This challenge was organized by ChaLearn.
The organization team included:
Isabelle Guyon, Clopinet, Berkeley, California.
Vassilis Athitsos, University of Texas at Arlington, Texas.
Pat Jangyodsuk, University of Texas at Arlington, Texas.
Hugo-Jair Escalante, IANOE, Mexico.
The on-line-submission of results was hosted by Kaggle. Special thanks to Ben Hamner for his help.
The advisors included:
- Machine learning:
David Aha, Naval Research Laboratory, USA
Yoshua Bengio, Université de Montréal, Canada
Yann LeCun, New York University, USA
Urs Mueller, Net-Scale Technologies, USA
Andrew Ng, Stanford University, USA
Daniel Silver, Acadiau University, Canada
Graham Taylor, University of Guelph, Canada
- Machine vision:
Richard Bowden, University of Surrey, UK
Philippe Dreuw, Aachen University, Germany
Ivan Laptev, INRIA, France
Jitendra Malik, UC Berkeley, USA
Greg Mori, Simon Fraser University, Canada
Christian Vogler, ILSP, Athens, Greece
- Industry sponsors:
Alex Kipman, Microsoft, USA
Laura Massey, Microsoft, USA
Branislab Kisacanin, Texas Instrument, USA
We would also like to thank the data donors, our advisors and collaborators for contributing to the design of the challenge and the board of ChaLearn who reviewed the final rules. We are grateful for the support of Microsoft, Texas Instrument, the US National Science Foundation, the DARPA Deep Learning program, the EU Pascal2 network of excellence and the Challenges in Machine Learning foundation. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsors.