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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Spring 2022 Computer Science W4732 section 001
Computer Vision II: Learning
Computer Vision II: Learn

Call Number 12442
Day & Time
Location
F 10:10am-12:40pm
417 International Affairs Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Carl Vondrick
Type LECTURE
Method of Instruction In-Person
Course Description Advanced course in computer vision. Topics include convolutional networks and back-propagation, object and action recognition, self-supervised and few-shot learning, image synthesis and generative models, object tracking, vision and language, vision and audio, 3D representations, interpretability, and bias, ethics, and media deception. 
Web Site Vergil
Department Computer Science
Enrollment 130 students (123 max) as of 8:03AM Monday, November 28, 2022
Status Full
Subject Computer Science
Number W4732
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20221COMS4732W001

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SIS update 11/28/22 08:03    web update 11/28/22 08:24