Shanghai Jiao Tong University

F034606: Visual Computing Theory and Engineering

Springer 2017

Intro | Lectures | Homework | Project | Resources

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(II)

Bingbing Ni

Slides( PDF)

 

8

Deep Learning(III)

Bingbing Ni

-

 

9

Deep Learning(IV)

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)

 


 

SJTU MediaLab