Maarten Bieshaar

48 papers A* 1B 3C 2Journal 21Unranked 19
YearRankTypeTitle / Venue / Authors
2025 C conf
A Concept for Requirements-Driven Identification and Mitigation of Dataset Gaps for Perception Tasks in Automated Driving.
ICPRAM
Mohamed Sabry Moustafa, Maarten Bieshaar, Andreas Albrecht, Bernhard Sick
2025 — conf
Incremental Object Detection with Prompt-Based Methods.
ICCVW
Matthias Neuwirth-Trapp, Maarten Bieshaar, Danda Pani Paudel, Luc Van Gool
2025 J jnl
Incremental Object Detection with Prompt-based Methods.
CoRR
Matthias Neuwirth-Trapp, Maarten Bieshaar, Danda Pani Paudel, Luc Van Gool
2025 — conf
RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection.
ICCVW
Matthias Neuwirth-Trapp, Maarten Bieshaar, Danda Pani Paudel, Luc Van Goo
2025 J jnl
RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection.
CoRR
Matthias Neuwirth-Trapp, Maarten Bieshaar, Danda Pani Paudel, Luc Van Gool
2024 J jnl
A Safety-Adapted Loss for Pedestrian Detection in Automated Driving.
CoRR
Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar, Farzad Nozarian, Rudolph Triebel
2024 A* conf
A Safety-Adapted Loss for Pedestrian Detection in Autonomous Driving.
ICRA
Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar, Farzad Nozarian, Rudolph Triebel
2024 J jnl
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation.
CoRR
Florian Heidecker, Ahmad El-Khateeb, Maarten Bieshaar, Bernhard Sick
2023 — conf
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving.
ICCV (Workshops)
Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt
2022 — conf
A Practical Evaluation of Active Learning Approaches for Object Detection.
IAL@PKDD/ECML
Jan Schneegans, Maarten Bieshaar, Bernhard Sick
2022 B conf
Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches.
DSAA
Tobias Westmeier, Diego Botache, Maarten Bieshaar, Bernhard Sick
2022 — conf
NDNET: A Unified Framework for Anomaly and Novelty Detection.
ARCS
Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl
2022 — conf
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving.
SSCI
Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller
2022 J jnl
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving.
CoRR
Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller
2021 — conf
A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving.
IAL@PKDD/ECML
Maarten Bieshaar, Marek Herde, Denis Huseljic, Bernhard Sick
2021 C conf
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving.
IV
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
2021 J jnl
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving.
CoRR
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
2021 — —
Cooperative intention detection using machine learning: advanced cyclist protection in the context of automated driving.
Maarten Bieshaar
2021 — conf
Cyclist Motion State Forecasting - Going beyond Detection.
SSCI
Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick
2021 — conf
Description of Corner Cases in Automated Driving: Goals and Challenges.
ICCVW
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
2021 J jnl
Description of Corner Cases in Automated Driving: Goals and Challenges.
CoRR
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
2021 — conf
Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders.
CVPR Workshops
Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick
2021 J jnl
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders.
CoRR
Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick
2021 — conf
Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists.
IV Workshops
Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick
2021 — conf
Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands.
ACSOS
Diego Botache, Florian Bethke, Martin Hardieck, Maarten Bieshaar, Ludwig Brabetz, Mohamed Ayeb, Peter Zipf, Bernhard Sick
2020 J jnl
Extended Coopetitive Soft Gating Ensemble.
CoRR
Stephan Deist, Jens Schreiber, Maarten Bieshaar, Bernhard Sick
2020 — conf
Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks.
ICPR Workshops (4)
Jan Schneegans, Maarten Bieshaar, Florian Heidecker, Bernhard Sick
2020 J jnl
Knowledge Representations in Technical Systems - A Taxonomy.
CoRR
Kristina Scharei, Florian Heidecker, Maarten Bieshaar
2020 — ch.
Kooperative Absichtserkennung mittels maschineller Lernverfahren.
Ausgezeichnete Informatikdissertationen
Maarten Bieshaar
2020 J jnl
Multi-Sensor Data and Knowledge Fusion - A Proposal for a Terminology Definition.
CoRR
Silvia Beddar-Wiesing, Maarten Bieshaar
2020 J jnl
Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets.
CoRR
Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick
2020 — conf
Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks.
ICPR Workshops (4)
Florian Heidecker, Abdul Hannan, Maarten Bieshaar, Bernhard Sick
2019 — conf
Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition.
GI-Jahrestagung (Workshops)
Diego Botache, Dandan Liu, Maarten Bieshaar, Bernhard Sick
2018 B conf
Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques.
IJCNN
Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick
2018 J jnl
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble.
CoRR
Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll
2018 J jnl
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble.
IEEE Trans. Intell. Veh.
Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll
2018 — conf
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure.
ITSC
Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Erich Fuchs
2018 J jnl
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure.
CoRR
Günther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs
2018 — conf
Coopetitive Soft Gating Ensemble.
FAS*W@SASO/ICAC
Jens Schreiber, Maarten Bieshaar, Andre Gensler, Bernhard Sick, Stephan Deist
2018 J jnl
Coopetitive Soft Gating Ensemble.
CoRR
Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick
2018 J jnl
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence.
CoRR
Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll
2018 J jnl
Highly Automated Learning for Improved Active Safety of Vulnerable Road Users.
CoRR
Maarten Bieshaar, Günther Reitberger, Viktor Kreß, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick
2018 J jnl
Smart Device based Initial Movement Detection of Cyclists using Convolutional Neuronal Networks.
CoRR
Jan Schneegans, Maarten Bieshaar
2018 B conf
Starting Movement Detection of Cyclists Using Smart Devices.
DSAA
Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick
2018 J jnl
Starting Movement Detection of Cyclists Using Smart Devices.
CoRR
Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick
2018 J jnl
Where is my Device? - Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users.
CoRR
Maarten Bieshaar
2017 — conf
Cooperative starting intention detection of cyclists based on smart devices and infrastructure.
ITSC
Maarten Bieshaar, Stefan Zernetsch, Malte Depping, Bernhard Sick, Konrad Doll
2017 — conf
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks.
SSCI
Jan Eilbrecht, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Olaf Stursberg