Maarten Bieshaar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 41

Top Topics

Quantile Regression

Neuronal Networks

Autonomous Driving

Human Activity Recognition

Top Venues

ICPR Workshops (4)

Publications

Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar, Farzad Nozarian, Rudolph Triebel
A Safety-Adapted Loss for Pedestrian Detection in Autonomous Driving. ICRA (2024)
Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar, Farzad Nozarian, Rudolph Triebel
A Safety-Adapted Loss for Pedestrian Detection in Automated Driving. CoRR (2024)
Florian Heidecker, Ahmad El-Khateeb, Maarten Bieshaar, Bernhard Sick
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation. CoRR (2024)
Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. ICCV (Workshops) (2023)
Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. CoRR (2022)
Tobias Westmeier, Diego Botache, Maarten Bieshaar, Bernhard Sick
Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches. DSAA (2022)
Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. SSCI (2022)
Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl
NDNET: A Unified Framework for Anomaly and Novelty Detection. ARCS (2022)
Jan Schneegans, Maarten Bieshaar, Bernhard Sick
A Practical Evaluation of Active Learning Approaches for Object Detection. IAL@PKDD/ECML (2022)
Diego Botache, Florian Bethke, Martin Hardieck, Maarten Bieshaar, Ludwig Brabetz, Mohamed Ayeb, Peter Zipf, Bernhard Sick
Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands. ACSOS (2021)
Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick
Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders. CVPR Workshops (2021)
Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick
Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists. IV Workshops (2021)
Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders. CoRR (2021)
Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick
Cyclist Motion State Forecasting - Going beyond Detection. SSCI (2021)
Maarten Bieshaar, Marek Herde, Denis Huseljic, Bernhard Sick
A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving. IAL@PKDD/ECML (2021)
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. CoRR (2021)
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. IV (2021)
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
Description of Corner Cases in Automated Driving: Goals and Challenges. ICCVW (2021)
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
Description of Corner Cases in Automated Driving: Goals and Challenges. CoRR (2021)
Jan Schneegans, Maarten Bieshaar, Florian Heidecker, Bernhard Sick
Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks. ICPR Workshops (4) (2020)
Stephan Deist, Jens Schreiber, Maarten Bieshaar, Bernhard Sick
Extended Coopetitive Soft Gating Ensemble. CoRR (2020)
Florian Heidecker, Abdul Hannan, Maarten Bieshaar, Bernhard Sick
Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks. ICPR Workshops (4) (2020)
Silvia Beddar-Wiesing, Maarten Bieshaar
Multi-Sensor Data and Knowledge Fusion - A Proposal for a Terminology Definition. CoRR (2020)
Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick
Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets. CoRR (2020)
Kristina Scharei, Florian Heidecker, Maarten Bieshaar
Knowledge Representations in Technical Systems - A Taxonomy. CoRR (2020)
Diego Botache, Dandan Liu, Maarten Bieshaar, Bernhard Sick
Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition. GI-Jahrestagung (Workshops) (2019)
Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick
Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. IJCNN (2018)
Günther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. CoRR (2018)
Maarten Bieshaar
Where is my Device? - Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users. CoRR (2018)
Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick
Starting Movement Detection of Cyclists Using Smart Devices. CoRR (2018)
Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick
Starting Movement Detection of Cyclists Using Smart Devices. DSAA (2018)
Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Erich Fuchs
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. ITSC (2018)
Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. CoRR (2018)
Maarten Bieshaar, Günther Reitberger, Viktor Kreß, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick
Highly Automated Learning for Improved Active Safety of Vulnerable Road Users. CoRR (2018)
Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick
Coopetitive Soft Gating Ensemble. CoRR (2018)
Jens Schreiber, Maarten Bieshaar, Andre Gensler, Bernhard Sick, Stephan Deist
Coopetitive Soft Gating Ensemble. FAS*W@SASO/ICAC (2018)
Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. IEEE Trans. Intell. Veh. 3 (4) (2018)
Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. CoRR (2018)
Jan Schneegans, Maarten Bieshaar
Smart Device based Initial Movement Detection of Cyclists using Convolutional Neuronal Networks. CoRR (2018)
Jan Eilbrecht, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Olaf Stursberg
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks. SSCI (2017)
Maarten Bieshaar, Stefan Zernetsch, Malte Depping, Bernhard Sick, Konrad Doll
Cooperative starting intention detection of cyclists based on smart devices and infrastructure. ITSC (2017)