Dávid Isztl

Projects

• Novel AFM Techniques for Autonomous Quality Control in Industrial Manufacturing / Team member / ongoing
• Scalable AV Platform for Edge AI Computing / Team member / completed

Publications

• Isztl, Dávid; Rosenthal, Matthias,

  2025.

  Multimodal autoregressive U-Net transformer architecture for pixelwise image and text conditioning (MUT)[paper].

  In:

  2025 IEEE Swiss Conference on Data Science (SDS).

  12th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 26-27 June 2025.

  IEEE.

  pp. 166-169.

  Available from: https://doi.org/10.1109/sds66131.2025.00032

• Isztl, Dávid; Welti, Tobias,

  2023.

  MAX78002 : ultra-low-power 1,2,3,4,8-Bit convolutional neural network (CNN) accelerator[poster].

  In:

  Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-27040

• Isztl, Dávid; Rosenthal, Matthias,

  2023.

  Ultra-low power car plate recognition at the edge.

  In:

  European Conference on EDGE AI Technologies and Applications – EEAI, Athens, Greece, 17-19 October 2023.

go back