Sheng-Ye Wang

According to our database, Sheng-Ye Wang authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Multi-Spatial Pyramid Feature and Optimizing Focal Loss Function for Object Detection.

Sheng-Ye Wang, Zhong Qu, Le-yuan Gao

IEEE Trans. Intell. Veh., January, 2024

End-to-End Object Detection by Sparse R-CNN With Hybrid Matching in Complex Traffic Scenes.

Xue-juan Han, Zhong Qu, Shi-Yan Wang, Shu-Fang Xia, Sheng-Ye Wang

IEEE Trans. Intell. Veh., January, 2024

2023

PerspectiveNet: An Object Detection Method With Adaptive Perspective Box Network Based on Density-Aware.

Cui-Jin Li, Zhong Qu, Sheng-Ye Wang

IEEE Trans. Intell. Transp. Syst., May, 2023

A Dense-Aware Cross-splitNet for Object Detection and Recognition.

Sheng-Ye Wang, Zhong Qu, Cui-Jin Li

IEEE Trans. Circuits Syst. Video Technol., May, 2023

Multiscale anchor box and optimized classification with faster R-CNN for object detection.

Sheng-Ye Wang, Zhong Qu

IET Image Process., April, 2023

BANet: Small and multi-object detection with a bidirectional attention network for traffic scenes.

Sheng-Ye Wang, Zhong Qu, Cui-Jin Li, Le-yuan Gao

Eng. Appl. Artif. Intell., 2023

A method of knowledge distillation based on feature fusion and attention mechanism for complex traffic scenes.

Cui-Jin Li, Zhong Qu, Sheng-Ye Wang

Eng. Appl. Artif. Intell., 2023

2022

An improved YOLOv5 method for large objects detection with multi-scale feature cross-layer fusion network.

Zhong Qu, Le-yuan Gao, Sheng-Ye Wang, Hao-nan Yin, Tu-Ming Yi

Image Vis. Comput., 2022

2021

A method of cross-layer fusion multi-object detection and recognition based on improved faster R-CNN model in complex traffic environment.

Cui-Jin Li, Zhong Qu, Sheng-Ye Wang, Ling Liu

Pattern Recognit. Lett., 2021

2019

Visual Cross-Image Fusion Using Deep Neural Networks for Image Edge Detection.

Zhong Qu, Sheng-Ye Wang, Ling Liu, Dong-Yang Zhou

IEEE Access, 2019