| Call Number | 12363 |
|---|---|
| Day & Time Location |
F 9:10am-11:40am 451 Computer Science Building |
| 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. |
| Web Site | Vergil |
| Department | Computer Science |
| Enrollment | 0 students (110 max) as of 10:05AM Friday, October 10, 2025 |
| Subject | Computer Science |
| Number | W4732 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Section key | 20261COMS4732W001 |