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Fabian Timm
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2020 – today
- 2022
- [j4]Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan:
Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection. IEEE Trans. Intell. Transp. Syst. 23(8): 9981-9994 (2022) - 2021
- [j3]Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Claudius Gläser, Fabian Timm, Werner Wiesbeck, Klaus Dietmayer:
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. IEEE Trans. Intell. Transp. Syst. 22(3): 1341-1360 (2021) - [c15]Thomas Michalke, Colin Wüst, Di Feng, Maxim Dolgov, Claudius Gläser, Fabian Timm:
Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving. ITSC 2021: 1565-1571 - [c14]Lukas Enderich, Fabian Timm, Wolfram Burgard:
Holistic Filter Pruning for Efficient Deep Neural Networks. WACV 2021: 2595-2604 - 2020
- [j2]Lukas Enderich, Fabian Timm, Wolfram Burgard:
SYMOG: Learning symmetric mixture of Gaussian modes for improved fixed-point quantization. Neurocomputing 416: 310-315 (2020) - [c13]Zining Wang, Di Feng, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan:
Inferring Spatial Uncertainty in Object Detection. IROS 2020: 5792-5799 - [c12]Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving. IV 2020: 877-884 - [i11]Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving. CoRR abs/2002.00216 (2020) - [i10]Lukas Enderich, Fabian Timm, Wolfram Burgard:
SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization. CoRR abs/2002.08204 (2020) - [i9]Zining Wang, Di Feng, Yiyang Zhou, Wei Zhan, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka:
Inferring Spatial Uncertainty in Object Detection. CoRR abs/2003.03644 (2020) - [i8]Thomas Michalke, Colin Wüst, Di Feng, Claudius Gläser, Maxim Dolgov, Fabian Timm:
Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving. CoRR abs/2004.07639 (2020) - [i7]Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty. CoRR abs/2008.04168 (2020) - [i6]Lukas Enderich, Fabian Timm, Wolfram Burgard:
Holistic Filter Pruning for Efficient Deep Neural Networks. CoRR abs/2009.08169 (2020) - [i5]Michael Ulrich, Claudius Gläser, Fabian Timm:
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections. CoRR abs/2010.09273 (2020) - [i4]Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan:
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection. CoRR abs/2012.12195 (2020)
2010 – 2019
- 2019
- [c11]Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard:
Learning multimodal fixed-point weights using gradient descent. ESANN 2019 - [c10]Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection. IV 2019: 1280-1287 - [i3]Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard:
Learning Multimodal Fixed-Point Weights using Gradient Descent. CoRR abs/1907.07220 (2019) - [i2]Di Feng, Lars Rosenbaum, Claudius Gläser, Fabian Timm, Klaus Dietmayer:
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving. CoRR abs/1909.12358 (2019) - 2018
- [i1]Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer:
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection. CoRR abs/1809.05590 (2018) - 2012
- [b1]Fabian Timm:
Machine vision for inspection and novelty detection. University of Lübeck, 2012 - [j1]Fabian Timm, Erhardt Barth:
Novelty detection for the inspection of light-emitting diodes. Expert Syst. Appl. 39(3): 3413-3422 (2012) - 2011
- [c9]Fabian Timm, Erhardt Barth:
Non-parametric texture defect detection using Weibull features. Image Processing: Machine Vision Applications 2011: 78770J - [c8]Fabian Timm, Erhardt Barth:
Accurate, fast, and robust centre localisation for images of semiconductor components. Image Processing: Machine Vision Applications 2011: 787705 - [c7]Sascha Klement, Fabian Timm, Erhardt Barth:
Illumination Correction for Image Stitching. IMAGAPP/IVAPP 2011: 81-86 - [c6]Fabian Timm, Erhardt Barth:
Accurate Eye Centre Localisation by Means of Gradients. VISAPP 2011: 125-130 - 2010
- [c5]Fabian Timm, Thomas Martinetz:
Statistical Fourier Descriptors for Defect Image Classification. ICPR 2010: 4190-4193
2000 – 2009
- 2009
- [c4]Fabian Timm, Sascha Klement, Thomas Martinetz, Erhardt Barth:
Welding Inspection using Novel Specularity Features and a One-class SVM. VISAPP (1) 2009: 146-153 - [c3]Fabian Timm, Thomas Martinetz, Erhardt Barth:
Optical Inspection of Welding Seams. VISIGRAPP (Selected Papers) 2009: 269-282 - 2008
- [c2]Kai Labusch, Fabian Timm, Thomas Martinetz:
Simple Incremental One-Class Support Vector Classification. DAGM-Symposium 2008: 21-30 - [c1]Fabian Timm, Sascha Klement, Thomas Martinetz:
Fast model selection for MaxMinOver-based training of support vector machines. ICPR 2008: 1-4
Coauthor Index
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