Institute for Visual ComputingOpen OpportunitiesThe goal of the project is to create a Simultaneous Localization and Mapping algorithm that, besides estimating the camera trajectory and the geometry of the scene, also obtains object instances. These object instances should not be restricted to a fixed set of classes (e.g., chair, table). Hence, the problem is open set segmentation. - Computer Vision, Intelligent Robotics
- Master Thesis, Semester Project
| This project aims to explore methods to leverage these semantic cues to enhance image matching at various levels, including geometric and semantic pixel-level matching, as well as object-level matching. - Computer Vision
- Master Thesis, Semester Project
| In this project, we propose to investigate if scene graph technology can assist place recognition in changing environments by considering the semantic information about the environment. - Computer Vision, Intelligent Robotics
- Master Thesis, Semester Project
| The objective of the project is to perform semantic/instance segmentation on city-scale reconstructions to find, e.g., buildings. - Computer Vision
- Master Thesis, Semester Project
| The project aims to develop methods for reconstructing objects and their images in 3D using scene graph embeddings. - Computer Vision
- Master Thesis, Semester Project
| The goal is to find 3D object instances/semantics as accurately as possible. This is usually done by aggregating 2D observations (object detections) in 3D. The project aims to optimize the 2D contours so that the object is found as accurately as possible - Computer Vision
- Master Thesis, Semester Project
| The project focuses on identifying distinct object instances (such as tables and chairs) within 3D reconstructions of indoor environments. - Computer Vision
- Master Thesis, Semester Project
| The goal of this project is to use language prompts to help find object parts in 3D. - Computer Vision
- Master Thesis, Semester Project
| The objective of this project is to determine the metric relative pose between two images using object-to-object matches. - Computer Vision
- Master Thesis, Semester Project
| Fast moving objects are defined as objects that move over significant distances over exposure time of a single image or video frame. Thus, they look significantly blurred. Detection, tracking, and deblurring of such objects have been studied in recent years. However, there are still no methods for robust retrieval of such objects in large image collections. - Computer Graphics, Computer Vision, Image Processing, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition
- Master Thesis
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