Computer Vision and Machine Learning
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- 2025
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Mark
Anatomically informed deep learning framework for generating fast, low-dose synthetic CBCT for prostate radiotherapy
- 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
-
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
-
Mark
Fine-Grained Classification of Unpigmented Skin Cancer from Paired Dermatoscopy Images
(2025) 23rd Scandinavian Conference on Image Analysis, SCIA 2025 In Lecture Notes in Computer Science 15726 LNCS. p.293-306
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
System Identification and Data-Driven Modeling
(2025)
- Thesis › Doctoral thesis (compilation)
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Mark
Sparse Multi-View Computer Vision for 3D Human and Scene Understanding
(2025)
- Thesis › Doctoral thesis (compilation)
-
Mark
Integrating smooth motion assumptions with RANSAC-based sound source localization
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Accelerating aqueous electrolyte design with automated full-cell battery experimentation and Bayesian optimization
- Contribution to journal › Article
