39 citations · 52 across the 11 of their papers we have counts for
11 papers
Weakly Supervised Detection of Baby Cry
Weijun Tan, Qi Yao, Jingfeng Liu
Detection of baby cries is an important part of baby monitoring and health care. Almost all existing methods use supervised SVM, CNN, or their varieties. In this work, we propose t…
Overlooked Video Classification in Weakly Supervised Video Anomaly Detection
Weijun Tan, Qi Yao, Jingfeng Liu
Current weakly supervised video anomaly detection algorithms mostly use multiple instance learning (MIL) or their varieties. Almost all recent approaches focus on how to select the…
Two-Stage COVID19 Classification Using BERT Features
Weijun Tan, Qi Yao, Jingfeng Liu
We propose an automatic COVID1-19 diagnosis framework from lung CT-scan slice images using double BERT feature extraction. In the first BERT feature extraction, A 3D-CNN is first u…
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…
Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset
Weijun Tan, Hongwei Guo
We present an automatic COVID1-19 diagnosis framework from lung CT images. The focus is on signal processing and classification on small datasets with efforts putting into explorin…
A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images
Weijun Tan, Jingfeng Liu
We present an automatic COVID1-19 diagnosis framework from lung CT-scan slice images. In this framework, the slice images of a CT-scan volume are first proprocessed using segmentat…
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…
YOLO5Face: Why Reinventing a Face Detector
Delong Qi, Weijun Tan, Qi Yao +1
Tremendous progress has been made on face detection in recent years using convolutional neural networks. While many face detectors use designs designated for detecting faces, we tr…
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…