RFAConv: Innovating Spatial Attention and Standard Convolutional Operation. - Xin Zhang 131; Chen Liu; Degang Yang; Tingting Song; Yichen Ye; Ke Li; Yingze Song (CoRR, 2023)

AKConv: Convolutional Kernel with Arbitrary Sampled Shapes and Arbitrary Number of Parameters. - Xin Zhang 131; Yingze Song; Tingting Song; Degang Yang; Yichen Ye; Jie Zhou; Liming Zhang (CoRR, 2023)

Lightweight detection network based on receptive-field feature enhancement convolution and three dimensions attention for images captured by UAVs. - Tingting Song; Xin Zhang 131; Degang Yang; Yichen Ye; Chen Liu; Jie Zhou; Yingze Song (Image Vis. Comput., 2023)

LDConv: Linear deformable convolution for improving convolutional neural networks. - Xin Zhang 131; Yingze Song; Tingting Song; Degang Yang; Yichen Ye; Jie Zhou; Liming Zhang (Image Vis. Comput., 2024)

Improved YOLOv7 models based on modulated deformable convolution and swin transformer for object detection in fisheye images. - Jie Zhou; Degang Yang; Tingting Song; Yichen Ye; Xin Zhang 131; Yingze Song (Image Vis. Comput., 2024)

YOLO-SSP: an object detection model based on pyramid spatial attention and improved downsampling strategy for remote sensing images. - Yongli Liu; Degang Yang; Tingting Song; Yichen Ye; Xin Zhang 131 (Vis. Comput., 2025)