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.
I am currently a Researcher at the German Research Institute for Artificial Intelligence (DFKI) located in Kaiserslautern, Germany. My research is dedicated to pushing the boundaries of strongly-conditional generative AI, addressing complex tasks related to image enhancement and restoration. Additionally, my work extends into the areas of Dataset Distillation and Coreset Selection, aiming to develop efficient methodologies for reducing and optimizing datasets for deep learning applications. Also, I teach “Image Generation and Enhancement” at the University of Kaiserslautern.
My research has been published in prominent AI conferences and journals, including CVPR, WACV, IEEE TPAMI, IEEE ICIP, ACM Multimedia, IEEE TNNLS, etc. I’m passionate about contributing innovative solutions to AI challenges and always keen to collaborate on projects that leverage generative models, dataset optimization, and advanced machine learning techniques.
List of publications
2025 - TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
Ryugo Morita, Stanislav Frolov, Brian B. Moser, Takahiro Shirakawa, Ko Watanabe, Andreas Dengel, Jinjia Zhou
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
Brian B. Moser, Stanislav Frolov, Tobias Nauen, Federico Raue, Andreas Dengel
2025 - PupilSense: A Novel Application for Webcam-Based Pupil Diameter Esti- mation
Vijul Shah, Ko Watanabe, Brian B. Moser, Andreas Dengel
2025 - Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning
Brian B. Moser, Federico Raue, Tobias Nauen, Stanislav Frolov, Andreas Dengel
2025 - Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution
Ashitha Mudraje, Brian B. Moser, Stanislav Frolov, 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
2024 - Webcam-based Pupil Diameter Prediction Benefits from Upscaling
Vijul Shah, Brian B. Moser, Ko Watanabe, 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