PhD Defense: Superpixels and Attention for High-quality Object Proposals in Complex Environments

9 June 2022

Abstract: The class-agnostic discovery of objects in images, known as object proposal generation, is a fundamental task in computer vision. In this thesis, we mainly address two major challenges in object proposal generation. First, we introduce a system that improves the challenging discovery of small objects. Second, we propose a refinement method that allows a more accurate segmentation of the discovered objects. Overall, this leads to high-quality object proposals for objects of all sizes.

To participate in the PhD defense, please contact the Informatics Study Office via email. The Zoom link will then be mailed to you shortly before the meeting.

Time: 14:00