3 citations · 7 across the 8 of their papers we have counts for
13 papers · 1 filter
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…
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…
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…
A Quality-Guided Mixture of Score-Fusion Experts Framework for Human Recognition
Jie Zhu, Yiyang Su, Minchul Kim +2
Whole-body biometric recognition is a challenging multimodal task that integrates various biometric modalities, including face, gait, and body. This integration is essential for ov…
Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait
Feng Liu, Nicholas Chimitt, Lanqing Guo +16
We address the problem of whole-body person recognition in unconstrained environments. This problem arises in surveillance scenarios such as those in the IARPA Biometric Recognitio…
50 Years of Automated Face Recognition
Minchul Kim, Anil Jain, Xiaoming Liu
Over the past five decades, automated face recognition (FR) has progressed from handcrafted geometric and statistical approaches to advanced deep learning architectures that now ap…