591 citations · 1.1k across the 8 of their papers we have counts for
8 papers
Multi-Domain Learning and Identity Mining for Vehicle Re-Identification
Shuting He, Hao Luo, Weihua Chen +5
This paper introduces our solution for the Track2 in AI City Challenge 2020 (AICITY20). The Track2 is a vehicle re-identification (ReID) task with both the real-world data and synt…
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…
Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification
Jingjing Qian, Wei Jiang, Hao Luo +1
Vehicle re-identification (Re-ID) has been attracting increasing interest in the field of computer vision due to the growing utilization of surveillance cameras in public security.…
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
Hao Luo, Wei Jiang, Youzhi Gu +4
This study explores a simple but strong baseline for person re-identification (ReID). Person ReID with deep neural networks has progressed and achieved high performance in recent y…
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Hao Luo, Youzhi Gu, Xingyu Liao +2
This paper explores a simple and efficient baseline for person re-identification (ReID). Person re-identification (ReID) with deep neural networks has made progress and achieved hi…
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…