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Robin Schön
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2020 – today
- 2024
- [j1]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) - [c8]Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart:
A Review and Efficient Implementation of Scene Graph Generation Metrics. CVPR Workshops 2024: 2567-2575 - [c7]Robin Schön, Julian Lorenz, Katja Ludwig, Rainer Lienhart:
Adapting the Segment Anything Model During Usage in Novel Situations. CVPR Workshops 2024: 3616-3626 - [c6]Daniel Kienzle, Marco Kantonis, Robin Schön, Rainer Lienhart:
Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation. MIPR 2024: 75-81 - [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]Daniel Kienzle, Marco Kantonis, Robin Schön, Rainer Lienhart:
Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation. CoRR abs/2405.14467 (2024) - [i6]Robin Schön, Daniel Kienzle, Rainer Lienhart:
WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation. CoRR abs/2407.09288 (2024) - 2023
- [c5]Robin Schön, Katja Ludwig, Rainer Lienhart:
Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance. CVPR Workshops 2023: 4809-4819 - [c4]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 - [i5]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) - [i4]Robin Schön, Katja Ludwig, Rainer Lienhart:
Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance. CoRR abs/2304.05716 (2023) - [i3]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) - 2022
- [c3]Sebastian A. Scherer, Robin Schön, Rainer Lienhart:
Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic Segmentation. BMVC 2022: 829 - [c2]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]Sebastian A. Scherer, Robin Schön, Rainer Lienhart:
Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic Segmentation. CoRR abs/2210.10426 (2022) - 2021
- [c1]Sebastian A. Scherer, Robin Schön, Katja Ludwig, Rainer Lienhart:
Unsupervised Domain Extension for Nighttime Semantic Segmentation in Urban Scenes. DeLTA 2021: 38-47
Coauthor Index
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last updated on 2024-12-10 21:48 CET by the dblp team
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