Biblio
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Author Title Type [ Year
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Fast and efficient image novelty detection based on mean-shifts.
Sensors | Unusual Behavior Detection Based on Machine Learning .
(2022). Image novelty detection based on mean-shift and typical set size.
21th International Conference on Image Analysis and Processing, ICIAP.
ICIAP-mean-shift-novelty-detection-preprint.pdf (2.96 MB)
(2022). 
Targetless Lidar-camera registration using patch-wise mutual information.
International Conference on Information Fusion.
mir_reg_patch.pdf (9.58 MB)
(2022). 
Targetless Lidar-camera registration using patch-wise mutual information.
International Conference on Information Fusion.
mir_reg_patch.pdf (9.58 MB)
(2022).
(2022). 
Deep transformation models for functional outcome prediction after acute ischemic stroke.
Biometrical Journal. 65, 2100379.
(2023). Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model.
International Conference on Information Fusion (FUSION). 1-8.
(2023). Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model.
International Conference on Information Fusion (FUSION). 1-8.
(2023). Incremental one-class learning using regularized null-space training for industrial defect detection.
16th International Conference on Machine Vision (ICMV).
(2023). Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays.
Global Spine Journal. 21925682231154543.
(2023). Visual Pitch and Roll Estimation For Inland Water Vessels.
IEEE International Conference on Robotics and Automation (ICRA). 1961-1967.
(2023). 3D-Extended Object Tracking and Shape Classification with a Lidar Sensor using Random Matrices and Virtual Measurement Models.
27th International Conference on Information Fusion (FUSION). 1-8.
(2024). 3D-Extended Object Tracking and Shape Classification with a Lidar Sensor using Random Matrices and Virtual Measurement Models.
27th International Conference on Information Fusion (FUSION). 1-8.
(2024). Enhancing Inland Water Safety: The Lake Constance Obstacle Detection Benchmark.
IEEE International Conference on Robotics and Automation (ICRA). 14808-14814.
(2024).
(2025).