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Fabian Timm

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Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection

Dec 18, 2020
Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan

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DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections

Oct 19, 2020
Michael Ulrich, Claudius Gläser, Fabian Timm

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Holistic Filter Pruning for Efficient Deep Neural Networks

Sep 17, 2020
Lukas Enderich, Fabian Timm, Wolfram Burgard

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

Aug 10, 2020
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer

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

Apr 16, 2020
Thomas Michalke, Colin Wüst, Di Feng, Claudius Gläser, Maxim Dolgov, Fabian Timm

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Inferring Spatial Uncertainty in Object Detection

Mar 07, 2020
Zining Wang, Di Feng, Yiyang Zhou, Wei Zhan, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka

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

Feb 19, 2020
Lukas Enderich, Fabian Timm, Wolfram Burgard

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

Feb 01, 2020
Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer

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

Sep 26, 2019
Di Feng, Lars Rosenbaum, Claudius Glaeser, Fabian Timm, Klaus Dietmayer

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Learning Multimodal Fixed-Point Weights using Gradient Descent

Jul 16, 2019
Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard

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