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.
- Josef Sivic co-chaired a session on learning from demonstration at IROS 2022
- Members of the Impact team present 4 papers at ECCV 2022, incl. one oral
- Josef Sivic co-organized the Czech-French AI Workshop on Artificial Intelligence (report)
- The Impact team participates in the European Network of Excellence in Robotics euROBIN
- Paper co-authored by Tomas Pajdla wins the Best Paper Award at CVPR 2022 (report)
- Members of the Impact team have 6 papers accepted at CVPR 2022, incl. one oral and the Best Paper Award
- Our work on learning from Internet videos how to manipulate tools has received the best poster prize at the 2nd International Workshop on AI for Robotics
- Paper co-authored by Tomas Pajdla wins the Marr Prize Best Paper Honorable Mention at ICCV 2021 (report)
- Paper co-authored by Josef Sivic has been invited to the TPAMI Special Issue on the Best Papers of ICCV 2021
- Members of the Impact team present 6 papers at ICCV 2021
- Torsten Sattler is giving a keynote (Lessons Learned from Building Benchmarks for Visual Localization) at IROS 2021
- Paper co-authored by Torsten Sattler on 3D Human Pose Estimation and Self-Localization in Large Scenes was shortlisted among the Best Paper Candidates at CVPR 2021
- Members of the Impact team presented 6 papers at CVPR 2021
- Josef Sivic gave a lecture on multi-modal learning at the EEML 2021 summer school.
- ELLIS Unit Prague at CIIRC CTU is officially inaugurated
- Our 6D object pose estimation method wins a challenge at ECCV 2020
- ELLIS is organizing an online workshop on how to tackle Covid-19 using methods of machine learning and AI
- Our paper PLMP – Point-Line Minimal Problems in Complete Multi-View Visibility (pdf) won the Best Student Paper Award at ICCV 2019
- The European Laboratory for Learning and Intelligent Systems (ELLIS) announced establishment of 17 units, including one at CIIRC CTU in Prague
- Our work on Estimating 3D Motion and Forces of Person-Object Interactions (project page) was shortlisted for Best Paper at CVPR 2019 (top 1% of submitted papers)
- Our work on Neighbourhood Consensus Networks (pdf) was presented as a spotlight at NeurIPS 2018
- Impact talk by Prof. David Fouhey (University of Michigan): Understanding how to get to places and do things (video)
- Project Impact appears in the new issue of the Czech Technical University magazine Technicall (pdf, in Czech)
- Impact talk by Prof. Alexei Efros (UC Berkeley): Self-supervision, Meta-supervision, Curiosity: Making Computers Study Harder (video)
- Two prizes awarded to Josef Šivic in 2017