Welcome to Yuqian Fu’s homepage

Biography

I am currectly a postdoc researcher at INSAIT, Sofia, Bulgaria, working with Prof. Luc Van Gool and Dr. Danda Paudel. Previously, I was a postdoc researcher at Computer Vision Lab (CVL), ETH Zürich, Switzerland, where I was also fortunate to be mentored by Prof. Luc Van Gool.

I received my Ph.D. degree from School of Computer Science, Fudan University, China, in June 2023, advised by Prof. Yu-Gang Jiang and co-advised by Prof. Yanwei Fu. During my Ph.D studies, I also worked closely with Associate Professor Jingjing Chen. Before that, I received my bachelor’s degree in computer science from Zhejiang University of Technology, China, in June 2018, supervised by Associate Professor Cong Bai.

My research topics are computer vision and deep learning. I mainly focus on transfer learning during my Ph.D period especially few-shot learning and cross domain issues. Currently, I am also exploring open-vocabulary learning and multimodal approaches.

Recently, INSAIT still has several open positions for PhD especially for multimodal related tasks. If you are interested in joining or remotely working with us, feel free to drop an email to me: yuqian.fu@insait.ai.

News

[12/2024] One paper is accepted by AAAI2025. Congrats to Jiancheng.
[07/2024] We have relaunched the UnrealAction dataset.
[07/2024] Two papers are accepted by ECCV2024. Congrats to Jianxiong, Yu, and Yixuan.
[04/2024] I joined INSAIT as a postdoc researcher.
[12/2023] One paper is accepted by AAAI2024. Congrats to Wentao.
[09/2023] I joined CVL lab at ETH Zürich.
[07/2023] One paper is accepted by ACM MM 2023.
[06/2023] I have earned a doctoral degree.
[04/2023] I have received 100 citations!
[02/2023] One paper is accepted by CVPR2023.
[10/2022] One paper is accepted by TIP.
[06/2022] Two papers are accepted by ACM MM 2022.
[12/2021] I am recognized as an outstanding student of Fudan University.
[06/2021] One paper is accepted by ACM MM 2021.
[04/2021] One paper is accepted by ICMR 2021.
[07/2020] One paper is accepted by ACM MM 2020.
[12/2019] I am awarded the Chinese National Scholarship.
[07/2019] One paper is accepted by ACM MM 2019.
[09/2018] I joined FVL lab at Fudan University.

Selected Publications

	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 (coming soon) ][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]

	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 Processinig (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]