Fabian Timm

According to our database, Fabian Timm authored at least 24 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection.

Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan

IEEE Trans. Intell. Transp. Syst., 2022

2021

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges.

Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Claudius Gläser, Fabian Timm, Werner Wiesbeck, Klaus Dietmayer

IEEE Trans. Intell. Transp. Syst., 2021

Holistic Filter Pruning for Efficient Deep Neural Networks.

Lukas Enderich, Fabian Timm, Wolfram Burgard

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving.

Thomas Michalke, Colin Wüst, Di Feng, Maxim Dolgov, Claudius Gläser, Fabian Timm

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

SYMOG: Learning symmetric mixture of Gaussian modes for improved fixed-point quantization.

Lukas Enderich, Fabian Timm, Wolfram Burgard

Neurocomputing, 2020

DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections.

Michael Ulrich, Claudius Gläser, Fabian Timm

CoRR, 2020

Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty.

Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer

CoRR, 2020

Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving.

Thomas Michalke, Colin Wüst, Di Feng, Claudius Gläser, Maxim Dolgov, Fabian Timm

CoRR, 2020

Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving.

Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Inferring Spatial Uncertainty in Object Detection.

Zining Wang, Di Feng, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving.

Di Feng, Lars Rosenbaum, Claudius Gläser, Fabian Timm, Klaus Dietmayer

CoRR, 2019

Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection.

Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Learning multimodal fixed-point weights using gradient descent.

Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2012

Machine vision for inspection and novelty detection.

Fabian Timm

PhD thesis, 2012

Novelty detection for the inspection of light-emitting diodes.

Fabian Timm, Erhardt Barth

Expert Syst. Appl., 2012

2011

Accurate Eye Centre Localisation by Means of Gradients.

Fabian Timm, Erhardt Barth

Proceedings of the VISAPP 2011, 2011

Illumination Correction for Image Stitching.

Sascha Klement, Fabian Timm, Erhardt Barth

Proceedings of the IMAGAPP & IVAPP 2011, 2011

Non-parametric texture defect detection using Weibull features.

Fabian Timm, Erhardt Barth

Proceedings of the Image Processing: Machine Vision Applications IV, 2011

Accurate, fast, and robust centre localisation for images of semiconductor components.

Fabian Timm, Erhardt Barth

Proceedings of the Image Processing: Machine Vision Applications IV, 2011

2010

Statistical Fourier Descriptors for Defect Image Classification.

Fabian Timm, Thomas Martinetz

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Optical Inspection of Welding Seams.

Fabian Timm, Thomas Martinetz, Erhardt Barth

Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Applications, 2009

Welding Inspection using Novel Specularity Features and a One-class SVM.

Fabian Timm, Sascha Klement, Thomas Martinetz, Erhardt Barth

Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

2008

Fast model selection for MaxMinOver-based training of support vector machines.

Fabian Timm, Sascha Klement, Thomas Martinetz

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Simple Incremental One-Class Support Vector Classification.

Kai Labusch, Fabian Timm, Thomas Martinetz

Proceedings of the Pattern Recognition, 2008