Dengquan Wu

According to our database, Dengquan Wu authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

GhostFormer: Efficiently amalgamated CNN-transformer architecture for object detection.

Xin Xie, Dengquan Wu, Mingye Xie, Zixi Li

Pattern Recognit., April, 2024

2023

A weakly supervised anomaly detection method based on deep anomaly scoring network.

Xin Xie, Zixi Li, Yuhui Huang, Dengquan Wu

Signal Image Video Process., November, 2023

GridFormer: Grid Foreign Object Detection also Requires Transformer.

Dengquan Wu, Hanxin Zheng, Zixi Li, Xin Xie, Tijian Cai, Fengyang Shang

Proceedings of the Artificial Intelligence Security and Privacy, 2023

An Anomaly Detection and Localization Method Based on Feature Fusion and Attention.

Zixi Li, Xin Xie, Dengquan Wu, Shenping Xiong, Tijian Cai

Proceedings of the Artificial Intelligence Security and Privacy, 2023

2022

RDAD: A reconstructive and discriminative anomaly detection model based on transformer.

Xin Xie, Yuhui Huang, Weiye Ning, Dengquan Wu, Zixi Li, Hao Yang

Int. J. Intell. Syst., 2022

An Unsupervised Surface Anomaly Detection Method Based on Attention and ASPP.

Yuhui Huang, Xin Xie, Weiye Ning, Dengquan Wu, Zixi Li, Hao Yang

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022