Recognizing Families in the wild:The 1st Large-Scale Kinship Recognition Data Challenge<br />
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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
Important Dates
Keynote Speakers
Workshop Schedule
Contact Us
This is the first large-scale kinship recognition data competition, in conjunction with ACM MM 2017, made possible with the release of the largest and most comprehensive image database for automatic kinship recognition, Families in the Wild (FIW).

FIW supports 2 laboratory style evaluation protocols:
  1. Kinship Verification (one-to-one)
  2. Family Classification (one-to-many) 
                       
To learn more, participate, and to download data we welcome all individuals and teams to register via CodaLab: Kinship Verification, Family Classification.
For more information on ACM MM, see
http://www.acmmm.org/2017/.
​For more information on the database, see the FIW homepage: 
http://smile-fiw.weebly.com/.

Best paper award will be awarded to top performing team (in terms of results and presentation)

Important Dates


14 May 2017
14 May 2017
15 May  2017
1 June  2017
1 July 2017
19  July 2017
20  July 2017
23  July 2017
31  July 2017
15  August 2017
27  October 2017
Team registration opens.
Training and validation data made available (Phase 1)
Validation server online
​Validation labels made available (Phase 2)
Test ("blind") set and labels for validation data released, validation server closed (Phase 3)
Test results submission deadline ​
Fact sheets submission deadline
Final test results and standing of participants released
Paper submission deadline
Notifications
RFIW Data Challenge Workshop

Keynote Speakers



Christopher Miles (Department of Homeland Security) 
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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). 

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Presenting "Rapid DNA Performance Results on Family Relationship Verification " [abstract]


Caiming Xiong (Salesforce Research) 
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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]

​Workshop Schedule


​RFIW2017 will be held during the afternoon of Friday, October 27th 2017. The tentative schedule is as follows:
2:00
2:15
3:05
3:15
3:25
3:30
4:00
4:50
5:50
6:00
RFIW Data Workshop Introduction and Overview
Keynote 1: Caiming Xiong of Salesforce Research, “Recent Advances in Deep Reinforcement Learning for Computer Vision and NLP”
Oral 1: Yong Li, “KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification”
Oral 2: Qingyan Duan “AdvNet: Adversarial Contrastive Residual Net for 1 Million Kinship Recognition”
3- 2 minute presentations by poster presenters
Conference-wide coffee Break + RFIW Poster Presentation
Past, Present, and Future of Kinship Recognition and FIW database
Keynote 2: Christopher Miles of DHS, "Rapid DNA Performance Results on Family Relationship Verification."
Closing Remarks
RFIW Data Challenge Workshop adjourns

​Conference Schedule

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Evaluation Results


​Kinship Verification (Track I)

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​Family Classification (Track II)

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Summary of submissions coming soon!

Contact Us

Joseph Robinson ([email protected]) and Handong Zhao ([email protected]) 
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
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  • Home
  • Call For Participation
  • Challenges
    • Verification (T-1)
    • Classification (T-2)
  • Submissions
  • People
  • FIW Website