CS-5864: Learning-based Computer Vision
Description: Comprehensive introduction to modern computer vision. Fundamental concepts in computer vision and pattern recognition such as filtering, alignment, and matching. Survey of computer vision tasks, models, and learning techniques related to vision architectures, visual recognition methods, multimodal and generative models, and select advanced topics.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 2
Average GPA: 3.79 (rounds to A-)
Strict A Rate (No A-) : 66.30%
Average Withdrawal Rate: 0.00%
| Delul Pinar Yanardag | 2024 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.95 | 1 |
| Christopher L Thomas | 2023 | 64.0% | 36.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.63 | 1 |