Biblio
Enhancing Inland Water Safety: The Lake Constance Obstacle Detection Benchmark.
IEEE International Conference on Robotics and Automation (ICRA). 14808-14814.
(2024). 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). DeepDoubt - Improving uncertainty measures in machine learning to improve explainability and transparency.
2022 All-Hands-Meeting of the BMBF-funded AI Research Projects at Munich Center for Machine Learning.
AHM2022_DeepDoubt.pdf (238.98 KB)
(2022). 
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). 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). 
CNN-Based Monocular 3D Ship Detection Using Inverse Perspective.
Global Oceans.
(2020). Damage Detection for Port Infrastructure by Means of Machine-Learning-Algorithms.
FIG Working Week 2020.
Fig2020.pdf (876.57 KB)
(2020). 
Deep Learning Parametrization for B-Spline Curve Approximation.
2018 International Conference on 3D Vision (3DV). 691–699.
0109.pdf (675.91 KB)
(2018). 
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis.
Computer Graphics & Visual Computing (CGVC).
gcvc18.pdf (5.73 MB)
(2018). 
Learnt knot placement in B-spline curve approximation using support vector machines.
Computer Aided Geometric Design. 62, 104–116.
GMP18.pdf (865.85 KB)
(2018). 
Evaluation of features for SVM-based classification of geometric primitives in point clouds.
Machine Vision Applications (MVA), 2017 Fifteenth IAPR International Conference on. 59–62.
paper.pdf (1.5 MB)
(2017). 
Radiometric calibration of digital cameras using neural networks.
Optics and Photonics for Information Processing XI.
(2017). A short survey on recent methods for cage computation.
BW-CAR| SINCOM. 37.
cagesurvSinCom.pdf (444.89 KB)
(2016). 
On-line CAD Reconstruction with Accumulated Means of Local Geometric Properties.
(Boissonnat, J-D., Cohen A., Gibaru O., Gout C., Lyche T., Mazure M-L., et al., Ed.).Curves and Surfaces, 8th International Conference, Paris 2014. 181-201.
OnlineCADReconst.pdf (3.18 MB)
(2015). 
Pixel-wise Hybrid Image Registration on Wood Decors.
BW-CAR| SINCOM. 24.
Grunwald_2015_Pixel-wiseHybridImageRegistration.pdf (2.42 MB)
(2015). 
Radiometric calibration of digital cameras using Gaussian processes.
SPIE Optics+ Optoelectronics.
Schall et al_2015_Radiometric calibration of digital cameras using Gaussian processes.PDF (953.2 KB)
(2015). 
Support Vector Machines for Classification of Geometric Primitives in Point Clouds.
(Boissonnat, J-D., Cohen A., Gibaru O., Gout C., Lyche T., Mazure M-L., et al., Ed.).Curves and Surfaces, 8th International Conference, Paris 2014. 80-95.
Caputo et al_2015_Support vector machines for classification of geometric primitives in point clouds.pdf (2.64 MB)
(2015). 
A Virtual-Reality 3d-Laser-Scan Simulation.
BW-CAR| SINCOM. 68.
(2015). Learning geometric primitives in point clouds.
Symposium on Geometry Processing, Cardiff 2014.
Caputo et al_2014_Learning geometric primitives in point clouds.pdf (630.12 KB)
(2014). 
Merging multiple 3d face reconstructions.
(Benyoucef, D., & Reich C., Ed.).Symposium on Information and Communication Systems. 7-12.
Merging3DFaceReconst.pdf (12.91 MB)
(2014). 
On-line reconstruction of CAD geometry.
International Conference on 3d Vision.
OnlineReconstruction.pdf (392.38 KB)
(2013). 
3d hand gesture recognition based on sensor fusion of commodity hardware.
(Reiterer, H., & Deussen O., Ed.).Mensch und Computer.
GestureRecognition.pdf (378.26 KB)
(2012). 