activity
20062019
most citedAttention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification

8 citations · 15 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2019★ 8 cited

Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification

Di Wu, Chao Wang, Yong Wu +1

In recent years, person re-identification (PReID) has become a hot topic in computer vision duo to it is an important part in intelligent surveillance. Many state-of-the-art PReID…

cs.CV2018★ 2 cited

Omni-directional Feature Learning for Person Re-identification

Di Wu, Hong-Wei Yang, De-Shuang Huang

Person re-identification (PReID) has received increasing attention due to it is an important part in intelligent surveillance. Recently, many state-of-the-art methods on PReID are…

cs.CV2018★ 1 cited

Random Occlusion-recovery for Person Re-identification

Di Wu, Kun Zhang, Fei Cheng +4

As a basic task of multi-camera surveillance system, person re-identification aims to re-identify a query pedestrian observed from non-overlapping multiple cameras or across differ…

cs.CV2014

Robust and Efficient Subspace Segmentation via Least Squares Regression

Can-Yi Lu, Hai Min, Zhong-Qiu Zhao +3

This paper studies the subspace segmentation problem which aims to segment data drawn from a union of multiple linear subspaces. Recent works by using sparse representation, low ra…

q-bio.BM2006

Locating the Long-range Contact Centers with B-factors and Hydrophobic Cores

Peng Chen, Bing Wang, Hau-San Wong +1

TThe paper had many errors.

cs.NI2006

A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation

Kun-hong Liu, Yong Xu, De-Shuang Huang

Traffic grooming is widely employed to reduce the number of ADM's and wavelengths. We consider the problem of grooming of dynamic traffic in WDM tree and star networks in this pape…