Zhu-Ye Xu

GDRF-DETR: real-time transmission line defect detection based on 4D anchor dynamic update and multi-scale feature refinement

A Study on Urban Traffic Speed Prediction Using Spatiotemporal Attention-Based Convolutional Neural Networks

Urban traffic speed prediction requires effective modeling of road-network spatial dependencies and temporal dynamics. This study develops an attention-based spatiotemporal graph convolutional framework (AT-GCN-GRU) for multi-horizon traffic speed prediction. The model combines graph convolution for spatial feature ext...

A Review of Deep Learning Object Detection Algorithms

Object detection and multi-object tracking are core foundational tasks in computer vision, serving as crucial supporting technologies for high-end applications such as autonomous driving, intelligent security, industrial inspection, and robot navigation. This paper systematically reviews the complete evolution of objec...