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Computer Science

D-Index
38
Citations
6124
World Ranking
10239
National Ranking
313

Overview

Philip Ogunbona is affiliated with the University of Wollongong in Australia. Their research spans multiple disciplines, including computer science, medicine, and engineering, with a strong focus on artificial intelligence and biomedical engineering.

Their work concentrates on various subfields such as artificial intelligence, biomedical engineering, radiology, nuclear medicine and imaging, computer vision and pattern recognition, and ophthalmology. Main research topics include gait recognition and analysis, human pose and action recognition, anomaly detection techniques and applications, domain adaptation and few-shot learning, EEG and brain-computer interfaces, epilepsy research and treatment, and optical imaging and spectroscopy techniques.

Philip Ogunbona has contributed to multiple publications, including these recent papers:

  • Supervised domain generalization for integration of disparate scalp EEG datasets for automatic epileptic seizure detection, 2020, Computers in Biology and Medicine
  • Fluorescence Molecular Tomography Reconstruction of Small Targets Using Stacked Auto-Encoder Neural Networks, 2020, IEEE Access
  • Addressing ICT curriculum recommendations from surveys of academics, workplace graduates and employers, 2024, Swinburne Research Bank (Swinburne University of Technology)
  • An attention-based CNN for automatic whole-body postural assessment, 2023, Expert Systems with Applications
  • Shape-based filter for micro-aneurysm detection, 2020, Computers & Electrical Engineering

Their frequent coauthors include Wanqing Li, Jie Yang, Kayode P. Ayodele, Morenikeji Komolafe, and Shanaka Ramesh Gunasekara.

Philip Ogunbona has published in venues such as arXiv (Cornell University), Computers in Biology and Medicine, IEEE Access, Expert Systems with Applications, and IEEE Transactions on Circuits and Systems for Video Technology.

Best Publications

  • Joint Geometrical and Statistical Alignment for Visual Domain Adaptation

    Jing Zhang;Wanqing Li;Philip Ogunbona

  • Importance Weighted Adversarial Nets for Partial Domain Adaptation

    Jing Zhang;Zewei Ding;Wanqing Li;Philip Ogunbona

  • RGB-D-based human motion recognition with deep learning: A survey

    Pichao Wang;Wanqing Li;Philip O Ogunbona;Jun Wan

  • Action Recognition From Depth Maps Using Deep Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Jing Zhang

  • RGB-D-based action recognition datasets

    Jing Zhang;Wanqing Li;Philip O. Ogunbona;Pichao Wang

  • Human detection from images and videos

    Duc Thanh Nguyen;Wanqing Li;Philip O. Ogunbona

  • Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang

  • Signal analysis using a multiresolution form of the singular value decomposition

    R. Kakarala;P.O. Ogunbona

  • Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis.

    Minh Hieu Phan;Philip O. Ogunbona

  • Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Yuyao Zhang

  • ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring

    Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang

  • Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition

    Pichao Wang;Wanqing Li;Jun Wan;Philip Ogunbona

  • Large-scale Isolated Gesture Recognition using Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Song Liu;Zhimin Gao

  • An efficient iterative algorithm for image thresholding

    Liju Dong;Ge Yu;Philip Ogunbona;Wanqing Li

  • Discriminative Key Pose Extraction Using Extended LC-KSVD for Action Recognition

    Lijuan Zhou;Wanqing Li;Yuyao Zhang;Philip Ogunbona

  • On multiple watermarking

    Nicholas Paul Sheppard;Reihaneh Safavi-Naini;Philip Ogunbona

  • Object detection using Non-Redundant Local Binary Patterns

    Duc Thanh Nguyen;Zhimin Zong;Philip Ogunbona;Wanqing Li

  • Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective

    Jing Zhang;Wanqing Li;Philip Ogunbona;Dong Xu

  • Investigation of different skeleton features for CNN-based 3D action recognition

    Zewei Ding;Pichao Wang;Philip O. Ogunbona;Wanqing Li

  • Detection and Separation of Smoke From Single Image Frames

    Hongda Tian;Wanqing Li;Philip O. Ogunbona;Lei Wang

  • Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks

    Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang

Frequent Co-Authors

Wanqing Li
Wanqing Li University of Wollongong
Chang Tang
Chang Tang China University of Geosciences
Reihaneh Safavi-Naini
Reihaneh Safavi-Naini University of Calgary
Jiangtao Xi
Jiangtao Xi University of Wollongong
Lingqiao Liu
Lingqiao Liu University of Adelaide
Dinggang Shen
Dinggang Shen ShanghaiTech University
Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Sergio Escalera
Sergio Escalera University of Barcelona
Huimin Lu
Huimin Lu Kyushu Institute of Technology
Gordon G. Wallace
Gordon G. Wallace University of Wollongong

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