Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems, which aims to automatically recognize and locate individuals across a multi-camera network …
H Yu, X Li, Y Feng, S Han - Applied intelligence, 2023 - Springer
Marine target detection is a challenging task because degraded underwater images cause unclear targets. Furthermore, marine targets are small in size and tend to live together. The …
G Wu, X Zhu, S Gong - Pattern Recognition, 2022 - Elsevier
Contemporary person re-identification (re-id) methods mostly compute independentlya feature representation of each person image in the query set and the gallery set. This …
Attribute-image person re-identification (AIPR) is a cross-modal retrieval task that searches person images who meet a list of attributes. Due to large modal gaps between attributes and …
Z Cheng, Q Dong, S Gong… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Person images captured by unconstrained surveillance cameras often have low resolutions (LR). This causes the resolution mismatch problem when matched against the high …
Multi-label pedestrian attribute recognition in surveillance is inherently a challenging task due to poor imaging quality, large pose variations, and so on. In this paper, we improve its …
RGB-Infrared (IR) person re-identification aims to retrieve person-of-interest from heterogeneous cameras, easily suffering from large image modality discrepancy caused by …
Person re-identification (re-ID) is a method that uses several non-overlapping cameras to identify the same individual. Person re-ID has been employed successfully in a diversity of …
Person re-identification (re-ID) is commonly investigated as a ranking problem. However, the performance of existing re-ID models drops dramatically, when they encounter extreme …