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.
Proceeding Downloads
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, ...
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 ...
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 ...
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 ...
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 ...
- Proceedings of the 1st Workshop on Facial Micro-Expression: Advanced Techniques for Facial Expressions Generation and Spotting
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
FME '22 | 5 | 2 | 40% |
Overall | 5 | 2 | 40% |