Publications (7)
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…
Two-octave frequency combs from all-silica-fiber implementation
Yanyan Zhang, Mingkun Li, Pan Zhang +5
Mid-infrared frequency comb spectroscopy enables measurement of molecular at megahertz spectral resolution, sub-hertz frequency accuracy and microsecond acquisition speed. However,…
SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change
Mingkun Li, Peng Xu, Chun-Guang Li +1
In this paper, we address a highly challenging yet critical task: unsupervised long-term person re-identification with clothes change. Existing unsupervised person re-id methods ar…
Near-Field ISAC for THz Wireless Systems
Fan Zhang, Tianqi Mao, Mingkun Li +4
Sixth-generation (6G) wireless networks are expected not only to provide high-speed connectivity but also to support reliable sensing capabilities, giving rise to the integrated se…
A Deep Learning Framework with Geographic Information Adaptive Loss for Remote Sensing Images based UAV Self-Positioning
Mingkun Li, Ziming Wang, Guang Huo +2
With the expanding application scope of unmanned aerial vehicles (UAVs), the demand for stable UAV control has significantly increased. However, in complex environments, GPS signal…
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.…