CS 554: Computer Vision

Spring 2021

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 19 April 2021
Literature Survey Proposal submission
[subject line: cs554_2021s_survey]
15 February 2021, 23:59
Literature Survey Report submission
(including the presentation)
[via Moodle]
6 May 2021, 23.59
Literature Survey Presentation 6 May 2021
Homework submission (including the report)
[subject line: cs554_2021s_hw]
12 April 2021, 23:59
Project Proposal submission
[subject line: cs554_2021s_proj_proposal]
18 February 2021, 23:59
Project Progress Presentation 15 April 2021
Project Progress Report submission
[subject line: cs554_2021s_proj_progress]
15 April 2021, 23:59
Project Final Presentation 10 May 2021
Project submission
(including the report and presentation)
[via Moodle]
17 May 2021, 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 28 January 2021 (08:30-10:20)  
2 Feature point extraction,
Feature point description and matching
01 February 2021 (13:30-15:20)
04 February 2021 (08:30-10:20)
 
 
3 Homography and image stitching,
Camera geometry
08 February 2021 (13:30-15:20)
11 February 2021 (08:30-10:20)
 
 
4 Stereo vision and depth estimation 18 February 2021 (08:30-10:20)  
5 Stereo vision and depth estimation, Motion,
Face Processing
22 February 2021 (13:30-15:20)
25 February 2021 (08:30-10:20)
 
 
6 Face Processing,
Shape, scene, and object recognition
04 March 2021 (08:30-10:20)  
7 Shape, scene, and object recognition,
Conditional and Markov random fields
08 March 2021 (13:30-15:20)
11 March 2021 (08:30-10:20)
  >>
 
8 Spring Break No Lecture
9 Visual Tracking 25 March 2021 (08:30-10:20)  
10 Action recognition and motion magnification 29 March 2021 (13:30-15:20)
01 April 2021 (08:30-10:20)
 
  >>
11 Action recognition and motion magnification,
Deep learning
08 April 2021 (08:30-10:20)  
12 Deep learning
Project Progress Presentations
12 April 2021 (13:30-15:20)
15 April 2021 (09:00-10:20)
  >>
   .
13 Midterm 19 April 2021 (12:40)    .
14 Deep learning 26 April 2021 (13:30-15:20)   >>
15 Survey Presentations 06 May 2021 (08:30-10:20)    .
16 Project presentations 10 May 2021 (13:30-15:20)    .