BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//labri.fr//NONSGML kigkonsult.se iCalcreator 2.41.92//
CALSCALE:GREGORIAN
METHOD:PUBLISH
UID:53012638-373a-4d78-869a-ad8afb66f569
X-WR-CALNAME:Kévin Reby thesis: Human pose analysis using deep learning
X-WR-TIMEZONE:Europe/Paris
BEGIN:VTIMEZONE
TZID:Europe/Paris
TZUNTIL:20241027T010000Z
BEGIN:STANDARD
TZNAME:CET
DTSTART:20221030T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20231029T030000
END:STANDARD
BEGIN:DAYLIGHT
TZNAME:CEST
DTSTART:20220327T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RDATE:20230326T020000
RDATE:20240331T020000
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BEGIN:VEVENT
UID:53012638-373a-4d78-869a-ad8afb66f569
DTSTAMP:20260425T171847Z
CLASS:PUBLIC
DESCRIPTION:Kévin Reby\, I&amp\;S department (TAD team)\, will submit his t
 hesis entitled: 'Automatic recognition of pain from body posture by deep l
 earning'.\n
DTSTART;TZID=Europe/Paris:20221214T133000
DTEND;TZID=Europe/Paris:20221214T173000
LOCATION:Amphi E (Bât A29)
ORGANIZER;CN=Marie Beurton-Aimar:mailto:marie.beurton@labri.fr
SEQUENCE:0
SUMMARY:Kévin Reby thesis: Human pose analysis using deep learning
TRANSP:OPAQUE
END:VEVENT
END:VCALENDAR
