Deep Learning for Computer Vision 2024/25 spring

Lectures

Lectures will be held on Wednesday 10:15 - 12:00 in 1019.
Zoom link to lectures: (log into courses to see link)

Practice sessions

All practice sessions are held right after the lecture on Wednesday 12:15 - 14:00 in room 1019.
Zoom link for practice sessions: (log into courses to see link) (the same as for the lectures)

In practice sessions we will be working in Colab, Python 3 and from one point with PyTorch. Ideally, familiarize yourself with NumPy, Pandas and Colabs before the practice sessions.

The schedule

The following schedule is subject to change. Please check Slack for announcements.

Lecture #	Date	Title	Slides	Recordings	Notebook
Lecture 01	February 12	Introduction to course and CV	PDF	lecture, practice	.ipynb
Lecture 02	February 19	Deep Dive into CNNs (part I)	PDF	lecture, practice	.ipynb
Lecture 03	February 26	Deep Dive into CNNs (part II) + Kahoot	PDF	lecture, practice	.ipynb
Lecture 04	March 5	Advanced topics in CV: object detection	PDF	lecture, practice	.ipynb
Lecture 05	March 12	Advanced topics in CV: segmentation + Kahoot	PDF	lecture, practice	.ipynb
Lecture 06	March 19	Vision Transformers (part I) in Zoom by Yaroslav Prytula	PDF	lecture, practice	.ipynb
Lecture 07	March 26	Vision Transformers (part II) in Zoom by Yaroslav Prytula	PDF	lecture, practice	.ipynb
Lecture 08	April 2	Image Generation (part I) by Joonas Ariva	PDF	lecture, practice	.ipynb
Lecture 09	April 9	Image Generation (part II) by Joonas Ariva	PDF	lecture, practice	.ipynb
Lecture 10	April 16	Image Generation (part III) by Joonas Ariva	PDF	lecture, practice	.ipynb
Lecture 11	April 23	Computer Vision in Medicine	PDF	lecture + practice	.ipynb
Lecture 12	April 30	A break
Lecture 13	May 7	Real-world applications of CV by Ardi Tampuu	PDF	lecture	N/A
Lecture 14	May 14	Ethical AI research	PDF	lecture	N/A
Lecture 15	May 21	Explainable AI by Joonas Ariva	PDF	lecture, practice	.ipynb
Lecture 16	May 28	Final project presentations