Julian Lorenz

According to our database, Julian Lorenz authored at least 14 papers between 2007 and 2024.

Collaborative distances:

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

2024

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel

Medical Image Anal., 2024

A Fair Ranking and New Model for Panoptic Scene Graph Generation.

Julian Lorenz, Alexander Pest, Daniel Kienzle, Katja Ludwig, Rainer Lienhart

CoRR, 2024

UNCOVER: Data-Driven Design Support through Continuous Monitoring of Security Incidents.

Matthias Stammler, Julian Lorenz, Eric Sax, Jürgen Becker, Matthias Hamann, Patrick Bidinger, Andreas Dewald, Paraskevi Georgouti, Alexios Camarinopoulos, Günter Becker, Klaus Finsterbusch, Maximilian Kirschner, Laurenz Adolph, Carl Philipp Hohl, Maria Rill, Daniel Vonderau, Victor Pazmino Betancourt

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Adapting the Segment Anything Model During Usage in Novel Situations.

Robin Schön, Julian Lorenz, Katja Ludwig, Rainer Lienhart

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Review and Efficient Implementation of Scene Graph Generation Metrics.

Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Learning Monocular 3D Object Localization from 2D Labels Using the Physical Laws of Motion.

Daniel Kienzle, Katja Ludwig, Julian Lorenz, Rainer Lienhart

Proceedings of the International Conference on 3D Vision, 2024

2023

Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks.

Katja Ludwig, Daniel Kienzle, Julian Lorenz, Rainer Lienhart

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes.

Julian Lorenz, Florian Barthel, Daniel Kienzle, Rainer Lienhart

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes.

Katja Ludwig, Julian Lorenz, Robin Schön, Rainer Lienhart

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Custom Pretrainings and Adapted 3D-ConvNeXt Architecture for COVID Detection and Severity Prediction.

Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart

CoRR, 2022

COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings.

Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2011

Von Neumann and Newman poker with a flip of hand values.

Nicla Bernasconi, Julian Lorenz, Reto Spöhel

Discret. Math., 2011

2009

Optimal Algorithms for <i>k</i>-Search with Application in Option Pricing.

Julian Lorenz, Konstantinos Panagiotou, Angelika Steger

Algorithmica, 2009

2007

Observational Learning in Random Networks.

Julian Lorenz, Martin Marciniszyn, Angelika Steger

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007