Zuzana Kúkelová in the TOP Women Scientists of Czechia 2024 by Forbes magazine

Zuzana Kúkelová in the TOP Women Scientists of Czechia 2024 by Forbes magazine
Forbes magazine has compiled a selection of the TOP Women Scientists of Czechia. They chose interesting, inspiring, and active female scientists from various fields in an effort to showcase a wide range of top-level science (not only) in Czechia. Zuzana Kúkelová from our department made it into the selection. You can find Zuzana Kúkelová’s profile …read more

Introducing GACR Junior Stars 2023 projects

Introducing GACR Junior Stars 2023 projects
This article introduces some of the successful Czech scientists who are currently investigating their GACR JUNIOR STAR projects.

Interview with professor Matas about AI in podcast Peak.cz

Interview with professor Matas about AI in podcast Peak.cz
The interview was recorded only in Czech. Professor Jiří Matas talks about the development of AI in the Peak.cz podcast. “Any artificial intelligence that generates something has to know that it generated it, and it has to be able to answer to me: yes, I generated it,” she says of the AI ​​phenomenon. Artificial intelligence …read more

MRS drones documented the interiors of St. Moritz church in Olomouc

MRS drones documented the interiors of St. Moritz church in Olomouc
MRS system for documentation of the interiors of historical monuments by autonomous aerial vehicles has been deployed in the St. Moritz church in Olomouc. The drones can visit places which are not visible to the pilot as they fly autonomously, judging the environment using their onboard sensors and computer technology. They are able to take …read more

Interview with Dmytro Mishkin, Computer Vision Researcher

Interview with Dmytro Mishkin, Computer Vision Researcher
Dmytro Mishkin is a Ph.D. student in Computer Vision at the Center for Machine Perception of Department of Cybernetics. Dmytro ´s interests lie in areas like deep learning, metric learning, image matching, local features and so on. Dmytro’s research has been widely successful in many areas of machine learning and computer vision in general. The …read more

D.Rozumnyi and Prof. J.Matas awarded Honorable Mention at GCPR

D.Rozumnyi and Prof. J.Matas awarded Honorable Mention at GCPR
D.Rozumnyi and prof. J.Matas were awarded the Honorable Mention for Outstanding Contribution at “German Conference on Pattern Recognition (GCPR)” for the publication R. Rozumnyi, J. Kotera, F. Sroubek J. Matas: Non-Causal Tracking by Deblatting. Gratulujeme!

Tomas Jenicek and Ondra Chum in MIT Technology Review

Tomas Jenicek and Ondra Chum in MIT Technology Review
The work of Tomas Jenicek and Ondra Chum Linking Art trhought Human Poses is discussed in MIT Technology Review article Machine vision can spot unknown links between classic artworks. Congratulations!

James Pritts (CMP) recently sat down for an interview with “Hospodarske noviny” newspaper, where he discussed self-driving vehicles

Our colleague, Ing. James Brandon Pritts, from the Visual Recognition Group spoke on the topic: Self-driving cars safety. For more information [in Czech], see the article in Hospodarske noviny. Thanks for the representation of our faculty.

Our robots (MRS group) help map historical objects

In Novinky.cz has been published an interresting article (in Czech language) „Drony z ČVUT pomáhají odkrývat dlouholetá tajemství” (More videos and articles about this topic you can find at the end of this website.) Many thanks for the representation of our department!

Non-rigid object detection with local interleaved sequential alignment

Non-rigid object detection with local interleaved sequential alignment
The successively evaluated features used in a sliding window detection process to decide about object presence/absence also contain knowledge about object deformation. We exploit these detection features to estimate the object deformation. Estimated deformation is then immediately applied to not yet evaluated features to align them with the observed image data. In our approach, the …read more
Responsible person: Petr Pošík