Hanno Gottschalk

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 81

Top Topics

Semantic Segmentation

Top Venues

J. Optim. Theory Appl.

Publications

Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. VISIGRAPP (2): VISAPP (2024)
Youssef Shoeb, R. Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. WACV (2024)
Laura Fieback, Jakob Spiegelberg, Hanno Gottschalk
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification. CoRR (2024)
Nihal Acharya Adde, Hanno Gottschalk, Andreas Ebert
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning. CoRR (2024)
Daniel Bogdoll, Iramm Hamdard, Lukas Namgyu Rößler, Felix Geisler, Muhammed Bayram, Felix Wang, Jan Imhof, Miguel de Campos, Anushervon Tabarov, Yitian Yang, Hanno Gottschalk, J. Marius Zöllner
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving. CoRR (2024)
Kamil Kowol, Stefan Bracke, Hanno Gottschalk
survAIval: Survival Analysis with the Eyes of AI. CoRR (2023)
Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier, Hanno Gottschalk
Detecting Novelties with Empty Classes. CoRR (2023)
Christoph Hümmer, Manuel Schwonberg, Liangwei Zhong, Hu Cao, Alois Knoll, Hanno Gottschalk
VLTSeg: Simple Transfer of CLIP-Based Vision-Language Representations for Domain Generalized Semantic Segmentation. CoRR (2023)
Hayk Asatryan, Daniela Gaul, Hanno Gottschalk, Kathrin Klamroth, Michael Stiglmayr
Ridepooling and public bus services: A comparative case-study. CoRR (2023)
Laura Fieback, Bidya Dash, Jakob Spiegelberg, Hanno Gottschalk
Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks. AALTD@ECML/PKDD (2023)
Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk
Augmentation-based Domain Generalization for Semantic Segmentation. CoRR (2023)
Annika Mütze, Matthias Rottmann, Hanno Gottschalk
Semi-Supervised Domain Adaptation with CycleGAN Guided by Downstream Task Awareness. VISIGRAPP (5: VISAPP) (2023)
Tobias Riedlinger, Matthias Rottmann, Marius Schubert, Hanno Gottschalk
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors. WACV (2023)
Robin Chan, Sarina Penquitt, Hanno Gottschalk
LU-Net: Invertible Neural Networks Based on Matrix Factorization. IJCNN (2023)
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. CoRR (2023)
Robin Chan, Sarina Penquitt, Hanno Gottschalk
LU-Net: Invertible Neural Networks Based on Matrix Factorization. CoRR (2023)
Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk
Augmentation-based Domain Generalization for Semantic Segmentation. IV (2023)
Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
Prediction Quality Meta Regression and Error Meta Classification for Segmented Lidar Point Clouds. Int. J. Artif. Intell. Tools 32 (5) (2023)
Julian Burghoff, Marc Heinrich Monells, Hanno Gottschalk
Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics. CoRR (2023)
Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. CoRR (2023)
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. IEEE Access 11 (2023)
Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
What should AI see? Using the public's opinion to determine the perception of an AI. AI Ethics 3 (4) (2023)
Matthias Bolten, Onur Tanil Doganay, Hanno Gottschalk, Kathrin Klamroth
Non-convex shape optimization by dissipative Hamiltonian flows. CoRR (2023)
Julian Burghoff, Matthias Rottmann, Jill von Conta, Sebastian Schoenen, Andreas Witte, Hanno Gottschalk
ResBuilder: Automated Learning of Depth with Residual Structures. CoRR (2023)
Julian Burghoff, Leonhard Ackermann, Younes Salahdine, Veronika Bram, Katharina Wunderlich, Julius Balkenhol, Thomas Dirschka, Hanno Gottschalk
Risk stratification of malignant melanoma using neural networks. CoRR (2023)
Claudia Drygala, Francesca di Mare, Hanno Gottschalk
Generalization capabilities of conditional GAN for turbulent flow under changes of geometry. CoRR (2023)
Matthias Rottmann, Kira Maag, Mathis Peyron, Hanno Gottschalk, Natasa Krejic
Detection of Iterative Adversarial Attacks via Counter Attack. J. Optim. Theory Appl. 198 (3) (2023)
Patrick Krüger, Hanno Gottschalk
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group. CoRR (2023)
Laura Fieback, Bidya Dash, Jakob Spiegelberg, Hanno Gottschalk
Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks. CoRR (2023)
Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. ACCV (5) (2022)
Julian Burghoff, Robin Chan, Hanno Gottschalk, Annika Mütze, Tobias Riedlinger, Matthias Rottmann, Marius Schubert
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning. CoRR (2022)
Robin Chan, Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
Detecting and Learning the Unknown in Semantic Segmentation. CoRR (2022)
Annika Mütze, Matthias Rottmann, Hanno Gottschalk
Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss. CoRR (2022)
Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. CoRR (2022)
Kamil Kowol, Stefan Bracke, Hanno Gottschalk
A-Eye: Driving with the Eyes of AI for Corner Case Generation. CHIRA (2022)
Kamil Kowol, Stefan Bracke, Hanno Gottschalk
survAIval: Survival Analysis with the Eyes of AI. CHIRA (Revised Selected Papers) (2022)
Kamil Kowol, Stefan Bracke, Hanno Gottschalk
A-Eye: Driving with the Eyes of AI for Corner Case Generation. CoRR (2022)
Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
Towards Unsupervised Open World Semantic Segmentation. CoRR (2022)
Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
What should AI see? Using the Public's Opinion to Determine the Perception of an AI. CoRR (2022)
Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
