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Daan de Geus
PhD. candidate

Daan de Geus is a full-time PhD candidate at the SPS/VCA group at the Eindhoven University of Technology. His research focuses on computer vision, and specifically on scene understanding using deep learning. Daan obtained his BSc degree in Electrical Engineering (2016) and his MSc degree in Automotive Technology (2018, cum laude) from the Eindhoven University of Technology. His master thesis was titled ‘Panoptic Segmentation using a Joint Semantic and Instance Segmentation Network’. He started his PhD in 2018, continuing the research from his master thesis. His areas of interest include computer vision, artificial intelligence and automated vehicles.

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