Nikolaos Zioulis
Computer Vision, Graphics & Machine Learning R&D Engineer
Visual Computing Lab, Information Technologies Institute, Centre for Research and Technology Hellas
About me
A research engineer working at the intersection of computer graphics, computer (3D) vision and machine learning technologies with a focus on immersive / emerging media and live realistic tele-presence technologies spanning across the XR spectrum.
Interests
- Computer Vision
- ComputerGraphics
- MachineLearning
Education
-
Electrical and Computer Engineer
Aristotle University of Thessaloniki, School of Electrical and Computer Engineering
Experience
R&D Engineer
Responsibilities include:
- Research & Development
- Project Management
- Funding Acquisition
- Team Technical Leading
Projects
Collaborative R&D
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Recent Publications
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(2021).
PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes.
In CVPRW21.
(2021).
Zeroth-Order Optimizer Benchmarking for 3D PerformanceCapture.
In GECCO21.
(2021).
DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss.
In ECCVW20.
(2020).
HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media.
In IEEEACCESS20.
(2020).
XR360: A Toolkit for Mixed 360 and 3D Productions.
In ICMEW20.
(2020).
Deep Lighting Environment Map Estimation from Spherical Panoramas.
In CVPRW20.
(2019).
360° Surface Regression with a Hyper-Sphere Loss.
In 3DV19.
(2019).
Spherical View Synthesis for Self‑Supervised 360 Depth Estimation.
In 3DV19.
(2018).
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas.
In ECCV18.
(2018).
Fast deformable model-based human performance capture and FVV using consumer-grade RGB-D sensors.
In PR18.
(2017).
Improving Camera Pose Estimation via Temporal EWA Surfel Splatting.
In ISMAR17.
