Matthias Rottmann

1. SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
   2021/04/30 by Robin Chan, Chan, Robin, Krzysztof Lis +15 · 18 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
2. Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
   2020/12/09 by Robin Chan, Chan, Robin, Matthias Rottmann +3 · 11 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)
3. 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
4. An adaptive aggregation based domain decomposition multilevel method for the lattice wilson dirac operator: multilevel results
   2013/07/23 by Andreas Frommer, Karsten Kahl, Frommer, A. +7 · 2 citations
   Computer Science · Engineering · Physics and Astronomy · #Matrix Theory and Algorithms #Advanced Numerical Methods in Computational Mathematics #Model Reduction and Neural Networks
5. Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss
   2022/08/18 by Annika Mütze, Mütze, Annika, Matthias Rottmann +3 · 2 citations
   Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Multimodal Machine Learning Applications
6. Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation
   2019/01/24 by Robin Chan, Matthias Rottmann, Chan, Robin +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
7. Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion
   2024/02/14 by Edgar Heinert, Heinert, Edgar, Matthias Rottmann +5 · 3 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis
8. Multigrid Preconditioning for the Overlap Operator in Lattice QCD
   2014/10/27 by James Brannick, Andreas Frommer, Brannick, James +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
9. Classification Uncertainty of Deep Neural Networks Based on Gradient\n Information
   2018/05/22 by Philipp Oberdiek, Oberdiek, Philipp, Matthias Rottmann +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)
10. 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)
11. 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
12. Deep Active Learning with Noisy Oracle in Object Detection
    2023/09/30 by Marius Schubert, Tobias Riedlinger, Schubert, Marius +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
13. Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving
    2025/01/14 by Keser, Mert, Halil Ibrahim Orhan, Niki Amini-Naieni +8 · 1 citation
    Engineering · #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences