2 citations · 4 across the 4 of their papers we have counts for
5 papers · 1 filter
Detection of Fights in Videos: A Comparison Study of Anomaly Detection and Action Recognition
Weijun Tan, Jingfeng Liu
Detection of fights is an important surveillance application in videos. Most existing methods use supervised binary action recognition. Since frame-level annotations are very hard…
Balanced Masked and Standard Face Recognition
Delong Qi, Kangli Hu, Weijun Tan +2
We present the improved network architecture, data augmentation, and training strategies for the Webface track and Insightface/Glint360K track of the masked face recognition challe…
EQFace: A Simple Explicit Quality Network for Face Recognition
Rushuai Liu, Weijun Tan
As the deep learning makes big progresses in still-image face recognition, unconstrained video face recognition is still a challenging task due to low quality face images caused by…
A Fast Partial Video Copy Detection Using KNN and Global Feature Database
Weijun Tan, Hongwei Guo, Rushuai Liu
We propose a fast partial video copy detection framework in this paper. In this framework all frame features of the reference videos are organized in a KNN searchable database. Ins…
A Dataset and System for Real-Time Gun Detection in Surveillance Video Using Deep Learning
Delong Qi, Weijun Tan, Zhifu Liu +2
Gun violence is a severe problem in the world, particularly in the United States. Deep learning methods have been studied to detect guns in surveillance video cameras or smart IP c…