22 citations · 32 across the 11 of their papers we have counts for
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cs.CV2023
iKUN: Speak to Trackers without Retraining
Yunhao Du, Cheng Lei, Zhicheng Zhao +1
Referring multi-object tracking (RMOT) aims to track multiple objects based on input textual descriptions. Previous works realize it by simply integrating an extra textual module i…
cs.CV2023
Video-based Visible-Infrared Person Re-Identification with Auxiliary Samples
Yunhao Du, Cheng Lei, Zhicheng Zhao +2
Visible-infrared person re-identification (VI-ReID) aims to match persons captured by visible and infrared cameras, allowing person retrieval and tracking in 24-hour surveillance s…
cs.CV2023★ 1 cited
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identification
Ziqi He, Mengjia Xue, Yunhao Du +2
Unsupervised Re-ID methods aim at learning robust and discriminative features from unlabeled data. However, existing methods often ignore the relationship between module parameters…