Week Topic
1- Introduction
2- Camera Fundamentals & Calibration
3- Simple Stereo, Homography
4- Projective Geometry, Essential Matrix, Fundemental Matrix
5- Features, SIFT, Harris Corner Detector
5- Deep Learning Fundamentals
6- CNNs, Transfer Learning
7- Object Detection, R-CNN, YOLO
8- Sequential Models, RNN
9- Transformer Networks
10- Transformers in Computer Vision
11- Student Presentations
12- Student Presentations
13- Student Presentations
14- Student Presentations
Grading
%40 Project
%40 Final
%20 Presentation