Computer vision is a part of artificial intelligence and is responsible for its ability to recognize images, describe them and extract the most important information from the received data. To teach the ‘machine’ in this way to ‘see’ and understand images, events, environment is one of the most difficult tasks that scientists had to solve in the last decade. The advent of computer vision has had a huge impact on the development of robotics, unmanned vehicles, augmented reality, medical diagnostics and many other industries.
The first international summit in Russia and the CIS countries ‘Machines Can See’ will enable computer vision specialists to gain access to international experience. At one of the lectures Stanford and MIT professor, author of the book ‘Computer vision: a modern approach’ Jean Ponce will talk about restoring images using computer vision. In addition, INRIA Research Director in France, Cordelia Schmid, who was awarded the Humboldt Research Award for her contribution to the study of computer vision, will talk about recognizing human actions on video clips, and Soumith Chintala, Researcher at Facebook AI Research, will present overview of the main types of tasks for researchers in machine learning and will talk about modern software frameworks for their solution. Among the Russian speakers there will be Victor Lempitsky, Associate Professor at Skoltech, with a lecture on the realistic synthesis of the neural image and Dmitry Vetrov, the founder of the research group of Bayesian methods, with a talk on their application for training neural networks.
Several scientific developments of the participants will be selected to be presented to scientists and guests of the summit. Researchers and development teams will be able to hold a presentation in the format of posters or demos. To apply, please, use the summit's website.
During the summit each visitor will be able to check the work of face recognition on himself. For trying this you should upload your photo in advance during the registration. Than the computer with the camera at the entrance will try to recognize your personality at a glance.
10:30 - 11:00 - Registration
11:00 - 11:15 - Welcome speech
11:15 - 13:15 - Russian Speakers
Dmitry Vetrov – ‘Deep Neural Networks: Bayesian Perspective’
Viktor Lempitsky – ‘Towards realistic neural image synthesis’
Konstantin Lachman – ‘Wide nets for all kinds of fish: making multi-task semantic image features work in production’
Alexander Chigorin – ‘Pushing neural networks to production on different platforms. Common problems and possible solutions’
13:15 - 15:00 - Poster and Demo sessions
15:00 - 19:30 - International Speakers
Cordelia Schmid – ‘Structured Models for Human Action Recognition’
Jean Ponce – ‘Machine Learning for Image Restoration’
Jiri Matas – ‘Multi-Class Model Fitting by Energy Minimization and Mode-Seeking’
Alexei Efros – 'Self-Supervised Visual Learning and Synthesis'
Soumith Chintala – ‘Dynamic Deep Learning: New Trends in AI Research’
19:30 - 19:45 - Closing remarks
Accreditation - email@example.com.