Spring 2027 Computer Science W4732 section 001

Computer Vision II: Learning

Computer Vision II: Learn

Call Number 14072
Day, Time & Location View Class Schedule & Location in Vergil
Points 3
Grading Mode Standard
Approvals Required None
Instructor Aleksander Holynski
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. 

Department Computer Science
Enrollment 0 students (110 max) as of 9:06PM Wednesday, October 14, 2026
Subject Computer Science
Number W4732
Section 001
Division School of Engineering and Applied Science: Graduate
Section key 20271COMS4732W001