Biblio
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Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data.
ISPRS Journal of Photogrammetry and Remote Sensing. 168, 156 - 169.
(2020). Biologically-inspired vs. CNN texture representations in novelty detection.
Applications of Machine Learning 2021. 118430I.
Spie2021.pdf (5.33 MB)
(2021). 
Biologically-inspired vs. CNN texture representations in novelty detection.
Applications of Machine Learning 2021. 118430I.
Spie2021.pdf (5.33 MB)
(2021). 
Fast and efficient image novelty detection based on mean-shifts.
Sensors | Unusual Behavior Detection Based on Machine Learning .
(2022). Fast and memory-efficient independent component analysis using Lie group techniques.
International Conference on Curves and Surfaces.
(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). 
Large-scale independent component analysis by speeding up Lie group techniques.
International Conference on Acoustics, Speech, and Signal Processing, ICASSP.
conference_101719.pdf (646.58 KB)
(2022). 
Targetless Lidar-camera registration using patch-wise mutual information.
International Conference on Information Fusion.
mir_reg_patch.pdf (9.58 MB)
(2022). 
Bayesian Calibration of MEMS Accelerometers.
IEEE Sensors Journal.
(2023).
(2023). Incremental one-class learning using regularized null-space training for industrial defect detection.
16th International Conference on Machine Vision (ICMV).
(2023). Visual Pitch and Roll Estimation For Inland Water Vessels.
IEEE International Conference on Robotics and Automation (ICRA). 1961-1967.
(2023). Enhancing Inland Water Safety: The Lake Constance Obstacle Detection Benchmark.
IEEE International Conference on Robotics and Automation (ICRA). 14808-14814.
(2024).