Karsten Roscher

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 36

Top Topics

Robust Statistics

Person Detection

Classification Models

Top Venues

Publications

Poulami Sinhamahapatra, Franziska Schwaiger, Shirsha Bose, Huiyu Wang, Karsten Roscher, Stephan Günnemann
Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes. CoRR (2024)
Tom Haider, Karsten Roscher, Benjamin Herd, Felippe Schmoeller Roza, Simon Burton
Can you trust your Agent? The Effect of Out-of-Distribution Detection on the Safety of Reinforcement Learning Systems. SAC (2024)
Florian Geissler, Karsten Roscher, Mario Trapp
Concept-Guided LLM Agents for Human-AI Safety Codesign. AAAI Spring Symposia (2024)
Poulami Sinhamahapatra, Suprosanna Shit, Anjany Sekuboyina, Malek El Husseini, David Schinz, Nicolas Lenhart, Bjoern H. Menze, Jan Kirschke, Karsten Roscher, Stephan Günnemann
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes. CoRR (2024)
Florian Geissler, Karsten Roscher, Mario Trapp
Concept-Guided LLM Agents for Human-AI Safety Codesign. CoRR (2024)
Felippe Schmoeller Roza, Simon Hadwiger, Ingo Thon, Karsten Roscher
Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents. SafeAI@AAAI (2023)
Poulami Sinhamahapatra, Lena Heidemann, Maureen Monnet, Karsten Roscher
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models. VISIGRAPP (5: VISAPP) (2023)
Tom Haider, Karsten Roscher, Felippe Schmoeller da Roza, Stephan Günnemann
Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models. AAMAS (2023)
Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection. CoRR (2023)
Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution. AISafety/SafeRL@IJCAI (2023)
Franziska Schwaiger, Andrea Matic, Karsten Roscher, Stephan Günnemann
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework. IV (2023)
Lena Heidemann, Maureen Monnet, Karsten Roscher
Concept Correlation and Its Effects on Concept-Based Models. WACV (2023)
Franziska Schwaiger, Andrea Matic, Karsten Roscher, Stephan Günnemann
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework. CoRR (2023)
Dirk Eilers, Simon Burton, Felippe Schmoeller da Roza, Karsten Roscher
Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning. SafeAI@AAAI (2023)
Poulami Sinhamahapatra, Lena Heidemann, Maureen Monnet, Karsten Roscher
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models. CoRR (2022)
Felippe Schmoeller Roza, Hassan Rasheed, Karsten Roscher, Xiangyu Ning, Stephan Günnemann
Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning. ICMLA (2022)
Poulami Sinhamahapatra, Rajat Koner, Karsten Roscher, Stephan Günnemann
Is it all a cluster game? - Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space. SafeAI@AAAI (2022)
Poulami Sinhamahapatra, Rajat Koner, Karsten Roscher, Stephan Günnemann
Is it all a cluster game? - Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space. CoRR (2022)
Adrian Schwaiger, Kristian Schwienbacher, Karsten Roscher
Beyond Test Accuracy: The Effects of Model Compression on CNNs. SafeAI@AAAI (2022)
Lena Heidemann, Adrian Schwaiger, Karsten Roscher
Measuring Ensemble Diversity and Its Effects on Model Robustness. AISafety@IJCAI (2021)
Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp
OODformer: Out-Of-Distribution Detection Transformer. BMVC (2021)
Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp
OODformer: Out-Of-Distribution Detection Transformer. CoRR (2021)
