most citedA Versatile Framework for Multi-scene Person Re-identification

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2024

PixelFade: Privacy-preserving Person Re-identification with Noise-guided Progressive Replacement

Delong Zhang, Yi-Xing Peng, Xiao-Ming Wu +2

Online person re-identification services face privacy breaches from potential data leakage and recovery attacks, exposing cloud-stored images to malicious attackers and triggering…

cs.CV2024

Rethinking Few-shot Class-incremental Learning: Learning from Yourself

Yu-Ming Tang, Yi-Xing Peng, Jingke Meng +1

Few-shot class-incremental learning (FSCIL) aims to learn sequential classes with limited samples in a few-shot fashion. Inherited from the classical class-incremental learning set…

cs.CV20241 cited

A Versatile Framework for Multi-scene Person Re-identification

Wei-Shi Zheng, Junkai Yan, Yi-Xing Peng

Person Re-identification (ReID) has been extensively developed for a decade in order to learn the association of images of the same person across non-overlapping camera views. To o…

cs.CV2024

XOV-Action: Towards Generalizable Open-Vocabulary Action Recognition

Kun-Yu Lin, Henghui Ding, Jia-Run Du +6

Inspired by the impressive success of image-text foundation models, recent works have proposed to adapt these foundation models to video data, leading to efficient and effective vi…

cs.CV2023

Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval

Dixuan Lin, Yixing Peng, Jingke Meng +1

Text-to-image person re-identification (ReID) aims to retrieve images of a person based on a given textual description. The key challenge is to learn the relations between detailed…