Fabian Timm
Fabian Timm
PhD of Computer Science, Robert Bosch GmbH, Corporate Research
Bestätigte E-Mail-Adresse bei de.bosch.com
Titel
Zitiert von
Zitiert von
Jahr
Accurate eye centre localisation by means of gradients.
F Timm, E Barth
Visapp 11, 125-130, 2011
3642011
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
562019
Non-parametric texture defect detection using Weibull features
F Timm, E Barth
Image Processing: Machine Vision Applications IV 7877, 78770J, 2011
392011
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
202019
Simple incremental one-class support vector classification
K Labusch, F Timm, T Martinetz
Joint Pattern Recognition Symposium, 21-30, 2008
92008
Novelty detection for the inspection of light-emitting diodes
F Timm, E Barth
Expert Systems with Applications 39 (3), 3413-3422, 2012
72012
Statistical Fourier Descriptors for Defect Image Classification
F Timm, T Martinetz
20th Int. Conference on Pattern Recognition (ICPR), 4190-4193, 2010
7*2010
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
62019
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
62009
Learning Multimodal Fixed-Point Weights using Gradient Descent
L Enderich, F Timm, L Rosenbaum, W Burgard
7th European Symposium on Artificial Neural Networks …, 2019
42019
Accurate, fast, and robust centre localisation for images of semiconductor components
F Timm, E Barth
Image Processing: Machine Vision Applications IV 7877, 787705, 2011
42011
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
42008
Optical inspection of welding seams
F Timm, T Martinetz, E Barth
omputer Vision, Imaging and Computer Graphics: Theory and Applications, 269-282, 2009
32009
Inferring Spatial Uncertainty in Object Detection
Z Wang, D Feng, Y Zhou, W Zhan, L Rosenbaum, F Timm, K Dietmayer, ...
arXiv preprint arXiv:2003.03644, 2020
22020
Method and apparatus for estimating a pose
T Martinetz, K Ehlers, F Timm, E Barth, S Klement
US Patent 9,159,134, 2015
22015
SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization
L Enderich, F Timm, W Burgard
https://arxiv.org/abs/2002.08204, 2020
12020
Machine Vision for Inspection and Novelty Detection
F Timm
Zentrale Hochschulbibliothek Lübeck, 2011
12011
Holistic Filter Pruning for Efficient Deep Neural Networks
L Enderich, F Timm, W Burgard
arXiv preprint arXiv:2009.08169, 2020
2020
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
D Feng, L Rosenbaum, F Timm, K Dietmayer
arXiv preprint arXiv:2008.04168, 2020
2020
Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving
T Michalke, C Wüst, D Feng, C Gläser, M Dolgov, F Timm
https://arxiv.org/abs/2004.07639, 2020
2020
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