Nikolaos Zioulis

Nikolaos Zioulis

Computer Vision, Graphics & Machine Learning Engineer & Scientist

About me

Rethinking Motion Capture (MoCap) at the intersection of volumetric capture, body simulation and machine learning technologies. Leading a team of experienced engineers across the entire stack of capturing and cloud services spanning activities ranging from high level AI integration to low-level real-time implementations.

Interests
  • Computer Vision
  • Computer Graphics
  • Machine Learning
Education
  • PhD in Computer Vision & Machine Learning, 2023

    Universidad Politecnica de Madrid

  • BSc, MSc, Electrical and Computer Engineer, 2012

    Aristotle University of Thessaloniki, School of Electrical and Computer Engineering

Experience

 
 
 
 
 
Chief Technology Officer (CTO)
Feb 2023 – Present Thessaloniki, Greece

Responsibilities include:

  • Motion Capture Innovation
  • Principal Scientist
  • Technical Overview
  • Intellectual Property
 
 
 
 
 
R&D & Technology Consultant
Nov 2021 – Feb 2022 Remote, USA

Responsibilities include:

  • Research & Development
  • Technical Consultancy
  • Human Body Fitting
  • Virtual TryOn
 
 
 
 
 
R&D Engineer
Oct 2013 – Dec 2021 Thessaloniki, Greece

Responsibilities include:

  • Research & Development
  • Project Management
  • Funding Acquisition
  • Team Technical Leading

Other Recent Publications

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(2021). PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes. In CVPRW21.

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(2021). Zeroth-Order Optimizer Benchmarking for 3D PerformanceCapture. In GECCO21.

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(2021). DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss. In ECCVW20.

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(2020). HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media. In IEEEACCESS20.

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(2020). XR360: A Toolkit for Mixed 360 and 3D Productions. In ICMEW20.

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(2020). Deep Lighting Environment Map Estimation from Spherical Panoramas. In CVPRW20.

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(2019). 360° Surface Regression with a Hyper-Sphere Loss. In 3DV19.

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(2019). Spherical View Synthesis for Self‑Supervised 360 Depth Estimation. In 3DV19.

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(2018). OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas. In ECCV18.

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(2018). Fast deformable model-based human performance capture and FVV using consumer-grade RGB-D sensors. In PR18.

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(2017). Improving Camera Pose Estimation via Temporal EWA Surfel Splatting. In ISMAR17.

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(2017). An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing. In TCSVT17.

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