Lectures
| Lecture |
Subject |
Description |
Lecturer |
Course Materials |
| 1 |
Introduction |
Overview of this course and background knowledge |
Li Song |
Slides (PDF ) |
| 2 |
David Marr’s Theory |
Introduction of David Marr’s Visual Computing Theory |
Li Song |
Slides ( PDF) (Book) |
| 3 |
Biological models |
HVS Basics, and latest biological vision |
Li Song |
Slides( PDF)video1,Video2, video3,Video4,video5 |
| 4 |
Sparse Model |
Sparse Representation for low level vision problem |
Li Song |
Slides( PDF)video1,Video2, video3,Video4,video5,Video6, video7,Video8, |
| 5 |
Pattern Recognition & Machine Learning |
Introduction of Pattern Recognition & Machine Learning |
Chongyang Zhang |
Slides( PDF) |
| 6 |
Deep Learning |
Deep Learning(I) |
Bingbing Ni |
Slides( PDF) |
| 7 |
Deep Learning |
Deep Learning(II) |
Bingbing Ni |
Slides( PDF) |
| 8 |
Deep Learning |
Deep Learning(II) |
Bingbing Ni |
- |
| 9 |
Deep Learning |
Deep Learning(II) |
Bingbing Ni |
Slides( PDF) |
| 10 |
Application |
Deep learning for survillence(I) |
Prof. Weiyao Lin |
Slides( PDF) |
| 11 |
Application |
Deep learning for survillence(II) |
Prof. Hua Yang |
Slides( PDF) |
Last updated on 2021-01-01