4 papers · 1 filter
DiCo: Disentangled Concept Representation for Text-to-image Person Re-identification
Giyeol Kim, Chanho Eom
Text-to-image person re-identification (TIReID) aims to retrieve person images from a large gallery given free-form textual descriptions. TIReID is challenging due to the substanti…
Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
Jeimin Jeon, Youngmin Oh, Junghyup Lee +4
N-shot neural architecture search (NAS) exploits a supernet containing all candidate subnets for a given search space. The subnets are typically trained with a static training stra…
Cerberus: Attribute-based person re-identification using semantic IDs
Chanho Eom, Geon Lee, Kyunghwan Cho +3
We introduce a new framework, dubbed Cerberus, for attribute-based person re-identification (reID). Our approach leverages person attribute labels to learn local and global person…
Disentangled Representations for Short-Term and Long-Term Person Re-Identification
Chanho Eom, Wonkyung Lee, Geon Lee +1
We address the problem of person re-identification (reID), that is, retrieving person images from a large dataset, given a query image of the person of interest. A key challenge is…