Browse State-of-the-Art › Micro Expression Recognition
Micro Expression Recognition
19 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
19 shown of 19 papers with code (72 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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9 Mar 2024 2 repositories listedIn conclusion, this paper provides valuable insights into the potential applications and challenges of MLLMs in human-centric computing.
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26 Aug 2019 2 repositories listedMicro-expressions are spontaneous, brief and subtle facial muscle movements that exposes underlying emotions.
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22 May 2018 2 repositories listedFacial micro-expression (ME) recognition has posed a huge challenge to researchers for its subtlety in motion and limited databases.
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17 Jun 2025 1 repository listedIn particular, we propose a novel F5C block composed of fully-connected convolution and channel correspondence convolution to directly extract local-global features from a sequence of raw frames, without the prior…
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14 Jun 2025 1 repository listedEvent-based eye tracking holds significant promise for fine-grained cognitive state inference, offering high temporal resolution and robustness to motion artifacts, critical features for decoding subtle mental states…
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11 May 2025 1 repository listedIn this paper, we propose a novel Micro-Expression Large Language Model (MELLM), which incorporates a subtle facial motion perception strategy with the strong inference capabilities of MLLMs, representing the first…
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31 Jan 2025 1 repository listedTo respond to the requirement of adapting to new data while retaining previously learned knowledge, we introduce the first benchmark specifically designed for incremental micro-expression recognition.
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25 Jun 2024 1 repository listedSecondly, we employ efficient channel attention modules in the local-spatial stream to make the network focus on facial regions that are highly relevant to micro-expressions.
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6 May 2024 1 repository listedSpecifically, we first process ME video frames and special frames or data parallelly by our cascaded Unimodal Space-Time Attention (USTA) to establish connections between subtle facial movements and specific facial…
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7 Dec 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)To bridge this gap, we present the quantitative evaluation results of GPT-4V on 21 benchmark datasets covering 6 tasks: visual sentiment analysis, tweet sentiment analysis, micro-expression recognition, facial emotion…
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27 Jul 2023 1 repository listedThe transformer layer is used to focus on representing local minor muscle movement with local self-attention in each area.
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6 Apr 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)By incorporating these components into an end-to-end deep network, the proposed μ-BERT significantly outperforms all previous work in various micro-expression tasks.
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14 Jan 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)By adding the position embeddings of the face generated by PC module at the end of the two branches, the PC module can help to add position information to facial muscle motion pattern features for the MER.
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30 Nov 2021 1 repository listedTo solve these problems, this paper proposes a novel Transfer Group Sparse Regression method, namely TGSR, which aims to 1) optimize the measurement and better alleviate the difference between the source and target…
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9 May 2020 1 repository listedMicro-expressions are reflections of people's true feelings and motives, which attract an increasing number of researchers into the study of automatic facial micro-expression recognition.
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7 Apr 2019 1 repository listedAs researchers working on such topics are moving to learn from the nature of micro-expression, the practice of using deep learning techniques has evolved from processing the entire video clip of micro-expression to the…
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27 Mar 2019 1 repository listedThis paper proposes two 3D-CNN methods: MicroExpSTCNN and MicroExpFuseNet, for spontaneous facial micro-expression recognition by exploiting the spatiotemporal information in CNN framework.
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10 Feb 2019 1 repository listedIn the recent year, state-of-the-art for facial micro-expression recognition have been significantly advanced by deep neural networks.
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6 Nov 2018 1 repository listedThe existence of micro expression in small-local areas on face and limited size of available databases still constrain the recognition accuracy on such emotional facial behavior.
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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