Scholar
Brian B. Moser
Google Scholar ID: v6hF0VEAAAAJ
Researcher, German Research Center for Artificial Intelligence, University of Kaiserslautern
Citations & Impact
Citations
332
H-index
9
i10-index
8
Publications
20
Co-authors
22
list available
Publications
Resume (English only)
Academic Achievements
- - Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution, published in IJCNN 2024
- - DWA: Differential Wavelet Amplifier for Image Super-Resolution, published in ICANN 2023
- - Bridging the Gap: Infusing Natural Science Classes with Computer Science Concepts and Skills, published in ISSEP 2023
- - Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances, published in TPAMI
- - Less is More: Proxy Datasets in NAS approaches, published in CVPR 2022 Workshop
- - Master's Thesis: Less is More: Proxy Datasets in NAS approaches, 2021
- - DartsReNet: Exploring New RNN Cells in ReNet Architectures, published in ICANN 2020
- - Comparison Between U-Net and U-ReNet Models in OCR Tasks, published in ICANN 2019
- - Bachelor's Thesis: Applying Seq2Seq to visual domain, 2018
Research Experience
- - CEO, Various Moser companies, 2019 - present
- - Research Assistant, German Research Center for Artificial Intelligence, 2018 - present
- - Student Assistant, AG Robotic Systems, 2014 - 2015
- - Internship, German Research Center for Artificial Intelligence, 2011
- - Internship, HGE Ingineursbüro, 2010
Education
- - Ph.D. student, RPTU & DFKI, 2021 - present, researching on deep learning based image super-resolution
- - M. Sc., University of Kaiserslautern, 2018-2021, Major: Computer Science, Specialization: Artificial Intelligence (main) & Software Engineering (minor)
- - B. Sc., University of Kaiserslautern, 2014-2018, Major: Computer Science, Minor: Mathematics
- - Gymnasium am Rittersberg, Student, 2005-2014, Abitur (German Higher Education Entrance Qualification)
- - Grundschule Hohenecken, Student, 2001-2005, Primary School
Background
- Born in Kaiserslautern, Germany, with Thai and German origins. As a child, he always wanted to be a computer scientist. Fascinated by computers, he spends most of his spare time designing programs and web pages, enjoying problem-solving and logical thinking.
Miscellany
- Residence: Kaiserslautern, Germany; Age: 29; Languages: German, English, French; Programming Skills: Python (PyTorch, Numpy, Pandas, etc.), C# + Unity, Java, WordPress, HTML, CSS, Tensorflow + Keras, MatLab; Research Interests: Machine Learning, Deep Learning, Image Super-Resolution, Neural Architecture Search, Recurrent Neural Networks, Diffusion Models
