Joel Brogan

Orcid: 0000-0002-2069-7699

According to our database1, Joel Brogan authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 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

2021
Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval.
IEEE Trans. Image Process., 2021

Automatic Discovery of Political Meme Genres with Diverse Appearances.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

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
Needle in a Haystack: A Framework for Seeking Small Objects in Big Datasets.
CoRR, 2019

Beyond Pixels: Image Provenance Analysis Leveraging Metadata.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018
Image Provenance Analysis at Scale.
IEEE Trans. Image Process., 2018

Trends and Controversies.
IEEE Intell. Syst., 2018

Image Provenance Analysis at Scale.
CoRR, 2018

To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
Provenance filtering for multimedia phylogeny.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Spotting the difference: Context retrieval and analysis for improved forgery detection and localization.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

U-Phylogeny: Undirected provenance graph construction in the wild.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
To Frontalize or Not To Frontalize: Do We Really Need Elaborate Pre-Processing to Improve Face Recognition Performance?
CoRR, 2016

Report on the BTAS 2016 Video Person Recognition Evaluation.
Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

Toward facial re-identification: Experiments with data from an operational surveillance camera plant.
Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016


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