Daily CVPR - Thursday

Welcome 3 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 to the many brilliant women at this year's CVPR . Finally, one word about CVPR's growth. We had 2800 attendees in 2015; we 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 Editor, Computer Vision News Robotics Institute: Carnegie Mellon University Marketing Manager, RSIP Vision

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