Area of research
Computer Vision and Pattern Recognition · Electrical and Electronic Engineering
Research interest
Research interests include Computer science, Artificial intelligence, Radar, Object detection, Field-programmable gate array, and Heartbeat.
Exploiting Multi-View Part-Wise Correlation via an Efficient Transformer for Vehicle Re-Identification
Real-Time LiDAR Point Cloud Semantic Segmentation for Autonomous Driving
Real-Time Object Tracking Based on Optical Flow
Respiration and Heartbeat Rates Measurement Based on Autocorrelation Using IR-UWB Radar
Genetic Algorithm Based QoS Perception Routing Protocol for VANETs
Model-Based Design for Software Defined Radio on an FPGA
Non-stationary speckle reduction in high resolution SAR images
Road marking detection and classification using machine learning algorithms
Real-time non-contact infant respiratory monitoring using UWB radar
Automatic detection of traffic lights using support vector machine