- General Chairs:
- Adrian K. Davison,
- Jingting Li,
- Program Chairs:
- Moi Yap,
- John See,
- Wen-Huang Cheng,
- Xiaobai Li,
- Xiaopeng Hong,
- Su-Jing Wang
It is our great pleasure to welcome you to the 2023 ACM Multimedia - FME 2023. 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 Grand Challenge (MEGC) under the track of ACM MM '23 Multimedia Grand Challenges. The FME challenge focuses on MaE and ME spotting from long videos. FME'23 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
Nonlinear Deep Subspace Network for Micro-expression Recognition
Deep learning (DL) models have been widely studied in the field of micro-expression recognition (MER). However, micro-expressions (MEs) suffer from small number of samples and difficulty in extracting subtle and transient features, resulting in limited ...
Simple but Effective In-the-wild Micro-Expression Spotting Based on Head Pose Segmentation
Micro-expressions may occur in high-stake situations when people attempt to conceal or suppress their true feelings. Nowadays, intelligent micro-expression analysis has long been focused on videos captured under constrained laboratory conditions. This ...
GLEFFN: A Global-Local Event Feature Fusion Network for Micro-Expression Recognition
Micro-expressions are facial movements of short duration and low amplitude, which, upon analysis, can reveal genuine human emotions. However, the low frame rate of frame-based cameras hinders the further advancement of micro-expression recognition (MER)...
Index Terms
- Proceedings of the 3rd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis
Recommendations
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Multimodal interface for human-machine communicationMost automatic expression analysis systems attempt to recognize a small set of prototypic expressions, such as happiness, anger, surprise, and fear. Such prototypic expressions, however, occur rather infrequently. Human emotions and intentions are more ...
Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| FME '22 | 5 | 2 | 40% |
| Overall | 5 | 2 | 40% |