103 citations · 118 across the 4 of their papers we have counts for
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Learning Feature Recovery Transformer for Occluded Person Re-identification
Boqiang Xu, Lingxiao He, Jian Liang +1
One major issue that challenges person re-identification (Re-ID) is the ubiquitous occlusion over the captured persons. There are two main challenges for the occluded person Re-ID…
Deep Learning-based Occluded Person Re-identification: A Survey
Yunjie Peng, Saihui Hou, Chunshui Cao +3
Occluded person re-identification (Re-ID) aims at addressing the occlusion problem when retrieving the person of interest across multiple cameras. With the promotion of deep learni…
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification
Boqiang Xu, Jian Liang, Lingxiao He +1
Domain generalizable (DG) person re-identification (ReID) aims to test across unseen domains without access to the target domain data at training time, which is a realistic but cha…
Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification
Boqiang Xu, Lingxiao He, Xingyu Liao +3
Person re-identification (Re-ID) aims at retrieving an input person image from a set of images captured by multiple cameras. Although recent Re-ID methods have made great success,…