Simon Reiß - RankMe

48 papers A* 10A 3C 2Journal 24Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CHAOS: Chart Analysis with Outlier Samples. CoRR Omar Moured, Yufan Chen, Ruiping Liu, Simon Reiß, Philip Torr, Jiaming Zhang, Rainer Stiefelhagen
2025	—	`conf`	Conquering the Retina: Bringing Visual in-Context Learning to OCT. EMA4MICCAI Alessio Negrini, Simon Reiß
2025	J	`jnl`	Conquering the Retina: Bringing Visual in-Context Learning to OCT. CoRR Alessio Negrini, Simon Reiß
2025	A*	`conf`	Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks. AAAI Alexander Jaus, Constantin Marc Seibold, Simon Reiß, Zdravko Marinov, Keyi Li, Zeling Ye, Stefan Krieg, Jens Kleesiek, Rainer Stiefelhagen
2025	J	`jnl`	Foreign object segmentation in chest x-rays through anatomy-guided shape insertion. CoRR Constantin Seibold, Hamza Kalisch, Lukas Heine, Simon Reiß, Jens Kleesiek
2025	J	`jnl`	Good Enough: Is it Worth Improving your Label Quality? CoRR Alexander Jaus, Zdravko Marinov, Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen
2025	J	`jnl`	Is Visual in-Context Learning for Compositional Medical Tasks within Reach? CoRR Simon Reiß, Zdravko Marinov, Alexander Jaus, Constantin Seibold, M. Saquib Sarfraz, Erik Rodner, Rainer Stiefelhagen
2025	J	`jnl`	Semantic Segmentation for Preoperative Planning in Transcatheter Aortic Valve Replacement. CoRR Cedric Zöllner, Simon Reiß, Alexander Jaus, Amroalalaa Sholi, Ralf Sodian, Rainer Stiefelhagen
2024	A	`conf`	360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View. WACV Zhifeng Teng, Jiaming Zhang, Kailun Yang, Kunyu Peng, Hao Shi, Simon Reiß, Ke Cao, Rainer Stiefelhagen
2024	—	`conf`	Anatomy-Guided Pathology Segmentation. MICCAI (8) Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon S. Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek
2024	J	`jnl`	Anatomy-guided Pathology Segmentation. CoRR Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek
2024	J	`jnl`	Behind Every Domain There is a Shift: Adapting Distortion-Aware Vision Transformers for Panoramic Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Jiaming Zhang, Kailun Yang, Hao Shi, Simon Reiß, Kunyu Peng, Chaoxiang Ma, Haodong Fu, Philip H. S. Torr, Kaiwei Wang, Rainer Stiefelhagen
2024	J	`jnl`	Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation? CoRR Alexander Jaus, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen
2024	J	`jnl`	Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks. CoRR Alexander Jaus, Constantin Seibold, Simon Reiß, Zdravko Marinov, Keyi Li, Zeling Ye, Stefan Krieg, Jens Kleesiek, Rainer Stiefelhagen
2024	A*	`conf`	Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations. NeurIPS David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen
2024	J	`jnl`	Muscles in Time: Learning to Understand Human Motion by Simulating Muscle Activations. CoRR David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen
2024	A*	`conf`	SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading. EMNLP 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
2024	J	`jnl`	SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading. CoRR 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
2024	—	`conf`	Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios. ISBI Dmitrii Seletkov, Simon Reiß, Alexander Freytag, Constantin Seibold, Rainer Stiefelhagen
2023	J	`jnl`	360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View. CoRR Zhifeng Teng, Jiaming Zhang, Kailun Yang, Kunyu Peng, Hao Shi, Simon Reiß, Ke Cao, Rainer Stiefelhagen
2023	J	`jnl`	Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling. CoRR Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen
2023	A*	`conf`	Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains. CVPR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2023	A*	`conf`	Delivering Arbitrary-Modal Semantic Segmentation. CVPR Jiaming Zhang, Ruiping Liu, Hao Shi, Kailun Yang, Simon Reiß, Kunyu Peng, Haodong Fu, Kaiwei Wang, Rainer Stiefelhagen
2023	J	`jnl`	Delivering Arbitrary-Modal Semantic Segmentation. CoRR Jiaming Zhang, Ruiping Liu, Hao Shi, Kailun Yang, Simon Reiß, Kunyu Peng, Haodong Fu, Kaiwei Wang, Rainer Stiefelhagen
2023	—	`conf`	Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging. ICCV (Workshops) Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen
2023	J	`jnl`	Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging. CoRR Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen
2023	—	`—`	Semi-Weakly Supervised Learning for Label-efficient Semantic Segmentation in Expert-driven Domains. Simon Reiß
2022	J	`jnl`	Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation. CoRR Jiaming Zhang, Kailun Yang, Hao Shi, Simon Reiß, Kunyu Peng, Chaoxiang Ma, Haodong Fu, Kaiwei Wang, Rainer Stiefelhagen
2022	A*	`conf`	Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation. CVPR Jiaming Zhang, Kailun Yang, Chaoxiang Ma, Simon Reiß, Kunyu Peng, Rainer Stiefelhagen
2022	J	`jnl`	Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation. CoRR Jiaming Zhang, Kailun Yang, Chaoxiang Ma, Simon Reiß, Kunyu Peng, Rainer Stiefelhagen
2022	—	`conf`	Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training. MICCAI (5) Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek
2022	J	`jnl`	Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training. CoRR Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek
2022	A	`conf`	Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. BMVC 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
2022	J	`jnl`	Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. CoRR 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
2022	—	`conf`	Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. ECCV (21) Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2022	A*	`conf`	Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation. AAAI Constantin Marc Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen
2021	A*	`conf`	Capturing Omni-Range Context for Omnidirectional Segmentation. CVPR Kailun Yang, Jiaming Zhang, Simon Reiß, Xinxin Hu, Rainer Stiefelhagen
2021	J	`jnl`	Capturing Omni-Range Context for Omnidirectional Segmentation. CoRR Kailun Yang, Jiaming Zhang, Simon Reiß, Xinxin Hu, Rainer Stiefelhagen
2021	A*	`conf`	Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. CVPR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2021	J	`jnl`	Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation. CoRR Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
2021	C	`conf`	From Driver Talk To Future Action: Vehicle Maneuver Prediction by Learning from Driving Exam Dialogs. IV Alina Roitberg, Simon Reiß, Rainer Stiefelhagen
2021	A	`conf`	Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. IROS Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen
2021	J	`jnl`	Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. CoRR Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen
2021	J	`jnl`	Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation. CoRR Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen
2020	—	`conf`	Activity-aware Attributes for Zero-Shot Driver Behavior Recognition. CVPR Workshops Simon Reiß, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen
2020	—	`conf`	CNN-based Driver Activity Understanding: Shedding Light on Deep Spatiotemporal Representations. ITSC Alina Roitberg, Monica Haurilet, Simon Reiß, Rainer Stiefelhagen
2020	C	`conf`	Deep Classification-driven Domain Adaptation for Cross-Modal Driver Behavior Recognition. IV Simon Reiß, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen
2019	A*	`conf`	Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles. ICCV Manuel Martin, Alina Roitberg, Monica Haurilet, Matthias Horne, Simon Reiß, Michael Voit, Rainer Stiefelhagen