Area of research
Computer Vision and Pattern Recognition · Computational Mechanics
Research interest
Research interests include Computer science, Artificial intelligence, Computer vision, Radar, Clutter, and Segmentation.
Hand Gesture Recognition From Surface Electromyography Signals With Graph Convolutional Network and Attention Mechanisms
Sensing-based Robustness Challenges in Agricultural Robotic Harvesting
AMT-Net: Attention-based multi-task network for scene depth and semantics prediction in assistive navigation
Multi-Vision-Based Picking Point Localisation of Target Fruit for Harvesting Robots
CenFormer: Transformer-Based Network From Centroid Generation for Point Cloud Completion
Multi-camera multi-object tracking on the move via single-stage global association approach
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis
Bio-DETR: A Transformer-based Network for Pest and Seed Detection with Hyperspectral Images
UOW-Vessel: A Benchmark Dataset of High-Resolution Optical Satellite Images for Vessel Detection and Segmentation
VSAI: visible signature reduction with camouflage patterns via generative AI algorithm
MSSP: A Multi-view Benchmark for Street Scene Perception in Assistive Navigation
DAP: A dataset-agnostic predictor of neural network performance
TP-YOLO: A Lightweight Attention-Based Architecture for Tiny Pest Detection
AdaptorNAS: A New Perturbation-Based Neural Architecture Search for Hyperspectral Image Segmentation
MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection
Bilateral Coarse-to-Fine Network for Point Cloud Completion
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation
Pedestrian Lane Detection for Assistive Navigation of Vision-Impaired People: Survey and Experimental Evaluation
Bayesian Gabor Network With Uncertainty Estimation for Pedestrian Lane Detection in Assistive Navigation
An Improved Deep Learning Framework for MR-to-CT Image Synthesis with a New Hybrid Objective Function
An ensemble approach to deep‐learning‐based wireless indoor localization
Efficient hyperspectral image segmentation for biosecurity scanning using knowledge distillation from multi-head teacher
Background on positioning and localization for social distancing
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
Performance Analysis of Uplink NOMA Systems With Hardware Impairments and Delay Constraints Over Composite Fading Channels
Energy-Harvesting Aided Unmanned Aerial Vehicles for Reliable Ground User Localization and Communications Under Lognormal-Nakagami-$m$ Fading Channels
A Fast and Compact Deep Gabor Network for Micro-Doppler Signal Processing and Human Motion Classification
D-Net: A Generalised and Optimised Deep Network for Monocular Depth Estimation
Correcting Susceptibility Artifacts of MRI Sensors in Brain Scanning: A 3D Anatomy-Guided Deep Learning Approach