Dimitris Tzionas

Dimitris Tzionas

Assistant Professor, AUTh

PI of "3Dim Intelligence" (3DI) team

Biography

I am an Assistant Professor at the Aristotle University of Thessaloniki (AUTh), ECE department.

I lead the “3Dim Intelligence” (3DI) research team. Our research is currently supported by an ERC Starting Grant, an ELLIS-Amsterdam grant, an NVIDIA Academic Grant, and a Google Gift. I am an ELLIS Scholar.

     HIRING: I look for new PhDs to start asap at AUThapplication instructions.

Earlier, I was an Assistant Professor (UD1, tenured) for 3D Computer Vision at the University of Amsterdam (UvA), and a Research Scientist at the Perceiving Systems (PS) department at MPI for Intelligent Systems (MPI-IS).

Even earlier, I was a PostDoc at MPI-IS advised by Michael J. Black.

I received a PhD from the University of Bonn for my thesis on Hand-Object Interaction advised by Juergen Gall. I studied Electrical & Computer Engineering at the Aristotle University of Thessaloniki advised by L. Hadjileontiadis.

Recent News

Jul 2026: Congrats to Dimitrije, George, and Sai for being recognised as Outstanding Reviewers for ECCV'26!
Jun 2026: I moved to AUTh (Aristotle Univ. of Thessaloniki) via Greece’s brain-gain framework for ERC holders.
Jun 2026: The team of my CV course ranks top-6 in UvA’s Science Faculty & is nominated for Education Award.
Jun 2026: Congrats to Alvaro, George, Sai, & Shashank for being Outstanding Reviewers for CVPR'26.
Jun 2026: I am recognized as Outstanding Area Chair at CVPR'26.
Apr 2026: We are organizing 3DV 2027 in Thessaloniki – with a kickass organizing team!
Apr 2026: Our project LEXIS is now on ArXiv – congrats Dimitrije et al.!

Research

3Dim Intelligence 3Dim Intelligence

I lead the "3Dim Intelligence" (3DI) team -- we are geographically distributed but know no borders; see our members.

We need AI that understands people in the physical world — not just recognizing them in pixels, but capturing how they move, act, and interact with objects, scenes, and each other. Long term, we aim for systems that perceive humans in their habitat, reason about their behavior, and interact with them to help them achieve their goals, bridging the worlds of bits and atoms for social good.

Concretely, we work at the intersection of Computer Vision, Graphics, and Learning, from a human-centric point of view. We model how people look, move, and interact with objects and scenes, learning their whole-body shape, pose, and their contact and proximal relationships from everyday images and videos, and use these models both to reconstruct real-life actions in 3D/4D and to generate realistic interacting avatars; each of these capabilities feeds back to improve the others.

Potential applications span Physical AI and Virtual Assistants, through Mixed Reality and Human-Computer Interaction, to Healthcare, Behavior-informed Architecture, and Ambient Intelligence.

We are looking for motivated PhD students to build this with us — see how to apply (AUTh positions).

3DI Team

PhD candidates

Alvaro Budria

Alvaro Budria

03/2025 - now @ UvA

Lixin Xue

Lixin Xue

08/2024 - now @ ETH

Co-advising with
M. Pollefeys & O. Hilliges (ETH)
Interns as PhD: Apple

Georgios Paschalidis

Georgios Paschalidis

01/2024 - now @ UvA

Dimitrije Antić

Dimitrije Antić

03/2023 - now @ UvA

(Will) Intern as PhD: NAVER-Europe

Sai Kumar Dwivedi

Sai Kumar Dwivedi

05/2021 - now @ MPI-IS

Co-advising with M. J. Black
Interned as PhD: Meta

PhD alumni

Omid Taheri

Omid Taheri

07/2018 - 07/2024 @ MPI-IS

Co-advising with M. J. Black
Interned as PhD: Adobe
Finalist for Meta PhD Scholarship
Next: PostDoc @ MPI, CEO @ Ontic Labs

Vasileios Choutas

Vasileios Choutas

05/2018 - 12/2022 @ MPI-IS

Co-advising with M. J. Black
Interned as PhD: Microsoft, Meta
Next: Research Scientist @ Google

Yuliang Xiu

Yuliang Xiu

11/2020 - 03/2025 @ MPI-IS

Co-advising with M. J. Black
Interned as PhD: Ubisoft, Meta (soon)
Next: Asst. Prof. @ Westlake University

