HelisaDhamo

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Helisa Dhamo

Contact

Helisa Dhamo

Helisa Dhamo

  • Email: helisa.dhamo[at]tum.de

  • Address:

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München

Teaching

Student Projects

Available

Running
Master ThesisRethinking Deep Learning based Monocular Depth Prediction
(Helisa Dhamo, Federico Tombari)

Finished
Bachelor ThesisComparison of methods to produce a two-layered LDI representation from a single RGB image
(Helisa Dhamo, Federico Tombari)
Master ThesisSkin Lesion Segmentation on 3D Surfaces
(Helisa Dhamo, Federico Tombari)
Master ThesisDeep Learning for Semantic Segmentation of Human Bodies
(Helisa Dhamo, Federico Tombari, Prof. Nassir Navab)

Education

May 2017 M.Sc. Computational Science and Engineering, TUM. Thesis topic: "Depth Prediction from Structured Light using Fully Convolutional Neural Networks"

Research Projects

My research interests include the application of deep learning in computer vision. In particular I work on ambiguous aspects of scene understanding, such as generating occluded regions and semantic manipulation.

Layered Depth Prediction

Given a single image, we regress a specific data representation called Layered Depth Image (LDI), which contains information about the occluded regions in the reference frame and can fill in occlusion gaps in case of small view changes.

Publications


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Title: M.Sc.
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Firstname: Helisa
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Lastname: Dhamo
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Nationality: Albania
Languages: English, German, Spanish
Groups: Computer Vision
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Position: Scientific Staff
Status: Active
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Room: MI 03.13.041
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Edit | Attach | Refresh | Diffs | More | Revision r1.27 - 23 Jun 2019 - 18:12 - HelisaDhamo

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