Depth guided adaptive meta-fusion network for few-shot video recognition Y Fu, L Zhang, J Wang, Y Fu, YG Jiang Proceedings of the 28th ACM International Conference on Multimedia, 1142-1151, 2020 | 99 | 2020 |
Meta-fdmixup: Cross-domain few-shot learning guided by labeled target data Y Fu, Y Fu, YG Jiang Proceedings of the 29th ACM international conference on multimedia, 5326-5334, 2021 | 81 | 2021 |
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning Y Fu, Y Xie, Y Fu, YG Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 48* | 2023 |
Embodied one-shot video recognition: Learning from actions of a virtual embodied agent Y Fu, C Wang, Y Fu, YX Wang, C Bai, X Xue, YG Jiang Proceedings of the 27th ACM international conference on multimedia, 411-419, 2019 | 38 | 2019 |
Wave-san: Wavelet based style augmentation network for cross-domain few-shot learning Y Fu, Y Xie, Y Fu, J Chen, YG Jiang arXiv preprint arXiv:2203.07656, 2022 | 23 | 2022 |
Generalized meta-fdmixup: Cross-domain few-shot learning guided by labeled target data Y Fu, Y Fu, J Chen, YG Jiang IEEE Transactions on Image Processing 31, 7078-7090, 2022 | 21 | 2022 |
Tgdm: Target guided dynamic mixup for cross-domain few-shot learning L Zhuo, Y Fu, J Chen, Y Cao, YG Jiang Proceedings of the 30th ACM International Conference on Multimedia, 6368-6376, 2022 | 20 | 2022 |
Me-d2n: Multi-expert domain decompositional network for cross-domain few-shot learning Y Fu, Y Xie, Y Fu, J Chen, YG Jiang Proceedings of the 30th ACM international conference on multimedia, 6609-6617, 2022 | 18 | 2022 |
On the Importance of Spatial Relations for Few-shot Action Recognition Y Zhang, Y Fu, X Ma, L Qi, J Chen, Z Wu, YG Jiang Proceedings of the 31st ACM International Conference on Multimedia, 2243-2251, 2023 | 8 | 2023 |
Test-Time Linear Out-of-Distribution Detection K Fan, T Liu, X Qiu, Y Wang, L Huai, Z Shangguan, S Gou, F Liu, Y Fu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
MinD-3D: Reconstruct High-quality 3D objects in Human Brain J Gao, Y Fu, Y Wang, X Qian, J Feng, Y Fu European Conference on Computer Vision (ECCV), 2025 | 6 | 2025 |
Learning disentangled identifiers for action-customized text-to-image generation S Huang, B Gong, Y Feng, X Chen, Y Fu, Y Liu, D Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector Y Fu, Y Wang, Y Pan, L Huai, X Qiu, Z Shangguan, T Liu, Y Fu, ... European Conference on Computer Vision, 247-264, 2025 | 3 | 2025 |
fMRI-3D: A Comprehensive Dataset for Enhancing fMRI-based 3D Reconstruction J Gao, Y Fu, Y Wang, X Qian, J Feng, Y Fu arXiv preprint arXiv:2409.11315, 2024 | 3 | 2024 |
Unified View Empirical Study for Large Pretrained Model on Cross-Domain Few-Shot Learning L Zhuo, Y Fu, J Chen, Y Cao, YG Jiang ACM Transactions on Multimedia Computing, Communications and Applications, 2024 | 3 | 2024 |
Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos Y Fu, Y Fu, YG Jiang Proceedings of the 2021 International Conference on Multimedia Retrieval …, 2021 | 3 | 2021 |
Towards a Generalist and Blind RGB-X Tracker Y Tan, Z Wu, Y Fu, Z Zhou, G Sun, C Ma, DP Paudel, L Van Gool, ... arXiv preprint arXiv:2405.17773, 2024 | 2 | 2024 |
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community J Pan, Y Liu, Y Fu, M Ma, J Li, DP Paudel, L Van Gool, X Huang arXiv preprint arXiv:2408.09110, 2024 | 1 | 2024 |
Open-Vocabulary Video Relation Extraction W Tian, Z Wang, Y Fu, J Chen, L Cheng Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5215-5223, 2024 | 1 | 2024 |
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes T Brödermann, C Sakaridis, Y Fu, L Van Gool IEEE Robotics and Automation Letters, 2025 | | 2025 |