no code implementations • 15 Apr 2024 • Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart
Scene graph generation has emerged as a prominent research field in computer vision, witnessing significant advancements in the recent years.
no code implementations • 12 Apr 2024 • Robin Schön, Julian Lorenz, Katja Ludwig, Rainer Lienhart
The interactive segmentation task consists in the creation of object segmentation masks based on user interactions.
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 • 6 Apr 2023 • Katja Ludwig, Julian Lorenz, Robin Schön, Rainer Lienhart
Performance analyses based on videos are commonly used by coaches of athletes in various sports disciplines.
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.