Dr. Cordelia Schmid
- Section Informatics
- Location Grenoble, France
- Election year 2017
Research
Research Priorities: Computer Science, artificial intelligence, pattern recognition, action identification, vision
Cordelia Schmid is a German computer scientist. Central to her research is the development of intelligent and adaptive machines – the study of artificial intelligence. Her ability to teach machines to “see” is held in high regard. For this purpose, it is not enough to equip a robot with a camera or an optical sensor. The machine must preferably be able to analyse the image data and to react meaningfully with its environment. It is vital that the machine not only is able to recognize patterns but also actions when it interacts with humans.
The same applies to digital image processing and the search for images in the rapidly growing databases worldwide. Computer programmes can learn to recognise the content of images and videos. Cordelia Schmid develops applications that can identify actors and storylines in movies. The freer of errors these applications are, the better the gigantic amounts of images of modern media society can be managed and meaningfully used.
Cordelia Schmid is a German computer scientist. Central to her research is the development of intelligent and adaptive machines – the study of artificial intelligence. Her ability to teach machines to “see” is held in high regard. For this purpose, it is not enough to equip a robot with a camera or an optical sensor. The machine must preferably be able to analyse the image data and to react meaningfully with its environment. It is vital that the machine not only is able to recognize patterns but also actions when it interacts with humans.
The same applies to digital image processing and the search for images in the rapidly growing databases worldwide. Computer programmes can learn to recognise the content of images and videos. Cordelia Schmid develops applications that can identify actors and storylines in movies. The freer of errors these applications are, the better the gigantic amounts of images of modern media society can be managed and meaningfully used.
Career
- since 2018 Principal Scientist (part time), Google LLC
- since 2004 Research Director, National Institute for Research in Digital Science and Technology (Institut National de Recherche en Informatique et en Automatique) Inria), Grenoble, France
- 2001 Habilitation in Computer Science, Institut National Polytechnique, Grenoble, France
- 1997-2004 Research Associate, Inria, Grenoble, France
- 1996 - 1997 Research Associate, Robotics Research Group, Oxford University, Oxford, UK
- 1996 PhD in Computer Science, Institut National Polytechnique, Grenoble, France
- 1993-1996 PhD Student in Computer Science
- 1992 Master of Science in Computer Science, Universität (TH) Karlsruhe, Karlsruhe, Germany
Functions
- 2023 Chair, International Conference on Computer Vision (ICCV)
- 2020 Member, Award Committee, Computer Vision and Pattern Recognition Conference (CVPR), Institute of Electrical and Electronics Engineers (IEEE)
- 2020 Chair, European Conference on Computer Vision (ECCV)
- 2017 Member, Award Committee for France, L’Oréal-UNESCO Award for Women in Sciences
- 2015 Chair, CVPR, IEEE
- 2015, 2014 Member, Award Committee, Young Researcher Award
- 2013-2018 Editor-in-Chief, International Journal of Computer Vision
- 2012 Programme Director, ECCV
- 2005 Programme Director, CVPR, IEEE
- 2004-2012 Co-Editor, International Journal of Computer Vision
Projects
- 2016-2018 Head, Team „THOTH – Computer vision and machine learning”, Inria, Grenoble, France
- 2013 Advanced Grant, European Research Council (ERC)
- 2003-2015 Head, Team „LEAR”, Inria, Grenoble, France
Honours and Memberships
- 2024 European Inventor Award, European Patent Office
- 2023 Körber European Science Prize, Körber Foundation, Hamburg, Germany
- 2022 Fellow, Asia-Pacific Artificial Intelligence Association
- 2022 Winner, Ego4D Challenge for AV Transcirption, ECCV
- 2022 Winner, Epic-Kitchen Action Recognition Challenge, CVPR, IEEE
- 2021 PAMI Distinguished Researcher Award, IEEE
- 2021 Winner, REVERIE / Soon Challenge, ICCV
- 2020 Milner Award, Royal Society, UK
- 2020 Fellow, European Laboratory for Learning and Intelligent System ELLIS
- 2020 Winner, Video Pentathlon Challenge
- 2018 Koenderink Prize, ECCV
- 2018 Inria-Académie des sciences Grand Prize, Fondation Inria and Académie des sciences, France
- since 2017 Member, German National Academy of Science Leopoldina
- 2017, 2016, 2015 Highly Cited Researcher, Clarivate Analytics, London, UK
- 2016, 2014, 2006 Longuet-Higgins Prize, CVPR, IEEE
- 2015 Humboldt Research Award, Alexander von Humboldt Foundation, Bonn, Germany
- 2015 Winner, Competition „VOT-TIR Tracking (Visual Object Tracking – Thermal Imagery)”
- 2014 Winner, „Action Recognition in Temporally Untrimmed Videos”, Challenge THUMOS, CVPR, IEEE
- 2012 Fellow, IEEE
- 1999 Best Conference Paper, International Society for Photogrammetry and Remote Sensing (ISPRS)
- 1997 Award for the Best PhD-Thesis, Institut National Polytechnique, Grenoble, France
- 1993-1996 Marie Curie Fellowship, European Union and Fellowship, Inria, France