Advanced Topics in Computer Vision and Machine Learning

Advanced Topics in Computer Vision and Machine Learning

Summer Semester 2015

This seminar covers advanced topics in computer vision and statistical machine learning based on recent research publications. Exemplary topics include object recognition, scene understanding, video analysis, tracking, image modeling, image restoration, vision in robotics & driver assistance, graphical models, deep learning, feature learning, semi-supervised learning, and optimization in vision & learning.

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TUCaN

Organization

Module no. 20-00-0645-se
Event type seminar (S2, 3CP, 2SWS), elective
Being taught irregularly, usually summer semesters
Time Tuesdays, 13:30 – 15:10
First class 21.04.2015
Location S3|05, room 073
Lecturer Prof. Stefan Roth, Ph.D.
Assistants TBA

Content

Learning goals

Degree courses

Prerequisites

 

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