Spyridon (Spiros) Thermos

I am a computer scientist on a startup quest as a co-founder of Moverse.

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Previously I was postdoctoral researcher at the University of Edinburgh and adjunct professor (for a year) at the University of Thessaly (UTH). I received my Diploma in computer engineering (2013), my M.Sc. cum laude in computer science (2015), and my Ph.D. from UTH (2020).

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My research interests lie in the intersection of representation learning and computer vision. Now I'm focusing on generative AI for human motion.

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News


Highlighted publications

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Controlling Diversity in Single-shot Motion Synthesis
E. Tselepi, S. Thermos, G. Albanis, A. Chatzitofis
SIGGRAPH Asia, 2024

project page / bibtex
                  @inproceedings{tselepi2024singleshot,
                    author    = {Tselepi, Eleni, and Thermos, Spyridon, and Albanis, Georgios and Chatzitofis, Anargyros},
                    title     = {Controlling Diversity in Single-shot Motion Synthesis},
                    booktitle = {SIGGRAPH Asia (Posters)},
                    month     = {December},
                    year      = {2024}  
                  }
                
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Towards Practical Single-Shot Motion Synthesis
K. Roditakis, S. Thermos, N. Zioulis
CVPRW, 2024

project page / bibtex
@inproceedings{roditakis2024synthesis,
  author    = {Roditakis, Konstantinos, and Thermos, Spyridon, and Zioulis, Nikolaos.},
  title     = {Towards Practical Single-Shot Motion Synthesis},
  booktitle = {IEEE/CVF Computer Vision and Pattern Recognition (CVPR) AI for 3D Generation Workshop},
  year      = {2024}  
}
                

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Noise-in, Bias-out: Balanced and Real-time MoCap Solving
G. Albanis, N. Zioulis, S. Thermos, A. Chatzitofis, K. Kolomvatsos
ICCVW, 2023

project page / bibtex
@inproceedings{albanis2023noise,
  author    = {Albanis, Georgios, and Zioulis, Nikolaos, and Thermos, Spyridon, and Chatzitofis, Anargyros and Kolomvatsos, Kostas.},
  title     = {Noise-in, Bias-out: Balanced and Real-time MoCap Solving},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
  year      = {2023}  
}
                

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Suit Up: AI MoCap
A. Chatzitofis, G. Albanis, N. Zioulis, S. Thermos
SIGGRAPH, 2023

video / project page / bibtex
@inproceedings{chatzitofis2023siggraph,
  author    = {Anargyros Chatzitofis and Georgios Albanis and Nikolaos Zioulis and Spyridon Thermos.},
  title     = {Suit Up: AI MoCap},
  booktitle = {ACM SIGGRAPH 2023 Real-Time Live!},
  year      = {2023}  
}
                

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Learning disentangled representations in the imaging domain
X. Liu, P. Sanchez, S. Thermos, A. O'Neil, S. A. Tsaftaris
Medical Image Analysis, 2022

repo / bibtex
@article{liu2022tutorial,
  author       = "Xiao Liu and Pedro Sanchez and Spyridon Thermos and Alison O'Neil and Sotirios A. Tsaftaris",
  title        = "Learning Disentangled Representations in the Imaging Domain",
  journal      = "Medical Image Analysis",
  volume       = "80"
  pages        = "102516",
  year         = "2022"}
                

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Measuring the Biases and Effectiveness of Content-Style Disentanglement
X. Liu, S. Thermos, G. Valvano, A. Chartsias, A. O'Neil, S. A. Tsaftaris
BMVC, 2021

repo / bibtex
@inproceedings{liu2021metrics,
  author       = "Xiao Liu and Spyridon Thermos and Gabriele Valvano and Agisilaos Chartsias and Alison O'Neil and Sotirios A. Tsaftaris",
  title        = "Measuring the Biases and Effectiveness of Content-Style Disentanglement",
  booktitle    = "BMVC",
  year         = "2021"}
                

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Controllable cardiac synthesis via disentangled anatomy arithmetic
S. Thermos, X. Liu, A. O'Neil, S. A. Tsaftaris
MICCAI, 2021 (oral)

repo / bibtex
@inproceedings{thermos2021miccai,
author       = "Spyridon Thermos and Xiao Liu and Alison O'Neil and Sotirios A. Tsaftaris",
title        = "Controllable cardiac synthesis via disentangled anatomy arithmetic",
booktitle    = "International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)",
pages        = "",
year         = "2021"}
                

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Deep Soft Procrustes for Markerless Volumetric Sensor Alignment
V. Sterzentsenko, A. Doumanoglou, S. Thermos, N. Zioulis, D. Zarpalas, P. Daras
IEEE VR, 2020

project page / video / bibtex
@inproceedings{sterzentsenko2020alignment,
  author       = "Vladimiros Sterzentsenko and Alexandros Doumanoglou and Spyridon Thermos and Nikolaos Zioulis and Dimitrios Zarpalas and Petros Daras",
  title        = "Deep Soft Procrustes for Markerless Volumetric Sensor Alignment",
  booktitle    = "Proc. IEEE VR",
  year         = "2020"}
                

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A Deep Learning Approach To Object Affordance Segmentation
S. Thermos, P. Daras, G. Potamianos
ICASSP, 2020

repo / video / bibtex
@inproceedings{thermos2020icassp,
  author       = "Spyridon Thermos and Petros Daras and Gerasimos Potamianos",
  title        = "A Deep Learning Approach To Object Affordance Segmentation",
  booktitle    = "Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP)",
  pages        = "2358-2362",
  year         = "2020"}
                

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Self-Supervised Deep Depth Denoising
V. Sterzentsenko, L. Saroglou, A. Chatzitofis, S. Thermos, N. Zioulis, A. Doumanoglou, D. Zarpalas, P. Daras
ICCV, 2019

arxiv / project page / bibtex
@inproceedings{sterzentsenko2019denoising,
  author       = "Vladimiros Sterzentsenko and Leonidas Saroglou and Anargyros Chatzitofis and Spyridon Thermos and Nikolaos Zioulis and Alexandros Doumanoglou and Dimitrios Zarpalas and Petros Daras",
  title        = "Self-Supervised Deep Depth Denoising",
  booktitle    = "ICCV",
  pages        = "1242-1251",
  year         = "2019"}
                

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Deep Affordance-grounded Sensorimotor Object Recognition
S. Thermos, G.T. Papadopoulos, P. Daras, G. Potamianos
CVPR, 2017 (spotlight)

arxiv / bibtex
@inproceedings{thermos2017cvpr,
  author       = "S. Thermos and G.T. Papadopoulos and P. Daras and G. Potamianos",
  title        = "Deep Affordance-grounded Sensorimotor Object Recognition",
  booktitle    = "CVPR",
  pages        = "6167-6175"
  year         = "2017"}
                


Theme "borrowed" from Georgia Gkioxari and John Barron