2024 | 119 | 2024 |
| Interngpt: Solving vision-centric tasks by interacting with chatgpt beyond language Z Liu, Y He, W Wang, W Wang, Y Wang, S Chen, Q Zhang, Z Lai, Y Yang, ... arXiv preprint arXiv:2305.05662, 2023 | 90 | 2023 |
| Uniformerv2: Unlocking the potential of image vits for video understanding K Li, Y Wang, Y He, Y Li, Y Wang, L Wang, Y Qiao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 50 | 2023 |
| Internvideo-ego4d: A pack of champion solutions to ego4d challenges G Chen, S Xing, Z Chen, Y Wang, K Li, Y Li, Y Liu, J Wang, YD Zheng, ... arXiv preprint arXiv:2211.09529, 2022 | 43 | 2022 |
| Intern: A new learning paradigm towards general vision J Shao, S Chen, Y Li, K Wang, Z Yin, Y He, J Teng, Q Sun, M Gao, J Liu, ... arXiv preprint arXiv:2111.08687, 2021 | 37 | 2021 |
| From gpt-4 to gemini and beyond: Assessing the landscape of mllms on generalizability, trustworthiness and causality through four modalities C Lu, C Qian, G Zheng, H Fan, H Gao, J Zhang, J Shao, J Deng, J Fu, ... arXiv preprint arXiv:2401.15071, 2024 | 14 | 2024 |
| OmniCorpus: An Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text Q Li, Z Chen, W Wang, W Wang, S Ye, Z Jin, G Chen, Y He, Z Gao, E Cui, ... arXiv preprint arXiv:2406.08418, 2024 | 9 | 2024 |
| X-learner: Learning cross sources and tasks for universal visual representation Y He, G Huang, S Chen, J Teng, K Wang, Z Yin, L Sheng, Z Liu, Y Qiao, ... European Conference on Computer Vision, 509-528, 2022 | 7 | 2022 |
| Vbench++: Comprehensive and versatile benchmark suite for video generative models Z Huang, F Zhang, X Xu, Y He, J Yu, Z Dong, Q Ma, N Chanpaisit, C Si, ... arXiv preprint arXiv:2411.13503, 2024 | 6 | 2024 |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CASПодтвержден адрес электронной почты в домене siat.ac.cn
