In this course, our objective is to present fundamental knowledge ranging from classic computer vision methods to those inspired by deep learning. We will cover basic concepts of computer vision, explore representative problems, and discuss various solving strategies. Additionally, we aim to provide students with a historical perspective on the evolution of classical ideas in computer vision and their integration with recent advancements in deep-learning-based approaches.
Class time and location: Tuesday 13:00~15:00 / Thursday 13:00~14:00 - 310관 729호
Textbook (Reference): Deep Learning: GoodFellow
Repository: https://github.com/PiLab-CAU/ComputerVision-2501
Tuesday: 16:00~17:00, 305관 712호
Attendance: 10%
Midterm Exam: 35%
Final Exam: 45%
(Additional) Participation score: 10%
Opening an Issue: 3%
Add discussion comments: 1%
Attendance policy: Accept <=1/4 absent overall class. Offline Attendance check.