Shuren Qi @ NUAA

祁树仁 Shuren Qi  (S. Qi) Ph.D. Student College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 211106, China shurenqi@nuaa.edu.cn   |   i@srqi.email Google Scholar   |   DBLP   |   Github

🔥News

• Hello, I am actively looking for academic job opportunities, especially Postdoc positions, starting from Summer 2024. Please reach out if you have any openings.

👨‍🎓Research

• My research involves the general topics of invariance, robustness, and explainability in computer vision, with a focus on invariant representations, for closing today's trustworthiness gap in artificial intelligence, e.g., forensic and security of visual data. My current work attempts to give some principled designs of invariant representations — in global, local, and hierarchical senses, from theoretical, practical, and application perspectives. My research work has appeared in several top-tier venues of above areas, e.g., ACM Computing Surveys and IEEE TPAMI (×2).

📊Representative Publications

• A survey of orthogonal moments for image representation: Theory, implementation, and evaluation.
  Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, and Xiaochun Cao.
  ACM Comput. Surv., 2021.
  [arXiv] [code] [short introduction] [translated version] [highly cited paper]
  
• Representing noisy image without denoising.
  Shuren Qi, Yushu Zhang, Chao Wang, Tao Xiang, Xiaochun Cao, and Yong Xiang.
  IEEE TPAMI, 2024.
  [arXiv] [code]
  
• A principled design of image representation: Towards forensic tasks.
  Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, and Xiaochun Cao.
  IEEE TPAMI, 2022.
  [arXiv] [code] [short introduction] [media coverage] [best paper award]
  
• Hierarchical invariance for robust and interpretable vision tasks at larger scales.
  Shuren Qi, Yushu Zhang, Chao Wang, Zhihua Xia, Xiaochun Cao, and Jian Weng.
  Under review.
  [arXiv] [code]
  
• PS-Net: A learning strategy for accurately exposing the professional Photoshop inpainting.
  Yushu Zhang, Zhibin Fu, Shuren Qi✉, Mingfu Xue, Xiaochun Cao, and Yong Xiang.
  IEEE TNNLS, 2023.
  [short introduction]
  
• PRNU-based image forgery localization with deep multi-scale fusion.
  Yushu Zhang, Qing Tan, Shuren Qi✉, and Mingfu Xue.
  ACM TOMM, 2022.
  [short introduction]
  
• Detection of recolored image by texture features in chrominance components.
  Yushu Zhang, Nuo Chen, Shuren Qi✉, Mingfu Xue, and Zhongyun Hua.
  ACM TOMM, 2022.
  
• Localization of inpainting forgery with feature enhancement network.
  Yushu Zhang, Zhibin Fu, Shuren Qi✉, Mingfu Xue, Zhongyun Hua, and Yong Xiang.
  IEEE TBD, 2022.