Long-term PhD collaborators

Shashank Tripathi

Shashank Tripathi

10/2021 - now @ MPI-IS

PhD of M. J. Black
During our collaboration:
- PhD Scholar @ Meta
- Intern @ EPIC

Mohamed Hassan

Mohamed Hassan

01/2018 - 06/2020 @ MPI-IS

PhD of M. J. Black @ MPI-IS
After our collab: Intern @ Adobe

PhD interns

Yixin Chen

Yixin Chen

06/2022 - 12/2022 @ MPI-IS (remotely)

PhD of Song-Chun Zhu @ UCLA

Preprints

IMAGIN-4D: Image-Guided Controllable Interaction Generation
arXiv:2606.23675 – 2026
IMAGIN-4D: Image-Guided Controllable Interaction Generation
LEXIS: LatEnt proXimal Interaction Signatures for 3D HOI from an Image
arXiv:2604.20800 – 2026
LEXIS: LatEnt proXimal Interaction Signatures for 3D HOI from an Image
For preprints (arXiv) please see right above.
RHINO: Reconstructing Human Interactions with Novel Objects from Monocular Videos
Computer Vision and Pattern Recognition – CVPR 2026
RHINO: Reconstructing Human Interactions with Novel Objects from Monocular Videos
SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image
International Conference on Computer Vision – ICCV 2025
SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image
InteractVLM: 3D Interaction Reasoning from 2D Foundational Models
Computer Vision and Pattern Recognition – CVPR 2025
InteractVLM: 3D Interaction Reasoning from 2D Foundational Models
InterDyn: Controllable Interactive Dynamics with Video Diffusion Models
Computer Vision and Pattern Recognition – CVPR 2025
InterDyn: Controllable Interactive Dynamics with Video Diffusion Models
PICO: Reconstructing 3D People In Contact with Objects
Computer Vision and Pattern Recognition – CVPR 2025
PICO: Reconstructing 3D People In Contact with Objects
3D Whole-Body Grasp Synthesis with Directional Controllability
International Conference on 3D Vision – 3DV 2025
3D Whole-Body Grasp Synthesis with Directional Controllability
GRIP: Generating Interaction Poses Using Latent Consistency and Spatial Cues
International Conference on 3D Vision – 3DV 2024
GRIP: Generating Interaction Poses Using Latent Consistency and Spatial Cues
POCO: 3D Pose and Shape Estimation using Confidence
International Conference on 3D Vision – 3DV 2024
POCO: 3D Pose and Shape Estimation using Confidence
DECO: Dense Estimation of 3D Human-Scene COntact in the Wild
International Conference on Computer Vision – ICCV 2023
DECO: Dense Estimation of 3D Human-Scene COntact in the Wild
3D Human Pose Estimation via Intuitive Physics
Computer Vision and Pattern Recognition – CVPR 2023
3D Human Pose Estimation via Intuitive Physics
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
Computer Vision and Pattern Recognition – CVPR 2023
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
Reconstructing Signing Avatars From Video Using Linguistic Priors
Computer Vision and Pattern Recognition – CVPR 2023
Reconstructing Signing Avatars From Video Using Linguistic Priors
Human-Aware Object Placement for Visual Environment Reconstruction
Computer Vision and Pattern Recognition – CVPR 2022
Human-Aware Object Placement for Visual Environment Reconstruction
Learning Multi-Human Optical Flow
International Journal of Computer Vision – IJCV 2020
Learning Multi-Human Optical Flow
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Computer Vision and Pattern Recognition – CVPR 2019
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Learning Joint Reconstruction of Hands and Manipulated Objects
Computer Vision and Pattern Recognition – CVPR 2019
Learning Joint Reconstruction of Hands and Manipulated Objects

Research Experience

 
 
 
 
 
Aristotle University of Thessaloniki (AUTh)
Assistant Professor
Aristotle University of Thessaloniki (AUTh)
June 2022 – Present Thessaloniki
New faculty position created as part of Greece’s brain-gain framework for ERC holders. Expanding my 3DI team in a dual-node Thessaloniki–Amsterdam axis, with members also in Tuebingen and Zurich. Establishing a new research direction at AUTh on 3D Virtual Humans (3D/4D perception from images/videos, 3D/4D synthesis, and applications in Mixed Reality and Robotics). Creating 2x new courses on 3D Computer Vision in the core curriculum. Embedded in the ‘Information Processing Laboratory’.
 
