210 citations · 590 across the 16 of their papers we have counts for
6 papers · 1 filter
Camera-aware Style Separation and Contrastive Learning for Unsupervised Person Re-identification
Xue Li, Tengfei Liang, Yi Jin +2
Unsupervised person re-identification (ReID) is a challenging task without data annotation to guide discriminative learning. Existing methods attempt to solve this problem by clust…
MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification
Yajun Gao, Tengfei Liang, Yi Jin +4
The RGB-infrared cross-modality person re-identification (ReID) task aims to recognize the images of the same identity between the visible modality and the infrared modality. Exist…
CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification
Tengfei Liang, Yi Jin, Yajun Gao +4
Visible-infrared cross-modality person re-identification is a challenging ReID task, which aims to retrieve and match the same identity's images between the heterogeneous visible a…
Joint Graph Learning and Matching for Semantic Feature Correspondence
He Liu, Tao Wang, Yidong Li +3
In recent years, powered by the learned discriminative representation via graph neural network (GNN) models, deep graph matching methods have made great progresses in the task of m…
GM-MLIC: Graph Matching based Multi-Label Image Classification
Yanan Wu, He Liu, Songhe Feng +3
Multi-Label Image Classification (MLIC) aims to predict a set of labels that present in an image. The key to deal with such problem is to mine the associations between image conten…
Attention Models for Point Clouds in Deep Learning: A Survey
Xu Wang, Yi Jin, Yigang Cen +2
Recently, the advancement of 3D point clouds in deep learning has attracted intensive research in different application domains such as computer vision and robotic tasks. However,…