This schedule is tentative and may change.
| Date | Topic | Materials |
|---|---|---|
| January 17 | Course Introduction |
|
| January 19 | Human Vision and Color | |
| January 22 | Sampling and Aliasing | |
| January 24 | Linear Filters | |
| January 26 | Python Crash Course |
|
| January 29 | Interest Points | |
| January 31 | Image Features | |
| February 2 | HOG and SIFT | |
| February 5 | Bag of Visual Words and Feature Matching | |
| February 7 | RANSAC | |
| February 9 | CANCELLED |
|
| February 12 | Hough Transforms | |
| February 14 | K-Means Clustering | |
| February 16 | Image Segmentation and Active Contours | |
| February 19 | Image Segmentation via Clustering | |
| February 21 | Optical Flow | |
| February 23 | Tracking | |
| February 26 | Kalman Filters | |
| February 28 | Camera Models | |
| February 30 | Supervised Learning | |
| March 4 | Camera Calibration | |
| March 6 | Stereo Vision | |
| March 8 | CANCELLED |
|
| March 18 | Neural Networks | |
| March 20 | Deep Learning | |
| March 22 | Convolutional Neural Networks | |
| March 25 | PyTorch Tutorial |
|
| March 27 | Pytorch Lightning Tutorial |
|
| March 29 | CANCELLED |
|
| April 1 | Optimization for Deep Learning | |
| April 3 | Object Detection |
|
| April 5 | Recurrent Neural Networks | |
| April 8 | CANCELLED: Solar Eclipse |
|
| April 10 | Transformers | |
| April 12 | Transformers for Computer Vision |
|
| April 15 | Instance Segmentation |
|
| April 17 | Generate Adversarial Networks |
|
| April 19 | Diffusion Models | |
| April 22 | Pose Estimation |
|
| April 24 | Project Presentations |
|
| April 26 | Project Presentations |
|
| April 29 | Project Presentations |
|