BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Hi! PARIS - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Hi! PARIS
X-ORIGINAL-URL:https://hi-paris.fr
X-WR-CALDESC:Events for Hi! PARIS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260618T110000
DTEND;TZID=Europe/Paris:20260618T120000
DTSTAMP:20260610T041413
CREATED:20260527T103835Z
LAST-MODIFIED:20260527T110002Z
UID:10000024-1781780400-1781784000@hi-paris.fr
SUMMARY:Hi! PARIS Exceptional Seminar - “How to Design Fast GFTs” by Antonio Ortega\, University of Southern California
DESCRIPTION:Hi! PARIS is pleased to welcome Antonio Ortega\, Professor of Electrical and Computer Engineering at the University of Southern California\, for a scientific seminar organized in the framework of the Hi! PARIS International Visiting Chairs Program. \nHis talk\, titled “How to Design Fast GFTs\,” will provide an overview of recent advances in speeding up the computation of the Graph Fourier Transform\, also known as GFT. \nGraph Fourier Transforms play an important role in graph signal processing\, with applications in image and video coding\, graph machine learning\, multimedia compression\, 3D point cloud processing\, and sensor networks. However\, computing these transforms efficiently remains a key challenge\, especially for large or complex graph structures. \nAntonio Ortega will present divide-and-conquer techniques that make use of graph structure\, including graph symmetries and graph decompositions based on low-rank updates. He will also discuss approximation methods for cases where the graph structure alone does not provide enough acceleration. These include direct transform approximations using Givens rotations\, as well as indirect methods that rely on more favorable graph structures\, such as spectral sparsification. \nThe seminar will highlight how these approaches can improve the efficiency of graph-based signal processing methods and support applications in image and video coding\, graph machine learning\, and related fields. \nAbout the speaker \nAntonio Ortega is Professor of Electrical and Computer Engineering at the University of Southern California. He is a Fellow of the IEEE and EURASIP\, and currently serves as Vice President of Publications of the IEEE Signal Processing Society. \nHis research focuses on graph signal processing\, including sampling\, reconstruction\, transforms\, learning\, and compression\, as well as multimedia and 3D point cloud compression\, distributed and error-tolerant compression\, and information representation in sensor networks. \nHe has supervised nearly 50 Ph.D. students\, authored more than 400 publications\, and published the book Introduction to Graph Signal Processing with Cambridge University Press in 2022. His work has received several distinctions\, including the IEEE Signal Processing Magazine Award\, the ICIP Best Paper Award\, and the IEEE Communications Society Leonard G. Abraham Prize. \nRegister here!
URL:https://hi-paris.fr/event/hi-paris-exceptional-seminar-how-to-design-fast-gfts-by-antonio-ortega-university-of-southern-california/
LOCATION:Télécom Paris\, 19 Pl. Marguerite Perey\, Palaiseau\, 91120\, France
CATEGORIES:Research
ATTACH;FMTTYPE=image/jpeg:https://hi-paris.fr/wp-content/uploads/2026/05/Banner-events-website-30-1.jpg
ORGANIZER;CN="Hi! PARIS":MAILTO:contact@hi-paris.fr
END:VEVENT
END:VCALENDAR