DC2: Novel object representations for CH objects

Doctoral candidate

To be recruited

Hiring institution

Norwegian University of Science and technology (NTNU)

PhD enrolment institution

Norwegian University of Science and Technology (NTNU)

Main supervisor

Theoharis Theoharis (NTNU)

Co-supervisor

Remy Chapoulie (CNRS)

Co-supervisor

Robert Sitnik (WUT)

Objectives

• Investigate novel object representations, such as Gaussians and MARF, in measuring change for CH objects.
• Investigate novel object representations in capturing and visualizing CH objects. The above objectives reflect the current trend in the development of new object representations that are ‘AI-Friendly’, given the pervasiveness of AI methods in all types of processing.

Goals

• Determination of the effect of machine learning-friendly object representations in capturing, visualizing and measuring change on CH objects