Entwicklung und Evaluation eines Metamodells zur Verbesserung der unternehmensweiten Entscheidungsorientierung mithilfe der Unternehmensarchitektur. - Julian Schmidt; Paul Drews (Wirtschaftsinformatik, 2015)

End-users' perspective on digitalization: A study on work order processing in the German banking industry. - Julian Schmidt; Paul Drews; Ingrid Schirmer (AMCIS, 2016)

Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie - Eine strukturierte Literaturanalyse auf der Grundlage des Business Model Canvas. - Julian Schmidt; Paul Drews (MKWI, 2016)

Digitalization of the Banking Industry: A Multiple Stakeholder Analysis on Strategic Alignment. - Julian Schmidt; Paul Drews; Ingrid Schirmer (AMCIS, 2017)

Charting the Emerging Business Ecosystem of Fintechs and banks: seven Types of Collaborative Business Models. - Julian Schmidt; Paul Drews; Ingrid Schirmer (ECIS, 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 (HICSS, 2018)

A Framework for Simulative Evaluation and Optimization of Point Cloud-Based Automotive Sensor Sets. - Stefan Roos; Tobias Völkel; Julian Schmidt; Lukas Ewecker; Wilhelm Stork (ITSC, 2021)

SBOF: An End-to-End Framework for Simulative Black-Box Optimization of Hybrid Perceptive Functions. - Stefan Roos; Julian Schmidt; Wilhelm Stork (SMC, 2021)

CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention. - Julian Schmidt; Julian Jordan; Franz Gritschneder; Klaus Dietmayer (ICRA, 2022)

A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. - Julian Wiederer; Julian Schmidt; Ulrich Kressel; Klaus Dietmayer; Vasileios Belagiannis (ITSC, 2022)

MEAT: Maneuver Extraction from Agent Trajectories. - Julian Schmidt; Julian Jordan; David Raba; Tobias Welz; Klaus Dietmayer (IV, 2022)

CERVI: collaborative editing of raster and vector images. - Ulrike Bath; Sumit Shekhar 001; Julian Egbert; Julian Schmidt; Amir Semmo; Jürgen Döllner; Matthias Trapp 001 (Vis. Comput., 2022)

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 (CSCN, 2023)

A Taxonomy of Violations in Digital Asset Markets. - Benjamin Clapham; Jenny Jakobs; Julian Schmidt; Peter Gomber; Jan Muntermann (ICIS, 2023)

Exploring Navigation Maps for Learning-Based Motion Prediction. - Julian Schmidt; Julian Jordan; Franz Gritschneder; Thomas Monninger; Klaus Dietmayer (ICRA, 2023)

Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. - Julian Wiederer; Julian Schmidt; Ulrich Kressel; Klaus Dietmayer; Vasileios Belagiannis (IROS, 2023)

RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. - Julian Schmidt; Pascal Huissel; Julian Wiederer; Julian Jordan; Vasileios Belagiannis; Klaus Dietmayer (IV, 2023)

LMR: Lane Distance-Based Metric for Trajectory Prediction. - Julian Schmidt; Thomas Monninger; Julian Jordan; Klaus Dietmayer (IV, 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., 2023)

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; et al. (NetAISys@MobiSys, 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)

Advancing Out-of-Distribution Detection via Local Neuroplasticity. - Alessandro Canevaro; Julian Schmidt; Mohammad Sajad Marvi; Hang Yu; Georg Martius; Julian Jordan (ICLR, 2025)

Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction. - Sajad Marvi; Christoph Rist; Julian Schmidt; Julian Jordan; Abhinav Valada (CoRR, 2025)