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Julian Schmidt
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Journal Articles
- 2023
- [j2]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): 1531-1538 (2023) - 2022
- [j1]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): 4057-4070 (2022)
Conference and Workshop Papers
- 2024
- [c18]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: 25-30 - 2023
- [c17]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: 384 - [c16]Benjamin Clapham, Jenny Jakobs, Julian Schmidt, Peter Gomber, Jan Muntermann:
A Taxonomy of Violations in Digital Asset Markets. ICIS 2023 - [c15]Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer:
Exploring Navigation Maps for Learning-Based Motion Prediction. ICRA 2023: 3539-3545 - [c14]Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis:
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. IROS 2023: 5487-5494 - [c13]Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer:
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. IV 2023: 1-8 - [c12]Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer:
LMR: Lane Distance-Based Metric for Trajectory Prediction. IV 2023: 1-6 - 2022
- [c11]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: 7799-7805 - [c10]Julian Wiederer, Julian Schmidt
, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis:
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. ITSC 2022: 130-137 - [c9]Julian Schmidt
, Julian Jordan, David Raba, Tobias Welz, Klaus Dietmayer:
MEAT: Maneuver Extraction from Agent Trajectories. IV 2022: 1810-1816 - 2021
- [c8]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: 3231-3237 - [c7]Stefan Roos, Julian Schmidt
, Wilhelm Stork:
SBOF: An End-to-End Framework for Simulative Black-Box Optimization of Hybrid Perceptive Functions. SMC 2021: 1585-1592 - 2018
- [c6]Julian Schmidt, Paul Drews, Ingrid Schirmer:
Charting the Emerging Business Ecosystem of Fintechs and banks: seven Types of Collaborative Business Models. ECIS 2018: 104 - [c5]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: 1-10 - 2017
- [c4]Julian Schmidt, Paul Drews, Ingrid Schirmer:
Digitalization of the Banking Industry: A Multiple Stakeholder Analysis on Strategic Alignment. AMCIS 2017 - 2016
- [c3]Julian Schmidt, Paul Drews, Ingrid Schirmer:
End-users' perspective on digitalization: A study on work order processing in the German banking industry. AMCIS 2016 - [c2]Julian Schmidt, Paul Drews:
Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie - Eine strukturierte Literaturanalyse auf der Grundlage des Business Model Canvas. MKWI 2016: 967-978 - 2015
- [c1]Julian Schmidt, Paul Drews:
Entwicklung und Evaluation eines Metamodells zur Verbesserung der unternehmensweiten Entscheidungsorientierung mithilfe der Unternehmensarchitektur. Wirtschaftsinformatik 2015: 1814-1828
Informal and Other Publications
- 2023
- [i8]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 abs/2301.03512 (2023) - [i7]Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer:
Exploring Navigation Maps for Learning-Based Motion Prediction. CoRR abs/2302.06195 (2023) - [i6]Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer:
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. CoRR abs/2304.05856 (2023) - [i5]Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer:
LMR: Lane Distance-Based Metric for Trajectory Prediction. CoRR abs/2304.05869 (2023) - [i4]Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis:
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. CoRR abs/2308.01707 (2023) - 2022
- [i3]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 abs/2202.04488 (2022) - [i2]Julian Schmidt, Julian Jordan, David Raba, Tobias Welz, Klaus Dietmayer:
MEAT: Maneuver Extraction from Agent Trajectories. CoRR abs/2206.05158 (2022) - [i1]Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis:
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. CoRR abs/2209.01838 (2022)
Coauthor Index
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