Course Identification

Title:

Advanced Topics in Computer Vision and Deep Learning

Code:

20224042

Lecturers and Teaching Assistants

Lecturers:

Dr. Shai Bagon, Prof. Ronen Basri, Prof. Michal Irani, Prof. Shimon Ullman, Dr. Tali Dekel

TA's:

Dr. Niv Haim

Course Schedule and Location

Year:

2022

Semester:

Second Semester

When / Where:

Tuesday, 10:15 - 12:00, Ziskind, Rm 1

First Lecture:

29/03/2022

End date:

19/08/2022

Field of Study, Course Type and Credit Points

Mathematics and Computer Science: Seminar; Elective; Regular; 2.00 points

Comments

Advanced Reading-Group Seminar.
Absence from lessons must be for a justified reason, and with prior approval.
Priority will be given to students from the Math and CS faculty.

Prerequisites

Both these courses are mandatory prerequisites:

Introduction to computer vision.
Deep Learning for Computer Vision: Fundamentals and Applications.

Unless the student took an equivalent course in another university, in which case they will have to point to the specific course they took.

Restrictions

Participants:

24

Language of Instruction

English

Attendance and participation

Obligatory

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

Attendance

10%

Assignments:

5%

Seminar:

85%

The grade is based on a presentation, attendance, and reading papers

Evaluation Type

Seminar

Scheduled date 1

Date / due date

N/A

Location

N/A

Time

-

Remarks

N/A

Estimated Weekly Independent Workload (in hours)

3

Syllabus

This course will cover important advances and recently published papers in Computer Vision and Deep Learning.

Learning Outcomes

Upon successful completion of this course students should be able to:

Become familiar with advances and recently published papers in the area of Deep Learning and applications to Computer Vision. In addition, an emphasis will be put on how to prepare a good presentation.

Reading List

List of papers to read will be given at the beginning of the course.

Website

N/A