Computer Vision and Machine Learning
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- 2026
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Mark
Efficient Monocular 3D Localisation Using Machine Learning : with Additional Studies on Pose Estimation and Shape Reconstruction
(2026)
- Thesis › Doctoral thesis (compilation)
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Mark
Real-World Applications of Anomaly Detection : Detecting the Unexpected Through Distributional Modelling
- Thesis › Licentiate thesis
- 2025
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Mark
Reconstructing Three-Dimensional Models of Interacting Humans
- Contribution to journal › Article
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Mark
From Sound to Structure : Robust Localization of Sources, Sensors, and Surroundings
(2025)
- Thesis › Doctoral thesis (compilation)
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Mark
Robust Incremental Structure-from-Motion with Hybrid Features
(2025) 18th European Conference on Computer Vision, ECCV 2024 In Lecture Notes in Computer Science 15094 LNCS. p.249-269
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Structure-From-Motion with a Non-Parametric Camera Model
(2025) 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025 In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition p.1040-1049
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Message from the General and Program Chairs CVPR 2025
(2025) 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025 In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
- Chapter in Book/Report/Conference proceeding › Foreword/Postscript
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Mark
Dense Match Summarization for Faster Two-view Estimation
(2025) 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025 In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition p.1093-1102
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Out-of-Distribution Detection in Point-of-Care Ultrasound Breast Imaging Using Variational Autoencoders
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
PLRF-NMS : A Piecewise Linear Rational Function in Non-Maximum Suppression
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
