Automatic Transcription of Dance

E. Erzin, Y. Yemez
Concept:
We are accepting M.Sc. & Ph.D. students:
A number of scholarships are available for competitive research assistants on this topic in the MVGL lab. Please visit the graduate program web page for details and application procedures.


Publications:

  1. Ferda Ofli. Learning Statistical Music-to-Dance Mappings for Choreography Synthesis. PhD thesis, Koc University, 2010.
  2. F. Ofli, E. Erzin, Y. Yemez, A.M. Tekalp, "Learn2Dance: Learning Statistical Music-to-Dance Mappings for Choreography Synthesis," submitted to IEEE Transactions on Multimedia.
  3. F. Ofli, Y. Demir, Y. Yemez, E. Erzin, A.M. Tekalp, K. Balci, I. Kizoglu, L. Akarun, C. Canton-Ferrer, J. Tilmanne, ve E. Bozkurt, ``An audio-driven dancing avatar,'' Journal on Multimodal User Interfaces, vol. 2, no. 2, pp. 93-103, September 2008.
  4. F. Ofli, E. Erzin, Y. Yemez, A.M. Tekalp, "Multi-modal analysis of dance performances for music-driven choreography synthesis," ICASSP'10 Dallas, USA.
  5. F. Ofli, E. Erzin, Y. Yemez, A. M. Tekalp, A. T. Erdem, C. Erdem, T. Abaci, M. Ozkan "Unsupervised Dance Figure Analysis from Video for Dancing Avatar Animation," ICIP'08 San Diego, USA.
  6. Y. Demir, E. Erzin, Y. Yemez, and A. M. Tekalp, ”Evaluation of Audio Features for Audio-Visual Analysis of Dance Figures,” EUSIPCO'08, Lausanne, Switzerland.
  7. F. Ofli, C. Canton-Ferrer, J. Tilmanne, Y. Demir, E. Bozkurt, Y. Yemez, E. Erzin, A.M. Tekalp, "Audio-driven human body motion analysis and synthesis," ICASSP'08 Las Vegas, USA.
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