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FME'21: Proceedings of the 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting
ACM2021 Proceeding
  • General Chair:
  • Wen-Huang Cheng,
  • Program Chairs:
  • Jingting Li,
  • Moi Hoon Yap
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
MM '21: ACM Multimedia Conference Virtual Event China 24 October 2021
ISBN:
978-1-4503-8683-8
Published:
20 October 2021
Sponsors:
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Abstract

It is our great pleasure to welcome you to the 2021 ACM Multimedia - FME 2021. This year's workshop continues its tradition of being the premier activity for presenting research results and experience reports on facial micro-expression analysis. This workshop concerns interpreting and synthesizing interactive emotional behaviors, addressing the theme of engaging/connecting people with multimedia. Furthermore, the workshop addresses emotion understanding and FER with extended preference/emphasis on the multi-modality approach. In addition to this workshop, we also organized a Facial Micro-Expression (FME) Challenge under the track of ACM MM '21 Multimedia Grand Challenges. The FME challenge focus on two tasks, including ME generation, and MaE and ME spotting from long videos. FME'21 gives researchers and practitioners a unique opportunity to share their perspectives with others interested in the various aspects of facial expression and especially micro-expression analysis.

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SESSION: Session: Advanced Techniques for Facial Expressions Generation and Spotting
research-article
FaceTrack: Asymmetric Facial and Gesture Analysis Tool for Speech Language Pathologist Applications

In this paper, a novel tool for facial and gesture analysis aiming to quantify different subjective measures employed in the Speech Language Pathologist area is proposed. Through an input video (from a simple monocular camera) showing a person's face, ...

research-article
Facial Action Unit Detection with Local Key Facial Sub-region based Multi-label Classification for Micro-expression Analysis

Micro-expressions describe unconscious facial movements which reflect a person's psychological state even when there is an attempt to conceal it. Often used in psychological and forensic applications, their manual recognition requires professional ...

research-article
Transfer Spatio-Temporal Knowledge from Emotion-Related Tasks for Facial Expression Spotting

Facial micro-expression computational analyses are becoming a prevalent research area, automatically micro-expression spotting as the first-in-the-pipeline problem has not been resolved yet. There are two main factors that confine the performance of ...

research-article
Spatio-temporal Convolutional Attention Network for Spotting Macro- and Micro-expression Intervals

Emotional detection based on facial expressions is an important procedure in high-risk tasks such as criminal investigation or lie detection. To reduce the impact of the inconsistency in the duration of macro- and micro-expression, we propose an ...

research-article
Open Access
A Brief Guide: Code for Spontaneous Expressions and Micro-Expressions in Videos

Facial expressions are an important way for humans to perceive emotions. The advent of facial action coding systems has enabled the quantification of facial expressions. Moreover, a large amount of annotated data facilitates the performance of deep ...

Contributors
  • National Taiwan University
  • Institute of Psychology Chinese Academy of Sciences
  • Manchester Metropolitan University
  1. Proceedings of the 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting

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    Acceptance Rates

    Overall Acceptance Rate 2 of 5 submissions, 40%
    YearSubmittedAcceptedRate
    FME '225240%
    Overall5240%