Nathanael L. Baisa
Orcid: 0000-0003-2564-4681
According to our database1,
Nathanael L. Baisa
authored at least 20 papers
between 2017 and 2024.
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Bibliography
2024
Local-aware global attention network for person re-identification based on body and hand images.
J. Vis. Commun. Image Represent., 2024
Joint Person Identity, Gender and Age Estimation from Hand Images Using Deep Multi-Task Representation Learning.
Proceedings of the 12th International Workshop on Biometrics and Forensics, 2024
2022
Mushrooms Detection, Localization and 3D Pose Estimation using RGB-D Sensor for Robotic-picking Applications.
CoRR, 2022
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning.
Proceedings of the Eleventh International Conference on Image Processing Theory, 2022
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.
J. Vis. Commun. Image Represent., 2021
Robust online multi-target visual tracking using a HISP filter with discriminative deep appearance learning.
J. Vis. Commun. Image Represent., 2021
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning.
CoRR, 2021
2020
2019
Development of a N-type GM-PHD filter for multiple target, multiple type visual tracking.
J. Vis. Commun. Image Represent., 2019
Digit. Signal Process., 2019
Online Multi-object Visual Tracking using a GM-PHD Filter with Deep Appearance Learning.
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.
J. Vis. Commun. Image Represent., 2018
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018
2017
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.
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