CS 554: Computer Vision

Spring 2020

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 21%
Literature Survey and Presentation 11% + 5%
In-class participation and Attendance 5%
Midterm:Essay/written 25%
Project 33%

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.

Important Dates:

Event Date / Deadline
Midterm Exam 07 May 2020, 10:40-12:30
(B-103)
Literature Survey Proposal submission
[subject line: cs554_2020s_survey]
20 February 2020, 23:59
Literature Survey Report submission
[subject line: cs554_2020s_survey_report]
26 April 2020, 23:59
Literature Survey Presentation 27 April 2020
Homework submission (including the report)
[subject line: cs554_2020s_hw]
17 April 2020, 23:59
Project Proposal submission
[subject line: cs554_2020s_proj_proposal]
24 February 2020, 23:59
Project Progress Report submission
[subject line: cs554_2020s_proj_progress]
23 April 2020, 23:59
Project Final Presentation 21 May 2020
Project submission (including the report)
[subject line: cs554_2020s_proj_final]
5 June 2020, 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, course structure, human vision, overview of basics 03 February 2020 (10:40-12:30)
06 February 2020 (09:40-10:30)
[w1ab]
[w1c]
2 Feature extraction, matching, and alignment 10 February 2020 (10:40-12:30) [w2ab]
3 Camera geometry, homography, and image stitching 17 February 2020 (10:40-12:30)
20 February 2020 (08:40-10:30)
[w3ab]
[w3cd]
4 Stereo vision and depth estimation 24 February 2020 (10:40-12:30) [w4ab]
5 Motion,
Face Processing
02 March 2020 (10:40-12:30)
05 March 2020 (08:40-10:30)
[w5ab]
[w5cd]
6 Face Processing cont'd,
Shape, scene, and object recognition
09 March 2020 (10:40-12:30)  >>>
[w6ab_updated]
7 Shape, scene, and object recognition cont'd,
Conditional and Markov random fields
23 March 2020 (10:40-12:30)
26 March 2020 (08:40-10:30)
 >>>
[w7cd]
8 Visual Tracking 30 March 2020 (10:40-12:30) [w8ab]
9 Action recognition and motion magnification 06 April 2020 (10:40-12:30)
09 April 2020 (08:40-10:30)
[w9ab_updated]
 >>>
10 No Lecture 13 April 2020 >> No Lecture
11 Deep learning 20 April 2020 (10:40-12:30) [w11ab_updated]
12 Survey presentations
Deep learning cont'd,
27 April 2020 (10:40-12:30)
30 April 2020 (08:40-10:30)
 >>>
 >>>
13 QA Session,
Midterm Exam
04 May 2020 (10:40-12:30)
07 May 2020 (09:00-10:30)

14 No Lecture 14 May 2020 >> No Lecture  
15 Project presentations 21 May 2020 (08:30-10:30)