Area of research
Computer Vision and Pattern Recognition · Electrochemistry
Research interest
Research interests include Artificial intelligence, Computer science, Hyperspectral imaging, Pattern recognition (psychology), and Autoencoder.
DBGANet: Dual-Branch Geometric Attention Network for Accurate 3D Tooth Segmentation
CGA-UNet: Category-Guide Attention U-Net for Dental Abnormality Detection and Segmentation From Dental-Maxillofacial Images
Correlation-Aware Attention CycleGAN for Accurate Fetal ECG Extraction
Accelerating Robust-Object-Tracking via Level-3 BLAS-Based Sparse Learning
An Adaptive Image Segmentation Network for Surface Defect Detection
Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images
A Semisupervised Siamese Network for Hyperspectral Image Classification
AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images