Michael Rudolph, M. Sc.

Michael Rudolph, M. Sc.
Adresse
Appelstraße 9a
30167 Hannover
Gebäude
Raum
Michael Rudolph, M. Sc.
Adresse
Appelstraße 9a
30167 Hannover
Gebäude
Raum
Geänderte Adresse

Wegen Bauarbeiten finden Sie mich in Gebäude 3403, Raum A503.

  • Persönliche Informationen

    Curriculum Vitae

    Michael Rudolph completed his Bachelor's in Mechanical Engineering at Ulm University of Applied Sciences in 2019 and his Master's Degree in Computational Science and Engineering at Ulm University.

    He started his PhD studies in 2021 at University of Duisburg-Essen and has continued his research at Leibniz University Hannover since 2024.

    Research Interest

    • Point Cloud Compression for Adaptive Streaming
      • Learning-based Point Cloud Compression techniques
      • View-adaptive decomposition techniques for Point Cloud Streaming
      • Graph Transform for Point Cloud Attribute Compression
    • Point Cloud Capturing and Preprocessing

    Teaching

    • Graph Signal Processing (starting SS 2025)

    Awards and Achievements

    • Best Paper Award at the ACM Multimedia Systems Conference (MMSys) 2023
  • Publikationsliste

    Konferenzbeiträge

    • Rudolph, Michael and Rizk, Amr (2025): Learned Compression in Adaptive Point Cloud Streaming: Opportunities, Challenges and LimitationsProceedings of the 16th ACM Multimedia Systems Conference
      DOI: https://doi.org/10.1145/3712676.3719266
    • Michael Rudolph, Aron Riemenschneider, Amr Rizk (2024): Progressive Coding for Deep Learning based Point Cloud Attribute CompressionProceedings of the 16th International Workshop on Immersive Mixed and Virtual Environment Systems
      DOI: https://doi.org/10.1145/3652212.3652217
    • Rudolph, Michael and Schneegass, Stefan and Rizk, Amr (2023): RABBIT: Live Transcoding of V-PCC Point Cloud StreamsProceedings of the 14th Conference on ACM Multimedia Systems
      DOI: https://doi.org/10.1145/3587819.3590978
    • Rudolph, Michael and Rizk, Amr (2022): View-Adaptive Streaming of Point Cloud Scenes through combined Decomposition and Video-based CodingProceedings of the 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis
      DOI: https://doi.org/10.1145/3552457.3555732
  • Forschungsprojekte