From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification

Yan Jiang, Hao Yu, Xu Cheng, Haoyu Chen, Zhaodong Sun, Guoying Zhao 0001. From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025. pages 8828-8837, Computer Vision Foundation / IEEE, 2025. [doi]

@inproceedings{JiangYCCS025,
  title = {From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification},
  author = {Yan Jiang and Hao Yu and Xu Cheng and Haoyu Chen and Zhaodong Sun and Guoying Zhao 0001},
  year = {2025},
  url = {https://openaccess.thecvf.com/content/CVPR2025/html/Jiang_From_Laboratory_to_Real_World_A_New_Benchmark_Towards_Privacy-Preserved_CVPR_2025_paper.html},
  researchr = {https://researchr.org/publication/JiangYCCS025},
  cites = {0},
  citedby = {0},
  pages = {8828-8837},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025},
  publisher = {Computer Vision Foundation / IEEE},
  isbn = {979-8-3503-5300-6},
}