Dr Hossein Rahmani
Senior Lecturer in Data Science
Lancaster University
Dr Bryan M. Williams is a Lecturer in Biometrics and Human Identification with the School of Computing and Communications at Lancaster University and honorary Lecturer in Ophthalmic Imaging with the University of Liverpool; he also holds an honorary contract with Royal Liverpool University Hospital for research in medical imaging. He obtained a PhD in mathematics from the University of Liverpool in 2015 and worked as a research associate at Universität des Saarlandes before returning to Liverpool as a research associate to work on medical device development. His research focusses on the development of automated image enhancement, analysis and processing techniques for medical and biometric applications. He is leading the ERC-funded research project H-Unique, which aims to automate the identification of suspects from images of their hands.
Invited Talks
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Sue Black: Guest lecture for SCC361 Artificial Intelligence
Student Feedback: “The guest lecture from Susan Black has to be one of the best lectures throughout the degree, being both informative and giving a good understanding of just how much of AI is used in the real world.”
Recent Publications
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Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
Yang X, Rahmani H, Black S, Williams BM. arXiv preprint arXiv:2402.17891. 2024 Feb 27.
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A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
Jiang Z, Rahmani H, Black S, Williams BM. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (pp. 758-767).
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Graph-context Attention Networks for Size-varied Deep Graph Matching
Jiang Z, Rahmani H, Angelov P, Black S, Williams BM. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022 (pp. 2343-2352).
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Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
Baisa NL, Williams B, Rahmani H, Angelov P, Black S. In 2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA) 2022 Apr 19 (pp. 1-6). IEEE.
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Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization
Vyas R, Williams BM, Rahmani H, Boswell-Challand R, Jiang Z, Angelov P, and Black S. Sensors. 2022; 22(4): 1569.
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Recent Advances of Continual Learning in Computer Vision: An Overview
Qu H, Rahmani H, Xu L, Williams B, Liu J. arXiv preprint arXiv:2109.11369. 2021.
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Multi-Branch with Attention Network for Hand-Based Person Recognition
Baisa NL, Williams B, Rahmani H, Angelov P, Black S. arXiv preprint arXiv:2108.02234. 2021.
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Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition
Vyas R, Rahmani H, Boswell-Challand R, Angelov P, Black S, Williams B. In International Joint Conference on Biometrics (IJCB) 2021. IEEE.
Funding
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Biometric-based artificial intelligence to identify suspects of serious crime in large datasets
Joint ESRC-EPSRC Impact Acceleration Account Bryan M. Williams, Hossein Rahmani, Sophie Nightingale Award Amount: £15,000 Project Start Date: 01/09/2021 Project End Date: 31/08/2022
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H2020: Foundations of Trustworthy AI – Integrating Reasoning, Learning and Optimization (TAILOR)
European Commission Award Amount: £132,948.78 Project Start Date: 01/09/2020 Project End Date: 31/08/2023
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Target-Aware High-Quality Video Generation via 3D CNN based Self-Supervised Adversary Learning
Huawei Technologies CO. Ltd Award Amount: £53,435.27 Project Start Date: 27/02/2020 Project End Date: 26/02/2021
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H-Unique: In Search of Uniqueness – Harnessing Anatomical Hand Variation
ERC Award Amount: £2,000,000 Project Start Date: 01/09/2019 Project End Date: 31/12/2024
Latest News
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Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
Yang X, Rahmani H, Black S, Williams BM. arXiv preprint arXiv:2402.17891. 2024 Feb 27.
-
A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
Jiang Z, Rahmani H, Black S, Williams BM. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (pp. 758-767).
-
Graph-context Attention Networks for Size-varied Deep Graph Matching
Jiang Z, Rahmani H, Angelov P, Black S, Williams BM. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022 (pp. 2343-2352).
-
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
Baisa NL, Williams B, Rahmani H, Angelov P, Black S. In 2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA) 2022 Apr 19 (pp. 1-6). IEEE.
-
Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization
Vyas R, Williams BM, Rahmani H, Boswell-Challand R, Jiang Z, Angelov P, and Black S. Sensors. 2022; 22(4): 1569.
-
Sue Black: Guest lecture for SCC361 Artificial Intelligence
Student Feedback: “The guest lecture from Susan Black has to be one of the best lectures throughout the degree, being both informative and giving a good understanding of just how much of AI is used in the real world.”
-
Recent Advances of Continual Learning in Computer Vision: An Overview
Qu H, Rahmani H, Xu L, Williams B, Liu J. arXiv preprint arXiv:2109.11369. 2021.
-
Multi-Branch with Attention Network for Hand-Based Person Recognition
Baisa NL, Williams B, Rahmani H, Angelov P, Black S. arXiv preprint arXiv:2108.02234. 2021.