61 citations · 239 across the 18 of their papers we have counts for
5 papers · 1 filter
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification
Lei Qi, Lei Wang, Jing Huo +2
In this paper, we focus on the semi-supervised person re-identification (Re-ID) case, which only has the intra-camera (within-camera) labels but not inter-camera (cross-camera) lab…
GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification
Lei Qi, Lei Wang, Jing Huo +2
In this paper, we observe that most false positive images (i.e., different identities with query images) in the top ranking list usually have the similar color information with the…
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification
Lei Qi, Lei Wang, Jing Huo +3
In person re-identification (Re-ID), supervised methods usually need a large amount of expensive label information, while unsupervised ones are still unable to deliver satisfactory…
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Wenbin Li, Lei Wang, Jinglin Xu +3
Few-shot learning in image classification aims to learn a classifier to classify images when only few training examples are available for each class. Recent work has achieved promi…
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
Lei Qi, Lei Wang, Jing Huo +3
Unsupervised cross-domain person re-identification (Re-ID) faces two key issues. One is the data distribution discrepancy between source and target domains, and the other is the la…