Area of research
Computer Vision and Pattern Recognition · Computer Networks and Communications
Research interest
Research interests include Computer science, Artificial intelligence, Remote sensing, Feature (linguistics), Anomaly detection, and Feature extraction.
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autononous Driving
Prototype-oriented hypergraph representation learning for anomaly detection in tabular data
Self-supervised enhanced denoising diffusion for anomaly detection
MCBAM-GAN: The Gan Spatiotemporal Fusion Model Based on Multiscale and CBAM for Remote Sensing Images
ST-YOLOX: a lightweight and accurate object detection network based on Swin Transformer
JAED-Net: joint attention encoder–decoder network for road extraction from remote sensing images
CLANET: a cross-linear attention network for semantic segmentation of urban scenes remote sensing images
Super-Resolution Reconstruction Model of Spatiotemporal Fusion Remote Sensing Image Based on Double Branch Texture Transformers and Feedback Mechanism
AMFFNet: attention-guided multi-level feature fusion network for land cover classification of remote sensing images
Research on super-resolution reconstruction of remote sensing images: a comprehensive review