Best Paper Section IEEE International Conference on Automatic Face and Gesture Recognition 2021

Rachael E. Jack;Vishal M. Patel;Pavan Turaga;Mayank Vatsa;Rama Chellappa;Alex Pentland;Richa Singh
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Abstract

The IEEE International Conference on Automatic Face and Gesture Recognition (FG) is the premier international conference on vision-based automatic face and body behavior analysis and applications. Since the first meeting in Zurich in 1994, the FG conference has grown from a biennial conference to an annual meeting, presenting the advancements and latest research developments related to face and gesture analysis. FG2021 was planned to be an in-person meeting hosted in the historic city of Jodhpur, India. However, due to the COVID-19 pandemic situation, the organizing committee decided to hold FG2021 as an online conference from December 15 to 18, 2021. Over 142 papers were presented at FG2021 and based on the reviewers and area chair recommendations, PC Chairs invited a set of top reviewed papers as part of a special issue on “Best of Face & Gesture 2021” in the IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM). The meticulous review process of T-BIOM ensured that significantly extended research papers that were initially presented at FG2021 are included in this special issue. The nine accepted papers can be classified into three sets: (i) algorithms with 3D information based face/motion processing, (ii) algorithms towards head pose estimation, emotion recognition, differentiable rendering, dictionary attacks, and group detection, and (iii) the student engagement dataset for affect transfer learning for behavior prediction.
2021年IEEE自动人脸和手势识别国际会议最佳论文部分
IEEE自动人脸和手势识别国际会议(FG)是基于视觉的自动人脸和身体行为分析与应用的首要国际会议。自1994年在苏黎世举行第一次会议以来,FG会议已从两年一度的会议发展为年度会议,介绍了人脸和手势分析的进展和最新研究进展。FG2021计划在印度历史名城焦特布尔举行一次面对面的会议。然而,由于新冠肺炎疫情,组委会决定于2021年12月15日至18日举办FG2021在线会议。超过142篇论文在FG2021上发表,根据评审员和地区主席的建议,PC主席邀请了一组顶级评审论文,作为IEEE生物识别、行为和身份科学汇刊(T-BIOM)“2021最佳面部和手势”特刊的一部分。T-BIOM的细致审查过程确保了最初在FG2021上发表的大量扩展研究论文被纳入本特刊。这九篇被接受的论文可以分为三组:(i)基于3D信息的人脸/运动处理算法,(ii)头部姿态估计、情绪识别、可微分渲染、字典攻击和群体检测算法,以及(iii)用于行为预测的情感迁移学习的学生参与数据集。
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