B. Sick

Most-cited papers

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
Nicolas Scheiner, Florian Kraus, Fang Wei, Buu Phan +7 more
2019Computer Vision and Pattern Recognition173 citations Open access
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Object detection for automotive radar point clouds – a comparison
Nicolas Scheiner, Florian Kraus, N. Appenrodt, J. Dickmann +1 more
2021AI Perspectives74 citations Open access
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Description of Corner Cases in Automated Driving: Goals and Challenges
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar +3 more
20212021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)72 citations Open access
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An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink +4 more
20212021 IEEE Intelligent Vehicles Symposium (IV)59 citations Open access
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CLeaR: An adaptive continual learning framework for regression tasks
Yujiang He, B. Sick
2021AI Perspectives53 citations Open access
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A Multi-Stage Clustering Framework for Automotive Radar Data
Nicolas Scheiner, N. Appenrodt, J. Dickmann, B. Sick
2019International Conference on Intelligent Transportation Systems43 citations Open access
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Novelty detection in continuously changing environments
Christian Gruhl, B. Sick, Sven Tomforde
2021Future generations computer systems41 citations
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Radar-based Feature Design and Multiclass Classification for Road User Recognition
Nicolas Scheiner, N. Appenrodt, J. Dickmann, B. Sick
20182018 IEEE Intelligent Vehicles Symposium (IV)40 citations Open access
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Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles
Nicolas Scheiner, N. Appenrodt, J. Dickmann, B. Sick
20192019 IEEE Intelligent Vehicles Symposium (IV)38 citations Open access
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Model selection, adaptation, and combination for transfer learning in wind and photovoltaic power forecasts
Jens Schreiber, B. Sick
2022Energy and AI35 citations Open access
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A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
M. Herde, Denis Huseljic, B. Sick, A. Calma
2021IEEE Access34 citations Open access
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Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks
Denis Huseljic, B. Sick, M. Herde, D. Kottke
2021International Conference on Pattern Recognition32 citations
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Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders
F. Möller, Diego Botache, Denis Huseljic, Florian Heidecker +2 more
20212021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)30 citations Open access
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Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble
Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, B. Sick +1 more
2018IEEE Transactions on Intelligent Vehicles30 citations Open access
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Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification?
Nicolas Scheiner, Ole Schumann, Florian Kraus, N. Appenrodt +2 more
2020Fusion28 citations Open access
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Toward optimal probabilistic active learning using a Bayesian approach
D. Kottke, M. Herde, Christoph Sandrock, Denis Huseljic +2 more
2020Machine-mediated learning24 citations Open access
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ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
Lukas Rauch, M. Aßenmacher, Denis Huseljic, Moritz Wirth +2 more
2023ECML/PKDD22 citations Open access
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scikit-activeml: A Library and Toolbox for Active Learning Algorithms
D. Kottke, M. Herde, Minh Tuan Pham, Alexander Benz +4 more
202122 citations Open access
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Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks
Florian Heidecker, Abdul Hannan, Maarten Bieshaar, B. Sick
2020ICPR Workshops21 citations
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Multi-annotator Deep Learning: A Probabilistic Framework for Classification
M. Herde, Denis Huseljic, B. Sick
2023Trans. Mach. Learn. Res.20 citations Open access
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About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous Driving
Matthias Reuse, Martin Simon, B. Sick
20212021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)20 citations
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Continuous Learning of Deep Neural Networks to Improve Forecasts for Regional Energy Markets
Yujiang He, Janosch Henze, B. Sick
202019 citations Open access
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Stream-based active learning for sliding windows under the influence of verification latency
Minh Tuan Pham, D. Kottke, G. Krempl, B. Sick
2021Machine-mediated learning17 citations Open access
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Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks
Stefan Zernetsch, H. Reichert, Viktor Kress, Konrad Doll +1 more
20192019 IEEE Intelligent Vehicles Symposium (IV)16 citations
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Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders
Abdul Hannan, Christian Gruhl, B. Sick
2021Computer Science Symposium in Russia15 citations
