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Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks Series] Learning-based 3D understanding of deformable objects using weak and self-supervision

Dates
2024-07-25 15:30 - 16:30
Venue
Artemidos 1 - Amphitheater

 

 
Title: Learning-based 3D understanding of deformable objects using weak and self-supervision

Speaker: Iasonas Kokkinos, Senior Engineering Manager in Snap and Associate Professor in the Department of Computer Science of University College London (UCL).


Abstract: Understanding objects in 3D from a single 2D image is effortless for humans, yet remains challenging for computer vision, largely due to the scarcity of explicit 3D supervision. In this presentation we will discuss how to mitigate this by exploiting 2D datasets through weak- and self-supervision.
 
We will start with the DensePose, HoloPose and MeshPose line of works for 3D human understanding. We will see how these methods incorporate 3D geometric modeling both in the representation and the training objectives, allowing us to build increasingly simple, efficient, and accurate models. We will cover real-time Augmented Reality applications built with the resulting models for the human body and hands. 
 
We will then turn to the broader problem of understanding generic 3D deformable categories such as horses, cows, dogs or cats. We will see that even in the absence of prior knowledge about the object structure, 3D deformations can be injected into the model representation and used to form self-supervised training objectives for 3D generative models. We will see that the resulting models provide disentangled control of pose, non-rigid motion and appearance in a manner similar to 3D morphable face models - but without having access to any 3D supervision during training. 

Bio: Iasonas Kokkinos is Senior Engineering Manager in Snap and Associate Professor in the Department of Computer Science of University College London (UCL).
 
Iasonas obtained his D.Eng in 2001 and PhD in 2006 from NTUA and his Habilitation (HDR) in 2013 from University Paris-Est. He was a postdoc in UCLA until 2008, and then joined the faculty of Ecole Centrale Paris where he stayed until 2016. In 2016 he joined UCL’s Department of Computer Science as well as Facebook’s AI Research (FAIR) Lab. In 2018 he left FAIR to build Ariel AI, focusing on real-time monocular human reconstruction for Augmented Reality. Following the acquisition of Ariel AI by Snap Inc., he joined Snap full-time as Engineering Manager. 
 
His research interests are focused on 3D human understanding for augmented reality as well as general–purpose computer vision models.  His works include the Deeplab, UberNet and DensePose systems that have been impactful in both academia and industry. He publishes, reviews, and regularly serves as Area Chair in all major computer vision conferences (CVPR,ICCV,ECCV).

 

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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
New Publication by Archimedes Lead Researcher John Pavlopoulos

New Publication by Archimedes Lead Researcher John Pavlopoulos

5 September 2025

A new paper co-authored by John Pavlopoulos from Archimedes Research Unit at the Athena Research Center, Kanella K. Pouliand Maria Gavriilidou from the Institute for Language and Speech Processing (ILSP) at the Athena Research Center, and Juli Bakagianni from the Department of Informatics of the Athens University of Economics & Business (AUEB) has been accepted for publication at Patterns journal.

Archimedes Workshop on Dialect NLP

Archimedes Workshop on Dialect NLP

25 August 2025

Upcoming workshop on Dialect NLP on “Standardization and Variation for Dialect Varieties with Universal Dependencies as an Application Framework” coming up. We are excited to announce that the Dialect NLP team at Archimedes, Athena Research Center, Greece, is organizing a workshop in collaboration with the MaiNLP Research Lab at Ludwig Maximilian University (LMU) of Munich.

More news items here
 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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