Yoonki presented his paper, “Towards Robustness of Person Search against Corruptions,” at the ICCV 2025 Conference, held from October 19-23, 2025, in Honolulu, Hawaii.
The paper introduces new benchmarks (CUHK-SYSU-C and PRW-C) to evaluate how person search models fail when images are corrupted. Based on this analysis, it proposes a foreground-aware augmentation technique and a regularizer to substantially improve model robustness.
