118 citations · 132 across the 5 of their papers we have counts for
5 papers
Unsupervised Long-Term Person Re-Identification with Clothes Change
Mingkun Li, Shupeng Cheng, Peng Xu +3
We investigate unsupervised person re-identification (Re-ID) with clothes change, a new challenging problem with more practical usability and scalability to real-world deployment.…
Hybrid Contrastive Learning with Cluster Ensemble for Unsupervised Person Re-identification
He Sun, Mingkun Li, Chun-Guang Li
Unsupervised person re-identification (ReID) aims to match a query image of a pedestrian to the images in gallery set without supervision labels. The most popular approaches to tac…
Learning a Self-Expressive Network for Subspace Clustering
Shangzhi Zhang, Chong You, René Vidal +1
State-of-the-art subspace clustering methods are based on self-expressive model, which represents each data point as a linear combination of other data points. However, such method…
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification
Mingkun Li, Chun-Guang Li, Jun Guo
Unsupervised person re-identification (Re-ID) aims to match pedestrian images from different camera views in unsupervised setting. Existing methods for unsupervised person Re-ID ar…
Learning Graph Normalization for Graph Neural Networks
Yihao Chen, Xin Tang, Xianbiao Qi +2
Graph Neural Networks (GNNs) have attracted considerable attention and have emerged as a new promising paradigm to process graph-structured data. GNNs are usually stacked to multip…