| Metasaug: Meta semantic augmentation for long-tailed visual recognition S Li, K Gong, CH Liu, Y Wang, F Qiao, X Cheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 184 | 2021 |
| Transferable semantic augmentation for domain adaptation S Li, M Xie, K Gong, CH Liu, Y Wang, W Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 155 | 2021 |
| Meta-transformer: A unified framework for multimodal learning Y Zhang, K Gong, K Zhang, H Li, Y Qiao, W Ouyang, X Yue arXiv preprint arXiv:2307.10802, 2023 | 138 | 2023 |
| Onellm: One framework to align all modalities with language J Han, K Gong, Y Zhang, J Wang, K Zhang, D Lin, Y Qiao, P Gao, X Yue IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 99 | 2024 |
| Improving transferability for domain adaptive detection transformers K Gong, S Li, S Li, R Zhang, CH Liu, Q Chen Proceedings of the 30th ACM International Conference on Multimedia, 1543-1551, 2022 | 38 | 2022 |
| Pareto domain adaptation J Liang, K Gong, S Li, CH Liu, H Li, D Liu, G Wang Advances in Neural Information Processing Systems 34, 12917-12929, 2021 | 35 | 2021 |
| Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors L Ding, S Dong, Z Huang, Z Wang, Y Zhang, K Gong, D Xu, T Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
| Critical classes and samples discovering for partial domain adaptation S Li, K Gong, B Xie, CH Liu, W Cao, S Tian IEEE Transactions on Cybernetics 53 (9), 5641-5654, 2022 | 12 | 2022 |
| Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities Y Zhang, X Ding, K Gong, Y Ge, Y Shan, X Yue IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 7 | 2024 |
| Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint M Xie, S Li, K Gong, Y Wang, G Huang International Journal of Computer Vision, 1-25, 2023 | 5 | 2023 |
| Towards Unified and Effective Domain Generalization Y Zhang, K Gong, X Ding, K Zhang, F Lv, K Keutzer, X Yue arXiv preprint arXiv:2310.10008, 2023 | 5 | 2023 |
| MetaSAug: Meta semantic augmentation for long-tailed visual recognition. 2021 IEEE S Li, K Gong, CH Liu, Y Wang, F Qiao, X Cheng CVF conference on computer vision and pattern recognition (CVPR), 5208-5217, 2021 | 5 | 2021 |
| Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation S Li, R Zhang, K Gong, M Xie, W Ma, G Gao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 4 | 2023 |
| AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information? K Gong, K Feng, B Li, Y Wang, M Cheng, S Yang, J Han, B Wang, Y Bai, ... arXiv preprint arXiv:2412.02611, 2024 | 2 | 2024 |
| End-to-end transferable anomaly detection via multi-spectral cross-domain representation alignment S Li, S Li, M Xie, K Gong, J Zhao, CH Liu, G Wang IEEE Transactions on Knowledge and Data Engineering 35 (12), 12194-12207, 2021 | 2 | 2021 |
| Reg-TTA3D: Better Regression Makes Better Test-Time Adaptive 3D Object Detection J Yuan, B Zhang, K Gong, X Yue, B Shi, Y Qiao, T Chen European Conference on Computer Vision, 197-213, 2024 | 1 | 2024 |
| $\textit {Bifr\" ost} $: 3D-Aware Image Compositing with Language Instructions L Li, K Gong, WH Li, T Chen, X Yuan, X Yue Advances in Neural Information Processing Systems 37, 129480-129506, 2025 | | 2025 |
| Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation F Lv, K Gong, J Liang, X Pang, C Zhang Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
| BIFR\" OST: 3D-Aware Image compositing with Language Instructions L Li, K Gong, W Li, X Dai, T Chen, X Yuan, X Yue arXiv preprint arXiv:2410.19079, 2024 | | 2024 |
| Towards Continual Domain Adaptation of Vision-language Models Y Jiang, Y Zhang, K Gong, J Han, WH Li, X Yue | | |
Xiangyu YueAssistant Professor at The Chinese University of Hong KongПодтвержден адрес электронной почты в домене eecs.berkeley.edu
