COMS W4732
Computer Vision II: Learning
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
Topics
- 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
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisites: COMS W4731 ; Fundamentals of calculus, linear algebra, and Python programming. Students without any of these prerequisites are advised to contact the instructor prior to taking the course.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Computer Vision II: Learning · 3.00 points · University catalogue