Rottmann, Matthias
- SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
2021/04/30 by Robin Chan, Chan, Robin, Krzysztof Lis +15 · 21 citations
Computer Science · #62-07 #68T45 #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.4.6 #I.4.9
- Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
2020/12/09 by Robin Chan, Chan, Robin, Matthias Rottmann +3 · 12 citations
Computer Science · #62-07 #68T45 #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Adaptive Aggregation Based Domain Decomposition Multigrid for the Lattice Wilson Dirac Operator
2013/03/06 by Andreas Frommer, Karsten Kahl, Frommer, Andreas +7 · 8 citations
Engineering · Computer Science · Mathematics · #Advanced Numerical Methods in Computational Mathematics #Matrix Theory and Algorithms #Numerical methods for differential equations
- Identifying Label Errors in Object Detection Datasets by Loss Inspection
2023/03/13 by Schubert, Marius, Riedlinger, Tobias, Kahl, Karsten +4 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
2022/01/31 by Oberdiek, Philipp, Fink, Gernot A., Rottmann, Matthias · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss
2022/08/18 by Annika Mütze, Matthias Rottmann, Mütze, Annika +3 · 2 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Multimodal Machine Learning Applications
- Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation
2019/01/24 by Robin Chan, Chan, Robin, Matthias Rottmann +7 · 3 citations
Computer Science · #62-07 #62C05 #68T45 #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion
2024/02/14 by Edgar Heinert, Matthias Rottmann, Heinert, Edgar +5 · 3 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis
- Multigrid Preconditioning for the Overlap Operator in Lattice QCD
2014/10/27 by James Brannick, Brannick, James, Andreas Frommer +9 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #65F08 #65F10 #65Y05 #65Z05 #Advanced Numerical Methods in Computational Mathematics #FOS: Mathematics #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Quantum Chromodynamics and Particle Interactions
- Classification Uncertainty of Deep Neural Networks Based on Gradient\n Information
2018/05/22 by Philipp Oberdiek, Matthias Rottmann, Oberdiek, Philipp +3 · 1 citation
Computer Science · #68T45 #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Prediction Error Meta Classification in Semantic Segmentation: Detection\n via Aggregated Dispersion Measures of Softmax Probabilities
2018/11/01 by Matthias Rottmann, Pascal Colling, Rottmann, Matthias +11 · 1 citation
Computer Science · Medicine · #62-07 #68T45 #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
2024/06/15 by Wu, Jialong, Meuter, Mirko, Schoeler, Markus +1 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors
2021/07/09 by Tobias Riedlinger, Matthias Rottmann, Riedlinger, Tobias +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Coarsest-level improvements in multigrid for lattice QCD on large-scale computers
2022/05/18 by Espinoza-Valverde, Jesus, Frommer, Andreas, Ramirez-Hidalgo, Gustavo +1 · 1 citation
#65F10 (Primary) #65Y05 (Secondary) #Distributed #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #Numerical Analysis (math.NA) #Parallel #and Cluster Computing (cs.DC)
- Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
2022/07/13 by Rottmann, Matthias, Reese, Marco · 2 citations
#62-07 #68T45 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2 #I.4 #I.5 #Machine Learning (cs.LG)
- LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds
2023/06/13 by Riedlinger, Tobias, Schubert, Marius, Penquitt, Sarina +7 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
2022/12/21 by Riedlinger, Tobias, Schubert, Marius, Kahl, Karsten +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Convenient Infinite Dimensional Framework for Generative Adversarial Learning
2020/11/24 by Asatryan, Hayk, Gottschalk, Hanno, Lippert, Marieke +1 · 1 citation
#62G20 #68T05 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
- MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection
2020/10/04 by Schubert, Marius, Kahl, Karsten, Rottmann, Matthias · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation
2025/03/16 by Heinert, Edgar, Gottwald, Thomas, Mütze, Annika +1 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes
2024/08/20 by Sadia Ilyas, Ilyas, Sadia, Ido Freeman +3 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications
- Deep Active Learning with Noisy Oracle in Object Detection
2023/09/30 by Marius Schubert, Schubert, Marius, Tobias Riedlinger +5 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving
2025/01/14 by Keser, Mert, Halil Ibrahim Orhan, Orhan, Halil Ibrahim +8 · 1 citation
Engineering · #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences