2017年野外家庭识别研讨会论文集

Y. Fu, Joseph P. Robinson, Ming Shao, Siyu Xia
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引用次数: 0

摘要

我们非常高兴地欢迎您参加2017年野外家庭识别(RFIW)—RFIW'17,这是基于有史以来第一次大规模视觉亲属识别数据挑战研讨会。RFIW'17是与最大的亲属识别图像数据库“野外家庭”(FIW)一起组织的。亲属关系承认有许多实际用途。包括但不限于,法医调查,照片库管理,历史血统和家谱研究,基于社交媒体的分析,失踪儿童和人类追踪案件,以及移民和边境巡逻问题。本次研讨会将涵盖数据挑战的结果、FIW的现状和计划,以及亲属关系识别的过去、现在和未来。RFIW为研究人员和实践者提供了一个独特的机会,与对亲属识别技术的各个方面感兴趣的其他人交流他们的观点。比赛的参加者来自世界各地。我们有近100个团队报名参加了这次活动,其中12个团队提交了有竞争力的结果,其中6个团队发表了他们的作品。RFIW'17研讨会将于2017年10月27日在ACM MM举行。议程包括以下内容:RFIW数据研讨会介绍和概述RFIW顶级表演者在咖啡休息时间进行口头报告(2),由所有其他作者在亲属关系识别,FIW和即将举行的活动的过去,现在和未来进行海报演讲。此外,我们有两个很棒的主题演讲来分享这个问题的免费观点:家庭关系验证的快速DNA性能结果,Christopher Miles(国土安全部),计算机视觉和NLP深度强化学习的最新进展,caaiming Xiong (Salesforce Research),我们鼓励与会者加入我们,向这些有价值和有见地的演讲者学习,这些演讲者将引导我们更好地了解未来。
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Proceedings of the 2017 Workshop on Recognizing Families In the Wild
It is our great pleasure to welcome you to the 2017 Recognizing Families In the Wild (RFIW) -- RFIW'17, based on the 1st ever large-scale visual kinship recognition data challenge workshop. RFIW'17 was organized with Families In the Wild (FIW)-the largest image database for kinship recognition. Kinship recognition has an abundance of practical uses. Including, but not limited to, forensic investigations, photo library management, historic lineage & genealogical studies, social-media- based analysis, cases of missing children & human tracking, and problems of immigration & border patrol. This workshop will cover the results of the data challenge, the current status and plans for FIW, and the past, present and future of kinship recognition. RFIW gives researchers and practitioners a unique opportunity to exchange their perspectives with others interested in the various aspects of kinship recognition technologies. Participants of the competition spanned all over the globe. We had nearly 100 teams register for the event, with 12 teams submitting competitive results, and 6 of which had their work published. RFIW'17 workshop is on 27 October 2017 at ACM MM. The agenda includes the following: RFIW Data Workshop Introduction and Overview Oral presentations (2) given by top performers of RFIW Poster Presentations by all other authors during coffee break Past, Present, and Future of Kinship Recognition, FIW, and upcoming events Additionally, we have two great keynotes coming to share complimentary views of the problem: Rapid DNA Performance Results on Family Relationship Verification, Christopher Miles (Department of Homeland Security) Recent Advances in Deep Reinforcement Learning for Computer Vision and NLP, Caiming Xiong (Salesforce Research) We encourage attendees to join us to learn from these valuable and insightful speakers that will guide us to a better understanding of the future.
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Kin-Verification Model on FIW Dataset Using Multi-Set Learning and Local Features RFIW 2017: LPQ-SIEDA for Large Scale Kinship Verification Session details: Keynote & Invited Talks Recent Progress in Deep Reinforcement Learning for Computer Vision and NLP KinNet
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