Aidan Boyd
Orcid: 0000-0001-9756-0570
According to our database1,
Aidan Boyd
authored at least 20 papers
between 2019 and 2024.
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Bibliography
2024
IEEE Trans. Artif. Intell., June, 2024
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency.
CoRR, 2024
2023
SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations.
Softw. Impacts, September, 2023
IEEE Trans. Inf. Forensics Secur., 2023
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning-Based Synthetic Face Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023
Proceedings of the IEEE International Joint Conference on Biometrics, 2023
Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
2021
2020
IEEE Access, 2020
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020
2019
Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?
Proceedings of the 10th IEEE International Conference on Biometrics Theory, 2019