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)

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)

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)

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)

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)

Multiscale anchor box and optimized classification with faster R-CNN for object detection. - Sheng-Ye Wang; Zhong Qu (IET Image Process., 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., 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., 2023)

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., 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., 2024)

GHAFNet: Global-context hierarchical attention fusion method for traffic object detection. - Cui-Jin Li; Zhong Qu; Sheng-Ye Wang (Multim. Tools Appl., 2024)