PhD candidate · 3D Computer Vision
I am a PhD student in Prof. Friedrich Fraundorfer's group at the Institute for Visual Computing (IVC) at Graz University of Technology, Austria.
I am currently visiting the Computer Vision and Geometry Group at ETH Zürich, supervised by Prof. Marc Pollefeys and Dr. Daniel Barath.
Previously, I gained professional experience at the Canva office in Vienna and at Infineon Technologies in Villach, Austria.
I hold a joint Master's double degree in Computer Science from the University of Klagenfurt and the University of Udine, where I also completed my Bachelor's degree in the same field.
My research focuses on 3D Computer Vision and Machine Learning, with a specific interest in Pose Estimation and Structure from Motion (SfM).
1Graz University of Technology · 2Sony Europe
CVPRW 2026TerraSky3D is a high-resolution 4K dataset of European landmarks comprising approximately 50,000 images across 150 scenes, specifically designed to bridge the modality gap between ground-level and aerial perspectives for 3D reconstruction. It provides curated camera poses and dense depth maps. Data is available here.
1Graz University of Technology · 2University of Stuttgart · 3Huawei Technologies
SIGGRAPH 2026A LoD of Gaussians enables the reconstruction and interactive visualization of ultra-large-scale scenes by replacing traditional scene partitioning with a dynamic, out-of-core Level-of-Detail framework. Code is available here. Webpage is available here.
1Graz University of Technology · 2Sony Europe
3DV 2026SANDesc is a descriptor module that can be trained on top of any existing keypoint detector. It significantly improves pose estimation performance on high-resolution images. Code is available here. Webpage is available here.
1École des Ponts ParisTech · 2Graz University of Technology
CVPR 2025PyTorchGeoNodes is a differentiable module that enables reconstruction of 3D objects and their semantic parameters using interpretable shape programs. Code is available here.