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20212023
most citedYOLO5Face: Why Reinventing a Face Detector

39 citations · 52 across the 11 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021

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…

eess.IV2021★ 1 cited

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…

eess.IV2021★ 2 cited

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…

cs.CV2021★ 2 cited

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…

cs.CV2021★ 39 cited

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…

cs.CV2021★ 1 cited

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…

cs.CV2021★ 3 cited

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…