| Graph Neural Networks in Computer Vision S Tang, W Zhang, Z Mu, K Shen, J Li, J Li, L Wu Graph Neural Networks: Foundations, Frontiers, and Applications, 447-462, 2022 | 494* | 2022 |
| Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions J Li, K Pan, Z Ge, M Gao, W Ji, W Zhang, TS Chua, S Tang, H Zhang, ... The Twelfth International Conference on Learning Representations, 2023 | 95* | 2023 |
| Fine-Grained Semantically Aligned Vision-Language Pre-Training J Li, X He, L Wei, L Qian, L Zhu, L Xie, Y Zhuang, Q Tian, S Tang Conference on Neural Information Processing Systems, 2022 | 79 | 2022 |
| Unsupervised Reinforcement Learning of Transferable Meta-skills for Embodied Navigation J Li, X Wang, S Tang, H Shi, F Wu, Y Zhuang, WY Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 78 | 2020 |
| Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning J Li, J Xie, L Qian, L Zhu, S Tang, F Wu, Y Yang, Y Zhuang, XE Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 76 | 2022 |
| Hallucidoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data Q Yu, J Li, L Wei, L Pang, W Ye, B Qin, S Tang, Q Tian, Y Zhuang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 55 | 2023 |
| MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning W Zhang, H Shi, J Guo, S Zhang, Q Cai, J Li, S Luo, Y Zhuang AAAI 2022, 2021 | 42 | 2021 |
| Are binary annotations sufficient? video moment retrieval via hierarchical uncertainty-based active learning W Ji, R Liang, Z Zheng, W Zhang, S Zhang, J Li, M Li, T Chua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 36 | 2023 |
| Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World Q Yu, J Li, Y Wu, S Tang, W Ji, Y Zhuang Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 31 | 2023 |
| Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference J Li, S Tang, L Zhu, H Shi, X Huang, F Wu, Y Yang, Y Zhuang Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 28 | 2021 |
| Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning L Qian, J Li, Y Wu, Y Ye, H Fei, TS Chua, Y Zhuang, S Tang The Forty-first International Conference on Machine Learning, 2024 | 27 | 2024 |
| Gradient-regulated meta-prompt learning for generalizable vision-language models J Li, M Gao, L Wei, S Tang, W Zhang, M Li, W Ji, Q Tian, TS Chua, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 27 | 2023 |
| Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding J Li, S Tang, L Zhu, W Zhang, Y Yang, TS Chua, F Wu, Y Zhuang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 23 | 2023 |
| WorldGPT: Empowering LLM as Multimodal World Model Z Ge, H Huang, M Zhou, J Li, G Wang, S Tang, Y Zhuang Proceedings of the 32st ACM International Conference on Multimedia, 2024 | 21 | 2024 |
| Walking with Mind: Mental Imagery Enhanced Embodied QA J Li, S Tang, F Wu, Y Zhuang Proceedings of the 27th ACM International Conference on Multimedia, 1211-1219, 2019 | 21 | 2019 |
| Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer W Zhang, Z Lv, H Zhou, JW Liu, J Li, M Li, S Tang, Y Zhuang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 17 | 2024 |
| Topic adaptation and prototype encoding for few-shot visual storytelling J Li, S Tang, J Li, J Xiao, F Wu, S Pu, Y Zhuang Proceedings of the 28th ACM International Conference on Multimedia, 4208-4216, 2020 | 17 | 2020 |
| Instructvid2vid: Controllable video editing with natural language instructions B Qin, J Li, S Tang, TS Chua, Y Zhuang 2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024 | 16 | 2024 |
| Hyperllava: Dynamic visual and language expert tuning for multimodal large language models W Zhang, T Lin, J Liu, F Shu, H Li, L Zhang, H Wanggui, H Zhou, Z Lv, ... arXiv preprint arXiv:2403.13447, 2024 | 16 | 2024 |
| Interactive data synthesis for systematic vision adaptation via llms-aigcs collaboration Q Yu, J Li, W Ye, S Tang, Y Zhuang arXiv preprint arXiv:2305.12799, 2023 | 16 | 2023 |
Siliang TangProfessor of Computer Science, Zhejiang Universityبريد إلكتروني تم التحقق منه على zju.edu.cn
