BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251204T043554Z UID:59FE4A5B-65DF-4D61-B075-CD732C6EF30D DTSTART;TZID=America/Los_Angeles:20251124T180000 DTEND;TZID=America/Los_Angeles:20251124T193000 DESCRIPTION:Artificial intelligence continues to drive rapid progress in mo bile computational imaging\, addressing physical constraints of compact mo bile form factor cameras\, such as limited photon capture\, shallow depth of field\, and short focal lengths. Advances in learning-based and generat ive methods are expanding both the quality and creative scope of mobile ph otography. This talk will highlight recent developments in AI-driven imagi ng algorithms and their impact on enhancing visual fidelity and enabling n ew user experiences.\n\nSpeaker(s): Dr. Polley\, \n\nVirtual: https://even ts.vtools.ieee.org/m/515198 LOCATION:Virtual: https://events.vtools.ieee.org/m/515198 ORGANIZER:mislam@SanDiego.edu SEQUENCE:17 SUMMARY:AI Computational Image for Smartphone Camera Experiences URL;VALUE=URI:https://events.vtools.ieee.org/m/515198 X-ALT-DESC:Description: <br /><p class="MsoNormal">Artificial intelligence continues to drive rapid progress in mobile computational imaging\, addres sing physical constraints of compact mobile form factor cameras\, such as limited photon capture\, shallow depth of field\, and short focal lengths. Advances in learning-based and generative methods are expanding both the quality and creative scope of mobile photography. This talk will highlight recent developments in AI-driven imaging algorithms and their impact on e nhancing visual fidelity and enabling new user experiences.</p> END:VEVENT END:VCALENDAR