activity
20212024
most citedA Unified Deep Semantic Expansion Framework for Domain-Generalized Person Re-identification

6 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Aligned Divergent Pathways for Omni-Domain Generalized Person Re-Identification

Eugene P. W. Ang, Shan Lin, Alex C. Kot

Person Re-identification (Person ReID) has advanced significantly in fully supervised and domain generalized Person R e ID. However, methods developed for one task domain transfer…

cs.CV2024★ 2 cited

Diverse Deep Feature Ensemble Learning for Omni-Domain Generalized Person Re-identification

Eugene P. W. Ang, Shan Lin, Alex C. Kot

Person Re-identification (Person ReID) has progressed to a level where single-domain supervised Person ReID performance has saturated. However, such methods experience a significan…

cs.CV2024★ 6 cited

A Unified Deep Semantic Expansion Framework for Domain-Generalized Person Re-identification

Eugene P. W. Ang, Shan Lin, Alex C. Kot

Supervised Person Re-identification (Person ReID) methods have achieved excellent performance when training and testing within one camera network. However, they usually suffer from…

cs.CV2022★ 1 cited

Adversarial Pairwise Reverse Attention for Camera Performance Imbalance in Person Re-identification: New Dataset and Metrics

Eugene P. W. Ang, Shan Lin, Rahul Ahuja +2

Existing evaluation metrics for Person Re-Identification (Person ReID) models focus on system-wide performance. However, our studies reveal weaknesses due to the uneven data distri…

cs.CV2021★ 5 cited

DEX: Domain Embedding Expansion for Generalized Person Re-identification

Eugene P. W. Ang, Lin Shan, Alex C. Kot

In recent years, supervised Person Re-identification (Person ReID) approaches have demonstrated excellent performance. However, when these methods are applied to inputs from a diff…