no code implementations • 19 Apr 2023 • Weijun Tan, Qi Yao, Jingfeng Liu
In this work, we propose to use weakly supervised anomaly detection to detect a baby cry.
Supervised Anomaly Detection Weakly-supervised Anomaly Detection
1 code implementation • 13 Oct 2022 • Weijun Tan, Qi Yao, Jingfeng Liu
In this paper, we study explicitly the power of video classification supervision using a BERT or LSTM.
no code implementations • 29 Jun 2022 • Weijun Tan, Qi Yao, Jingfeng Liu
This 3D-CNN-BERT classification network is first trained on sampled fixed number of slice images from every original CT scan volume.
no code implementations • 23 May 2022 • Weijun Tan, Jingfeng Liu
This paper explores the detection of fights in videos as one special type of anomaly detection and as binary action recognition.
no code implementations • 4 Oct 2021 • Delong Qi, Kangli Hu, Weijun Tan, Qi Yao, Jingfeng Liu
One of the key goals is to have a balanced performance of masked and standard face recognition.
no code implementations • 16 Aug 2021 • Weijun Tan, Hongwei Guo
To further improve the classification accuracy, an ensemble of multiple CNN models and HU windows is used.
1 code implementation • 28 Jun 2021 • Weijun Tan, Jingfeng Liu
A 3D CNN network with BERT is used to classify this set of selected slice images.
3 code implementations • 27 May 2021 • Delong Qi, Weijun Tan, Qi Yao, Jingfeng Liu
We make a few key modifications to the YOLOv5 and optimize it for face detection.
Ranked #4 on Face Detection on WIDER Face (Easy)
no code implementations • 4 May 2021 • Weijun Tan, Hongwei Guo, Rushuai Liu
We propose a fast partial video copy detection framework in this paper.
no code implementations • 3 May 2021 • Delong Qi, Weijun Tan, Zhifu Liu, Qi Yao, Jingfeng Liu
We present a gun detection system using a smart IP camera as an embedded edge device, and a cloud server as a manager for device, data, alert, and to further reduce the false positive rate.
1 code implementation • 3 May 2021 • Rushuai Liu, Weijun Tan
This network is very simple by adding a quality network branch to the baseline network of face recognition.