Martin Benjak, M. Sc.
Leibniz Universität Hannover
Institut für Informationsverarbeitung
Appelstr. 9A
30167 Hannover
phone: +49 511 762-5308
fax: +49 511 762-5333
office location: room 1315

Martin Benjak studied electrical engineering at the Leibniz Universität Hannover with specialization on computer engineering and received his master’s degree in 2019. After graduating he joined Institut für Informationsverarbeitung at Leibniz University Hannover where he currently works as a research assistant towards his PhD.

His current research interests are in the field of machine learning-based video coding and video coding for machines. Within the field of learning-based video coding, he is working on error concealment, spatial scalability and decoder-side optimization. His main focus in video coding for machines is on energy efficient multi-task feature compression.

Martin has served as publication chair for VCIP 2021 and PCS 2024.

Show selected publications only
  • Yi-Hsin Chen, Zong-Lin Gao, Martin Benjak, Wen-Hsiao Peng
    Response to Call for Learning-Based Video Codecs for Study of Quality Assessment by NYCU and LUH
    14th Meeting of ISO/IEC JTC 1/SC 29/AG 5 Document m66163, January 2024
  • Martin Benjak, Yi-Hsin Chen, Wen-Hsiao Peng, Jörn Ostermann
    Learning-Based Scalable Video Coding with Spatial and Temporal Prediction
    IEEE International Conference on Visual Communications and Image Processing (VCIP), Jeju, Korea, December 2023
  • Hong-Sheng Xie, Yi-Hsin Chen, Wen-Hsiao Peng, Martin Benjak, Jörn Ostermann
    Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information
    IEEE International Conference on Visual Communications and Image Processing (VCIP), Jeju, Korea, December 2023
  • Martin Benjak, Niklas Aust, Yasser Samayoa, Jörn Ostermann
    Neural Network-based Error Concealment for B-Frames in VVC
    2022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, Texas, USA, 2022
  • Martin Benjak, Yasser Samayoa, Jörn Ostermann
    Neural Network Based Error Concealment for VVC
    Proceedings of the 28th IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, September 2021
  • Martin Benjak, Holger Meuel, Thorsten Laude, Jörn Ostermann
    Enhanced Machine Learning-based Inter Coding for VVC
    2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (ICAIIC 2021), April 2021
  • Martin Benjak, Jörn Ostermann
    Applications suitable for AI-based data compression
    1st Meeting of ISO/IEC JTC 1/SC 29/WG 2 Document m55424, 2020