David Cornett III
Orcid: 0000-0002-2291-0860Affiliations:
- Oak Ridge National Laboratory, Oak Ridge, TN, USA
According to our database1,
David Cornett III
authored at least 11 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Long-Range Biometric Identification in Real World Scenarios: A Comprehensive Evaluation Framework Based on Missions.
CoRR, 2024
From Data to Insights: A Covariate Analysis of the IARPA BRIAR Dataset for Multimodal Biometric Recognition Algorithms at Altitude and Range.
CoRR, 2024
From Data to Insights: A Covariate Analysis of the IARPA BRIAR Dataset for Multimodal Biometric Recognition Algorithms at Altitude and Range.
Proceedings of the IEEE International Joint Conference on Biometrics, 2024
Long-Range Biometric Identification in Real World Scenarios: A Comprehensive Evaluation Framework Based on Missions.
Proceedings of the IEEE International Joint Conference on Biometrics, 2024
2023
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023
VDiSC: An Open Source Framework for Distributed Smart City Vision and Biometric Surveillance Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023
2022
FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems.
CoRR, 2022
2020
The Mertens Unrolled Network (MU-Net): A High Dynamic Range Fusion Neural Network for Through the Windshield Driver Recognition.
CoRR, 2020
Face Recognition Oak Ridge (FaRO): A Framework for Distributed and Scalable Biometrics Applications.
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020
2019
Proceedings of the Computational Imaging XVII, Burlingame, 2019
Proceedings of the 10th IEEE International Conference on Biometrics Theory, 2019