Julian Schmidt

According to our database, Julian Schmidt authored at least 30 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MASAR: Motion-Appearance Synergy Refinement for Joint Detection and Trajectory Forecasting.

Mohammed Amine Bencheikh Lehocine, Julian Schmidt, Frank Moosmann, Dikshant Gupta, Fabian Flohr

CoRR, February, 2026

2025

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation.

Chun-Peng Chang, Chen-Yu Wang, Julian Schmidt, Holger Caesar, Alain Pagani

CoRR, August, 2025

H&E-based MSI/MMR testing with AI in colorectal cancer: a multi-centred blinded evaluation.

Cher Bass, Foivos Ntelemis, Julian Schmidt, Steffen Wolf, André Geraldes, Debapriya Mehrotra, Shikha Singhal, Narender Kumar, Angelica Marcia, Nicholas Bennett, Oscar Maiques, Mitchell Hyde, Bejal Mistry, Grace Rogerson, Michele Cummings, Clare Freer, Elizabeth Walsh, Manuel Salto-Tellez, Maurice B. Loughrey, In Hwa Um, David J. Harrison, Richard Clarkson, James Blackwood, J. Carl Barrett, Jakob Nikolas Kather, Nicolas M. Orsi, Pahini Pandya, Salim Arslan

npj Digit. Medicine, 2025

Safety and Reliability: Validation for Automated Driving Functions through Scenario-Based Testing.

Naya Baslan, Alexander Kerschl, Julian Schmidt, Dirk Pflüger

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

HYPE: Hybrid Planning with Ego Proposal-Conditioned Predictions.

Hang Yu, Julian Jordan, Julian Schmidt, Silvan Lindner, Alessandro Canevaro, Wilhelm Stork

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction.

Sajad Marvi, Christoph Rist, Julian Schmidt, Julian Jordan, Abhinav Valada

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Advancing Out-of-Distribution Detection via Local Neuroplasticity.

Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Behavior prediction for autonomous driving using graph neural networks.

Julian Schmidt

PhD thesis, 2024

Behavior prediction for autonomous driving using graph neural networks.

Julian Schmidt

PhD thesis, 2024

Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations.

Michael Kurenkov, Sajad Marvi, Julian Schmidt, Christoph B. Rist, Alessandro Canevaro, Hang Yu, Julian Jordan, Georg Schildbach, Abhinav Valada

CoRR, 2024

Advancements in UWB: Paving the Way for Sovereign Data Networks in Healthcare Facilities.

Khan Reaz, Thibaud Ardoin, Lea R. Muth, Marian Margraf, Gerhard Wunder, Mahsa Kholghi, Kai Jansen, Christian T. Zenger, Julian Schmidt, Enrico Köppe, Zoran Utkovski, Igor Bjelakovic, Mathis Schmieder, Olaf Dressel

Proceedings of the 2nd International Workshop on Networked AI Systems, 2024

2023

SCENE: Reasoning About Traffic Scenes Using Heterogeneous Graph Neural Networks.

Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer

IEEE Robotics Autom. Lett., March, 2023

LMR: Lane Distance-Based Metric for Trajectory Prediction.

Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction.

Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction.

Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis

IROS, 2023

Exploring Navigation Maps for Learning-Based Motion Prediction.

Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Taxonomy of Violations in Digital Asset Markets.

Benjamin Clapham, Jenny Jakobs, Julian Schmidt, Peter Gomber, Jan Muntermann

Proceedings of the 44th International Conference on Information Systems, 2023

Demonstration of Opticoms Portable 5G Network with NC-Systems Positioning Solution for Mission Critical Applications.

Syed Adil Abbas Kazmi, Kerim Agdaci, Stefan Richter, Enrico Köppe, Julian Schmidt

Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

2022

CERVI: collaborative editing of raster and vector images.

Ulrike Bath, Sumit Shekhar, Julian Egbert, Julian Schmidt, Amir Semmo, Jürgen Döllner, Matthias Trapp

Vis. Comput., 2022

MEAT: Maneuver Extraction from Agent Trajectories.

Julian Schmidt, Julian Jordan, David Raba, Tobias Welz, Klaus Dietmayer

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories.

Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention.

Julian Schmidt, Julian Jordan, Franz Gritschneder, Klaus Dietmayer

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

SBOF: An End-to-End Framework for Simulative Black-Box Optimization of Hybrid Perceptive Functions.

Stefan Roos, Julian Schmidt, Wilhelm Stork

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A Framework for Simulative Evaluation and Optimization of Point Cloud-Based Automotive Sensor Sets.

Stefan Roos, Tobias Völkel, Julian Schmidt, Lukas Ewecker, Wilhelm Stork

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2018

Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector.

Julian Schmidt, Paul Drews, Ingrid Schirmer

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Charting the Emerging Business Ecosystem of Fintechs and banks: seven Types of Collaborative Business Models.

Julian Schmidt, Paul Drews, Ingrid Schirmer

Proceedings of the 26th European Conference on Information Systems: Beyond Digitization, 2018

2017

Digitalization of the Banking Industry: A Multiple Stakeholder Analysis on Strategic Alignment.

Julian Schmidt, Paul Drews, Ingrid Schirmer

Proceedings of the 23rd Americas Conference on Information Systems, 2017

2016

Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie - Eine strukturierte Literaturanalyse auf der Grundlage des Business Model Canvas.

Julian Schmidt, Paul Drews

Proceedings of the Multikonferenz Wirtschaftsinformatik, 2016

End-users' perspective on digitalization: A study on work order processing in the German banking industry.

Julian Schmidt, Paul Drews, Ingrid Schirmer

Proceedings of the 22nd Americas Conference on Information Systems, 2016

2015

Entwicklung und Evaluation eines Metamodells zur Verbesserung der unternehmensweiten Entscheidungsorientierung mithilfe der Unternehmensarchitektur.

Julian Schmidt, Paul Drews

Proceedings of the Smart Enterprise Engineering: 12. Internationale Tagung Wirtschaftsinformatik, 2015