Hongying Meng

Reader

Brunel University London

United Kingdom

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Hongying Meng is a Reader at Brunel University London, UK. Her research areas include medical image registration, deep learning methodologies, and computer vision applications, as reflected in her recent publications. Her work also encompasses advancements in 3D imaging systems, traffic analysis using deep networks, and health metrics in clinical settings.

Articles (20)

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2026

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2022

Collaborators (7)

Mohammad Rafiq Swash

Brunel University London

UNITED KINGDOM

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Ioannis Intzes

Lecturer

Diethnes Panepistemio tes Ellados Schole Epistemes kai Technologias

GREECE

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Okan Yurduseven

The Queen's University Belfast

UNITED KINGDOM

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Amir Masoud Molaei

The Queen's University Belfast

UNITED KINGDOM

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Shaoqing Hu

Lecturer

Brunel University London

UNITED KINGDOM

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Xiaodong Chen Chen

Professor

Queen Mary University of London

UNITED KINGDOM

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Lu Gan

Reader in Signal and Image Processing

Brunel University London

UNITED KINGDOM

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Hongying Meng

Research Interests

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About

Articles (20)

Multi-scale Lipschitz Neural Fields Incorporating Frequency Decoupling for medical image registration

Robust deep dictionary learning via self-expression neighbor atom enhancement

Holoscopic 3D Imaging Systems: A Review of History, Recent Advances and Future Directions

Real-Time Object Detection and Distance Measurement Enhanced with Semantic 3D Depth Sensing Using Camera–LiDAR Fusion

A Keypoint‐Guided Feature Partition Network for Occluded Person Re‐Identification

Lightweight Facial Attractiveness Prediction Using Dual Label Distribution

A Cryptocurrency Price Forecasting Model by Integrating Empirical Mode Decomposition and LSTM Neural Networks

A Comparative Study of YOLO Series (v3–v10) with DeepSORT and StrongSORT: A Real-Time Tracking Performance Study

A Lightweight Object Counting Network Based on Density Map Knowledge Distillation

Central venous pressure as a method of optimising atrio-ventricular delay after cardiac surgery

Multistatic MIMO Sparse Imaging Based on FFT and Low-Rank Matrix Recovery Techniques

Implementation of Deep Learning Models on an SoC-FPGA Device for Real-Time Music Genre Classification

SALSA-Net: Explainable Deep Unrolling Networks for Compressed Sensing

Bi-path Combination YOLO for Real-time Few-shot Object Detection

SSRL: Self-supervised Spatial-temporal Representation Learning for 3D Action recognition

StrongSORT: Make DeepSORT Great Again

HMANet: Hyperbolic Manifold Aware Network for Skeleton-Based Action Recognition

Extended variational inference for Dirichlet process mixture of Beta‐Liouville distributions for proportional data modeling

Multi-region Nonuniform Brightness Correction Algorithm Based on L-Channel Gamma Transform

Research on Printing Defects Inspection of Solder Paste Images

Collaborators (7)

Mohammad Rafiq Swash

Ioannis Intzes

Okan Yurduseven

Amir Masoud Molaei

Shaoqing Hu

Xiaodong Chen Chen

Lu Gan

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