Publications
NTIRE2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, and others
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2025.
[Paper][Code]CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes
Tim Brödermann ‡, Christos Sakaridis, Yuqian Fu ‡, Luc Van Gool
IEEE Robotics and Automation Letters (RA-L), 2025.
[Paper][Code][Youtube Video (coming soon) ][Bilibili Video (coming soon)][Project Page (combing soon)]Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
Jiancheng Pan, Yanxing Liu, Yuqian Fu ‡, Muyuan Ma, Jiahao Li, Danda Pani Paudel, Luc Van Gool, Xiaomeng Huang ‡
The AAAI Conference on Artificial Intelligence (AAAI), 2025.
[Paper][Code][Youtube Video (coming soon) ][Bilibili Video ][Project Page]Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
Yuqian Fu, Yu Wang, Yixuan Pan, Lian Huai, Xingyu Qiu, Zeyu Shangguan, Tong Liu, Yanwei Fu, Luc Van Gool, Xingqun Jiang
The European Conference on Computer Vision (ECCV), 2024.
[Paper][Code][Youtube Video][Bilibili Video][Project Page]Unified View Empirical Study for Large Pretrained Model on Cross-Domain Few-Shot Learning
Linhai Zhuo, Yuqian Fu, Jingjing Chen, Yixin Cao, Yu-Gang Jiang
ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2024.
[Paper]MinD-3D: Reconstruct High-quality 3D objects in Human Brain
Jianxiong Gao, Yuqian Fu, Yun Wang, Xuelin Qian, Jianfeng Feng, Yanwei Fu
The European Conference on Computer Vision (ECCV), 2024.
[Paper][Code][Project Page]Open-Vocabulary Video Relation Extraction
Wentao Tian, Zheng Wang, Yuqian Fu, Jingjing Chen, Lechao Cheng
AAAI Conference on Artificial Intelligence (AAAI), 2024.
[Paper]On the Importance of Spatial Relations for Few-shot Action Recognition
Yilun Zhang, Yuqian Fu, Xingjun Ma, Lizhe Qi, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
ACM International Conference on Multimedia (ACM MM), 2023.
[Paper]StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
Yuqian Fu, Yu Xie, Yanwei Fu, Yu-Gang Jiang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[Paper][Code][Youtube Video][Bilibili Video][Project Page]Generalized Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data
Yuqian Fu, Yanwei Fu, Jingjing Chen, Yu-Gang Jiang
IEEE Transactions on Image Processing (TIP), 2022.
[Paper]ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning
Yuqian Fu, Yu Xie, Yanwei Fu, Jingjing Chen, Yu-Gang Jiang
ACM International Conference on Multimedia (ACM MM), 2022.
[Paper][Code][Youtube Video][Bilibili Video]TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning
Linhai Zhuo, Yuqian Fu, Jingjing Chen, Yixin Cao, Yu-Gang Jiang
ACM International Conference on Multimedia (ACM MM), 2022.
[Paper]Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
Yuqian Fu, Yu Xie, Yanwei Fu, Jingjing Chen, Yu-Gang Jiang
arXiv preprint, 2022.
[Paper][Code]Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data
Yuqian Fu, Yanwei Fu, Yu-Gang Jiang
ACM International Conference on Multimedia (ACM MM), 2021.
[Paper][Code][Youtube Video][Bilibili Video][Project Page]Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos
Yuqian Fu, Yanwei Fu, Yu-Gang Jiang
International Conference on Multimedia Retrieval (ICMR). 2021. (Oral)
[Paper][Bilibili Video]Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition
Yuqian Fu, Li Zhang, Junke Wang, Yanwei Fu, Yu-Gang Jiang
ACM International Conference on Multimedia (ACM MM), 2020. (Oral)
[Paper][Code][Youtube Video][Bilibili Video][Project Page]Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent
Yuqian Fu, Chengrong Wang, Yanwei Fu, Yu-Xiong Wang, Cong Bai, Xiangyang Xue, Yu-Gang Jiang
ACM International Conference on Multimedia (ACM MM), 2019. (Oral)
[Paper][Code][UnrealAction Dataset]
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