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Daniel Kienzle

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Towards Learning Monocular 3D Object Localization From 2D Labels using the Physical Laws of Motion

Oct 26, 2023
Daniel Kienzle, Julian Lorenz, Katja Ludwig, Rainer Lienhart

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

Sep 05, 2023
Julian Lorenz, Florian Barthel, Daniel Kienzle, Rainer Lienhart

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

Jun 25, 2023
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schon, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Muller, Silvan Mertes, Niklas Schroter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, 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

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

Nov 17, 2022
Katja Ludwig, Daniel Kienzle, Julian Lorenz, Rainer Lienhart

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

Jun 30, 2022
Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart

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Recognition of Freely Selected Keypoints on Human Limbs

Apr 13, 2022
Katja Ludwig, Daniel Kienzle, Rainer Lienhart

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