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2020 – today
- 2024
[j3]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:
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97: 103230 (2024)- [c10]Daniel Kienzle, Katja Ludwig, Julian Lorenz, Rainer Lienhart:
Towards Learning Monocular 3D Object Localization from 2D Labels Using the Physical Laws of Motion. 3DV 2024: 1564-1573 - [c9]Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart:
A Review and Efficient Implementation of Scene Graph Generation Metrics. CVPR Workshops 2024: 2567-2575 - [c8]Robin Schön, Julian Lorenz, Katja Ludwig, Rainer Lienhart:
Adapting the Segment Anything Model During Usage in Novel Situations. CVPR Workshops 2024: 3616-3626 - [c7]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:
UNCOVER: Data-Driven Design Support through Continuous Monitoring of Security Incidents. DATE 2024: 1-6 - [i9]Robin Schön, Julian Lorenz, Katja Ludwig, Rainer Lienhart:
Adapting the Segment Anything Model During Usage in Novel Situations. CoRR abs/2404.08421 (2024) - [i8]Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart:
A Review and Efficient Implementation of Scene Graph Generation Metrics. CoRR abs/2404.09616 (2024) - [i7]Julian Lorenz, Alexander Pest, Daniel Kienzle, Katja Ludwig, Rainer Lienhart:
A Fair Ranking and New Model for Panoptic Scene Graph Generation. CoRR abs/2407.09216 (2024) - 2023
- [c6]Katja Ludwig, Julian Lorenz, Robin Schön, Rainer Lienhart:
All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes. CVPR Workshops 2023: 5179-5187 - [c5]Julian Lorenz, Florian Barthel, Daniel Kienzle, Rainer Lienhart:
Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes. ICCV (Workshops) 2023: 62-70 - [c4]Katja Ludwig, Daniel Kienzle, Julian Lorenz, Rainer Lienhart:
Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks. WACV (Workshops) 2023: 1-10 - [i6]Katja Ludwig, Julian Lorenz, Robin Schön, Rainer Lienhart:
All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes. CoRR abs/2304.02939 (2023) - [i5]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 Dubois:
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - [i4]Julian Lorenz, Florian Barthel, Daniel Kienzle, Rainer Lienhart:
Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes. CoRR abs/2309.02286 (2023) - [i3]Daniel Kienzle, Julian Lorenz, Katja Ludwig, Rainer Lienhart:
Towards Learning Monocular 3D Object Localization From 2D Labels using the Physical Laws of Motion. CoRR abs/2310.17462 (2023) - 2022
- [c3]Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart:
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings. ECCV Workshops (7) 2022: 500-516 - [i2]Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart:
Custom Pretrainings and Adapted 3D-ConvNeXt Architecture for COVID Detection and Severity Prediction. CoRR abs/2206.15073 (2022) - [i1]Katja Ludwig, Daniel Kienzle, Julian Lorenz, Rainer Lienhart:
Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks. CoRR abs/2211.09446 (2022)
2010 – 2019
- 2011
- [j2]Nicla Bernasconi, Julian Lorenz, Reto Spöhel:
Von Neumann and Newman poker with a flip of hand values. Discret. Math. 311(21): 2337-2345 (2011)
2000 – 2009
- 2009
- [j1]Julian Lorenz, Konstantinos Panagiotou, Angelika Steger:
Optimal Algorithms for k-Search with Application in Option Pricing. Algorithmica 55(2): 311-328 (2009) - 2007
- [c2]Julian Lorenz, Martin Marciniszyn, Angelika Steger:
Observational Learning in Random Networks. COLT 2007: 574-588 - [c1]Julian Lorenz, Konstantinos Panagiotou, Angelika Steger:
Optimal Algorithms for k -Search with Application in Option Pricing. ESA 2007: 275-286
Coauthor Index
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last updated on 2024-10-11 18:19 CEST by the dblp team
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