Julian Schmidt

39 papers A* 3A 2B 1C 4Journal 18Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MASAR: Motion-Appearance Synergy Refinement for Joint Detection and Trajectory Forecasting. CoRR Mohammed Amine Bencheikh Lehocine, Julian Schmidt, Frank Moosmann, Dikshant Gupta, Fabian Flohr
2025	A*	`conf`	Advancing Out-of-Distribution Detection via Local Neuroplasticity. ICLR Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan
2025	J	`jnl`	Advancing Out-of-Distribution Detection via Local Neuroplasticity. CoRR Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan
2025	A	`conf`	Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction. IROS Sajad Marvi, Christoph Rist, Julian Schmidt, Julian Jordan, Abhinav Valada
2025	J	`jnl`	Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction. CoRR Sajad Marvi, Christoph Rist, Julian Schmidt, Julian Jordan, Abhinav Valada
2025	J	`jnl`	H&E-based MSI/MMR testing with AI in colorectal cancer: a multi-centred blinded evaluation. npj Digit. Medicine 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
2025	—	`conf`	HYPE: Hybrid Planning with Ego Proposal-Conditioned Predictions. ITSC Hang Yu, Julian Jordan, Julian Schmidt, Silvan Lindner, Alessandro Canevaro, Wilhelm Stork
2025	J	`jnl`	HYPE: Hybrid Planning with Ego Proposal-Conditioned Predictions. CoRR Hang Yu, Julian Jordan, Julian Schmidt, Silvan Lindner, Alessandro Canevaro, Wilhelm Stork
2025	J	`jnl`	Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation. CoRR Chun-Peng Chang, Chen-Yu Wang, Julian Schmidt, Holger Caesar, Alain Pagani
2024	—	`conf`	Advancements in UWB: Paving the Way for Sovereign Data Networks in Healthcare Facilities. NetAISys@MobiSys 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
2024	J	`jnl`	Advancements in UWB: Paving the Way for Sovereign Data Networks in Healthcare Facilities. CoRR 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
2024	J	`jnl`	Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations. CoRR Michael Kurenkov, Sajad Marvi, Julian Schmidt, Christoph B. Rist, Alessandro Canevaro, Hang Yu, Julian Jordan, Georg Schildbach, Abhinav Valada
2023	C	`conf`	A Taxonomy of Violations in Digital Asset Markets. ICIS Benjamin Clapham, Jenny Jakobs, Julian Schmidt, Peter Gomber, Jan Muntermann
2023	—	`conf`	Demonstration of Opticoms Portable 5G Network with NC-Systems Positioning Solution for Mission Critical Applications. CSCN Syed Adil Abbas Kazmi, Kerim Agdaci, Stefan Richter, Enrico Köppe, Julian Schmidt
2023	A*	`conf`	Exploring Navigation Maps for Learning-Based Motion Prediction. ICRA Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
2023	J	`jnl`	Exploring Navigation Maps for Learning-Based Motion Prediction. CoRR Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
2023	A	`conf`	Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. IROS Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
2023	J	`jnl`	Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. CoRR Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
2023	C	`conf`	LMR: Lane Distance-Based Metric for Trajectory Prediction. IV Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer
2023	J	`jnl`	LMR: Lane Distance-Based Metric for Trajectory Prediction. CoRR Julian Schmidt, Thomas Monninger, Julian Jordan, Klaus Dietmayer
2023	C	`conf`	RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. IV Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer
2023	J	`jnl`	RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. CoRR Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer
2023	J	`jnl`	SCENE: Reasoning About Traffic Scenes Using Heterogeneous Graph Neural Networks. IEEE Robotics Autom. Lett. Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer
2023	J	`jnl`	SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks. CoRR Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer
2022	—	`conf`	A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. ITSC Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
2022	J	`jnl`	A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. CoRR Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
2022	J	`jnl`	CERVI: collaborative editing of raster and vector images. Vis. Comput. Ulrike Bath, Sumit Shekhar, Julian Egbert, Julian Schmidt, Amir Semmo, Jürgen Döllner, Matthias Trapp
2022	A*	`conf`	CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention. ICRA Julian Schmidt, Julian Jordan, Franz Gritschneder, Klaus Dietmayer
2022	J	`jnl`	CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention. CoRR Julian Schmidt, Julian Jordan, Franz Gritschneder, Klaus Dietmayer
2022	C	`conf`	MEAT: Maneuver Extraction from Agent Trajectories. IV Julian Schmidt, Julian Jordan, David Raba, Tobias Welz, Klaus Dietmayer
2022	J	`jnl`	MEAT: Maneuver Extraction from Agent Trajectories. CoRR Julian Schmidt, Julian Jordan, David Raba, Tobias Welz, Klaus Dietmayer
2021	—	`conf`	A Framework for Simulative Evaluation and Optimization of Point Cloud-Based Automotive Sensor Sets. ITSC Stefan Roos, Tobias Völkel, Julian Schmidt, Lukas Ewecker, Wilhelm Stork
2021	B	`conf`	SBOF: An End-to-End Framework for Simulative Black-Box Optimization of Hybrid Perceptive Functions. SMC Stefan Roos, Julian Schmidt, Wilhelm Stork
2018	—	`conf`	Charting the Emerging Business Ecosystem of Fintechs and banks: seven Types of Collaborative Business Models. ECIS Julian Schmidt, Paul Drews, Ingrid Schirmer
2018	—	`conf`	Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector. HICSS Julian Schmidt, Paul Drews, Ingrid Schirmer
2017	—	`conf`	Digitalization of the Banking Industry: A Multiple Stakeholder Analysis on Strategic Alignment. AMCIS Julian Schmidt, Paul Drews, Ingrid Schirmer
2016	—	`conf`	Auswirkungen der Digitalisierung auf die Geschäftsmodelle der Finanzindustrie - Eine strukturierte Literaturanalyse auf der Grundlage des Business Model Canvas. MKWI Julian Schmidt, Paul Drews
2016	—	`conf`	End-users' perspective on digitalization: A study on work order processing in the German banking industry. AMCIS Julian Schmidt, Paul Drews, Ingrid Schirmer
2015	—	`conf`	Entwicklung und Evaluation eines Metamodells zur Verbesserung der unternehmensweiten Entscheidungsorientierung mithilfe der Unternehmensarchitektur. Wirtschaftsinformatik Julian Schmidt, Paul Drews