Yonghuai Liu

Professor

Edge Hill University

United Kingdom

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Professor Yonghuai Liu is a faculty member at Edge Hill University in the United Kingdom. His research encompasses advanced topics in computer vision and machine learning, with recent articles focusing on facial expression recognition, 3D segmentation of wheat cultivars, and retinal imaging techniques. He is particularly interested in enhancing trustworthiness in medical video segmentation and improving incremental learning methods in imaging applications.

Yonghuai Liu

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Articles (29)

MHAN: Multi-head hybrid attention network for facial expression recognition

Wheat3D PartNet: Annotated Dataset for 3D Wheat Part Segmentation

Super-Resolution Reconstruction of OCTA Via Multi-Field-of-View Representation Learning

Enhancing Trustworthiness of Semantic Segmentation in Cataract Surgery Videos via Intra-Phase Label Propagation

Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition

Handling Intra-Class Imbalance in Part-segmentation of Different Wheat cultivars

3D Microvascular Reconstruction in Retinal OCT Angiography Images via Domain-Adaptive Learning

Beyond the Eye: A Relational Model for Early Dementia Detection Using Retinal OCTA Images

Progressive Distillation for Incremental Learning in Corneal Confocal Microscopy Segmentation

Progressive Distillation for Incremental Learning in Corneal Confocal Microscopy Segmentation

Exploiting Label Uncertainty for Enhanced 3D Object Detection from Point Clouds

Exploiting Label Uncertainty for Enhanced 3D Object Detection From Point Clouds

Clustering-inspired Channel Selection Method for Weakly Supervised Object Localization

HRNet: 3D Object Detection Network for Point Cloud with Hierarchical Refinement

COSTA: A Multi-center TOF-MRA Dataset and A Style Self-Consistency Network for Cerebrovascular Segmentation

Learning Common Semantics via Optimal Transport for Contrastive Multi-View Clustering

Regional Attention Network (RAN) for Head Pose and Fine-Grained Gesture Recognition

3D Visual Saliency: An Independent Perceptual Measure or A Derivative of 2D Image Saliency?

SLAV-Sim: A Framework for Self-Learning Autonomous Vehicle Simulation

Refined feature fusion for in-field high-density and multi-scale rice panicle counting in UAV images

StruNet: Perceptual and low‐rank regularized transformer for medical image denoising

Retinal Structure Detection in OCTA Image via Voting-Based Multitask Learning

SR-GNN: Spatial Relation-Aware Graph Neural Network for Fine-Grained Image Categorization

DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity

Attend and Guide (AG-Net): A Keypoints-Driven Attention-Based Deep Network for Image Recognition

FFD: Fast Feature Detector

Structure and Illumination Constrained GAN for Medical Image Enhancement

Mesh Saliency via Weakly Supervised Classification-for-Saliency CNN

Automatic Extraction of Material Defect Size by Infrared Image Sequence

Collaborators (9)

Paul Rosin

Nik Bessis

Huaizhong Zhang

Bernard Tiddeman

Ardhendu Behera

Quanbin Sun

Huaizhong Zhang

Yalin Zheng

Peter Yuen

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