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2020 – today
- 2024
[c20]Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Jianfeng Gao, Fabian Peller-Konrad, Tobias Röddiger, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues:
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading. EMNLP 2024: 11592-11610- [c19]Dmitrii Seletkov, Simon Reiß
, Alexander Freytag, Constantin Seibold, Rainer Stiefelhagen:
Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios. ISBI 2024: 1-4 - [c18]Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon S. Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek:
Anatomy-Guided Pathology Segmentation. MICCAI (8) 2024: 3-13 - [c17]Zhifeng Teng, Jiaming Zhang, Kailun Yang, Kunyu Peng, Hao Shi, Simon Reiß, Ke Cao, Rainer Stiefelhagen:
360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View. WACV 2024: 372-381 - [i15]Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Fabian Tërnava, Jianfeng Gao, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues:
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading. CoRR abs/2406.10421 (2024) - [i14]Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek:
Anatomy-guided Pathology Segmentation. CoRR abs/2407.05844 (2024) - [i13]Alexander Jaus, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen:
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation? CoRR abs/2409.13548 (2024) - 2023
- [b1]Simon Reiß:
Semi-Weakly Supervised Learning for Label-efficient Semantic Segmentation in Expert-driven Domains. Karlsruhe Institute of Technology, Germany, 2023 - [c16]Jiaming Zhang, Ruiping Liu, Hao Shi, Kailun Yang, Simon Reiß, Kunyu Peng, Haodong Fu, Kaiwei Wang, Rainer Stiefelhagen:
Delivering Arbitrary-Modal Semantic Segmentation. CVPR 2023: 1136-1147 - [c15]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. CVPR 2023: 15495-15506 - [c14]Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen:
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging. ICCV (Workshops) 2023: 2275-2285 - [i12]Jiaming Zhang, Ruiping Liu, Hao Shi, Kailun Yang, Simon Reiß, Kunyu Peng, Haodong Fu, Kaiwei Wang, Rainer Stiefelhagen:
Delivering Arbitrary-Modal Semantic Segmentation. CoRR abs/2303.01480 (2023) - [i11]Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen:
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging. CoRR abs/2303.07126 (2023) - [i10]Zhifeng Teng, Jiaming Zhang, Kailun Yang, Kunyu Peng, Hao Shi, Simon Reiß, Ke Cao, Rainer Stiefelhagen:
360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View. CoRR abs/2303.11910 (2023) - [i9]Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen:
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling. CoRR abs/2306.03934 (2023) - 2022
- [c13]Constantin Marc Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen:
Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation. AAAI 2022: 2171-2179 - [c12]Constantin Marc Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. BMVC 2022: 58 - [c11]Jiaming Zhang, Kailun Yang, Chaoxiang Ma, Simon Reiß, Kunyu Peng, Rainer Stiefelhagen:
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation. CVPR 2022: 16896-16906 - [c10]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. ECCV (21) 2022: 401-419 - [c9]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek:
Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training. MICCAI (5) 2022: 690-700 - [i8]Jiaming Zhang, Kailun Yang, Chaoxiang Ma, Simon Reiß, Kunyu Peng, Rainer Stiefelhagen:
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation. CoRR abs/2203.01452 (2022) - [i7]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek:
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training. CoRR abs/2205.07139 (2022) - [i6]Jiaming Zhang, Kailun Yang, Hao Shi, Simon Reiß, Kunyu Peng, Chaoxiang Ma, Haodong Fu, Kaiwei Wang, Rainer Stiefelhagen:
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation. CoRR abs/2207.11860 (2022) - [i5]Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen:
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. CoRR abs/2210.03416 (2022) - 2021
- [c8]Kailun Yang, Jiaming Zhang, Simon Reiß, Xinxin Hu, Rainer Stiefelhagen:
Capturing Omni-Range Context for Omnidirectional Segmentation. CVPR 2021: 1376-1386 - [c7]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. CVPR 2021: 9532-9542 - [c6]Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen:
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. IROS 2021: 8563-8569 - [c5]Alina Roitberg, Simon Reiß, Rainer Stiefelhagen:
From Driver Talk To Future Action: Vehicle Maneuver Prediction by Learning from Driving Exam Dialogs. IV 2021: 566-571 - [i4]Kailun Yang, Jiaming Zhang, Simon Reiß, Xinxin Hu, Rainer Stiefelhagen:
Capturing Omni-Range Context for Omnidirectional Segmentation. CoRR abs/2103.05687 (2021) - [i3]Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen:
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. CoRR abs/2104.13243 (2021) - [i2]Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen:
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. CoRR abs/2107.05617 (2021) - [i1]Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen:
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation. CoRR abs/2112.00735 (2021) - 2020
- [c4]Simon Reiß, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen:
Activity-aware Attributes for Zero-Shot Driver Behavior Recognition. CVPR Workshops 2020: 3950-3955 - [c3]Alina Roitberg, Monica Haurilet, Simon Reiß, Rainer Stiefelhagen:
CNN-based Driver Activity Understanding: Shedding Light on Deep Spatiotemporal Representations. ITSC 2020: 1-6 - [c2]Simon Reiß, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen:
Deep Classification-driven Domain Adaptation for Cross-Modal Driver Behavior Recognition. IV 2020: 1042-1047
2010 – 2019
- 2019
- [c1]Manuel Martin, Alina Roitberg, Monica Haurilet, Matthias Horne, Simon Reiß, Michael Voit, Rainer Stiefelhagen:
Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles. ICCV 2019: 2801-2810
Coauthor Index
aka: Constantin Marc Seibold
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