Research
My general research interests lie in person re-identification, image retrieval, and deep metric learning, with a particular emphasis on the following topics:
Theory:
Analysis and understanding of the generalization ability of various loss functions.
Algorithm:
Development of effective deep learning algorithms for person re-identification and image retrieval.
Application:
Application of learning algorithms in person re-identification, image retrieval, and deep metric learning.
Feel free to drop me an email if you are interested in collaborating with me on the above research topics.
Publications
(* Corresponding author; † Equal contribution)
Xiaopan Li, Shiqian Wu, Xin Yuan, Shoulie Xie, Sos Agaian.
Hierarchical Wavelet-Guided Diffusion Model for Single Image Deblurring.
The Visual Computer, Accepted, 2024.
Hengwei Li, Wei Wang, Xiao Wang, Xin Yuan, Xin Xu.
Blind 3D Video Stabilization with Spatio-Temporally Varying Motion Blur.
ACM Transactions on Multimedia Computing, Communications, and Applications, Accepted, 2024.
Wanyu Wu, Wei Wang, Xin Yuan, Xin Xu.
LIMPID: A Lightweight Image-to-Curve MaPpIng moDel for Extremely Low-Light Image Enhancement.
Photonics, vol. 10, no. 3, p. 273, 2023.
Xin Yuan, Xin Xu, Zheng Wang, Kai Zhang, Wei Liu, Ruimin Hu.
Searching Parameterized Retrieval & Verification Loss for Re-identification.
IEEE Journal of Selected Topics in Signal Processing, vol. 17, no. 3, pp. 560-574, 2023.
Xin Yuan, Xin Xu, Xiao Wang, Liang Liao, Kai Zhang, Zheng Wang, Chia-Wen Lin.
OSAP-Loss: Efficient Optimization of Average Precision via Involving Samples after Positive Ones Towards Remote Sensing Image Retrieval.
CAAI Transactions on Intelligence Technology, vol. 8, no. 4, pp. 1191-1212, 2023.
Xin Xu, Xin Yuan, Zheng Wang, Kai Zhang, Ruimin Hu.
Rank-in-Rank Loss for Person Re-identification.
ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 18, no. 2s, art. no. 130, pp. 1-21, 2022.
Xiang Shuai, Xiao Wang, Wei Wang, Xin Yuan, Xin Xu.
SAM: Self Attention Mechanism for Scene Text Recognition based on Swin Transformer.
Proceedings of the 28th International Conference on Multimedia Modeling (MMM'22), pp. 443–454, 2022.
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