Computer Vision and Machine Learning
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- 2025
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Mark
Spiideo SoccerNet SynLoc : Single Frame World Coordinate Athlete Detection and Localization with Synthetic Data
(2025) 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2025 p.278-285
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data
- Contribution to journal › Article
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Mark
Outcome prediction of prostate cancer patients on active surveillance using weakly supervised deep learning
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Leveraging axis-aligned subspaces for high-dimensional Bayesian optimization with group testing
(2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Breast cancer classification in point-of-care ultrasound imaging—the impact of training data
- Contribution to journal › Article
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Mark
Pixel-Perfect Structure-From-Motion With Featuremetric Refinement
- Contribution to journal › Article
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Mark
Towards Out-of-Distribution Detection for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
(2025) 27th International Conference on Pattern Recognition, ICPR 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15313 LNCS. p.49-63
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Towards Zero Bottlenecks for Scaling Autonomous Driving
- Thesis › Doctoral thesis (compilation)
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Mark
NeuroNCAP : Photorealistic Closed-Loop Safety Testing for Autonomous Driving
(2025) 18th European Conference on Computer Vision, ECCV 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15088 LNCS. p.161-177
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Single-Source Localization as an Eigenvalue Problem
- Contribution to journal › Article
