Jin Ding — accepted AI-conference papers

2026

Tackling Alignment Ambiguity in Person Retrieval through Conversational Attribute Mining

Hao Zou, Runqing Zhang, Jin Ding, Xue Zhou, Jianxiao Zou, Mingzhu Cai

CVPR 2026

Text-to-Image Person Retrieval (TIPR) aims to retrieve pedestrian images with a given natural language description. It remains highly challenging due to the inherent ambiguity in cross-modal alignment: existing models often struggle to capture fine-grained correspondences, and their understanding of

Cited by 0 Source ↗code ↗Scholar ↗

2024

Rethinking Normalization Layers for Domain Generalizable Person Re-identification

Ren Nie, Jin Ding, Xue Zhou*, Xi Li

ECCV 2024poster

"Domain Generalizable Person Re-Identification (DG-ReID) strives to transfer learned feature representation from source domains to unseen target domains, despite significant distribution shifts. While most existing methods enhance model generalization and discriminative feature extraction capability…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