Fabian Timm
Fabian Timm
PhD of Computer Science, Robert Bosch GmbH, Corporate Research
Bestätigte E-Mail-Adresse bei de.bosch.com
TitelZitiert vonJahr
Accurate eye centre localisation by means of gradients.
F Timm, E Barth
Visapp 11, 125-130, 2011
Non-parametric texture defect detection using Weibull features
F Timm, E Barth
Image Processing: Machine Vision Applications IV 7877, 78770J, 2011
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
D Feng, C Haase-Schuetz, L Rosenbaum, H Hertlein, C Glaeser, F Timm, ...
https://arxiv.org/abs/1902.07830v2, 2019
Leveraging heteroscedastic aleatoric uncertainties for robust real-time lidar 3d object detection
D Feng, L Rosenbaum, F Timm, K Dietmayer
2019 IEEE Intelligent Vehicles Symposium (IV), 1280-1287, 2019
Simple incremental one-class support vector classification
K Labusch, F Timm, T Martinetz
Joint Pattern Recognition Symposium, 21-30, 2008
Novelty detection for the inspection of light-emitting diodes
F Timm, E Barth
Expert Systems with Applications 39 (3), 3413-3422, 2012
Statistical Fourier Descriptors for Defect Image Classification
F Timm, T Martinetz
20th Int. Conference on Pattern Recognition (ICPR), 4190-4193, 2010
Welding Inspection using Novel Specularity Features and a One-class SVM.
F Timm, S Klement, T Martinetz, E Barth
Int. Conference on Computer Theory and Applications (VISAPP) 1 (INSTICC …, 2009
Accurate, fast, and robust centre localisation for images of semiconductor components
F Timm, E Barth
Image Processing: Machine Vision Applications IV 7877, 787705, 2011
Fast model selection for maxminover-based training of support vector machines
F Timm, S Klement, T Martinetz
19th International Conference on Pattern Recognition (ICPR), 1-4, 2008
Optical inspection of welding seams
F Timm, T Martinetz, E Barth
omputer Vision, Imaging and Computer Graphics: Theory and Applications, 269-282, 2009
Machine Vision for Inspection and Novelty Detection
F Timm
Zentrale Hochschulbibliothek Lübeck, 2011
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving
D Feng, L Rosenbaum, C Glaeser, F Timm, K Dietmayer
arXiv preprint arXiv:1909.12358, 2019
Learning Multimodal Fixed-Point Weights using Gradient Descent
L Enderich, F Timm, L Rosenbaum, W Burgard
7th European Symposium on Artificial Neural Networks …, 2019
Method and apparatus for estimating a pose
T Martinetz, K Ehlers, F Timm, E Barth, S Klement
US Patent 9,159,134, 2015
Illumination Correction for Image Stitching.
S Klement, F Timm, E Barth
Int. Conference on Imaging Theory and Applications (IMAGAPP), 81-86, 2011
Methoden zur optischen Qualitätskontrolle
F Timm
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–17