CS5670 Lectures, Spring 2018
Many of the following slides are modified from the excellent class notes of similar courses offered in other schools by Prof Yung-Yu Chuang, Fredo Durand, Alexei Efros, William Freeman, James Hays, Svetlana Lazebnik, Andrej Karpathy, Fei-Fei Li, Srinivasa Narasimhan, Silvio Savarese, Steve Seitz, Richard Szeliski, and Li Zhang. The instructor is extremely thankful to the researchers for making their notes available online. Please feel free to use and modify any of the slides, but acknowledge the original sources where appropriate.
| Class | Date | Topic/notes | Readings | Assignments, etc. |
|---|---|---|---|---|
| 0 | Jan 24 | Introduction and Overview [ppt|pdf] |
Szeliski 1 | |
| 1 | 29 | Image filtering [ppt|pdf] |
Szeliski 3.1 | |
| 2 | 31 | Image filtering 2 [ppt|pdf]  |
Szeliski 3.2 | |
| 3 | 31 | Image Resampling[ppt|pdf]  |
Szeliski 3.4, 2.3.1 | |
| 4 | Feb 4 | Features Detection [ppt|pdf]  |
Szeliski 4.1 | |
| 5 | 4 | Features Invariance updated 05/07 [ppt|pdf] |
Szeliski 4.1 | |
| 6 | 7 | Descriptors [ppt|pdf]  |
Szeliski 4.1 | |
| 7 | 12 | Image Transformation [ppt|pdf]  |
Szeliski 3.6 | |
| 8 | 14 | Alignment [ppt|pdf]  |
Szeliski 6.1 | PA1 due |
| 9 | 14 | RANSAC [ppt|pdf]  |
Szeliski 6.1 | |
| 10 | 21 | Cameras [ppt|pdf]  |
Szeliski 2.1.3-2.1.6 | |
| 11 | 28 | Panoramas [ppt|pdf]  |
Szeliski 9 | |
| 12 | 5 Mar | Single View Modeling [ppt|pdf]  |
Szeliski 9 | |
| 13 | 7 | Stereo [ppt|pdf]  |
Szeliski 7 | PA2 due |
| 14 | 12 | Two-View Geometry [ppt|pdf] |
Szeliski 7.2 | |
| 15 | 14 | SfM updated 03/19 [ppt|pdf]  |
Szeliski 7.1-7.4 | |
| 16 | 19 | MVS [ppt|pdf]  |
Szeliski 11.6 | |
| 17 | 26 | Lighting [ppt|pdf]  |
Szeliski 12 | |
| 18 | 28 | Photometric Stereo [ppt|pdf] |
Szeliski 12 | PA3 due |
| 19 | 9 Apr | Intro to Recognition [ppt|pdf]  |
CS 231N | |
| 20 | 11 | Image Classification [ppt|pdf]  |
CS 231N | |
| 21 | 16 | Loss functions[ppt|pdf]  |
CS 231N | |
| 22 | 18 | Optimization[ppt|pdf]  |
CS 231N | |
| 23 | 23 | CNN[ppt|pdf]  |
CS 231N | |
| 24 | 25 | Back Propagation[ppt|pdf] |
CS 231N | PA4 due |
| 25 | 30 | Training CNNs[ppt|pdf] |
CS 231N | |
| 26 | 2 May | Recent advances in CNNs[ppt|pdf]  |
CS 231N | |
| 27 | 7 | Generative Adverserial Networks[ppt|pdf]  |
CS 231N | |
| 28 | 7 | Review[ppt|pdf]  |
CS 231N | |
| New slides till here | ||||