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BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Penn Engineering Events - ECPv6.18.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Penn Engineering Events X-ORIGINAL-URL:https://seasevents.nmsdev7.com X-WR-CALDESC:Events for Penn Engineering Events REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20180311T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20181104T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20190310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20191103T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20190312T150000 DTEND;TZID=America/New_York:20190312T160000 DTSTAMP:20190215T144643Z CREATED:20190215T144643Z LAST-MODIFIED:20190215T144643Z UID:1313-1552402800-1552406400@seasevents.nmsdev7.com SUMMARY:CIS Seminar: "Towards Embodied Visual Intelligence" DESCRIPTION:What would it mean for a machine to see the world? Computer vision has recently made great progress on problems such as finding categories of objects and scenes\, and poses of people in images. However\, studying such tasks in isolated disembodied contexts\, divorced from the physical source of their images\, is insufficient to build intelligent visual agents. My research focuses on remarrying vision to action\, by asking: how might vision benefit from the ability to act in the world\, and vice versa? Could embodied visual agents teach themselves through interaction and experimentation? Are there actions they might perform to improve their visual perception? How might they construct visual plans to achieve long-term action goals? In my talk\, I will set up the context for these questions\, and cover some strands of my work addressing them\, proposing approaches for self-supervised learning through proprioception\, visual prediction for decomposing complex control tasks\, and active perception. Finally\, I will discuss my long-term vision and directions that I hope to work on in the next several years URL:https://seasevents.nmsdev7.com/event/cis-seminar-towards-embodied-visual-intelligence/ LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States END:VEVENT END:VCALENDAR