Towards unsupervised open world semantic segmentation. UAI (2022)
Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. CoRR (2022)
Hanno Gottschalk, Matthias Rottmann, Maida Saltagic
Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance? CoRR (2021)
Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps. ICPRAM (2021)
Matthias Bolten, Onur Tanil Doganay, Hanno Gottschalk, Kathrin Klamroth
Tracing Locally Pareto-Optimal Points by Numerical Integration. SIAM J. Control. Optim. 59 (5) (2021)
Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. ICTAI (2021)
Kamil Kowol, Matthias Rottmann, Stefan Bracke, Hanno Gottschalk
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors. ICAART (2) (2021)
Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. CoRR (2021)
Kira Maag, Matthias Rottmann, Serin Varghese, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. IJCNN (2021)
Claudia Drygala, Matthias Rottmann, Hanno Gottschalk, Klaus Friedrichs, Thomas Kurbiel
Background-Foreground Segmentation for Interior Sensing in Automotive Industry. CoRR (2021)
Tobias Riedlinger, Matthias Rottmann, Marius Schubert, Hanno Gottschalk
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors. CoRR (2021)
Robin Chan, Matthias Rottmann, Hanno Gottschalk
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation. ICCV (2021)
Hanno Gottschalk, Marco Reese
An Analytical Study in Multi-physics and Multi-criteria Shape Optimization. J. Optim. Theory Appl. 189 (2) (2021)
Martin Friesen, Hanno Gottschalk, Barbara Rüdiger, Antoine Tordeux
Spontaneous Wave Formation in Stochastic Self-Driven Particle Systems. SIAM J. Appl. Math. 81 (3) (2021)
Claudia Drygala, Benjamin Winhart, Francesca di Mare, Hanno Gottschalk
Generative Modeling of Turbulence. CoRR (2021)
Kira Maag, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. CoRR (2020)
Jan Backhaus, Matthias Bolten, Onur Tanil Doganay, Matthias Ehrhardt, Benedikt Engel, Christian Frey, Hanno Gottschalk, Michael Günther, Camilla Hahn, Jens Jäschke, Peter Jaksch, Kathrin Klamroth, Alexander Liefke, Daniel Luft, Lucas Mäde, Vincent Marciniak, Marco Reese, Johanna Schultes, Volker Schulz, Sebastian Schmitz, Johannes Steiner, Michael Stiglmayr
GivEn - Shape Optimization for Gas Turbines in Volatile Energy Networks. CoRR (2020)
Hayk Asatryan, Hanno Gottschalk, Marieke Lippert, Matthias Rottmann
A Convenient Infinite Dimensional Framework for Generative Adversarial Learning. CoRR (2020)
Matthias Rottmann, Mathis Peyron, Natasa Krejic, Hanno Gottschalk
Detection of Iterative Adversarial Attacks via Counter Attack. CoRR (2020)
Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. IJCNN (2020)
Kira Maag, Matthias Rottmann, Hanno Gottschalk
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. ICTAI (2020)
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. IJCNN (2020)
Hanno Gottschalk, Karsten Kahl
Coarsening in Algebraic Multigrid using Gaussian Processes. CoRR (2020)
Robin Chan, Matthias Rottmann, Hanno Gottschalk
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation. CoRR (2020)
Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps. CoRR (2020)
Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Detection of False Positive and False Negative Samples in Semantic Segmentation. DATE (2020)
Matthias Bolten, Onur Tanil Doganay, Hanno Gottschalk, Kathrin Klamroth
Tracing locally Pareto optimal points by numerical integration. CoRR (2020)
Kamil Kowol, Matthias Rottmann, Stefan Bracke, Hanno Gottschalk
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors. CoRR (2020)
Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation. CVPR Workshops (2019)
Matthias Bolten, Hanno Gottschalk, Camilla Hahn, Mohamed Saadi
Numerical shape optimization to decrease failure probability of ceramic structures. Comput. Vis. Sci. 21 (1-6) (2019)
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation. CoRR (2019)
Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation. CoRR (2019)
Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Detection of False Positive and False Negative Samples in Semantic Segmentation. CoRR (2019)
Alexander Liefke, Vincent Marciniak, Uwe Janoske, Hanno Gottschalk
Using adjoint CFD to quantify the impact of manufacturing variations on a heavy duty turbine vane. CoRR (2019)
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation. CoRR (2019)
Kira Maag, Matthias Rottmann, Hanno Gottschalk
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. CoRR (2019)
Mario Annunziato, Hanno Gottschalk
Calibration of léVY Processes using Optimal control of Kolmogorov equations with periodic boundary conditions. Math. Model. Anal. 23 (3) (2018)
Matthias Rottmann, Karsten Kahl, Hanno Gottschalk
Deep Bayesian Active Semi-Supervised Learning. CoRR (2018)
Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. CoRR (2018)
Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk
Classification Uncertainty of Deep Neural Networks Based on Gradient Information. CoRR (2018)
Matthias Rottmann, Karsten Kahl, Hanno Gottschalk
Deep Bayesian Active Semi-Supervised Learning. ICMLA (2018)
Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk
Classification Uncertainty of Deep Neural Networks Based on Gradient Information. ANNPR (2018)
Matthias Bolten, Hanno Gottschalk, Sebastian Schmitz
Minimal Failure Probability for Ceramic Design Via Shape Control. J. Optim. Theory Appl. 166 (3) (2015)
Hanno Gottschalk, Sebastian Schmitz
Optimal Reliability in Design for Fatigue Life. SIAM J. Control. Optim. 52 (5) (2014)