Nathanael L. Baisa

According to our database, Nathanael L. Baisa authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Machine Learning in Oil and Gas Exploration: A Review.

Ahmad Lawal, Yingjie Yang, Hongmei He, Nathanael L. Baisa

IEEE Access, 2024

2023

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

Nathanael L. Baisa

CoRR, 2023

2022

Local-Aware Global Attention Network for Person Re-Identification.

Nathanael L. Baisa

CoRR, 2022

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

Nathanael L. Baisa, Bashir Al-Diri

CoRR, 2022

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

Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black

Proceedings of the Eleventh International Conference on Image Processing Theory, 2022

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

Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen P. Angelov, Sue Black

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

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

Nathanael L. Baisa

J. Vis. Commun. Image Represent., 2021

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

Nathanael L. Baisa

J. Vis. Commun. Image Represent., 2021

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

Nathanael L. Baisa, Zheheng Jiang, Ritesh Vyas, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black

CoRR, 2021

2020

Derivation of a Constant Velocity Motion Model for Visual Tracking.

Nathanael L. Baisa

CoRR, 2020

2019

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

Nathanael L. Baisa, Andrew M. Wallace

J. Vis. Commun. Image Represent., 2019

Multiple target, multiple type filtering in the RFS framework.

Nathanael L. Baisa, Andrew M. Wallace

Digit. Signal Process., 2019

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

Nathanael L. Baisa

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

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

Nathanael L. Baisa, Deepayan Bhowmik, Andrew M. Wallace

J. Vis. Commun. Image Represent., 2018

Online Multi-target Visual Tracking using a HISP Filter.

Nathanael L. Baisa

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

2017

Single to multiple target, multiple type visual tracking.

Nathanael L. Baisa

PhD thesis, 2017

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

Nathanael L. Baisa, Stéphanie Bricq, Alain Lalande

CoRR, 2017

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

Nathanael L. Baisa, Andrew M. Wallace

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

Long-term Correlation Tracking using Multi-layer Hybrid Features in Dense Environments.

Nathanael L. Baisa, Deepayan Bhowmik, Andrew M. Wallace

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017