 
 
 
 
University of Amsterdam (UvA)
Assistant Professor (UD1, tenured)
University of Amsterdam (UvA)
June 2022 – June 2026 Amsterdam
Establishing a new research direction at the UvA on 3D Virtual Humans (3D/4D perception from images/videos, and 3D/4D synthesis). Teaching ‘Introduction to Computer Vision’ for the BSc in AI. Embedded in the Computer Vision lab.
 
 
 
 
 
Max Planck Institute for Intelligent Systems (MPI-IS)
Research Scientist
Max Planck Institute for Intelligent Systems (MPI-IS)
October 2018 – May 2022 Tübingen
The Research Scientist role (see description) in research institutes is roughly equivalent to an Assistant Professor at universities. Co-advising PhDs and co-leading part of the PS department’s research agenda.
 
 
 
 
 
Max Planck Institute for Intelligent Systems (MPI-IS)
PostDoc
Max Planck Institute for Intelligent Systems (MPI-IS)
October 2016 – October 2018 Tübingen
Working on 3D hand modeling (MANO, whole-body modeling and registration to 4D scans (SMPL+H), and 3D hand+object reconstruction from a color image (ObMan). Working at the PS department with Michael J. Black and Javier Romero.
 
 
 
 
 
University of Bonn
PhD
University of Bonn
May 2012 – August 2016 Bonn
PhD thesis on ‘Capturing Hand-Object Interaction and Reconstruction of Manipulated Objects’ from RGB-D input. Working under the advice of Prof. Juergen Gall.

Awards & Funding

Paper Awards

Funding (public)

  • ERC Starting Grant 2024 (€1.5M, 5 years) for reconstructing Human-Object Interaction from color images (project STRIPES, 101165317).
  • 1 PhD (350k€, 4 years, 2024–), ELLIS-Amsterdam call. Co-supervised with Otmar Hilliges (ETH) through ELLIS.
  • 1 PhD (350k€, 4 years, 2023–), UvA, Part of tenure-track position. Co-supervised with Theo Gevers.
  • 1 PhD & 1 PostDoc (140k€, 1 year, 2022), BMBF, ‘Machine Learning for Interacting Human Avatars’.
  • 1 PhD (195k€ , 3 years, 2019–), BMBF, ‘Robust 3D Hand-Object Interaction’. Co-supervised with Michael J. Black (MPI-IS) & Cordelia Schmid (INRIA).

Funding (industry)

  • NVidia Academic Grant Program. Hardware, aproximate value $50k.

  • Google Research Gift ($80k unrestricted). Investement for a GPU cluster node.

HPC (cluster/compute)

  • Access on JUPITER Booster (EHPC-REG-2025R02-393)

  • Access on LEONARDO Booster (EHPC-AI-2024A06-077)

Teaching

  • The team of my Computer Vision course (50821COV6Y, link1, link2, link3) ranks top-6 in UvA’s Science Faculty and is candidate for an Education Award for the academic year 2025-2026.

Memberships

Press / Media

Service

Program Committee

 

Tutorials / Workshops

 

Reviewer

NameConference / JournalYear(s)
CVPRConference on Computer Vision and Pattern Recognition2016, 2019, 2020*, 2021*, 2023*
ICCVInternational Conference on Computer Vision2019*, 2021
ECCVEuropean Conference on Computer Vision2020
IJCVTransactions on Pattern Analysis and Machine Intelligence2022-23
TPAMITransactions on Pattern Analysis and Machine Intelligence2016-17, 2020, 2023-24
*Outstanding reviewer award

Other: IJCV 2023, ICRA ( 2017, 2019 ), IROS 2017 , RA - L 2018 , NeurIPS 2018 , IEEE VR 2020, HRI 2016, IJCAI 2019.

 

Teaching

  • Coordinator & Lecturer: “Introduction to Computer Vision” (UvA, BSc, semester 2, period 5) (5082ITCV6)
  • Lecturer: “Computer Vision 1” (UvA, MSc, semester 1, period 1)
    • 2025-2026:    200 students from 6+ programs (mainly AI).

Contact