Lars Rosenbaum

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 23

Top Venues

CoRR

J. Cheminformatics

IEEE Trans. Intell. Transp. Syst.

Eberhard Karls University of Tübingen (PHD)

Education History

Eberhard Karls University of Tübingen

PHD

Publications

Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zoellner
Unscented Autoencoder. ICML (2023)
Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zöllner
Unscented Autoencoder. CoRR (2023)
Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars. IROS (2022)
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) (2022)
Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars. CoRR (2022)
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) (2021)
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 (2020)
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty. CoRR (2020)
Zining Wang, Di Feng, Yiyang Zhou, Wei Zhan, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka
Inferring Spatial Uncertainty in Object Detection. CoRR (2020)
Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving. CoRR (2020)
Zining Wang, Di Feng, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan
Inferring Spatial Uncertainty in Object Detection. IROS (2020)
Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving. IV (2020)
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 (2019)
Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard
Learning multimodal fixed-point weights using gradient descent. ESANN (2019)
Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard
Learning Multimodal Fixed-Point Weights using Gradient Descent. CoRR (2019)
Di Feng, Xiao Wei, Lars Rosenbaum, Atsuto Maki, Klaus Dietmayer
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector. IV (2019)
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection. IV (2019)
Di Feng, Xiao Wei, Lars Rosenbaum, Atsuto Maki, Klaus Dietmayer
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector. CoRR (2019)
Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Fabian Duffhauss, Claudius Gläser, Werner Wiesbeck, Klaus Dietmayer
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges. CoRR (2019)
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection. CoRR (2018)
Di Feng, Lars Rosenbaum, Klaus Dietmayer
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection. ITSC (2018)
Di Feng, Lars Rosenbaum, Klaus Dietmayer
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection. CoRR (2018)
Alexander Dörr, Lars Rosenbaum, Andreas Zell
A ranking method for the concurrent learning of compounds with various activity profiles. J. Cheminformatics 7 (2015)
Lars Rosenbaum, Alexander Dörr, Matthias R. Bauer, Frank M. Boeckler, Andreas Zell
Inferring multi-target QSAR models with taxonomy-based multi-task learning. J. Cheminformatics 5 (2013)
Lars Rosenbaum, Andreas Jahn, Alexander Dörr, Andreas Zell
Optimization and visualization of the edge weights in optimal assignment methods for virtual screening. BioData Min. 6 (2013)
Lars Rosenbaum, Andreas Jahn, Andreas Zell
Optimizing the Edge Weights in Optimal Assignment Methods for Virtual Screening with Particle Swarm Optimization. EvoBIO (2012)
Georg Hinselmann, Lars Rosenbaum, Andreas Jahn, Andreas Zell
Fast Data Mining with Sparse Chemical Graph Fingerprints by Estimating the Probability of Unique Patterns. ESANN (2011)
Lars Rosenbaum, Georg Hinselmann, Andreas Jahn, Andreas Zell
Interpreting linear support vector machine models with heat map molecule coloring. J. Cheminformatics 3 (2011)
Georg Hinselmann, Lars Rosenbaum, Andreas Jahn, Nikolas Fechner, Claude Ostermann, Andreas Zell
Large-Scale Learning of Structure-Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics. J. Chem. Inf. Model. 51 (2) (2011)
Georg Hinselmann, Lars Rosenbaum, Andreas Jahn, Nikolas Fechner, Andreas Zell
jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints. J. Cheminformatics 3 (2011)
Georg Hinselmann, Andreas Jahn, Nikolas Fechner, Lars Rosenbaum, Andreas Zell
Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysis. EvoBio (2011)
Andreas Jahn, Lars Rosenbaum, Georg Hinselmann, Andreas Zell
4D Flexible Atom-Pairs: An efficient probabilistic conformational space comparison for ligand-based virtual screening. J. Cheminformatics 3 (2011)

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Publication Activity (10 Years)

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Lars Rosenbaum