8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2020
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation
Pingyang Dai, Peixian Chen, Qiong Wu +4
Unsupervised domain adaptation (UDA) aims to address the domain-shift problem between a labeled source domain and an unlabeled target domain. Many efforts have been made to address…
cs.IR2020★ 8 cited
Dual Distribution Alignment Network for Generalizable Person Re-Identification
Peixian Chen, Pingyang Dai, Jianzhuang Liu +3
Domain generalization (DG) serves as a promising solution to handle person Re-Identification (Re-ID), which trains the model using labels from the source domain alone, and then dir…
cs.IR2019
Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding
Peixian Chen, Pingyang Dai, Qiong Wu +1
Recently, the applications of person re-identification in visual surveillance and human-computer interaction are sharply increasing, which signifies the critical role of such a pro…