Advanced Topics in Computer Vision
Spring 2022
Dept. of Electrical & Computer Engineering
Technion - Israel Institute of Technology
Class overview
The course will be a seminar dealing with advanced topics of computer vision. In spring 2022 there will be a strong emphasis on applications of computer vision for measuring and sensing people and their health status. Improving physical and mental health is one of the important challenges of the coming decade, and hence, in this course we will study how we can leverage advanced technologies in computer vision for this purpose. Together we will explore methods for measuring, analyzing, recognizing and predicting human health status. For example, measuring mental state, activity, stability, muscle tonus, eye movements, blood flow, and more, and through that reaching conclusions on mental stability, tiredness, disease onset, etc. Since data collection is challenging for these problems we will pay attention to machine learning methods for unsupervised and weakly-supervised scenarios.
Class lecturer
Grading
Grading will be based on the following:
Written summaries of assigned reading submitted before each class (25%)
Prepare and deliver 1 or 2 high quality topic presentations during semester. A topic could cover 1 or a few related papers, to be discussed and agreed upon with the course teacher (50%)
Active participation in class discussions (25%)
Since live discussions are at the heart of this course, class attendance is mandatory
Resources
Related materials