1 citations · 1 across the 4 of their papers we have counts for
4 papers
TCFormer: A 5M-Parameter Transformer with Density-Guided Aggregation for Weakly-Supervised Crowd Counting
Qiang Guo, Rubo Zhang, Bingbing Zhang +2
Crowd counting typically relies on labor-intensive point-level annotations and computationally intensive backbones, restricting its scalability and deployment in resource-constrain…
A Full-Stage Refined Proposal Algorithm for Suppressing False Positives in Two-Stage CNN-Based Detection Methods
Qiang Guo, Rubo Zhang, Bingbing Zhang +2
False positives in pedestrian detection remain a challenge that has yet to be effectively resolved. To address this issue, this paper proposes a Full-stage Refined Proposal (FRP) a…
A PST Algorithm for FPs Suppression in Two-stage CNN Detection Methods
Qiang Guo
Pedestrian detection has been a hot spot in computer vision over the past decades due to the wide spectrum of promising applications, the major challenge of which is False Positive…
MCNet: A crowd denstity estimation network based on integrating multiscale attention module
Qiang Guo, Rubo Zhang, Di Zhao
Aiming at the metro video surveillance system has not been able to effectively solve the metro crowd density estimation problem, a Metro Crowd density estimation Network (called MC…