Micro-gesture Recognition
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Benchmarks
iMiGUE
Most implemented
Enhancing Micro Gesture Recognition for Emotion Understanding via Context-aware Visual-Text Contrastive Learning
Joint Skeletal and Semantic Embedding Loss for Micro-gesture Classification
Papers
A Multi-Modal Framework with Cross-Subject Pseudo-Labeling and Semantic Alignment for Micro-Gesture Recognition
Micro-gestures (MGs) are spontaneous and subtle body movements that frequently convey hidden human emotions. Recognizing MGs in untrimmed videos remains highly challenging due to their extremely low signal-to-noise ratio…
Unsupervised Domain AdaptationMicro-gesture RecognitionSelf-supervised Learning Matters: A Simple Ensemble Solution for Micro-Gesture Recognition
In this paper, we present XInsight Lab's solution to the micro-gesture classification track of the 4th MiGA Challenge at IJCAI 2026, in which our solution ranked first and achieved a new state-of-the-art result. We propo…
Micro-gesture RecognitionSelf-Supervised LearningRepresentation LearningFG-SGL: Fine-Grained Semantic Guidance Learning via Motion Process Decomposition for Micro-Gesture Recognition
Micro-gesture recognition (MGR) is challenging due to subtle inter-class variations. Existing methods rely on category-level supervision, which is insufficient for capturing subtle and localized motion differences. Thus,…
Micro-gesture RecognitionActive Inference for Micro-Gesture Recognition: EFE-Guided Temporal Sampling and Adaptive Learning
Micro-gestures are subtle and transient movements triggered by unconscious neural and emotional activities, holding great potential for human-computer interaction and clinical monitoring. However, their low amplitude, sh…
Micro-gesture RecognitionMulti-Track Multimodal Learning on iMiGUE: Micro-Gesture and Emotion Recognition
Micro-gesture recognition and behavior-based emotion prediction are both highly challenging tasks that require modeling subtle, fine-grained human behaviors, primarily leveraging video and skeletal pose data. In this wor…
Micro-gesture RecognitionBinary ClassificationEmotion RecognitionMSF-Mamba: Motion-aware State Fusion Mamba for Efficient Micro-Gesture Recognition
Micro-gesture recognition (MGR) targets the identification of subtle and fine-grained human motions and requires accurate modeling of both long-range and local spatiotemporal dependencies. While CNNs are effective at cap…
Micro-gesture Recognition