Computer Vision – Machine Learning – Robotics
We are hiring … join our team … in Prague & Paris!
Scientific objectives. The IMPACT project focuses on fundamental and applied research in computer vision, machine learning and robotics to develop machines that learn to perceive, reason, navigate and interact with complex dynamic environments. For example, people easily learn how to change a flat tire of a car or perform resuscitation by observing other people doing the same task. This involves advanced visual intelligence abilities such as interpreting sequences of human actions that manipulate objects to achieve a specific task. Currently, however, there is no artificial system with a similar level of cognitive visual competence.
Applications. Breakthrough progress in intelligent machine perception will have profound implications on our everyday lives as well as science and commerce, with smart assistive robots that automatically learn new skills from the Internet, safer cars that autonomously navigate in difficult changing conditions, or intelligent glasses that help people navigate never seen before environments.
- Our work on Estimating 3D Motion and Forces of Person-Object Interactions has been accepted for oral presentation at CVPR 2019. The pre-print will be a available soon.
- Our work on Neighbourhood Consensus Networks was presented as a spotlight at NeurIPS 2018. The paper is available here.
- Recording of talk by Prof. David Fouhey (University of Michigan): “Understanding how to get to places and do things“
- Project Impact appears in the new issue of the Czech Technical University magazine Technicall (pdf, in Czech only)
- Recording of talk by Prof. Alexei Efros (UC Berkeley): “Self-supervision, Meta-supervision, Curiosity: Making Computers Study Harder”
- Two prizes awarded to Josef Šivic in 2017