Saeed Ghorbani
Saeed is a PhD student working on human motion representation for action classification, motion prediction, and character animation using deep learning approaches. He was previously at Sharif University, Iran, and University of Wollongong, Australia.
Publications
Proceedings:
- Ghorbani, S., Etemad, A., Troje, N. F. (2019) Auto-labelling of markers in optical motion capture by permutation learning. LNCS Springer Proceedings of Computer Graphics International (CGI), Awarded with the Best Full Paper Award Link
- Ghayoor, A., Ghorbani, S., & Shirazi, A. A. B. (2010). Sub-pixel image registration based on physical forces. In IEEE International Conference on Wireless Communications & Signal Processing (WCSP) (pp. 1-5).
Symposia and Published Abstracts:
- Ghorbani, N., Etemad, A., Troje, N. F. (2019) Automatic initialization and tracking of markers in optical motion capture by learning to rank CVR Vision Conference, Toronto. Link
- Loeffler, J., Kenny, S., Ghorbani, S., Raab, M., Cañal-Bruland, R., Troje, N. F. (2018) Der Einfluss inkongruenter visueller und propriozeptiver Information auf kinematische Parameter. Jahrestagung der Arbeitsgemeinschaft für Sportpsychologie (ASP), Cologne.
News
May 8, 2019: Our work on Auto-labelling of markers in optical motion capture won 2nd Place Computer Vision Poster Award at the CVR-VISTA International Conference on Predictive Vision
June 20, 2019: Our work on Auto-labelling of markers in optical motion capture won best full paper award in International Conference in Computer Graphics
July 16, 2019: June 20, 2019: Our work on Auto-labelling of markers in optical motion capture is posted on YorkU Visa news