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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

* preprint, under review 

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Holistic Filter Pruning for Efficient Deep Neural Networks


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

* preprint, accepted at WACV2021 

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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

* A shorter version of this work is to appear at the Workshop on Perception for Autonomous Driving, 16th European Conference on Computer Vision (ECCV) 2020. Video to this work https://youtu.be/m05HnYietSk 

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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

* 6 pages, preprint 

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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

* Preprint submitted to Neurocomputing 

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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

* To appear in IROS 2019 

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Learning Multimodal Fixed-Point Weights using Gradient Descent


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

* https://www.elen.ucl.ac.be/esann/proceedings/papers.php?ann=2019 
* presented at ESANN 2019 (European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning) 

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


Feb 03, 2019
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer


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