Karsten Roscher

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Stephan GünnemannProfessor of Computer Science, Technical University of MunichAdresse e-mail validée de in.tum.de
Felippe Schmoeller RozaResearch EngineerAdresse e-mail validée de posgrad.ufsc.br
Josef JiruFraunhofer IKSAdresse e-mail validée de iks.fraunhofer.de
Poulami SinhamahapatraAI Research Engineer at Fraunhofer IKSAdresse e-mail validée de iks.fraunhofer.de
Adrian Schwaigerpiur imaging GmbHAdresse e-mail validée de piurimaging.com
Arturo GonzálezRohde & SchwarzAdresse e-mail validée de rohde-schwarz.com
Lena HeidemannFraunhofer IKSAdresse e-mail validée de iks.fraunhofer.de
Tom HaiderFraunhofer IKSAdresse e-mail validée de iks.fraunhofer.de
Maureen MonnetFraunhofer IKSAdresse e-mail validée de iks.fraunhofer.de
Simon BurtonUniversity of YorkAdresse e-mail validée de york.ac.uk
Nicola FrancoResearch Scientist, Fraunhofer Institute for Cognitive Systems IKSAdresse e-mail validée de iks.fraunhofer.de
Jeanette LorenzHead of Department @ Fraunhofer IKS, Munich || Associate ProfessorAdresse e-mail validée de iks.fraunhofer.de
Xiangyu NingTechnical University of MunichAdresse e-mail validée de mytum.de
Daniel KorthStudentAdresse e-mail validée de in.tum.de
Shirsha BoseTechnical University of MunichAdresse e-mail validée de tum.de
Gerhard MaierbacherResearch EngineerAdresse e-mail validée de esk.fraunhofer.de
Mario TrappFraunhoferAdresse e-mail validée de iks.fraunhofer.de
Florian GeisslerIntelAdresse e-mail validée de intel.com
Huiyu WangTechnical University of MunichAdresse e-mail validée de tum.de
Benjamin HerdFraunhofer Institute for Cognitive SystemsAdresse e-mail validée de iks.fraunhofer.de

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Karsten Roscher

Researcher, Fraunhofer IKS

Adresse e-mail validée de iks.fraunhofer.de

Machine Learning Computer Vision Safe AI Trustworthy AI Computer Science


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Benchmarking Uncertainty Estimation Methods for Deep Learning With Safety-Related Metrics. M Henne, A Schwaiger, K Roscher, G Weiss SafeAI@ AAAI, 83-90, 2020	81	2020
OODformer: Out-Of-Distribution Detection Transformer R Koner, P Sinhamahapatra, K Roscher, S Günnemann, V Tresp arXiv preprint arXiv:2107.08976, 2021	62	2021
Is uncertainty quantification in deep learning sufficient for out-of-distribution detection? A Schwaiger, P Sinhamahapatra, J Gansloser, K Roscher Aisafety@ ijcai 54, 2020	49	2020
ezCar2X: rapid-prototyping of communication technologies and cooperative its applications on real targets and inside simulation environments K Roscher, S Bittl, AA Gonzalez, M Myrtus, J Jiru 11th Conference Wireless Communication and Information, 51-62, 2014	40	2014
Deutsche Normungsroadmap Künstliche Intelligenz R Adler, A Bunte, S Burton, J Großmann, A Jaschke, P Kleen, JM Lorenz, ... DIN, 2022	29	2022
CVIP: A Protocol for Complex Interactions Among Connected Vehicles B Häfner, J Jiru, K Roscher, J Ott, GA Schmitt, Y Sevilmis 2020 IEEE Intelligent Vehicles Symposium (IV), 510-515, 2020	26	2020
Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models T Haider, K Roscher, F Schmoeller da Roza, S Günnemann Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023	20	2023
From Black-box to White-box: Examining Confidence Calibration under different Conditions F Schwaiger, M Henne, F Küppers, FS Roza, K Roscher, A Haselhoff arXiv preprint arXiv:2101.02971, 2021	18	2021
Concept Correlation and Its Effects on Concept-Based Models L Heidemann, M Monnet, K Roscher Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023	16	2023
Security overhead and its impact in VANETs S Bittl, K Roscher, AA Gonzalez 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC), 192-199, 2015	16	2015
A position-based routing module for simulation of VANETs in ns-3. K Katsaros, M Dianati, K Roscher SimuTools, 345-352, 2012	16	2012
Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments. T Haider, FS Roza, D Eilers, K Roscher, S Günnemann AISafety@ IJCAI, 2021	15	2021
Forwarding in vanets: Geonetworking A Tomatis, H Menouar, K Roscher Vehicular ad hoc Networks: Standards, Solutions, and Research, 221-251, 2015	15	2015
Effective certificate distribution in ETSI ITS VANETs using implicit and explicit requests S Bittl, B Aydinli, K Roscher Communication Technologies for Vehicles: 8th International Workshop …, 2015	12	2015
Measuring Ensemble Diversity and Its Effects on Model Robustness. L Heidemann, A Schwaiger, K Roscher AISafety@ IJCAI, 2021	7	2021
ezCar2X: a modular software framework for rapid prototyping of C2X applications K Roscher, J Jiru, AA Gonzalez, WA Heidrich 9th ITS European Congress, 2013	7	2013
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models P Sinhamahapatra, L Heidemann, M Monnet, K Roscher arXiv preprint arXiv:2211.12173, 2022	6	2022
Know Thy Neighbor-A Data-Driven Approach to Neighborhood Estimation in VANETs K Roscher, T Nitsche, R Knorr 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 1-5, 2017	6	2017
Low-delay forwarding with multiple candidates for VANETs using multi-criteria decision making K Roscher, J Jiru, R Knorr 2016 IEEE Vehicular Networking Conference (VNC), 1-8, 2016	6	2016
Beyond Test Accuracy: The Effects of Model Compression on CNNs. A Schwaiger, K Schwienbacher, K Roscher SafeAI@ AAAI, 2022	5	2022

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