Vít Růžička
Vít Růžička
Department of Computer Science,
Robert Hooke Building
Directions Postal Address
See Also:
Interests
I like Machine Learning research, Arts, literature, traveling and analog photography.
Biography
Currently, I am a DPhil student at the Department of Computer Science at the University of Oxford, supervised by Niki Trigoni and Andrew Markham. In 2019-20, I was working as a research assistant and lecturer at the University of the Arts London in the Creative Computing Institute. Before that I was on a research internship at ETH Zurich in the EcoVision group (2019) and at Carnegie Mellon University in Franz Franchetti’s group (2017-18). I did my MSc and BSc at the Czech Technical University in Prague.
News
- August 2023, World breakthrough in onboard AI model training presented by Φ-lab at IGARSS, ESA Φ-lab News, (link)
- July 2023, Researchers successfully train a machine learning model in outer space for the first time, Oxford News, (link)
- October 2022, AI on satellites for autonomous detection of disaster events, Inspired Research, Winter 2022, Issue 21, page 20, (link)
Presentations
- November 2022, STARCOP: ML models for onboard detection of methane leaks in multispectral and hyperspectral sensors, ECMWF–ESA Workshop, (link)
Teaching
- 2022-2023, Things of the Internet, Lecturer: Andrew Markham, University of Oxford - Computer Science, Software Engineering, (materials)
- 2022, Machine Learning, AIMS, Lecturer: Atılım Güneş Baydin, University of Oxford - CDT in Autonomous Intelligent Machines and Systems, (materials)
- 2021-2022, Artificial Intelligence for the Media, Lecturer: Louis McCallum, University of the Arts London - Creative Computing Institute, (materials)
- 2020, Exploring Machine Intelligence, Lecturer: Vít Růžička, University of the Arts London - Creative Computing Institute, (materials)
Selected Publications
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Fast model inference and training on−board of Satellites
Vít Růžička‚ Gonzalo Mateo−García‚ Chris Bridges‚ Chris Brunskill‚ Cormac Purcell‚ Nicolas Longépé and Andrew Markham
In IGARSS Session: The Age of AI and Edge Computing in Space Has Come. 2023.
Details about Fast model inference and training on−board of Satellites | BibTeX data for Fast model inference and training on−board of Satellites
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RaVÆn: unsupervised change detection of extreme events using ML on−board satellites
Vít Růžička‚ Anna Vaughan‚ Daniele De Martini‚ James Fulton‚ Valentina Salvatelli‚ Chris Bridges‚ Gonzalo Mateo−Garcia and Valentina Zantedeschi
In Scientific reports. Vol. 12. No. 1. Pages 16939. 2022.
Details about RaVÆn: unsupervised change detection of extreme events using ML on−board satellites | BibTeX data for RaVÆn: unsupervised change detection of extreme events using ML on−board satellites
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Deep active learning in remote sensing for data efficient change detection
Vít Růžička‚ Stefano D'Aronco‚ Jan Dirk Wegner and Konrad Schindler
In ECML/PKDD Workshop on Machine Learning for Earth Observation‚ 2020. 2020.
Details about Deep active learning in remote sensing for data efficient change detection | BibTeX data for Deep active learning in remote sensing for data efficient change detection