activity
20172022
most citedDivide and Fuse: A Re-ranking Approach for Person Re-identification

21 citations · 23 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Cascade Transformers for End-to-End Person Search

Rui Yu, Dawei Du, Rodney LaLonde +4

The goal of person search is to localize a target person from a gallery set of scene images, which is extremely challenging due to large scale variations, pose/viewpoint changes, a…

cs.HC2022

Feasibility of Interactive 3D Map for Remote Sighted Assistance

Jingyi Xie, Rui Yu, Sooyeon Lee +3

Remote sighted assistance (RSA) has emerged as a conversational assistive technology, where remote sighted workers, i.e., agents, provide real-time assistance to users with vision…

cs.CV20211 cited

Towards Robust Human Trajectory Prediction in Raw Videos

Rui Yu, Zihan Zhou

Human trajectory prediction has received increased attention lately due to its importance in applications such as autonomous vehicles and indoor robots. However, most existing meth…

cs.RO20201 cited

Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks

Rui Yu, Zhenyuan Yuan, Minghui Zhu +1

Nowadays, the prevalence of sensor networks has enabled tracking of the states of dynamic objects for a wide spectrum of applications from autonomous driving to environmental monit…

cs.CV2018

Hard-Aware Point-to-Set Deep Metric for Person Re-identification

Rui Yu, Zhiyong Dou, Song Bai +3

Person re-identification (re-ID) is a highly challenging task due to large variations of pose, viewpoint, illumination, and occlusion. Deep metric learning provides a satisfactory…

cs.CV201721 cited

Divide and Fuse: A Re-ranking Approach for Person Re-identification

Rui Yu, Zhichao Zhou, Song Bai +1

As re-ranking is a necessary procedure to boost person re-identification (re-ID) performance on large-scale datasets, the diversity of feature becomes crucial to person reID for it…