October 23 ~ 27 2017
|
RFIW 2017 |
Mountain View, CA USA
|
Recognizing Families In the Wild (FIW) Data Challenge Workshop
in conjunction with ACM MM 2017
October 23 ~ 27 2017
|
RFIW 2017 |
Mountain View, CA USA
|
|
|
Christopher (Chris) Miles is Deputy Director for Standards Integration and Application in the Capability Development Support Group/Office of Standards of the Department of Homeland Security (DHS) Science and Technology Directorate (S&T). He currently manages the development of rapid and low‐cost DNA analysis for family relationship verification and in the past has managed the biometrics basic research portfolio efforts in multi‐biometric research, standoff biometrics, and decision fusion research. Mr. Miles served as Co‐Chair of the White House National Science and Technology Council (NSTC) Subcommittee on Biometrics & Identity Management that has now transitioned to an Ad Hoc federal committee coordinating the biometrics research and development of 12 Federal Departments. He also is a federal liaison to the Sponsor's Committee for the National Science Foundation (NSF) Center for Identification Technology Research (CITeR), a 10-year Industry/University Cooperative Research Center with 20 federal and industry sponsors and 13 Universities that have conducted over 200 research projects to date (https://citer.clarkson.edu).
Presenting "Rapid DNA Performance Results on Family Relationship Verification " [abstract] |
Currently a lead research scientist at Salesforce. Before that I was a senior researcher at MetaMind. And I worked as a Postdoctoral Researcher Scholar at the University of California, Los Angeles (UCLA) from Jun 2014 to Sep 2015. I got my Ph.D. in the department of Computer Science and Engineering, University at Buffalo, SUNY in 2014 under the supervision of Prof. Jason J. Corso. And I got my B.S. and M.S. of Computer Science degree from Huazhong University of Science and Technology(HUST) in the year 2005 and 2007 in China.
Presenting "Recent Progress in Deep Reinforcement Learning for Computer Vision and NLP" [abstract] |
|
|