most citedDEX: Domain Embedding Expansion for Generalized Person Re-identification

5 citations · 5 across the 1 of their papers we have counts for

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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

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

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.CV2024

Color Space Learning for Cross-Color Person Re-Identification

Jiahao Nie, Shan Lin, Alex C. Kot

The primary color profile of the same identity is assumed to remain consistent in typical Person Re-identification (Person ReID) tasks. However, this assumption may be invalid in r…

cs.CV20215 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…