I’m a Research Associate at Imperial College London in 3D Computer Vision and Deep Generative Models in non-Euclidean Spaces. I’m also a Senior Research Scientist at Huawei Noah's Ark, working with Jiankang Deng. My current interests lie in the intersection of generative models and 3D avatars, with particular emphasis on 3D Hands, Faces and Bodies. Previously I received my PhD in 3D Computer Vision from Imperial College London advised by Stefanos Zafeiriou. Prior to my PhD, I received my MEng degree at the National Technical University of Athens, where I was supervised by Prof. Andreas Stafylopatis.

News
  • Feb 2024 Three papers accepted at CVPR 2024.
  • Mar 2023 Our workshop on NeRFs got accepted at ICCV 2023. work
  • Mar 2022 Handy got accepted at CVPR 2023.
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Publications

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SAGS: Structure-Aware 3D Gaussian Splatting

Evangelos Ververas, Rolandos Alexandros Potamias, Jifei Song, Jiankang Deng, Stefanos Zafeiriou

arXiv

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ShapeFusion: A 3D diffusion model for localized shape editing

Rolandos Alexandros Potamias, Michail Tarasiou, Stylianos Ploumpis, Stefanos Zafeiriou

arXiv

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Design2Cloth: 3D Cloth Generation from 2D Masks

Jiali Zheng,Rolandos Alexandros Potamias, Stefanos Zafeiriou

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

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Neural Sign Actors: A diffusion model for 3D sign language production from text

Vasileios Baltatzis, Rolandos Alexandros Potamias, Evangelos Ververas, Guanxiong Sun, Jiankang Deng, Stefanos Zafeiriou

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

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Locally Adaptive Neural 3D Morphable Models

Michail Tarasiou,Rolandos Alexandros Potamias, Eimear O' Sullivan, Stylianos Ploumpis, Stefanos Zafeiriou

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

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Multimodal brain age estimation using interpretable adaptive population-graph learning

Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2023

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ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis

Jiali Zheng, Youngkyoon Jang, Athanasios Papaioannou, Christos Kampouris, Rolandos Alexandros Potamias, Foivos Paraperas Papantoniou, Efstathios Galanakis, Ales Leonardis, and Stefanos Zafeiriou

IEEE/CVF International Conference on Computer Vision (ICCV) 2023

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Handy: Towards a high fidelity 3D hand shape and appearance model

Rolandos Alexandros Potamias, Stylianos Ploumpis, Stylianos Moschoglou, Vasileios Triantafyllou, Stefanos Zafeiriou

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

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Neural mesh simplification

Rolandos Alexandros Potamias, Stylianos Ploumpis, Stefanos Zafeiriou

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022

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Graphwalks: efficient shape agnostic geodesic shortest path estimation

Rolandos Alexandros Potamias, Alexandros Neofytou, Kyriaki Margarita Bintsi, Stefanos Zafeiriou

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops(CVPRw) 2022

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Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach

Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou

European Conference on Computer Vision (ECCV) 2022

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Learning to Generate Customized Dynamic 3D Facial Expressions

Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou

European Conference on Computer Vision (ECCV) 2020

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A transformer-based approach to irony and sarcasm detection

Rolandos Alexandros Potamias, Georgios Siolas, Andreas-Georgios Stafylopatis

Neural Computing and Applications, 2019

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A robust deep ensemble classifier for figurative language detection

Rolandos-Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis

Engineering Applications of Neural Networks (EANN) 2019 Best Paper Award



Thesis

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Advances of graph neural networks for 3D shape learning and analysis

Rolandos Alexandros Potamias

PhD Thesis, Imperial College London, 2023

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