CS5670 Lectures, Spring 2019

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.

This page is frequently updated. Lectures without date are from last year's offering. They would be updated when the lecture takes place.

Class Date Topic/notes Readings Assignments, etc.
0 Jan 23 Introduction and Overview [ppt|pdf]
Szeliski 1  
1 28 Image filtering [ppt|pdf]
Szeliski 3.1  
2 30 Image filtering 2 [ppt|pdf]
Szeliski 3.2  
3 Feb 4 Image Resampling[ppt|pdf]
Szeliski 3.4, 2.3.1  
  6 Guest Lecture by Brad Smith

Facial Recognition: Coming to a street corner near you
video link  
4 11 Features Detection [ppt|pdf]
Szeliski 4.1 video link
5 13 Features Invariance [ppt|pdf]
Szeliski 4.1 video link
6 18 Descriptors [ppt|pdf]
Szeliski 4.1  
7 20 Image Transformation [ppt|pdf]
Szeliski 3.6  
  25 February break

Class cancelled
   
8 27 Alignment [ppt|pdf]
Szeliski 6.1  
  Mar 4 Campus closure

Class cancelled
   
9 6 RANSAC [ppt|pdf]
Szeliski 6.1  
10 11 Cameras [ppt|pdf]
Szeliski 2.1.3-2.1.6  
11 13 Panoramas [ppt|pdf]
Szeliski 9  
12 18 Single View Modeling [ppt|pdf]
Szeliski 9 video link
13 20 Single View Modeling [ppt|pdf]
Szeliski 7 video link
14 25 Stereo [ppt|pdf]
Szeliski 7.2 video link
15 27 Two-View Geometry [ppt|pdf]
Szeliski 7 video link
  Apr 1 Spring break

Class cancelled
   
  3 Spring break

Class cancelled
   
16 8 Lighting [ppt|pdf]
Szeliski 12 video link
17 10 Photometric Stereo [ppt|pdf]
Szeliski 12 video link
18 15 MVS [ppt|pdf]
Szeliski 11.6 video link
  15 SfM [ppt|pdf]
Szeliski 7.1-7.4 This lecture were covered in the previous and the following sessions.
19 17 Intro to Recognition [ppt|pdf]
CS 231N video link
20 22 Image Classification [ppt|pdf]
CS 231N video link
21 24 CNN[ppt|pdf]
CS 231N video link
22 29 GAN (Guest Lecture by Jin Sun)[ppt|pdf]
CS 231N video link
23 May 1 Recent Work[ppt|pdf]
CS 231N video link
  1 Review[ppt|pdf]
CS 231N See the previous lecture for video link.
  End of Class


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