346 citations · 855 across the 9 of their papers we have counts for
12 papers
A Novel Teacher-Student Learning Framework For Occluded Person Re-Identification
Jiaxuan Zhuo, Jianhuang Lai, Peijia Chen
Person re-identification (re-id) has made great progress in recent years, but occlusion is still a challenging problem which significantly degenerates the identification performanc…
Depth Growing for Neural Machine Translation
Lijun Wu, Yiren Wang, Yingce Xia +5
While very deep neural networks have shown effectiveness for computer vision and text classification applications, how to increase the network depth of neural machine translation (…
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection
Pei-Zhen Li, Ling Huang, Chang-Dong Wang +1
Network community detection is a hot research topic in network analysis. Although many methods have been proposed for community detection, most of them only take into consideration…
Robust Depth-based Person Re-identification
Ancong Wu, Wei-Shi Zheng, Jianhuang Lai
Person re-identification (re-id) aims to match people across non-overlapping camera views. So far the RGB-based appearance is widely used in most existing works. However, when peop…
Person Re-Identification by Camera Correlation Aware Feature Augmentation
Ying-Cong Chen, Xiatian Zhu, Wei-Shi Zheng +1
The challenge of person re-identification (re-id) is to match individual images of the same person captured by different non-overlapping camera views against significant and unknow…
Robust Ensemble Clustering Using Probability Trajectories
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
Although many successful ensemble clustering approaches have been developed in recent years, there are still two limitations to most of the existing approaches. First, they mostly…