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Emerging Relation Network and Task Embedding for Multi-Task Regression Problems
Jens Schreiber, B. Sick
2020International Conference on Pattern Recognition15 citations Open access
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Limitations of Assessing Active Learning Performance at Runtime
D. Kottke, Jim Schellinger, Denis Huseljic, B. Sick
2019arXiv.org15 citations
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Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic
Jens Schreiber, Maik Jessulat, B. Sick
2019International Conference on Artificial Neural Networks15 citations Open access
Semantic Scholar
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users’ Trajectories
Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll +1 more
2021IEEE Transactions on Intelligent Vehicles14 citations Open access
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Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol +4 more
2022IEEE Symposium Series on Computational Intelligence13 citations
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Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning
Christian Haase-Schuetz, Rainer Stal, Heinz Hertlein, B. Sick
2020International Conference on Pattern Recognition13 citations Open access
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Probabilistic upscaling and aggregation of wind power forecasts
Janosch Henze, M. Siefert, Sascha Bremicker-Trübelhorn, N. Asanalieva +1 more
202012 citations Open access
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Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS
Nicolas Scheiner, N. Appenrodt, J. Dickmann, B. Sick
20192019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)12 citations Open access
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Pose Based Start Intention Detection of Cyclists
Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll +1 more
2019International Conference on Intelligent Transportation Systems12 citations
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Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast
Jens Schreiber, S. Vogt, B. Sick
2022ECML/PKDD11 citations Open access
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Collaborative Interactive Learning - A clarification of terms and a differentiation from other research fields
Tom Hanika, M. Herde, Jochen Kuhn, J. Leimeister +7 more
2019arXiv.org10 citations
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Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks
Yujiang He, Janosch Henze, B. Sick
2020IEEE International Joint Conference on Neural Network9 citations
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Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers
Lukas Rauch, Raphael Schwinger, Moritz Wirth, B. Sick +2 more
2023arXiv.org8 citations Open access
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Multi-Task Autoencoders and Transfer Learning for Day-Ahead Wind and Photovoltaic Power Forecasts
Jens Schreiber, B. Sick
2022Energies8 citations Open access
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Probabilistic Active Learning for Active Class Selection
D. Kottke, G. Krempl, Marianne Stecklina, Cornelius Styp von Rekowski +5 more
2021arXiv.org8 citations
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Multi-Annotator Probabilistic Active Learning
M. Herde, D. Kottke, Denis Huseljic, B. Sick
2021International Conference on Pattern Recognition8 citations
Semantic Scholar
Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models
Jens Schreiber, Artjom Buschin, B. Sick
2019GI-Jahrestagung8 citations
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Representation Learning in Power Time Series Forecasting
Janosch Henze, Jens Schreiber, B. Sick
2019Deep Learning: Algorithms and Applications8 citations
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Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure
Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll +2 more
2018International Conference on Intelligent Transportation Systems8 citations Open access
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Context-aware recommendations for extended electric vehicle battery lifetime
M. Eider, B. Sick, A. Berl
2023Sustainable Computing: Informatics and Systems7 citations Open access
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The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset
M. Hetzel, H. Reichert, Günther Reitberger, E. Fuchs +2 more
20232023 IEEE Intelligent Vehicles Symposium (IV)7 citations
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A Holistic View on Probabilistic Trajectory Forecasting – Case Study. Cyclist Intention Detection
Stefan Zernetsch, H. Reichert, Viktor Kress, Konrad Doll +1 more
20222022 IEEE Intelligent Vehicles Symposium (IV)7 citations
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Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario
Christian Krupitzer, Christian Gruhl, B. Sick, Sven Tomforde
2022Information and Software Technology7 citations
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Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information
Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll +1 more
20212021 IEEE International Smart Cities Conference (ISC2)7 citations Open access
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Toward Application of Continuous Power Forecasts in a Regional Flexibility Market
Yujiang He, Zhixin Huang, B. Sick
2021IEEE International Joint Conference on Neural Network7 citations
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