Name: Can Gümeli
Position: Ph.D Candidate
E-Mail: can.guemeli@tum.de
Phone: +49 (89) 289 - 18164
Room No: 02.07.038

Bio

My name is Can. I am a Ph.D. Candidate at the Visual Computing Lab, where I am working with Prof. Dr. Matthias Nießner. During my Master's here at TUM, I have worked on end-to-end CAD model alignment to RGB images at the Visual Computing Lab. Before my Master's, I obtained my Bachelor's in Computer Engineering from Koç University, Istanbul, Turkey. There I was fortunate to join natural language processing and bioinformatics projects at the AI lab.

Research Interest

End-to-end CAD model alignment and retrieval, geometric deep learning, monocular 3D reconstruction

Publications

Preprints

ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
Can Gümeli, Angela Dai, Matthias Nießner
arXiv
We present ROCA, a novel end-to-end approach that retrieves and aligns 3D CAD models to a single RGB image using a shape database. Thus, our method enables 3D understanding of an observed scene using clean and compact CAD representations of objects. Core to our approach is our differentiable alignment optimization based on dense 2D-3D object correspondences and Procrustes alignment.
[bibtex][project page]