CV – poster session papers

  1. Challenges of crop classification from satellite imagery with Eurocrops dataset – Przemysław Aszkowski, Marek Kraft
  2. Classification of interior architectural styles using deep learning – Adam Wojdyła, Michał Ulaniuk, Marcin Kostrzewski
  3. Classification of punches in Olympic boxing using static RGB camera – Piotr Stefański
  4. Do we always need AI for image colorization? –  Andrze Śluzek
  5. Dynamic, Incremental Surface Reconstruction – Jakub Niedźwiedzki
  6. Human activity classification in video –  Artur Wilkowski, Mariusz Kamola, Wlodzimierz Kasprzak, Paweł Piwowarski, Barbara Laskowska
  7. Improving The Accuracy Of State-Of-The-Art Deep Learning-Based Solutions For The Detection Of Characteristic Points Of The Human Silhouette –  Anton Smoliński, Antoni Smoliński, Paweł Forczmanski
  8. Objective hybrid quality assessment of binary images with the use of shallow neural networks – Mateusz Kopytek, Krzysztof Okarma,
  9. One-point Hough transform with centred accumulator – Leszek J Chmielewski, Marcin Bator, Krzysztof Gajowniczek
  10. Saliency prediction model in motion pictures – Anna Rogalska, Piotr Napieralski
  11. Transformers neural networks applications in different computer vision tasks – Andrzej Brodzicki, Michał Piekarski, Aleksander Kostuch, Filip Noworolnik, Maciej Aleksandrowicz, Anna Wójcicka, Joanna Jaworek-Korjakowska