Vasileios Choutas
I am a Ph.D. student at the
Perceiving Systems department of the
Max Planck Institute for Intelligent Systems,
supervised by Dimitris Tzionas and
Michael J. Black.
I am also part of 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 Zurich, 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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News
- October 2022: TAAD won the MultiSports spatio-temporal action detection challenge at ECCV'22.
- July 4, 2022: I started my internship at Meta Reality Labs Research.
-
SHAPY
was a best paper finalist at CVPR 2022.
- I was recognized as an Outstanding Reviewer at
3DV 2021.
- I was recognized as an Outstanding Reviewer at
CVPR 2021.
- June 1, 2021: I started my internship at the
Microsoft Mixed
Reality & AI Lab in Zurich.
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Publications
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Spatio-Temporal Action Detection Under Large Motion
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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Learning to Fit Morphable Models
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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Accurate 3D Body Shape Regression
using Metric and Semantic Attributes
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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GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping
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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Collaborative Regression of Expressive Bodies using Moderation
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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Monocular Expressive Body Regression through Body-Driven Attention
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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Resolving 3D Human Pose Ambiguities with 3D Scene Constraints
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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Expressive Body Capture: 3D Hands, Face and Body from a Single Image
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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PoTion: Pose MoTion Representation for Action Recognition
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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