| 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 16 |
22 |
Matching & Correspondence Networks |
|
| Apr 21 |
23 |
Interpretability and Bias |
|
| Apr 23 |
24 |
Current Trends |
|
