CS 554: Computer Vision

Spring 2022

UPDATES / NEWS:


Catalog Description: Basic concepts in computational vision. Relation to human visual perception. The analysis and understanding of image and video data. Mathematical foundations, image representation, feature extraction, camera geometry and image alignment, stereo and 3-D reconstruction, convolutional neural networks, face processing, object and scene recognition, conditional and Markov random fields, tracking, action recognition.

Recommended Books:

Assessment Methods:

Homework 20%
Literature Survey and Presentation 10% + 5%
Midterm:Essay/written 30%
Project 35%

Any of the following will directly result in an F grade:


Prerequisites:

Passing Grade: No predetermined grade to pass the course.

Makeup Policy: Medical report holders will be entitled for the midterm make up. Makeup exam will be comprehensive.

Homework:
Please follow this link to access the homework details. Homework details/materials are accessible only within Bilkent network. Use VPN to access from home.

Literature Survey and Presentation:

Project:

Template for the Reports:
All reports (including homework report) must be prepared using the IEEE double-column transactions article template (i.e. "bare_jrnl.tex").

Important Dates:

Event Date / Deadline
Midterm Exam 29 April 2022, 13:30
Literature Survey Proposal submission
[subject line: cs554_2022s_survey]
15 February 2022, 23:59
Literature Survey Report submission
(including the presentation)
[via Moodle]
21 April 2022, 23:59
Literature Survey Presentation 20 April 2022
Homework submission (including the report)
[via Moodle]
26 March 2022, 23:59
Project Proposal submission
[subject line: cs554_2022s_proj]
18 February 2022, 23:59
Project Progress Presentation 15 April 2022
Project Progress Report submission
(including the presentation)
[via Moodle]
16 April 2022, 23:59
Project Final Presentation 11 May 2022
Project submission
(including the report and presentation)
[via Moodle]
12 May 2022, 23:59

Tentative Schedule & Lecture Notes:
Lecture notes below are downloadable only within Bilkent network. Use VPN to access from home.

Week Topic Dates Lecture Notes
1
Introduction, human vision, overview of basics 04 February 2022 (13:30-15:20)  
2 Feature point extraction,
Feature point description and matching
09 February 2022 (08:30-10:20)
11 February 2022 (13:30-15:20)
 
 
 3 Homography and image stitching 16 February 2022 (08:50-10:20)
 
4 Camera geometry,
Stereo vision and depth estimation
23 February 2022 (08:50-10:20)
25 February 2022 (13:30-15:20)
 
 
5 Stereo vision and depth estimation,
Motion
02 March 2022 (08:50-10:20)
04 March 2022 (13:30-15:20)
  >>
 
6 Spring Break No Lecture

7 Face Processing,
Shape, scene, and object recognition,
16 March 2022 (08:50-10:20)
18 March 2022 (13:30-15:20)
 
 
8 Conditional and Markov random fields 25 March 2022 (13:30-15:20)  
9 Visual Tracking,
Action recognition and motion magnification
30 March 2022 (08:50-10:20)
01 April 2022 (13:30-15:20)
 
 
10 Action recognition and motion magnification 06 April 2022 (08:50-10:20)   >>
11 Motion magnification, Deep learning
Project Progress Presentations
13 April 2022 (08:50-10:20)
15 April 2022 (13:30-15:20)
  >>
  -
12 Survey Presentations 20 April 2022 (08:40-10:20)   -
13 Deep learning,
Midterm
27 April 2022 (08:50-10:20)
29 April 2022 (13:30-15:20)
 
  -
14 Deep learning & QA 6 May 2022 (13:30-15:20)   >>
15 Project presentations 11 May 2022 (08:40-10:20)   -