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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
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
10362019
Accurate eye centre localisation by means of gradients.
F Timm, E Barth
Visapp 11, 125-130, 2011
4672011
Non-parametric texture defect detection using Weibull features
F Timm, E Barth
Image Processing: Machine Vision Applications IV 7877, 150-161, 2011
802011
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
772019
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
452019
Inferring spatial uncertainty in object detection
Z Wang, D Feng, Y Zhou, L Rosenbaum, F Timm, K Dietmayer, ...
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
302020
Leveraging uncertainties for deep multi-modal object detection in autonomous driving
D Feng, Y Cao, L Rosenbaum, F Timm, K Dietmayer
2020 IEEE Intelligent Vehicles Symposium (IV), 877-884, 2020
292020
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
M Ulrich, C Gläser, F Timm
https://arxiv.org/abs/2010.09273, 2020
272020
Holistic filter pruning for efficient deep neural networks
L Enderich, F Timm, W Burgard
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
222021
Novelty detection for the inspection of light-emitting diodes
F Timm, E Barth
Expert Systems with Applications 39 (3), 3413-3422, 2012
202012
Labels are not perfect: Inferring spatial uncertainty in object detection
D Feng, Z Wang, Y Zhou, L Rosenbaum, F Timm, K Dietmayer, ...
IEEE Transactions on Intelligent Transportation Systems 23 (8), 9981-9994, 2021
192021
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets
D Feng, C Haase-Schuetz, L Rosenbaum, H Hertlein, C Gläser, F Timm, ...
Methods, and Challenges, 2019
182019
Statistical Fourier Descriptors for Defect Image Classification
F Timm, T Martinetz
20th Int. Conference on Pattern Recognition (ICPR), 4190-4193, 2010
13*2010
Learning Multimodal Fixed-Point Weights using Gradient Descent
L Enderich, F Timm, L Rosenbaum, W Burgard
7th European Symposium on Artificial Neural Networks …, 2019
92019
Simple incremental one-class support vector classification
K Labusch, F Timm, T Martinetz
Joint Pattern Recognition Symposium, 21-30, 2008
92008
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
82020
Method and apparatus for estimating a pose
T Martinetz, K Ehlers, F Timm, E Barth, S Klement
US Patent 9,159,134, 2015
82015
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
72020
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
72009
Where can i drive? a system approach: Deep ego corridor estimation for robust automated driving
T Michalke, C Wüst, D Feng, M Dolgov, C Gläser, F Timm
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
62021
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