Patrick Aichroth, Christoph Antes, Pierre Gembatzka, Holger Graf, David S. Johnson, Matthias Jung, Thomas Kämpfe, Thomas Kleinberger, Thomas Köllmer, Thomas Kuhn, Christoph Kutter, Jens Krüger, Dominik Marek Loroch, Hanna M. Lukashevich, Nellie Laleni, Lei Zhang, Johannes Leugering, Rodrigo Martín Fernández, Loreto Mateu, Shaown Mojumder, Benjamin Prautsch, Ferdinand Pscheidl, Karsten Roscher, Sören Schneickert, Frank Vanselow, Paul Wallbott, Oliver Walter, Nico Weber
SEC-Learn: Sensor Edge Cloud for Federated Learning - Invited Paper. SAMOS (2021)
Franziska Schwaiger, Maximilian Henne, Fabian Küppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff
From Black-box to White-box: Examining Confidence Calibration under different Conditions. SafeAI@AAAI (2021)
Tom Haider, Felippe Schmoeller Roza, Dirk Eilers, Karsten Roscher, Stephan Günnemann
Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments. AISafety@IJCAI (2021)
Franziska Schwaiger, Maximilian Henne, Fabian Küppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff
From Black-box to White-box: Examining Confidence Calibration under different Conditions. CoRR (2021)
Felippe Schmoeller Roza, Maximilian Henne, Karsten Roscher, Stephan Günnemann
Assessing Box Merging Strategies and Uncertainty Estimation Methods in Multimodel Object Detection. ECCV Workshops (6) (2020)
Maximilian Henne, Adrian Schwaiger, Karsten Roscher, Gereon Weiss
Benchmarking Uncertainty Estimation Methods for Deep Learning With Safety-Related Metrics. SafeAI@AAAI (2020)
Bernhard Häfner, Josef Jiru, Karsten Roscher, Jörg Ott, Georg A. Schmitt, Yagmur Sevilmis
CVIP: A Protocol for Complex Interactions Among Connected Vehicles. IV (2020)
Adrian Schwaiger, Poulami Sinhamahapatra, Jens Gansloser, Karsten Roscher
Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection? AISafety@IJCAI (2020)
Oleg Oleinichenko, Yagmur Sevilmis, Karsten Roscher, Josef Jiru
Time-controlled Neighborhood-driven Policy-based Network Selection Algorithm for Message Dissemination in Hybrid Vehicular Networks. VEHITS (2018)
Karsten Roscher, Thomas Nitsche, Rudi Knorr
Know Thy Neighbor - A Data-Driven Approach to Neighborhood Estimation in VANETs. VTC Fall (2017)
Karsten Roscher, Josef Jiru, Rudi Knorr
Low-delay forwarding with multiple candidates for VANETs using multi-criteria decision making. VNC (2016)
Sebastian Bittl, Karsten Roscher
Efficient Distribution of Certificate Chains in VANETs. ICISSP (Revised Selected Papers) (2016)
Karsten Roscher, Gerhard Maierbacher
Reliable message forwarding in VANETs for delay-sensitive applications. ISWCS (2016)
Sebastian Bittl, Karsten Roscher
Efficient Authorization Authority Certificate Distribution in VANETs. ICISSP (2016)
Sebastian Bittl, Berke Aydinli, Karsten Roscher
Effective Certificate Distribution in ETSI ITS VANETs Using Implicit and Explicit Requests. Nets4Cars/Nets4Trains/Nets4Aircraft (2015)
Sebastian Bittl, Karsten Roscher, Arturo A. Gonzalez
Security Overhead and Its Impact in VANETs. WMNC (2015)
Sebastian Bittl, Berke Aydinli, Karsten Roscher
Efficient rate-adaptive certificate distribution in VANETs. ISWCS (2015)
Sebastian Bittl, Berke Aydinli, Karsten Roscher
Distribution of Pseudonym Certificates via Bursts for VANETs with Low and Medium Mobility. WMNC (2015)
Josef Jiru, Aboobeker Sidhik Koyamparambil Mammu, Karsten Roscher
Adaptive decision algorithms for data aggregation in VANETs with defined channel load limits. Intelligent Vehicles Symposium (2015)
Torsten Steiner, Karsten Roscher, Josef Jiru
Cooperative glare reduction using V2V radio technology. WiVeC (2013)
Konstantinos Katsaros, Mehrdad Dianati, Karsten Roscher
A position-based routing module for simulation of VANETs in ns-3. SimuTools (2012)