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X-WR-CALDESC:Events for ARNI
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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20240119T150000
DTEND;TZID=UTC:20240119T170000
DTSTAMP:20260427T174510
CREATED:20240315T201042Z
LAST-MODIFIED:20240315T201042Z
UID:668-1705676400-1705683600@arni-institute.org
SUMMARY:Animal Behavior Video Analysis Working Group
DESCRIPTION:Title: Multimodal Learning from Pixels to People \nPresenter: Carl Vondrick \nAbstract: People experience the world through modalities of sight\, sound\, words\, touch\, and more. By leveraging their natural relationships and developing multimodal learning methods\, my research creates artificial perception systems with diverse skills\, including spatial\, physical\, logical\, and cognitive abilities\, for flexibly analyzing visual data. This multimodal approach provides versatile representations for tasks like 3D reconstruction\, visual question answering\, and object recognition\, while offering inherent explainability and excellent zero-shot generalization across tasks. By closely integrating diverse modalities\, we can overcome key challenges in machine learning and enable new capabilities for computer vision\, especially for the many upcoming applications where trust is required. \nJoin Zoom Meeting:\nhttps://columbiauniversity.zoom.us/j/96127949475pwd=TWxLa3A3a3lBRjdqbDBWMkRycHFMZz09 \nMeeting ID: 948 4868 7512\nPasscode: 446335
URL:https://arni-institute.org/event/animal-behavior-video-analysis-working-group-2/
LOCATION:CSB 480\, Mudd Building\, 500 W 120th Street
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BEGIN:VEVENT
DTSTART;TZID=UTC:20231201T150000
DTEND;TZID=UTC:20231201T170000
DTSTAMP:20260427T174510
CREATED:20240315T201133Z
LAST-MODIFIED:20240315T201133Z
UID:671-1701442800-1701450000@arni-institute.org
SUMMARY:Animal Behavior Video Analysis Working Group
DESCRIPTION:Title: Precise quantification of natural behavior with computer vision \nAbstract: To understand the neural control of movement\, cognition\, and social interaction\, we need to precisely quantify motor behaviors. Deep learning tools now enable to extract meaningful behavioral signals from raw videos\, in high spatiotemporal resolution. These technologies are gaining increasing adoption in system neuroscience and are transforming the field in many ways. We will provide an overview of the field\, present the limitations of some of the standard approaches\, and present some of our own work on pose tracking (keypoint detection) and perhaps behavioral segmentation (discovering discrete behavioral motifs). We look forward to exploring fresh perspectives on this important problem. \nJoin Zoom Meeting:\nhttps://columbiauniversity.zoom.us/j/95557736296pwd=V2tTNEVOellZMENGUDF5RXVwcUUyQT09 \nMeeting ID: 948 4868 7512\nPasscode: 446335
URL:https://arni-institute.org/event/animal-behavior-video-analysis-working-group-3/
LOCATION:Zuckerman Institute – L5-084\, 3227 Broadway\, New York\, NY\, United States
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