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Journal Articles
- 2024
[j5]Colton R. Crum, Patrick Tinsley
, Aidan Boyd, Jacob Piland, Christopher Sweet, Timothy Kelley, Kevin W. Bowyer, Adam Czajka:
Explain to Me: Salience-Based Explainability for Synthetic Face Detection Models. IEEE Trans. Artif. Intell. 5(6): 2766-2778 (2024)- 2023
- [j4]Anna Zapaishchykova, Divyanshu Tak, Aidan Boyd, Zezhong Ye, Hugo J. W. L. Aerts, Benjamin H. Kann:
SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations. Softw. Impacts 17: 100536 (2023) - [j3]Aidan Boyd, Jeremy Speth, Lucas Parzianello, Kevin W. Bowyer, Adam Czajka:
Comprehensive Study in Open-Set Iris Presentation Attack Detection. IEEE Trans. Inf. Forensics Secur. 18: 3238-3250 (2023) - 2020
- [j2]Aidan Boyd, Shivangi Yadav, Thomas Swearingen, Andrey Kuehlkamp, Mateusz Trokielewicz, Eric Benjamin, Piotr Maciejewicz, Dennis Chute, Arun Ross, Patrick J. Flynn, Kevin W. Bowyer, Adam Czajka:
Post-Mortem Iris Recognition - A Survey and Assessment of the State of the Art. IEEE Access 8: 136570-136593 (2020) - [j1]Aidan Boyd, Zhaoyuan Fang, Adam Czajka, Kevin W. Bowyer:
Iris presentation attack detection: Where are we now? Pattern Recognit. Lett. 138: 483-489 (2020)
Conference and Workshop Papers
- 2023
- [c11]Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka:
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces. AAAI 2023: 5930-5938 - [c10]Colton R. Crum, Aidan Boyd, Kevin W. Bowyer, Adam Czajka:
Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training. BMVC 2023: 622 - [c9]Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton R. Crum, Kevin W. Bowyer, Patrick J. Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan E. Tapia, Christoph Busch, Carlos M. Aravena, Daniel Schulz:
Iris Liveness Detection Competition (LivDet-Iris) - The 2023 Edition. IJCB 2023: 1-10 - [c8]Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp, Kevin W. Bowyer, Adam Czajka:
Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition. WACV (Workshops) 2023: 701-710 - [c7]Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka:
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning-Based Synthetic Face Detection. WACV 2023: 6097-6106 - 2022
- [c6]Arnav Jain, Julia Huang, Yashwanth Ravipati, Gregory Cain, Aidan Boyd, Zezhong Ye, Benjamin H. Kann:
Head and Neck Primary Tumor and Lymph Node Auto-segmentation for PET/CT Scans. HECKTOR@MICCAI 2022: 61-69 - [c5]Andrey Kuehlkamp, Aidan Boyd, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn, Dennis Chute, Eric Benjamin:
Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition. WACV (Workshops) 2022: 359-368 - [c4]Aidan Boyd, Kevin W. Bowyer, Adam Czajka:
Human-Aided Saliency Maps Improve Generalization of Deep Learning. WACV 2022: 1255-1264 - 2020
- [c3]Aidan Boyd, Adam Czajka, Kevin W. Bowyer:
Are Gabor Kernels Optimal for Iris Recognition? IJCB 2020: 1-9 - [c2]Priyanka Das, Joseph McGrath, Zhaoyuan Fang, Aidan Boyd, Ganghee Jang, Amir Mohammadi, Sandip Purnapatra, David Yambay, Sébastien Marcel, Mateusz Trokielewicz, Piotr Maciejewicz, Kevin W. Bowyer, Adam Czajka, Stephanie Schuckers, Juan E. Tapia, Sebastian Gonzalez, Meiling Fang, Naser Damer, Fadi Boutros, Arjan Kuijper, Renu Sharma, Cunjian Chen, Arun Ross:
Iris Liveness Detection Competition (LivDet-Iris) - The 2020 Edition. IJCB 2020: 1-9 - 2019
- [c1]Aidan Boyd, Adam Czajka, Kevin W. Bowyer:
Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch? BTAS 2019: 1-9
Informal and Other Publications
- 2024
- [i15]Aidan Boyd, Mohamed Trabelsi, Hüseyin Uzunalioglu, Dan Kushnir:
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency. CoRR abs/2410.16115 (2024) - [i14]Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka:
Training Better Deep Learning Models Using Human Saliency. CoRR abs/2410.16190 (2024) - 2023
- [i13]Colton R. Crum, Patrick Tinsley, Aidan Boyd, Jacob Piland, Christopher Sweet, Timothy Kelley, Kevin W. Bowyer, Adam Czajka:
Explain To Me: Salience-Based Explainability for Synthetic Face Detection Models. CoRR abs/2303.11969 (2023) - [i12]Colton R. Crum, Aidan Boyd, Kevin W. Bowyer, Adam Czajka:
Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training. CoRR abs/2306.05527 (2023) - [i11]Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton R. Crum, Kevin W. Bowyer, Patrick J. Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan E. Tapia, Christoph Busch, Carlos M. Aravena, Daniel Schulz:
Iris Liveness Detection Competition (LivDet-Iris) - The 2023 Edition. CoRR abs/2310.04541 (2023) - 2022
- [i10]Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp, Kevin W. Bowyer, Adam Czajka:
Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition. CoRR abs/2208.03138 (2022) - [i9]Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka:
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces. CoRR abs/2208.10544 (2022) - [i8]Aidan Boyd, Jeremy Speth, Lucas Parzianello, Kevin W. Bowyer, Adam Czajka:
State Of The Art In Open-Set Iris Presentation Attack Detection. CoRR abs/2208.10564 (2022) - 2021
- [i7]Aidan Boyd, Kevin W. Bowyer, Adam Czajka:
Human-Aided Saliency Maps Improve Generalization of Deep Learning. CoRR abs/2105.03492 (2021) - [i6]Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka:
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning. CoRR abs/2112.00686 (2021) - [i5]Andrey Kuehlkamp, Aidan Boyd, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn, Dennis Chute, Eric Benjamin:
Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition. CoRR abs/2112.00849 (2021) - 2020
- [i4]Aidan Boyd, Adam Czajka, Kevin W. Bowyer:
Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch? CoRR abs/2002.08916 (2020) - [i3]Aidan Boyd, Adam Czajka, Kevin W. Bowyer:
Are Gabor Kernels Optimal for Iris Recognition? CoRR abs/2002.08959 (2020) - [i2]Aidan Boyd, Zhaoyuan Fang, Adam Czajka, Kevin W. Bowyer:
Iris Presentation Attack Detection: Where Are We Now? CoRR abs/2006.13252 (2020) - [i1]Priyanka Das, Joseph McGrath, Zhaoyuan Fang, Aidan Boyd, Ganghee Jang, Amir Mohammadi, Sandip Purnapatra, David Yambay, Sébastien Marcel, Mateusz Trokielewicz, Piotr Maciejewicz, Kevin W. Bowyer, Adam Czajka, Stephanie Schuckers, Juan E. Tapia, Sebastian Gonzalez, Meiling Fang, Naser Damer, Fadi Boutros, Arjan Kuijper, Renu Sharma, Cunjian Chen, Arun Ross:
Iris Liveness Detection Competition (LivDet-Iris) - The 2020 Edition. CoRR abs/2009.00749 (2020)
Coauthor Index
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