no code implementations • 23 May 2024 • Daniel Kienzle, Marco Kantonis, Robin Schön, Rainer Lienhart
Utilizing transformer architectures for semantic segmentation of high-resolution images is hindered by the attention's quadratic computational complexity in the number of tokens.
1 code implementation • 26 Oct 2023 • Daniel Kienzle, Julian Lorenz, Katja Ludwig, Rainer Lienhart
We present a novel method for precise 3D object localization in single images from a single calibrated camera using only 2D labels.
no code implementations • 5 Sep 2023 • Julian Lorenz, Florian Barthel, Daniel Kienzle, Rainer Lienhart
We construct a new panoptic scene graph dataset and a set of metrics that are designed as a benchmark for the predictive performance especially on rare predicate classes.
1 code implementation • 18 Jun 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
STOIC2021 consisted of a Qualification phase, where participants developed challenge solutions using 2000 publicly available CT scans, and a Final phase, where participants submitted their training methodologies with which solutions were trained on CT scans of 9724 subjects.
1 code implementation • 17 Nov 2022 • Katja Ludwig, Daniel Kienzle, Julian Lorenz, Rainer Lienhart
We analyze different training techniques for freely selected and standard keypoints, including pseudo labels, and show in our experiments that only a few partly correct segmentation masks are sufficient for learning to detect arbitrary keypoints on limbs and skis.
1 code implementation • 30 Jun 2022 • Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart
We introduce a neural network for the prediction of the severity of lung damage and the detection of a COVID-infection using three-dimensional CT-data.
no code implementations • 13 Apr 2022 • Katja Ludwig, Daniel Kienzle, Rainer Lienhart
Nearly all Human Pose Estimation (HPE) datasets consist of a fixed set of keypoints.