Four papers, one as oral presentation, were accepted at ICCV2017 which is one of the most prestigious computer vision conferences with a very selective review process and low acceptance rate. Congratulations to Zuzana Kukelova, Jiri Matas, Michal Busta, Lukas Neumann, Karel Zimmermann, Tomas Petricek, Vojtech Salansky, and Tomas Svoboda.
Paper of authors K. Zimmermann, T. Petricek, V. Salansky, and T. Svoboda was accepted as oral presentation at ICCV 2017! We propose an active 3D mapping method for depth sensors, which allow individual control of depth-measuring rays, such as the newly emerging solid-state lidars. The method simultaneously (i) learns to reconstruct a dense 3D occupancy …read more
Ing. Jiří Trefný (Visual Recognition Group) was a guest of the Studio 6 of the Czech Television where he spoke on the topic: Face detection at the airports (the interview is in Czech language only).
Miguel Amável dos Santos Pinheiro successfully defended his Ph.D. thesis entitled Graph and Point Cloud Matching for Image Registration (supervisor: Prof. Jan Kybic). Congratulations!
Karel Zimmermann has successfully defended his habilitation thesis Safe Adaptive Traversability with Incomplete Data. Congratulation!
Assoc. Prof. Tomáš Svoboda (Vision for Robotics and Autonomous Systems) was a guest on CT24 speaking on the topic: USA: Shared Autonomous Transport in 13 Years? (the interview in Czech language only starts at about 0:15:56).
A 4-page cover story about humanoid robotics in Respekt (a major Czech weekly journal), 16/2017. Matej Hoffmann and Zdenek Straka interviewed and photographed with robots. More robots mentioned in the electronic version of the story. The printed version also available at ihned.cz.
Martin Bresler successfully defended his Ph.D. thesis entitled Understanding Formal Arrow-Connected Diagrams and Free-form Sketches (supervisor: Prof. Václav Hlaváč). Congratulations!
Paper “Binary pattern dictionary learning for gene expression representation in drosophila imaginal discs” by Jiří Borovec and Jan Kybic received Best Paper Award at MCBMIIA 2016. Congratulations!
Visual Recognition and Machine Learning Groups will be involved in cutting-edge research in artificial intelligence within the program FAIR (Facebook Artificial Intelligence Research) partnership. The project aims to accelerate progress and innovation in the field of the artificial intelligence, especially in deep neural networks. Our department was selected as one of the top 15 research …read more