I am currently a 4th-year PhD student of VAI Lab at the School of Computer Science and Technology, Wuhan University of Science and Technology, extremely fortunate to be supervised by Prof. Xin Xu.
My research interests lie in nighttime scene understanding, such as low-light salient object detection, nighttime semantic segmentation, and adverse weather semantic segmentation. If you are seeking any form of academic cooperation on nighttime scene understanding, please feel free to email at wangshiqin@wust.edu.cn.
🔥 Recent News
- 2024.08: 🎉🎉 One paper was accepted by TETCI 2024!
- 2023.07: 🎉🎉 One paper was accepted by ACM MM 2023!
- 2021.03: 🎉🎉 One paper was accepted by TOMM 2021!
📝 Publications
Low-Light Salient Object Detection Meets the Small Size
Shiqin Wang, Xin Xu*, Haoyang Chen, Kui Jiang, Zheng Wang, and Ke Tang
TETCI, 2024
- This paper proposes a new and realistic task, i.e., LS-SOD, which remains largely ignored in the SOD community. Further, to promote the development of the LS-SOD task, this paper proposes the first real LS-SOD dataset, i.e., LSPV, for research and evaluation.
Informative Classes Matter: Towards Unsupervised Domain Adaptive Nighttime Semantic Segmentation
Shiqin Wang, Xin Xu*, Xianzheng Ma, Kui Jiang, and Zheng Wang
ACM MM, 2023
- This paper pioneers a new perspective from cross-domain mixed sampling exploiting informative class mining to facilitate the UDA-NSS task.
Exploring Image Enhancement for Salient Object Detection in Low Light Images
Xin Xu*, Shiqin Wang, Zheng Wang, Xiaolong Zhang, and Ruimin Hu
TOMM, 2021
- This paper proposes an image-enhancement-based SOD for low light images, which is critical for CV applications in low light conditions.
Journal of Real-Time Image Processing 2020 Multi-level feature fusion model-based real-time person re-identification for forensics, Shiqin Wang, Xin Xu, Lei Liu, and Jing Tian, Journal of Real-Time Image Processing 2020
📖 Educations
- 2020.09 - now, Doctoral, Wuhan University of Science and Technology, Wuhan.
- 2016.09 - 2020.06, Undergraduate, Wuhan University of Science and Technology, Wuhan.