Anastasios Yiannakidis

ORCID: 0000-0002-3721-6548
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Human Motion and Animation
  • Human Pose and Action Recognition
  • Music Technology and Sound Studies
  • Music and Audio Processing
  • Sports, Gender, and Society
  • Diversity and Impact of Dance
  • Virtual Reality Applications and Impacts
  • 3D Shape Modeling and Analysis
  • Sport and Mega-Event Impacts
  • Video Analysis and Summarization

University of Cyprus
2021-2022

Reichman University
2021

Cyprus Research and Innovation Center (Cyprus)
2021

Tel Aviv University
2021

Synthesizing human motion with a global structure, such as choreography, is challenging task. Existing methods tend to concentrate on local smooth pose transitions and neglect the context or theme of motion. In this work, we present music-driven synthesis framework that generates long-term sequences motions which are synchronized input beats, jointly form structure respects specific dance genre. addition, our enables generation diverse controlled by content music, not only beat. Our...

10.1109/tvcg.2022.3163676 article EN IEEE Transactions on Visualization and Computer Graphics 2022-03-30

Synthesizing human motion with a global structure, such as choreography, is challenging task. Existing methods tend to concentrate on local smooth pose transitions and neglect the context or theme of motion. In this work, we present music-driven synthesis framework that generates long-term sequences motions which are synchronized input beats, jointly form structure respects specific dance genre. addition, our enables generation diverse controlled by content music, not only beat. Our...

10.48550/arxiv.2111.12159 preprint EN cc-by arXiv (Cornell University) 2021-01-01

In this article, we design and develop a 3-D virtual museum with holistic metadata documentation variety of reptile behaviors movements. First, reconstruct the reptile's mesh in high resolution, then create its rigged/skinned digital counterpart. We acquire movement two subjects using an optical motion capture system, accelerometers, RGB-vision cameras; these movements are segmented annotated to various behaviors. The environment, reality (VR), augmented (AR) functionalities our online...

10.1109/mcg.2022.3189034 article EN IEEE Computer Graphics and Applications 2022-07-07
Coming Soon ...