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20172023
most citedDivide and Fuse: A Re-ranking Approach for Person Re-identification

21 citations · 23 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023

NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation

Rui Yu, Jiachen Liu, Zihan Zhou +1

In various applications, such as robotic navigation and remote visual assistance, expanding the field of view (FOV) of the camera proves beneficial for enhancing environmental perc…

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.CV2021★ 1 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.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.CV2017

Deep-Person: Learning Discriminative Deep Features for Person Re-Identification

Xiang Bai, Mingkun Yang, Tengteng Huang +3

Recently, many methods of person re-identification (Re-ID) rely on part-based feature representation to learn a discriminative pedestrian descriptor. However, the spatial context b…

cs.CV2017★ 21 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…