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Assembling a digital human…

Co-founder at Moverse

Georgios
Albanis

Computer Vision & Machine Learning Researcher

Specializing in markerless motion capture and digital humans. Redefining motion capture and enabling the creation of digital humans for a wide range of applications—from entertainment and education to sports and healthcare.

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Background & Expertise

I'm a researcher and engineer specializing in markerless motion capture and machine learning, and I cofounded Moverse to democratize motion capture. I earned my diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, then moved to the UK to work at a fast-growing startup, gaining hands-on experience in entrepreneurship and large-scale engineering. I later joined CERTH/ITI as a research associate, where I developed a deep interest in computer vision — ultimately leading me to pursue a PhD at the University of Thessaly, focused on digital humans and markerless motion capture through representation learning.

Education

PhD in Human Motion Capture
University of Thessaly
2026
MEng in Electrical & Computer Engineering
Aristotle University of Thessaloniki
2015

Research Interests

Digital Humans Markerless Motion Capture Computer Vision Multiview Geometry Representation Learning

Publications

Selected research across computer vision, motion capture, and deep learning.

preprint On the Skinning of Gaussian Avatars
Nikolaos Zioulis, Nikolaos Kotarelas, Georgios Albanis, Spyridon Thermos, Anargyros Chatzitofis
arXiv preprint arXiv:2509.11411 · 2025
journal BundleMoCap++: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos
Georgios Albanis, Nikolaos Zioulis, Kostas Kolomvatsos
Computer Vision and Image Understanding · 2024
conference Controlling Diversity in Single-shot Motion Synthesis
Eleni Tselepi, Spyridon Thermos, Georgios Albanis, Anargyros Chatzitofis
SIGGRAPH Asia 2024 Posters · 2024
conference BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos
Georgios Albanis, Nikolaos Zioulis, Kostas Kolomvatsos
Proceedings of the 20th ACM SIGGRAPH European Conference on Visual Media Production (CVMP) · 2023
journal An AI-Based System Offering Automatic DR-Enhanced AR for Indoor Scenes
Georgios Albanis, Vasileios Gkitsas, Nikolaos Zioulis, Stefanie Onsori-Wechtitsch, Richard Whitehand, Per Ström, Dimitrios Zarpalas
Springer Nature · 2023
conference Suit Up: AI MoCap
Anargyros Chatzitofis, Georgios Albanis, Nikolaos Zioulis, Spyridon Thermos
ACM SIGGRAPH 2023 Real-Time Live! · 2023
conference Towards Scalable and Real-time Markerless Motion Capture
Georgios Albanis, Anargyros Chatzitofis, Spyridon Thermos, Nikolaos Zioulis, Kostas Kolomvatsos
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · 2022
conference A Low-Cost & Real-Time Motion Capture System
Anargyros Chatzitofis, Georgios Albanis, Nikolaos Zioulis, Spyridon Thermos
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022
journal Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture
Nikolaos Zioulis, Georgios Albanis, Petros Drakoulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
IEEE Access · 2022
journal Drone Control in AR: An Intuitive System for Single-Handed Gesture Control, Drone Tracking, and Contextualized Camera Feed Visualization in Augmented Reality
Konstantinos Konstantoudakis, Kyriaki Christaki, Dimitrios Tsiakmakis, Dimitrios Sainidis, Georgios Albanis, Anastasios Dimou, Petros Daras
Drones · 2022
conference Pano3D: A Holistic Benchmark and a Solid Baseline for 360° Depth Estimation
Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Vasileios Gkitsas, Vladimiros Sterzentsenko, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2021
conference A Benchmark with Decomposed Distribution Shifts for 360 Monocular Depth Estimation
Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
NeurIPS 2021 Workshop · 2021
journal On End-to-End 6DOF Object Pose Estimation and Robustness to Object Scale
Georgios Albanis, Nikolaos Zioulis, Anargyros Chatzitofis, Anastasios Dimou, Dimitrios Zarpalas, Petros Daras
ML Reproducibility Challenge 2020 · 2021
conference PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes
Vasileios Gkitsas, Vladimiros Sterzentsenko, Nikolaos Zioulis, Georgios Albanis, Dimitrios Zarpalas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2021
preprint On Coordinate Decoding for Keypoint Estimation Tasks
Anargyros Chatzitofis, Nikolaos Zioulis, Georgios Albanis, Dimitrios Zarpalas, Petros Daras
arXiv preprint arXiv:2110.10289 · 2021
journal Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based COVID-19 Patient Risk Assessment
Anargyros Chatzitofis, Pierandrea Cancian, Vasileios Gkitsas, Alessandro Carlucci, Panagiotis Stalidis, Georgios Albanis, Antonis Karakottas, Theodoros Semertzidis, Petros Daras, Caterina Giannitto, et al.
International Journal of Environmental Research and Public Health · 2021
conference Towards User Generated AR Experiences: Enable Consumers to Generate Their Own AR Experiences for Planning Indoor Spaces
Richard Whitehand, Georgios Albanis, Nikolaos Zioulis, Werner Bailer, Dimitrios Zarpalas, Petros Daras
ACM International Conference on Interactive Media Experiences · 2021
journal Single-Handed Gesture UAV Control and Video Feed AR Visualization for First Responders
Dimitrios Sainidis, Dimitrios Tsiakmakis, Konstantinos Konstantoudakis, Georgios Albanis, Anastasios Dimou, Petros Daras
2021

Writing & Thoughts

Articles on research, engineering, and things I find interesting.

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