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Márton Szemenyei

Researcher
Budapest University of Technology and Economics
Széchenyi Plusz RRF

Research area in AI: My core research area is computer vision and machine learning-based pattern recognition. My research also includes application of modern AI methods in the areas of vision and robotics. More specifically I have researched robust object detection on limited hardware, and the development of cooperative and competitive multi-agent strategies using self-supervised learning methods.

  • LinkedIn
  • MTMT  

Projects related to AI

  • FIKP MI-FM-11 research group

Publications

Fully neural object detection solutions for robot soccer

Márton Szemenyei
Vladimir Estivill-Castro
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Fully neural object detection solutions for robot soccer

Márton Szemenyei
Vladimir Estivill-Castro
Read more
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