Personal information

Computer Vision, Image Processing, Machine Learning, Deep Learning

Activities

Employment (4)

De Montfort University: Leicester, Leicestershire, GB

2021-06 to present | Lecturer (Assistant Professor) in Artificial Intelligence
Employment
Source: Self-asserted source
Nathanael L Baisa

Lancaster University: Lancaster, GB

2020-10 to 2021-05 | Senior Research Associatte
Employment
Source: Self-asserted source
Nathanael L Baisa

Oosto Ltd (formerly AnyVision Ltd): Belfast, GB

2019-02 to 2020-08 | Research Scientist
Employment
Source: Self-asserted source
Nathanael L Baisa

University of Lincoln: Lincoln, GB

2017-10 to 2018-12 | Research Fellow
Employment
Source: Self-asserted source
Nathanael L Baisa

Education and qualifications (2)

Heriot-Watt University: Edinburgh, GB

PhD in Electrical Engineering, with focus on Computer Vision and Machine Learning
Education
Source: Self-asserted source
Nathanael L Baisa

Heriot-Watt University: Edinburgh, GB

MSc in Computer Vision and Robotics - a joint Erasmus Mundus degree from Heriot-Watt University, Girona University and Burgundy University
Education
Source: Self-asserted source
Nathanael L Baisa

Works (22)

FusionSORT: Fusion Methods for Online Multi-object Visual Tracking

2025-01 | Preprint
Contributors: Nathanael L Baisa
Source: Self-asserted source
Nathanael L Baisa

A Novel Fuzzy Logic Framework for Model Reliability Evaluation in Permeability Prediction using GPR

16th International Conference on Computational Intelligence and Communication Networks
2024 | Conference paper
Contributors: Ahmad Lawal; Yingjie Yang; Nathanael L. Baisa; Hongmei He
Source: Self-asserted source
Nathanael L Baisa

Image Enhancement Preprocessing for Improving Visual Localization and Mapping

Lecture Notes in Networks and Systems
2024 | Conference paper
Part of ISBN: 9783031671913
Part of ISBN: 9783031671920
Part of ISSN: 2367-3370
Part of ISSN: 2367-3389
Contributors: Piran Fletcher; Aboozar Taherkhani; Nathanael L. Baisa
Source: Self-asserted source
Nathanael L Baisa

Machine Learning in Oil and Gas Exploration: A Review

IEEE Access
2024 | Journal article
Part of ISSN: 2169-3536
Contributors: Ahmad Lawal; Yingjie Yang; Hongmei He; Nathanael L. Baisa
Source: Self-asserted source
Nathanael L Baisa

Uncertainty-Aware Reservoir Permeability Prediction using Gaussian Processes Regression and NMR Measurements

8th International Conference on Advances in Artificial Intelligence
2024 | Conference paper
Contributors: Ahmad Lawal; Yingjie Yang; Nathanael L. Baisa; Hongmei He
Source: Self-asserted source
Nathanael L Baisa

Local-aware global attention network for person re-identification based on body and hand images

Journal of Visual Communication and Image Representation
2024-08 | Journal article
Contributors: Nathanael L. Baisa
Source: check_circle
Crossref

A Novel Framework for Reservoir Permeability Prediction Using GPR with Grey Relational Grades and Uncertainty Quantification

2024 7th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)
2024-08-15 | Conference paper
Contributors: Ahmad Lawal; Yingjie Yang; Nathanael L. Baisa; Hongmei He
Source: Self-asserted source
Nathanael L Baisa

Joint Person Identity, Gender and Age Estimation from Hand Images Using Deep Multi-Task Representation Learning

2024 12th International Workshop on Biometrics and Forensics (IWBF)
2024-04-11 | Conference paper
Contributors: Nathanael L. Baisa
Source: Self-asserted source
Nathanael L Baisa

Mushrooms Detection, Localization and 3D Pose Estimation using RGB-D Sensor for Robotic-picking Applications

2022 | Preprint
Contributors: Nathanael L. Baisa, Bashir Al-Diri
Source: Self-asserted source
Nathanael L Baisa

Multi-Branch with Attention Network for Hand-Based Person Recognition

2022 26th International Conference on Pattern Recognition (ICPR)
2022-08-21 | Conference paper
Contributors: Nathanael L. Baisa; Bryan Williams; Hossein Rahmani; Plamen Angelov; Sue Black
Source: Self-asserted source
Nathanael L Baisa

Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning

2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA)
2022-04-19 | Conference paper
Contributors: Nathanael L. Baisa; Bryan Williams; Hossein Rahmani; Plamen Angelov; Sue Black
Source: Self-asserted source
Nathanael L Baisa

Occlusion-robust online multi-object visual tracking using a GM-PHD filter with CNN-based re-identification

Journal of Visual Communication and Image Representation
2021-10 | Journal article
Contributors: Nathanael L. Baisa
Source: check_circle
Crossref

Robust online multi-target visual tracking using a HISP filter with discriminative deep appearance learning

Journal of Visual Communication and Image Representation
2021-05 | Journal article
Part of ISSN: 1047-3203
Contributors: Nathanael L. Baisa
Source: Self-asserted source
Nathanael L Baisa

Derivation of a Constant Velocity Motion Model for Visual Tracking

2020 | Preprint
Contributors: Nathanael L Baisa
Source: Self-asserted source
Nathanael L Baisa

Online Multi-object Visual Tracking using a GM-PHD Filter with Deep Appearance Learning

2019 22th International Conference on Information Fusion (FUSION)
2019-07 | Conference paper
Contributors: Nathanael L. Baisa
Source: Self-asserted source
Nathanael L Baisa

Multiple target, multiple type filtering in the RFS framework

Digital Signal Processing
2019-06 | Journal article
Part of ISSN: 1051-2004
Contributors: Nathanael L. Baisa; Andrew Wallace
Source: Self-asserted source
Nathanael L Baisa

Development of a N-type GM-PHD filter for multiple target, multiple type visual tracking

Journal of Visual Communication and Image Representation
2019-02 | Journal article
Part of ISSN: 1047-3203
Contributors: Nathanael L. Baisa; Andrew Wallace
Source: Self-asserted source
Nathanael L Baisa

Online Multi-target Visual Tracking using a HISP Filter

Computer Vision Theory and Applications (VISAPP)
2018 | Conference paper
Contributors: Nathanael L Baisa
Source: Self-asserted source
Nathanael L Baisa

Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments

Journal of Visual Communication and Image Representation
2018-08 | Journal article
Part of ISSN: 1047-3203
Contributors: Nathanael L. Baisa; Deepayan Bhowmik; Andrew Wallace
Source: Self-asserted source
Nathanael L Baisa

Long-term correlation tracking using multi-layer hybrid features in dense environments

Computer Vision Theory and Applications (VISAPP)
2017 | Conference paper
Contributors: Nathanael L. Baisa; Deepayan Bhowmik; Andrew Wallace
Source: Self-asserted source
Nathanael L Baisa

MRI-PET Registration with Automated Algorithm in Pre-clinical Studies

2017 | Preprint
Contributors: Nathanael L. Baisa, Stéphanie Bricq, Alain Lalande
Source: Self-asserted source
Nathanael L Baisa

Multiple Target, Multiple Type Visual Tracking using a Tri-GM-PHD Filter

Computer Vision Theory and Applications (VISAPP)
2017 | Conference paper
Contributors: Nathanael L. Baisa; Andrew Wallace
Source: Self-asserted source
Nathanael L Baisa