Robin Schön

According to our database, Robin Schön authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

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

WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation.

Robin Schön, Daniel Kienzle, Rainer Lienhart

CoRR, 2024

Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation.

Daniel Kienzle, Marco Kantonis, Robin Schön, Rainer Lienhart

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 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

2023

Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance.

Robin Schön, Katja Ludwig, Rainer Lienhart

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

Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic Segmentation.

Sebastian A. Scherer, Robin Schön, Rainer Lienhart

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Unsupervised Domain Extension for Nighttime Semantic Segmentation in Urban Scenes.

Sebastian A. Scherer, Robin Schön, Katja Ludwig, Rainer Lienhart

Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021