[visionlist] [2020 RFIW at FG] CFP: Kinship recognition challenges and general paper submissions

Zaid Khan khan.za at husky.neu.edu
Sun Dec 22 17:07:43 -04 2019


IEEE international workshop on in conjunction with 2020 FG

*4th Data Challenge Workshop on Recognizing Families In the Wild (RFIW)*

-- Automatic Modeling and Analysis of Kinship

Project Page <http://web.northeastern.edu/smilelab/rfiw2020/>

Overview

We are pleased to announce the fourth large-scale kinship recognition data
competition, Recognizing Families In the Wild (RFIW)
<https://web.northeastern.edu/smilelab/rfiw2020/>, 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 <https://web.northeastern.edu/smilelab/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 <http://fg2020.org/>) proceedings. Also, paper presentations,
either oral and or poster, along with special guest keynote speakers, are
in store for the workshop and award ceremony agenda at the 2020 AMFG
conference on 18-22 May in Buenos Aire, Argentina
<https://www.lonelyplanet.com/argentina/buenos-aires>.
Updates

*All three challenges are live on codalab*! CMT open for paper registration
and submission: papers on novel work in automatic kinship recognition
and *Brave
New Ideas*.

·  *2019-12-11 *Konica Minolta donated to award the best paper. Thank you,
and welcome to our first sponsor!

·  *2019-12-11* Competition portal for track 3 now open! (Codalab (T3)
<https://competitions.codalab.org/competitions/22152>)

o Search & Retrieval of Missing Children (many-to-many)

o Can you generate a ranked list of predicted relatives provided a gallery
of faces for different subjects?

·  *2019-12-11* Test date pushed back! Phase 3 for all tracks scheduled for
13-20 January 2020.

·  *2019-12-04* Competition portal for *track 2 now open*! (Codalab (T2)
<https://competitions.codalab.org/competitions/22117>)

o Verify Tri-subjects (two-to-one, i.e., parents-child)

o Father/Mother-Son; Father/Mother-Daughter.

·  *2019-11-14* Competition portal for *track 1 now open*! (Codalab (T1)
<https://competitions.codalab.org/competitions/21843>)

o Verify Kinship (e.g., grandfather-to-granddaughter)

o 11 different pairwise types and largest set of pairs yet

·  *2019-11-03* Call for Papers (submission link
<https://cmt3.research.microsoft.com/RFIW2020/Submission/Index>)
Call For Papers

Call for *general papers* and *Brave New Ideas* on original work in
automatic kinship and or match the interest of the AMFG community. We added
this to ignite the creativity of the community outside the controlled
settings of evaluations-- where assessments are great for structuring
problems such that researchers and practitioners have a testbed for fair
comparisons of algorithms and reproducible experiments/analysis. However,
this alone limits the scope of use-cases and studies on kinship, as seen in
the visual domain, and beyond. Especially with the data made available with
the latest version of FIW. We hope to see light 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 treat kinship as a soft attribute for higher-level tasks (e.g.,
facial recognition, group understanding, social media analysis).

·  Much more.
Previous RFIW Workshops

Ever since the first RFIW Challenge Workshop as part of the 2017 ACM MM in
Mountain View, CA, USA, we have seen great progress. After three successful
RFIWs (along with a recent Kaggle competition) and great research strides
from the community, we aim for great leaps for this 4th edition. Let's
continue to close the gap between research-and-reality for the highly
applicable technology of automatic kinship recognition.

Taking a look back, here are 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 on Kaggle, https://www.kaggle.com/c/Recognizing-Faces-in-the-Wild
Important Dates

Challenge ends: *20** Jan 2020*

Papers due:* 28 Jan*

Author notifications (i.e., oral or poster):* 5 Feb *

Camera Ready due:* 26 Feb *

Paper presentations & awards, 2020 FG Conference:* May 18-22*
People

*Honorary Chairs*

·  *Rama Chellappa* <http://users.umiacs.umd.edu/~rama/index.html>,
University of Maryland

·  *Matthew A. Turk* <https://www.ttic.edu/mturk>, Toyota Technical
Institute of Chicago (TTIC)

*General Chair*

·  *Yun Fu <http://www1.ece.neu.edu/~yunfu/>*, Northeastern University, USA

*Workshop Chairs*

·  *Joseph P. Robinson* <http://www.jrobsvision.com/>, Northeastern
University, USA

·  *Ming Shao <http://www.cis.umassd.edu/~mshao/>*, University of
Massachusetts (Dartmouth)

·  *Siyu Xia* <https://www.siyuxia.com/>, Southeast University (China)

·  *Mike Stopa*, Konica Minolta

·  *Samson Timoner*, ISMConnect

·  *Yu Yin*, Northeastern University, USA

*Web and Publicity Co-Chair*

·  *Zaid Khan*, Northeastern University, USA
Author Guidelines

Submissions made via CMT
<https://cmt3.research.microsoft.com/RFIW2020/Submission/Index>:

Following the guidelines of IEEE FG
<https://fg2020.org/instructions-of-paper-submission-for-review/>:

·  long: 8 pages (including references); short: 4 pages (+1 for references)

·  Anonymous

·  Using FG template [ *Latex
<https://fg2020.org/wp-content/uploads/2019/08/FG2020_latex_template.zip>*,
*Word
<https://fg2020.org/wp-content/uploads/2019/08/msw_a4_format_FG2020_forReview.doc>*
 ]
Contact

For general inquiries, such as requests, ideas, and concerns, please email
the following correspondents:

*Joseph Robinson <http://www.jrobsvision.com/>* (robinson.jo at husky.neu.edu)
Department of Electrical and Computer Engineering, Northeastern University,
Boston, MA, USA

*Ming Shao <http://www.cis.umassd.edu/~mshao/>* (mshao at umassd.edu)
Computer and Information Science, University of Massachusetts Dartmouth,
Dartmouth, MA, USA

*Zaid Khan* (khan.za at husky.neu.edu <Khan.za at husky.neu.edu?subject=RFIW2020>)
Department of Electrical and Computer Engineering, Northeastern University,
Boston, 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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