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I am a Research Scientist working on digital humans at Google AR & VR . I did my Ph.D. at the Perceiving Systems department of the Max Planck Institute for Intelligent Systems and ETH Zürich, supervised by Michael J. Black, Dimitris Tzionas and Luc Van Gool, through the Max Planck ETH Center for Learning Systems. During the summer of 2022 I was an intern at Meta Reality Labs Research, working with Kaiwen Guo. From June to November 2021 I was an intern at the Mixed Reality & AI Lab in Zürich, working with Federica Bogo and Julien Valentin. Prior to joining PS, I was fortunate to visit and work with Matthias Nießner, at the Visual Computing & Artificial Intelligence. Before going to Germany, I spent 8 wonderful months in Grenoble, working with Philippe Weinzaepfel, Jérome Revaud and Cordelia Schmid, as a member of the Thoth team and NaverLabs Europe. This journey started at the Aristotle University of Thessaloniki, where I studied Electrical and Computer Engineering. |
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Enes Duran, Muhammed Kocabas, Vasileios Choutas, Zicong (Alex) Fan, Michael J. Black Winter Conference on Applications of Computer Vision (WACV), 2024 [PDF] [arxiv] [code]
[bibtex]
@article{HMP,
title = {HMP: Hand Motion Priors for Pose and Shape Estimation from Video},
author = {Duran, Enes and Kocabas, Muhammed and Choutas, Vasileios and Fan, Zicong and Black, Michael J.},
journal = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
year = {2024},
doi = {}
}
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Maria Paola Forte, Chun-Hao Paul Huang, Peter Kulits, Vasileios Choutas, Dimitris Tzionas, Katherine J. Kuchenbecker, Michael J. Black Computer Vision and Pattern Recognition (CVPR), 2023 [PDF] [arxiv] [project page] [code]
[bibtex]
@inproceedings{Forte23-CVPR-SGNify,
title = {Reconstructing Signing Avatars from Video Using Linguistic Priors},
author = {Forte, Maria-Paola and Kulits, Peter and Huang, Chun-Hao Paul and Choutas, Vasileios and Tzionas, Dimitrios and Kuchenbecker, Katherine J. and Black, Michael J.},
booktitle = {IEEE/CVF Conf.~on Computer Vision and Pattern Recognition (CVPR)},
pages = {12791--12801},
month = jun,
year = {2023},
doi = {10.1109/CVPR52729.2023.01230},
month_numeric = {6}
}
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Vasileios Choutas ETH Zürich, 2022 [PDF] [ETH research collection]
[bibtex]
@thesis{Choutas:Thesis:2022,
title = {Reconstructing Expressive {3D} Humans from {RGB} Images},
author = {Choutas, Vasileios},
school = {ETH Zurich},
address = {Max Planck Institute for Intelligent Systems and ETH Zurich},
month = dec,
year = {2022},
doi = {},
month_numeric = {12}
}
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Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool Winter Conference on Applications of Computer Vision (WACV), 2023 [PDF] [arxiv] [slides] [challenge]
[bibtex]
@InProceedings{Singh_2023_WACV,
author = {Singh, Gurkirt and Choutas, Vasileios and Saha, Suman and Yu, Fisher and Van Gool, Luc},
title = {Spatio-Temporal Action Detection Under Large Motion},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {January},
year = {2023},
pages = {6009-6018}
}
Use tracking to improve action detection. |
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Vasileios Choutas, Federica Bogo, Jingjing Shen Julien Valentin European Conference on Computer Vision (ECCV), 2022 [project page] [PDF] [arxiv] [poster] [video]
[bibtex]
@inproceedings{Choutas:ECCV:2022,
author = {Vasileios Choutas and Federica Bogo and Jingjing Shen and Julien Valentin},
title = {Learning to Fit Morphable Models},
booktitle = {European Conference on Computer Vision (ECCV)},
month = {October},
year = {2022},
}
Neural optimizer inspired from Levenberg-Marquadt. |
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Vasileios Choutas*, Lea Müller*, Chun-Hao Paul Huang, Siyu Tang, Dimitris Tzionas, Michael J. Black Computer Vision and Pattern Recognition (CVPR), 2022 Oral Presentation Best paper candidate [project page] [PDF] [arxiv] [code] [video]
[bibtex]
@inproceedings{Shapy:CVPR:2022,
author = {Choutas, Vasileios and M\"uller, Lea and Huang, Chun-Hao P. and Tang, Siyu and Tzionas, Dimitrios and Black, Michael J.},
