| Date | Lecture | Topic | Readings in Szeliski’s Book |
|---|---|---|---|
| Jan 13 | 01 | Course Intro, Digital Images | 1.1, 1.2 |
| Jan 15 | 02 | Pinhole Cameras, 2D Geometric Transforms | 2.1 |
| Jan 22 | 03 | Multi-View Geometry: Panorama Stitching, Epipolar Geometry, Depth from Stereo | 8.1, 8.2, 12.1 |
| Jan 27 | 04 | Signal Processing 1: Linear Filters, Convolutions | 3.2, 3.3.1 |
| Jan 29 | 05 | Signal Processing 2: Fourier Perspectives | 3.4 |
| Feb 3 | 06 | Signal Processing 3: Pyramids | 3.5.1-3.5.3, 3.5.5 |
| Feb 5 | Class Canceled | ||
| Feb 10 | 07 | Classic Mid-Level Vision: Corners, Edges, Lines | 7.1.1, 7.2.1,7.4.2 |
| Feb 12 | 08 | Classic Segmentation | 7.5 |
| Feb 17 | 09 | Optical Flow | |
| Feb 19 | 10 | Statistical Image Models | |
| Feb 24 | 11 | Machine Learning | |
| Feb 26 | Midterm (In Class) | ||
| Mar 3 | 12 | Neural Networks | |
| Mar 5 | 13 | CNNs | |
| Mar 10 | 14 | Implementing and Testing Neural Networks | |
| Mar 12 | 15 | Object Detection and Segmentation | |
| Mar 24 | 16 | Sequence Modeling, Transformers | |
| Mar 26 | 17 | Self-Supervised Learning | |
| Mar 31 | 18 | Contrastive Learning, Audio + Vision | |
| Apr 2 | 19 | Image Synthesis | |
| Apr 7 | 20 | Image Synthesis, Cont’d | |
| Apr 9 | 21 | 3D Vision and Differentiable Rendering | |
| Apr 14 | 22 | NeRF, CLIP, StyleGAN, + Applications | |
| Apr 16 | 23 | Interpretability and Bias | |
| Apr 21 | 24 | Foundation Models, Current Trends | |
| Apr 23 | 25 | Topic Review |