Julian Schmidt

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Motion Prediction

Unsupervised Anomaly Detection

Banking Industry

Top Venues

Publications

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
Advancements in UWB: Paving the Way for Sovereign Data Networks in Healthcare Facilities. NetAISys@MobiSys (2024)
Benjamin Clapham, Jenny Jakobs, Julian Schmidt, Peter Gomber, Jan Muntermann
A Taxonomy of Violations in Digital Asset Markets. ICIS (2023)
Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer
LMR: Lane Distance-Based Metric for Trajectory Prediction. CoRR (2023)
Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. IV (2023)
Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks. CoRR (2023)
Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. CoRR (2023)
Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
Exploring Navigation Maps for Learning-Based Motion Prediction. ICRA (2023)
Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. CoRR (2023)
Syed Adil Abbas Kazmi, Kerim Agdaci, Stefan Richter, Enrico Köppe, Julian Schmidt
Demonstration of Opticoms Portable 5G Network with NC-Systems Positioning Solution for Mission Critical Applications. CSCN (2023)
Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
Exploring Navigation Maps for Learning-Based Motion Prediction. CoRR (2023)
Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer
LMR: Lane Distance-Based Metric for Trajectory Prediction. IV (2023)
Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. IROS (2023)
Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer
SCENE: Reasoning About Traffic Scenes Using Heterogeneous Graph Neural Networks. IEEE Robotics Autom. Lett. 8 (3) (2023)
Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. CoRR (2022)
Julian Schmidt, Julian Jordan, Franz Gritschneder, Klaus Dietmayer
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention. ICRA (2022)
Julian Schmidt, Julian Jordan, Franz Gritschneder, Klaus Dietmayer
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention. CoRR (2022)
Julian Schmidt, Julian Jordan, David Raba, Tobias Welz, Klaus Dietmayer
MEAT: Maneuver Extraction from Agent Trajectories. IV (2022)
Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. ITSC (2022)
Julian Schmidt, Julian Jordan, David Raba, Tobias Welz, Klaus Dietmayer
MEAT: Maneuver Extraction from Agent Trajectories. CoRR (2022)
Ulrike Bath, Sumit Shekhar, Julian Egbert, Julian Schmidt, Amir Semmo, Jürgen Döllner, Matthias Trapp
CERVI: collaborative editing of raster and vector images. Vis. Comput. 38 (12) (2022)
Stefan Roos, Tobias Völkel, Julian Schmidt, Lukas Ewecker, Wilhelm Stork
A Framework for Simulative Evaluation and Optimization of Point Cloud-Based Automotive Sensor Sets. ITSC (2021)
Stefan Roos, Julian Schmidt, Wilhelm Stork
SBOF: An End-to-End Framework for Simulative Black-Box Optimization of Hybrid Perceptive Functions. SMC (2021)
Julian Schmidt, Paul Drews, Ingrid Schirmer
Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector. HICSS (2018)
Julian Schmidt, Paul Drews, Ingrid Schirmer
Charting the Emerging Business Ecosystem of Fintechs and banks: seven Types of Collaborative Business Models. ECIS (2018)
Julian Schmidt, Paul Drews, Ingrid Schirmer
Digitalization of the Banking Industry: A Multiple Stakeholder Analysis on Strategic Alignment. AMCIS (2017)
Julian Schmidt, Paul Drews
Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie - Eine strukturierte Literaturanalyse auf der Grundlage des Business Model Canvas. MKWI (2016)
Julian Schmidt, Paul Drews, Ingrid Schirmer
End-users' perspective on digitalization: A study on work order processing in the German banking industry. AMCIS (2016)
Julian Schmidt, Paul Drews
Entwicklung und Evaluation eines Metamodells zur Verbesserung der unternehmensweiten Entscheidungsorientierung mithilfe der Unternehmensarchitektur. Wirtschaftsinformatik (2015)