title = {Accurate 3D Body Shape Regression Using Metric and Semantic Attributes},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2022},
pages = {2718-2728}
}
Linguistic attribute scores and anthropometric body measurements are effective proxies for 3D body shape supervision. |
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Omid Taheri, Vasileios Choutas, Michael J. Black, Dimitris Tzionas Computer Vision and Pattern Recognition (CVPR), 2022 [project page] [PDF ] [arxiv] [code]
[bibtex]
@inproceedings{Taheri_2022_CVPR,
author = {Taheri, Omid and Choutas, Vasileios and Black, Michael J. and Tzionas, Dimitrios},
title = {GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
Recognition (CVPR)},
month = {June},
year = {2022},
pages = {13263-13273}
}
Generate grasping motion for a target object. |
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Yao Feng *, Vasileios Choutas*, Timo Bolkart, Dimitris Tzionas, Michael J. Black International Conference on 3D Vision, 2021 [project page] [PDF] [supplementary] [code]
[bibtex]
@inproceedings{PIXIE:2021,
title={Collaborative Regression of Expressive Bodies using Moderation},
author={Yao Feng and Vasileios Choutas and Timo Bolkart and Dimitrios Tzionas and Michael J. Black},
booktitle={International Conference on 3D Vision (3DV)},
year={2021},
pages={792-804},
}
Reconstruct expressive 3D humans from a single RGB image by adaptively aggregating information from part experts. |
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Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitris Tzionas, Michael J. Black European Conference on Computer Vision (ECCV), 2020 [project page] [PDF] [supplementary] [arxiv] [Long video] [Short video] [code]
[bibtex]
@inproceedings{ExPose:2020,
title = {Monocular Expressive Body Regression through Body-Driven Attention},
author = {Choutas, Vasileios and Pavlakos, Georgios and Bolkart, Timo and Tzionas, Dimitrios and Black, Michael J.},
booktitle = {European Conference on Computer Vision (ECCV)},
volume = {LNCS 12355},
pages = {20--40},
year = {2020}
}
Regression-based expressive capture of 3D humans from a single RGB image. |
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Mohamed Hassan, Vasileios Choutas, Dimitris Tzionas, Michael J. Black International Conference on Computer Vision (ICCV), 2019 [project page] [PDF] [arxiv] [video] [code]
[bibtex]
@inproceedings{PROX:2019,
title = {Resolving {3D} Human Pose Ambiguities with {3D} Scene Constraints},
author = {Hassan, Mohamed and Choutas, Vasileios and Tzionas, Dimitrios and Black, Michael J.},
booktitle = {Proceedings International Conference on Computer Vision},
pages = {2282--2292},
publisher = {IEEE},
month = oct,
year = {2019},
url = {https://prox.is.tue.mpg.de},
month_numeric = {10}
}
Leveraging scene constraints to improve 3D human pose and shape estimation |
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Georgios Pavlakos*, Vasileios Choutas*, Nima Ghorbani, Ahmed A. A. Osman, Timo Bolkart, Dimitris Tzionas, Michael J. Black Computer Vision and Pattern Recognition (CVPR), 2019 Oral Presentation [project page] [PDF] [supplementary] [arxiv] [video] [poster] [code]
[bibtex]
@inproceedings{SMPL-X:2019,
title = {Expressive Body Capture: 3D Hands, Face, and Body from a Single Image},
author = {Pavlakos, Georgios and Choutas, Vasileios and Ghorbani, Nima and Bolkart, Timo and Osman, Ahmed A. A. and Tzionas, Dimitrios and Black, Michael J.},
booktitle = {Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
pages = {10975--10985},
month = jun,
year = {2019},
url = {http://smpl-x.is.tue.mpg.de},
month_numeric = {6}
}
Expressive capture of bodies, hands and faces from a single RGB image. |
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Vasileios Choutas, Philippe Weinzaepfel, Jérome Revaud and Cordelia Schmid Computer Vision and Pattern Recognition (CVPR), 2018 [project page] [PDF]
[bibtex]
@inproceedings{Choutas_2018_CVPR,
author = {Choutas, Vasileios and Weinzaepfel, Philippe and Revaud, Jérôme and Schmid, Cordelia},
title = {PoTion: Pose MoTion Representation for Action Recognition},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
pages = {7024-7033},
}
A representation that encodes human motion in videos. |
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