activity
20182026
most citedWIDER Face and Pedestrian Challenge 2018: Methods and Results

28 citations · 48 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2026

Deep Learning based Cross-Receiver Radio Frequency Fingerprint Identification Under Varying Channels

Jiashuo He, Yumeng Wang, Feiyang He +4

Radio frequency fingerprint identification (RFFI) exploits device-specific hardware impairments for transmitter recognition, but its performance is highly vulnerable to receiver va…

cs.CV2021

Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling

Yiheng Liu, Wengang Zhou, Qiaokang Xie +1

Existing unsupervised person re-identification methods only rely on visual clues to match pedestrians under different cameras. Since visual data is essentially susceptible to occlu…

cs.CV2020

Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation

Yiheng Liu, Wengang Zhou, Mao Xi +2

Existing person re-identification methods rely on the visual sensor to capture the pedestrians. The image or video data from visual sensor inevitably suffers the occlusion and dram…

cs.CV2019★ 3 cited

An End-to-End Foreground-Aware Network for Person Re-Identification

Yiheng Liu, Wengang Zhou, Jianzhuang Liu +3

Person re-identification is a crucial task of identifying pedestrians of interest across multiple surveillance camera views. In person re-identification, a pedestrian is usually re…

cs.CV2019★ 28 cited

WIDER Face and Pedestrian Challenge 2018: Methods and Results

Chen Change Loy, Dahua Lin, Wanli Ouyang +49

This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian. The challenge focuses on the problem of precise localization of human faces and bodies, and accurat…

cs.CV2018★ 17 cited

Spatial and Temporal Mutual Promotion for Video-based Person Re-identification

Yiheng Liu, Zhenxun Yuan, Wengang Zhou +1

Video-based person re-identification is a crucial task of matching video sequences of a person across multiple camera views. Generally, features directly extracted from a single fr…