Note that this schedule is not set in stone. Some topics and dates may change during the course of the semester.
| Date | Lecture | Topic | Notes | Readings |
|---|---|---|---|---|
| Jan 8 | 01 | Course Intro | Sz: Ch. 1 | |
| Jan 10 | 02 | Digital Images, A Simple Visual System | ||
| Jan 15 | No Class (MLK Day) | |||
| Jan 17 | 03 | Pinhole Cameras, Camera Parameters, Geometric Transforms | HW 1 Released | Sz: Ch. 2 |
| Jan 22 | 04 | Geometric Transforms, Panorama Stitching | Sz: Ch. 2 | |
| Jan 24 | 05 | Panorama Stitching, Depth from Stereo | ||
| Jan 29 | 06 | Signal Processing 1: Linear Operations, Convolutions, Fourier Spectra | Sz: 3.2-3.4 | |
| Jan 31 | 07 | Signal Processing 2: Fourier Spectra Continued, Filters | Sz: 3.2-3.4 | |
| Feb 5 | 08 | Multiscale Pyramids | Sz: 3.5 | |
| Feb 7 | 09 | Textures | Sz: 10.5 | |
| Feb 12 | 10 | Segmentation | Sz: 4.3 | |
| Feb 14 | 11 | Motion Estimation: Optical Flow | Sz: 9.1, 9.3 | |
| Feb 19 | Midterm (In Class) | |||
| Feb 21 | 12 | Machine Learning 1 | Sz: 5.1-5.2 | |
| Feb 26 | 13 | Machine Learning 2 | Sz: 5.3-5.4 | |
| Feb 28 | 14 | Neural Networks | Sz: 5.3-5.4 | |
| Mar 4 | 15 | CNNs | ||
| Mar 6 | 16 | Implementing and Testing Neural Networks | Sz: 6 | |
| Mar 11 | No Class (Spring Break) | |||
| Mar 13 | No Class (Spring Break) | |||
| Mar 18 | 17 | Object Detection | ||
| Mar 20 | 18 | Sequence Modeling | ||
| Mar 25 | 19 | Self-Supervised Learning | ||
| Mar 27 | 20 | Image Synthesis 1 | ||
| Apr 1 | 21 | Image Synthesis 2 | ||
| Apr 3 | 22 | 3D Vision + Learning | ||
| Apr 8 | No Class | |||
| Apr 10 | 23 | Responsible Vision | Sz: 13 | |
| Apr 15 | 24 | Current Trends and Future Goals | ||
| Apr 29 | Final |