Computer Vision
Learning visual representations for matching, retrieval, classification, and detection, in the MSc Data Science and Information Technologies at NKUA.
Term: Winter semester
Overview
Computer Vision is a graduate course in the MSc program Data Science and Information Technologies, offered by the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens.
I have taught the course since 2024. It runs in the winter semester.
Description
The course studies learning visual representations for common Computer Vision tasks, including matching, retrieval, classification, and object detection. It covers well-known methods from low-level description to intermediate representation, and how these depend on the end task.
It then turns to the data-driven approach, where the entire pipeline is optimized jointly in a supervised fashion according to a task-dependent objective. Deep learning models are studied in detail and interpreted in connection to conventional models. The focus throughout is on recent state-of-the-art methods and large-scale applications.