11 citations · 37 across the 16 of their papers we have counts for
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cs.CV2026
Restore What Matters: Lessons from Joint Restoration and Recognition
Lanqing Guo, Xijun Wang, Minchul Kim +7
Recognition pipelines typically adopt a restore-then-recognize workflow, yet decades of experience show that generating visually pleasing images seldom translates to improved recog…
cs.CV2026
Subtoken Vision Transformer for Fine-grained Recognition
Jie Zhu, Ivy Zhang, Minchul Kim +1
We present Subtoken Vision Transformer (SubViT), a selective image tokenization method for fine-grained visual recognition. Standard Vision Transformers compress each fixed-size pa…
cs.CV2026
LocalScore: Local Density-Aware Similarity Scoring for Biometrics
Yiyang Su, Minchul Kim, Jie Zhu +4
Open-set biometrics faces challenges with probe subjects who may not be enrolled in the gallery, as traditional biometric systems struggle to detect these non-mated probes. Despite…