Fabian Timm

31 papers A 2B 3C 2Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2022 J jnl
Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection.
IEEE Trans. Intell. Transp. Syst.
Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan
2021 J jnl
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges.
IEEE Trans. Intell. Transp. Syst.
Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Claudius Gläser, Fabian Timm, Werner Wiesbeck, Klaus Dietmayer
2021 A conf
Holistic Filter Pruning for Efficient Deep Neural Networks.
WACV
Lukas Enderich, Fabian Timm, Wolfram Burgard
2021 — conf
Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving.
ITSC
Thomas Michalke, Colin Wüst, Di Feng, Maxim Dolgov, Claudius Gläser, Fabian Timm
2020 J jnl
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections.
CoRR
Michael Ulrich, Claudius Gläser, Fabian Timm
2020 J jnl
Holistic Filter Pruning for Efficient Deep Neural Networks.
CoRR
Lukas Enderich, Fabian Timm, Wolfram Burgard
2020 A conf
Inferring Spatial Uncertainty in Object Detection.
IROS
Zining Wang, Di Feng, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan
2020 J jnl
Inferring Spatial Uncertainty in Object Detection.
CoRR
Zining Wang, Di Feng, Yiyang Zhou, Wei Zhan, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka
2020 J jnl
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty.
CoRR
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
2020 J jnl
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection.
CoRR
Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan
2020 C conf
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving.
IV
Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
2020 J jnl
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving.
CoRR
Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
2020 J jnl
SYMOG: Learning symmetric mixture of Gaussian modes for improved fixed-point quantization.
Neurocomputing
Lukas Enderich, Fabian Timm, Wolfram Burgard
2020 J jnl
SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization.
CoRR
Lukas Enderich, Fabian Timm, Wolfram Burgard
2020 J jnl
Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving.
CoRR
Thomas Michalke, Colin Wüst, Di Feng, Claudius Gläser, Maxim Dolgov, Fabian Timm
2019 J jnl
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving.
CoRR
Di Feng, Lars Rosenbaum, Claudius Gläser, Fabian Timm, Klaus Dietmayer
2019 J jnl
Learning Multimodal Fixed-Point Weights using Gradient Descent.
CoRR
Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard
2019 B conf
Learning multimodal fixed-point weights using gradient descent.
ESANN
Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard
2019 C conf
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection.
IV
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
2018 J jnl
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection.
CoRR
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
2012 — —
Machine vision for inspection and novelty detection.
Fabian Timm
2012 J jnl
Novelty detection for the inspection of light-emitting diodes.
Expert Syst. Appl.
Fabian Timm, Erhardt Barth
2011 — conf
Accurate Eye Centre Localisation by Means of Gradients.
VISAPP
Fabian Timm, Erhardt Barth
2011 — conf
Accurate, fast, and robust centre localisation for images of semiconductor components.
Image Processing: Machine Vision Applications
Fabian Timm, Erhardt Barth
2011 — conf
Illumination Correction for Image Stitching.
IMAGAPP/IVAPP
Sascha Klement, Fabian Timm, Erhardt Barth
2011 — conf
Non-parametric texture defect detection using Weibull features.
Image Processing: Machine Vision Applications
Fabian Timm, Erhardt Barth
2010 B conf
Statistical Fourier Descriptors for Defect Image Classification.
ICPR
Fabian Timm, Thomas Martinetz
2009 — conf
Optical Inspection of Welding Seams.
VISIGRAPP (Selected Papers)
Fabian Timm, Thomas Martinetz, Erhardt Barth
2009 — conf
Welding Inspection using Novel Specularity Features and a One-class SVM.
VISAPP (1)
Fabian Timm, Sascha Klement, Thomas Martinetz, Erhardt Barth
2008 B conf
Fast model selection for MaxMinOver-based training of support vector machines.
ICPR
Fabian Timm, Sascha Klement, Thomas Martinetz
2008 — conf
Simple Incremental One-Class Support Vector Classification.
DAGM-Symposium
Kai Labusch, Fabian Timm, Thomas Martinetz