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Kai Norman Clasen

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Technische Universität Berlin
Big Data Analytics for Earth Observation

Einsteinufer 17, 10587 Berlin
https://www.tu.berlin/en/rsim

Kai Norman Clasen
© Clasen

Kai Norman Clasen

Doctoral Researcher

Kai Norman Clasen is a Computer Engineer who completed his Master of Science at Technische Universtität Berlin in November 2021. Immediately after his graduation, he began his professional journey at RSiM, where he gained valuable experience developing transformer-based deep learning models for the remote sensing domain before transitioning to BIFOLD in 2023. At BIFOLD, he has shifted his focus towards dataset creation and validation "for remote sensing", with a particular emphasis on reproducibility.

  • Machine Learning
  • Reproducible Science / Reproducibility
  • Data Management

Jakob Hackstein, Gencer Sumbul, Kai Norman Clasen, Begüm Demir

Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing

January 15, 2024
https://doi.org/10.48550/arXiv.2401.07782

Marco Corsi, Giorgio Pasquali, Chiara Pratola, Simone Tilia, Sergios-Anestis Kefalidis, Konstantinos Plas, Mariangela Pollali, Eleni Tsalapati, Myrto Tsokanaridou, Manolis Koubarakis, Kai Norman Clasen, Leonard Hackel, Jakob Hackstein, Gencer Sumbul, Begum Demir, Nicolas Longepe´

DA4DTE: DEVELOPING A DIGITAL ASSISTANT FOR SATELLITE DATA ARCHIVES

November 01, 2023
https://cgi.di.uoa.gr/~koubarak/publications/2023/DA4DTE_BiDS_paper-3.pdf

Leonard Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir

LIT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing

July 16, 2023
https://doi.org/10.1109/IGARSS52108.2023.10281674

David Hoffmann, Kai Norman Clasen, Begüm Demir

Transformer-based Multi-Modal Learning for Multi-Label Remote Sensing Image Classification

July 16, 2023
https://doi.org/10.1109/IGARSS52108.2023.10281927