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 2026 🤗 Dataset 🥈 Best Paper Award (Runner-Up)TerraSky3D is a high-resolution 4K dataset of European landmarks comprising 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.
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. Project page 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. Project page 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. Project page is available here.