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Aidan Boyd
Aidan Boyd
Computer Vision Researcher, Nokia Bell Labs
Verified email at nokia-bell-labs.com
Title
Cited by
Cited by
Year
Deep learning-based feature extraction in iris recognition: Use existing models, fine-tune or train from scratch?
A Boyd, A Czajka, K Bowyer
2019 IEEE 10th International Conference on Biometrics Theory, Applications …, 2019
562019
Iris liveness detection competition (livdet-iris)-the 2020 edition
P Das, J Mcfiratht, Z Fang, A Boyd, G Jang, A Mohammadi, S Purnapatra, ...
2020 IEEE international joint conference on biometrics (IJCB), 1-9, 2020
512020
Iris presentation attack detection: Where are we now?
A Boyd, Z Fang, A Czajka, KW Bowyer
Pattern Recognition Letters 138, 483-489, 2020
342020
CYBORG: Blending human saliency into the loss improves deep learning-based synthetic face detection
A Boyd, P Tinsley, KW Bowyer, A Czajka
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
25*2023
Human-aided saliency maps improve generalization of deep learning
A Boyd, KW Bowyer, A Czajka
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
242022
Post-mortem iris recognition—a survey and assessment of the state of the art
A Boyd, S Yadav, T Swearingen, A Kuehlkamp, M Trokielewicz, ...
IEEE Access 8, 136570-136593, 2020
242020
Review of iris presentation attack detection competitions
D Yambay, P Das, A Boyd, J McGrath, Z Fang, A Czajka, S Schuckers, ...
Handbook of Biometric Anti-Spoofing: Presentation Attack Detection and …, 2023
182023
The value of ai guidance in human examination of synthetically-generated faces
A Boyd, P Tinsley, K Bowyer, A Czajka
Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5930-5938, 2023
122023
Comprehensive study in open-set iris presentation attack detection
A Boyd, J Speth, L Parzianello, KW Bowyer, A Czajka
IEEE Transactions on Information Forensics and Security 18, 3238-3250, 2023
10*2023
Human saliency-driven patch-based matching for interpretable post-mortem iris recognition
A Boyd, D Moreira, A Kuehlkamp, K Bowyer, A Czajka
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
92023
Interpretable deep learning-based forensic iris segmentation and recognition
A Kuehlkamp, A Boyd, A Czajka, K Bowyer, P Flynn, D Chute, E Benjamin
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
92022
Stepwise Transfer Learning for Expert-Level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario
A Boyd, Z Ye, S Prabhu, MC Tjong, Y Zha, A Zapaischykova, ...
Radiology: Artificial Intelligence, e230254, 2024
7*2024
Head and neck primary tumor and lymph node auto-segmentation for PET/CT scans
A Jain, J Huang, Y Ravipati, G Cain, A Boyd, Z Ye, BH Kann
3D Head and Neck Tumor Segmentation in PET/CT Challenge, 61-69, 2022
72022
Iris Liveness Detection Competition (LivDet-Iris)–The 2023 Edition
P Tinsley, S Purnapatra, M Mitcheff, A Boyd, C Crum, K Bowyer, P Flynn, ...
2023 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2023
62023
Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning
D Tak, Z Ye, A Zapaischykova, Y Zha, A Boyd, S Vajapeyam, R Chopra, ...
Radiology: Artificial Intelligence 6 (3), e230333, 2024
52024
Explain to me: Salience-based explainability for synthetic face detection models
CR Crum, P Tinsley, A Boyd, J Piland, C Sweet, T Kelley, K Bowyer, ...
IEEE Transactions on Artificial Intelligence, 2023
32023
Teaching ai to teach: Leveraging limited human salience data into unlimited saliency-based training
CR Crum, A Boyd, K Bowyer, A Czajka
arXiv preprint arXiv:2306.05527, 2023
32023
Are gabor kernels optimal for iris recognition?
A Boyd, A Czajka, K Bowyer
2020 IEEE International Joint Conference on Biometrics (IJCB), 1-9, 2020
32020
Audio DSP remote hardware prototyping and console creation
D Canavan, F Callaly, A Boyd, D O’Loughlin, J Audiger, Y Boyer, ...
2018 29th Irish Signals and Systems Conference (ISSC), 1-6, 2018
32018
SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations
A Zapaishchykova, D Tak, A Boyd, Z Ye, HJWL Aerts, BH Kann
Software Impacts 17, 100536, 2023
12023
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