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35. PIS: Josef Sivic: Automatic Visual Recognition: from Internet Images towards Machines that See

26 Apr 2018   16:00-18:00


Building machines that can automatically understand complex visual inputs is one of the central problems in artificial intelligence with applications in autonomous robotics, automatic manufacturing or healthcare. The problem is difficult due to the large variability of the visual world. I will present our contributions to the recent progress in automatic visual understanding and discuss some of the key open challenges.

First I will discuss the recent successes that are, in large part, due to a combination of learnable visual representations based on convolutional neural networks, supervised machine learning techniques and large-scale Internet image collections. Then I will argue that in order to build machines that understand the changing visual world the challenges lie in developing visual representations that generalize to yet unseen conditions and are learnable from noisy and only partially annotated data.


Josef Sivic holds a senior researcher position at INRIA in Paris and a distinguished senior researcher position at the Czech Institute of Informatics, Robotics and Cybernetics at the Czech Technical University in Prague where he leads a newly created intelligent machine perception team. He received his habilitation from École Normale Supérieure in Paris in 2014, the PhD degree from the University of Oxford in 2006 and the MSc degree from the Czech Technical University in 2002. Before joining INRIA he was a post-doctoral associate at the Computer Science and Artificial Intelligence Lab at the Massachusetts Institute of Technology. He received the Sullivan Thesis Prize from the British Machine Vision Association and his papers have been awarded the Longuet-Higgins prize (CVPR’07) and the Helmholtz prize (ICCV’03, ICCV’05) for fundamental contributions to computer vision that withstood the test of time. He is a senior fellow of the Learning in Machines & Brains program at the Canadian Institute of Advanced Research. He was awarded an ERC Starting Grant in 2013.


The seminar will take place on the 4th Thursday of each month at 4:00pm (except June, July, August and December) alternately in the buildings of Faculty of Electrical Engineering, Czech Technical University, Karlovo nám. 13, Praha 2 and Faculty of Mathematics and Physics, Charles University, Malostranské nám. 25, Praha 1.

Its program will consist of a one-hour lecture followed by a discussion. The lecture should be based on an (internationally) exceptional or remarkable achievement of the lecturer, presented in a way which is comprehensible and interesting to a broad computer science community. The lectures will be in English.
The seminar framework was laid out by the preparatory committee consisting of Michal Chytil (Czech Academy of Sciences, Computer Science Institute), Pavel Kordík (Czech Tech. Univ., Faculty of Information Technologies), Jan Kybic (Czech Tech. Univ., Faculty of Electrical Engineering), Michal Pěchouček Czech Tech. Univ., Faculty of Electrical Engineering), Jiří Sgall (Charles University, Faculty of Mathematics and Physics), Vojtěch Svátek (University of Economics, Faculty of Informatics and Statistics), Michal Šorel (Czech Academy of Sciences,Institute of Information Theory and Automation), and Filip Železný (Czech Tech. Univ., Faculty of Electrical Engineering)

The idea to organize this seminar emerged in discussions of the representatives of several research institutes on how to avoid the undesired fragmentation of the Czech computer science community.

S5, MFF UK, Malostranské nám. 25, Praha 1
Přípravný výbor PIS
Contact person
Aneta Klaudis, klaudane@fel.cvut.cz, 224 35 7667
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