Reading group in Pattern Recognition and Computer Vision

Course guarantor:

Georgios Tolias

Lecturer:

Torsten Sattler, Georgios Tolias

Tutor:

Torsten Sattler, Georgios Tolias

Supervisor:

Department of Cybernetics

Synopsis:

The course deals with fundamental results in computer vision and pattern recognition. It targets the detailed study of principles which substantially influence the development in the field. The course is performed in the form of a reading group. Each time, a person in charge presents a paper and the reading group participants join in with questions, comments and discussion about the paper.

Requirements:

This course is primarily designed for PhD candidates. MSc students with strong research interests and preferably relevant research experience are also welcome to apply. Interested MSc students should contact the instructors in advance.

Check the list of previous topics/presentations https://cmp.felk.cvut.cz/~toliageo/rg/index.html

Syllabus of lectures:

There are no standard lectures. Reading groups are organized irregularly, several times a year. The reserved time slots are on Tuesday or Thursday 11:00-12:30. Each reading group is announced separately here: http://cmp.felk.cvut.cz/~toliageo/rg/index.html . Meetings are included in the following calendar: cmp.felk.cvut.cz/events/icalc.phtml .

Syllabus of tutorials:

Study Objective:

Each student is expected to present one paper (70% of the grade) and actively participate (30% of the grade) in reading groups of other presenters. See more information in https://cmp.felk.cvut.cz/~toliageo/rg/course.html

Study materials:

See the list with indicative examples of papers that can be presented at the reading group http://cmp.felk.cvut.cz/~toliageo/rg/suggested.html .

See the list of previous reading groups http://cmp.felk.cvut.cz/~toliageo/rg/index.html

Note:

Course web page: http://cmp.felk.cvut.cz/~toliageo/rg/

Further information:

http://cmp.felk.cvut.cz/~toliageo/rg/

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans:

• Doctoral studies, daily studies (compulsory elective course)
• Doctoral studies, combined studies (compulsory elective course)