439 citations · 453 across the 2 of their papers we have counts for
5 papers
Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification
Xing Fan, Hao Luo, Chi Zhang +1
Due to its potential wide applications in video surveillance and other computer vision tasks like tracking, person re-identification (ReID) has become popular and been widely inves…
STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification
Hao Luo, Xing Fan, Chi Zhang +1
Partial person re-identification (ReID) is a challenging task because only partial information of person images is available for matching target persons. Few studies, especially on…
SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification
Xing Fan, Hao Luo, Xuan Zhang +3
Holistic person re-identification (ReID) has received extensive study in the past few years and achieves impressive progress. However, persons are often occluded by obstacles or ot…
SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
Xing Fan, Wei Jiang, Hao Luo +1
Many current successful Person Re-Identification(ReID) methods train a model with the softmax loss function to classify images of different persons and obtain the feature vectors a…
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
Xuan Zhang, Hao Luo, Xing Fan +6
In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features. Global feature learning benefits greatly fr…