About me
Born in 1995 in Kaiserslautern, Germany, with Thai and German roots, my passion for science and computers began early. I aspired to be a Computer Scientist, drawn to the captivating world of coding and problem-solving. Today, I’m dedicated to exploring Artificial Intelligence with current research on Image Super-Resolution and past explorations in Neural Architecture Search and Recurrent Neural Networks.
List of publications
2025 - Dynamic Attention-Guided Diffusion for Image Super-Resolution
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2025 - SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over Time
Stanislav Frolov, Brian B. Moser, Andreas Dengel
2024 - Diffusion Models, Image Super-Resolution and Everything: A Survey
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel
Stanislav Frolov, Brian B. Moser, Sebastian Palacio, Andreas Dengel
2024 - Federated Learning for Blind Image Super-Resolution
Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel
2024 - FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data
Ahmed Anwar, Brian B. Moser, Dayananda Herurkar, Federico Raue, Vinit Hegiste, Tatjana Legler, Andreas Dengel
2024 - Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2024 - A Study in Dataset Pruning for Image Super-Resolution
Brian B. Moser, Federico Raue, Andreas Dengel
2023 - DWA: Differential Wavelet Amplifier for Image Super-Resolution
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 - Bridging the Gap: Infusing Natural Science Classes with Computer Science Concepts and Skills
Elena Yanakieva, Annette Bieniusa, Thomas Becka, Brian B. Moser, Dominik Jerger, Christoph Thyssen
2023 - Hitchhiker’s Guide to Super-Resolution: Introduction and Recent Advances
Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel
2022 - Less Is More: Proxy Datasets in NAS Approaches
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2020 - DartsReNet: Exploring New RNN Cells in ReNet Architectures
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2019 - Comparison Between U-Net and U-ReNet Models in OCR Tasks
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
Educations
- 2021 - today, PhD, TU Kaiserslautern / RPTU Kaiserslautern-Landau, Germany
- 2018 - 2021, Computer Science, M.Sc., TU Kaiserslautern, Germany
- 2014 - 2018, Computer Science, B.Sc., TU Kaiserslautern, Germany