[visionlist] 4th RFIW at 2020 IEEE FG: Challenge open + CFP

Joseph Robinson robinson.jo at husky.neu.edu
Thu Nov 14 19:12:37 -04 2019


2020 RFIW: Recognizing Families In the Wild


WebsiteChallenge Site (T1)https://web.northeastern.edu/smilelab/rfiw2020/https://competitions.codalab.org/competitions/21843 
Call for Papers
Challenge BeginsNovember 4, 2019
November 14, 2019
Submission deadlineJanuary 20, 2020
Author notifications (i.e., oral or poster)February 5, 2020
Camera Ready dueFebruary 26, 2020

Topics: computer vision facial recognition artificial intelligence pattern recognition

IEEE international workshop on in conjunction with 2020 FG4th Data Challenge Workshop on Recognizing Families In the Wild (RFIW)-- Automatic Modeling and Analysis of Kinship
We are pleased to announce the fourth large-scale kinship recognition data competition, Recognizing Families In the Wild (RFIW), in conjunction with the 2020 FG. RFIW has been made possible with the release of the largest and most comprehensive image database for automatic kinship recognition, Families in the Wild (FIW) dataset.

All submissions (i.e., challenge papers, general paper submissions, and Brave New Ideas) will be peer-reviewed for publication as part of RFIW2020 in the IEEE International Conference on Automatic Face and Gesture Recognition (2020 AMFG) proceedings. Also, authors will be expected to join workshop during 2020 AMFG conference on 18-22 May in Buenos Aire, Argentina.

2019-11-14 Codalab portal (track 1) now open! (challenge portal)
2019-11-03 Call for Papers (submission link)
Challenge (T1) now open!
Register now, https://competitions.codalab.org/competitions/21843!

Call For Papers
In addition to the three organized task evaluations, we will also add this piece to RFIW2020 (i.e., papers that use FIW in novel ways). The main reason we added this is to ignite the creativity of the community outside the controlled experiments of the task evaluations– we found the assessments to be great for structuring existing problems such that us researchers and practitioners can make fair comparisons of algorithms; however, this limits the scope of the problems of automatic kinship recognition. From this, we expect the light to shed on one or more of the following ways:

·  To advance the state-of-the-art for kinship verification and family classification.

·  To benchmark new tasks for FIW, like fine-grain classification, large-scale search, and retrieval, tri-subject verification.

·  To propose generative models for family photos, relative faces, photo albums, such.

·  To explore and understand multimodal uses of text captions accompanying the family photos of FIW.

·  To pitch cluster, multi-view, and various types of problems.

·  To kinship as a soft attribute for higher-level tasks (e.g., facial recognition, group understanding, social media analysis).

·  Much more.
Previous RFIW Workshops
The first workshop with this name was held in 2017, in conjunction with ACM MM in Mountain View, CA, USA. So far, it has been successfully held 3 times. The homepages of previous RFIW are listed as follows: 
RFIW2017: https://web.northeastern.edu/smilelab/RFIW2017/ 
RFIW2018: https://web.northeastern.edu/smilelab/RFIW2018/ 
RFIW2019: https://web.northeastern.edu/smilelab/RFIW2019/

FIW data was also used to organize Kaggle Competition, https://www.kaggle.com/c/Recognizing-Faces-in-the-Wild
Important Dates
04 Nov 20191st CFP
14 Nov 2019Challenge Begin (Task 1),  
13 Jan 2020Challenge Ends
20 Jan 2020Submissions Due
05 Feb 2020Authors Notified
26 Feb 2020Camera Ready Due
May 18-22RFIW Workshop @ IEEE FG 2020


 Honorary Chair
Rama Chellappa, University of Maryland [http://users.umiacs.umd.edu/~rama/index.html]
Matthew Turk, Toyota Technological Institute at Chicago (TTIC) [https://www.ttic.edu/mturk]

General Chairs
Yun Fu, Northeastern University [http://www1.ece.neu.edu/~yunfu/] 

Workshop Chairs
Joseph Robinson, Northeastern University [http://www.jrobsvision.com]
Ming Shao, University of Massachusetts (Dartmouth) [http://www.cis.umassd.edu/~mshao/]
Siyu Xia, Southeast University (China), Nanjing [https://www.siyuxia.com]
Mike Stopa, Konica Minolta
Samson Timoner, ISMConnect
Yu Yin, Northeastern University

Web and Publicity Co-Chair
Zaid Khan, Northeastern University 
Author Guidelines
Submissions are handled via the workshop's CMT website:



Following the guidelines of IEEE FG: 


·  long: 8 pages (including references)

·  short: 4 pages (+1 for references)

·  Anonymous

·  Using FG template [ Latex, Word ]

Joseph Robinson (robinson.jo at husky.neu.edu)
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA

Ming Shao (mshao at umassd.edu) 
Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA




Joseph Robinson
PhD Candidate— SMILE Lab
Northeastern University
Department of Electrical & Computer Engineering
Email: robinson.jo at husky.neu.edu
Website: www.jrobsvision.com
Cell: (978) 918-2701

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