School of Computing

Korea Advanced Institute of Science and Technology (KAIST)

Your IP is 34.239.153.44

CS588: Deep Learning based Image Search (Spring 2024)

Instructor: Sung-eui Yoon

Line

Outline

Line

Course overview

We extract feature points between two similar images and match them, followed by overlaying them together based on the matched points in the bottom row.

Thanks to rapid advances of digital camera and various image processing tools, we can easily create new pictures, images, and videos for various purposes. This in turn results in a huge amount of images in the internet and even in personal computers. For example, flickr, an image hosting website, contains more than five billion images and flickr members update more than three thousands image every minute.

These huge image databases pose numerous technical challenges in terms of image processing, searching, storing, etc. In this class we will discuss various scalable techniques for web-scale image/video databases and novel applications that can utilize such data.

In summary, what you will get at the end of the course:

What you will do:

Line

Lecture schedule (subject to change)

Date Topics and slides Related material(s)
  • Feb. 26 (Mon)
Overview on the course and course policy
  • Feb. 28 (Wed)
Classical Keypoint Localization
  • Mar. 4 (Mon)
Scale Invariant Region Selection and SIFT
  • Mar. 6 (Wed)
Deep Learning based Image Search
  • Mar. 11 (Mon)
  • Mar. 13 (Wed)
Re-Ranking and Inverted Index
  • Mar. 18 (Mon)
Hashing Techniques
  • Mar. 20 (Wed)
Person Re-identification
  • Mar. 25 (Mon)
Pixel Retrieval
  • Mar. 27 (Wed)
Diffusion for Objects Retrieval
  • Apr. 1 (Mon)
  • Apr. 3 (Wed)
Applications of Adversarial Attacks
on Matching-based Algorithms
  • Apr. 8 (Mon)
Optical Flow
  • Apr. 10 (Wed)
No class due to the general election
  • Apr. 15 (Mon)
No class (midterm week)
  • Apr. 17 (Wed)
Midterm Exam
  • Apr. 22 (Mon)
Paper Presentation I:
1. Kyubeom Han
2. Sheikh Shafayat
  • Apr. 24 (Wed)
Paper Presentation I:
1. FILIPPO MOMENTE
2. Suhyeon Ha
  • Apr. 29 (Mon)
Paper Presentation I:
1. Jinhwan Seo
2. Jumin Lee
  • May. 1 (Wed)
Midterm Project Presentation:
1. T1 (Kyubeom Han, Jinhwan Seo)
2. T2 (Sheikh Shafayat)
  • May. 6 (Mon)
No class due to the substitute holiday
  • May. 8 (Wed)
Midterm Project Presentation:
1. T3 (FILIPPO MOMENTE)
2. T4 (Suhyeon Ha, Jumin Lee)
  • May. 13 (Mon)
No class due to ICRA attendance
  • May. 15 (Wed)
No class due to Buddha's birthday
  • May. 20 (Mon)
Paper Presentation II:
1. Sheikh Shafayat
2. FILIPPO MOMENTE
  • May. 22 (Wed)
Paper Presentation II:
1. Jinhwan Seo
2. Jumin Lee
  • May. 27 (Mon)
Paper Presentation II:
1. Kyubeom Han
2. Suhyeon Ha
  • May. 29 (Wed)
Reserved
  • Jun. 3 (Mon)
Final Project Presentation:
1. T1 (Kyubeom Han, Jinhwan Seo)
2. T2 (Sheikh Shafayat)
  • Jun. 5 (Wed)
Final Project Presentation:
1. T3 (FILIPPO MOMENTE)
2. T4 (Suhyeon Ha, Jumin Lee)
  • Jun. 10 (Mon)
  • Jun. 12 (Wed)
Reserved (Final exam period)
Line

Student presentations and reports

For your presentations, please use the this powerpoint template; paper presentation guideline is available.
For your final report, please use the this latex template

Line

Additional reference materials and links

Computer vision resources (papers, videos, code, datasets, etc.):

Paper search:

Line

Acknowledgements: The course materials are based on those of Prof. Fei-Fei Li, Stanford. Thank you so much!

Line

Copyright 2024. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the author.

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.