The devil in the tail: Cluster consolidation plus cluster adaptive balancing loss for unsupervised person re-identification

Learning hybrid ranking representation for person re-identification

(2021) Guile Wu et al.   PATTERN RECOGNITION

Unsupervised domain adaptive re-identification: Theory and practice

(2020) Liangchen Song et al.   PATTERN RECOGNITION

Deviation based clustering for unsupervised person re-identification

(2020) Munan Ning et al.   PATTERN RECOGNITION LETTERS

Progressive sample mining and representation learning for one-shot person re-identification

(2020) Hui Li et al.   PATTERN RECOGNITION

Depth occlusion perception feature analysis for person re-identification

(2020) Shuren Zhou et al.   PATTERN RECOGNITION LETTERS

Transferring learning from multi-person tracking to person re-identification

(2019) María José Gómez-Silva et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Improving person re-identification by attribute and identity learning

(2019) Yutian Lin et al.   PATTERN RECOGNITION

AlignedReID++: Dynamically matching local information for person re-identification

(2019) Hao Luo et al.   PATTERN RECOGNITION

Semi-supervised person re-identification using multi-view clustering

(2018) Xiaomeng Xin et al.   PATTERN RECOGNITION

Person re-identification by unsupervised video matching

(2017) Xiaolong Ma et al.   PATTERN RECOGNITION

Towards Open-World Person Re-Identification by One-Shot Group-Based Verification

(2016) Wei-Shi Zheng et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE