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CVPR Daily: Thursday

Dear Reader,

This is the last issue of

CVPR Daily

for this year. Thus, even though

CVPR 2016

is still in full swing, we would like to think for a moment about what we've

experienced here in Las Vegas.

Everyone agrees about the

exceptional level of the technical program


including the award-winning works:

1) Deep Residual Learning for Image Recognition, by Kaiming He, Xiangyu Zhang,

Shaoqing Ren and Jian Sun;

2) Sublabel-Accurate Relaxation of Nonconvex Energies, by Thomas Möllenhoff,

Emanuel Laude, Michael Moeller, Jan Lellmann and Daniel Cremers;

3) Structural-RNN: Deep Learning on Spatio-Temporal Graphs; by Ashesh Jain,

Amir R. Zamir, SilvioSavarese and Ashutosh Saxena.

Of course there are many other excellent papers featured at the conference.

Through hundreds of presentations, we have discovered the amazing talent of

many outstanding researchers. In its 4 first-ever issues, CVPR Daily has done

its best to uncover, at least partially, all this talent and expose the work of

more than 100 scientists


One of the goals of this magazine is to put some name and stories with the

many faces in the crowd. We deliberately chose to highlight the diversity of

people who are part of our research community, in particular introducing you


the many brilliant women at this year's CVPR


Finally, one word about CVPR's growth. We had 2800 attendees in 2015;


are at 3609 attendees this year

. That makes a year over year growth of nearly

30%. This exceptional progression enables us to look forward to the future of

our community with full confidence and enthusiasm.

We hope the last days of CVPR 2016 are fruitful for you. We believe this week

has created countless channels of communication and strengthened even

more the bonds of the

international computer vision community

. We

wholeheartedly hope to see you all again at CVPR 2017!

Olga Russakovsky

Ralph Anzarouth

Press Chair,

CVPR 2016


Computer Vision News

Robotics Institute:

Carnegie Mellon University

Marketing Manager,

RSIP Vision