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 study here at TUM, I have worked on end-to-end CAD model alignment to RGB images at the Visual Computing Lab. As a master's student, I also had an opportunity to work part-time at Intel on high-performance quantum computing simulation. Previously, 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

CAD Model Alignment and Retrieval, Semantic SLAM, 3D Reconstruction

Publications

2022

ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
Can Gümeli, Angela Dai, Matthias Nießner
CVPR 2022
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.
[video][code][bibtex][project page]