Papers Micro-gesture Recognition
“Micro-gesture Recognition” 태그가 달린 논문 13편 · 필터 해제
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 RecognitionOnline Micro-gesture Recognition Using Data Augmentation and Spatial-Temporal Attention
In this paper, we introduce the latest solution developed by our team, HFUT-VUT, for the Micro-gesture Online Recognition track of the IJCAI 2025 MiGA Challenge. The Micro-gesture Online Recognition task is a highly chal…
Micro-gesture RecognitionData AugmentationAction DetectionMM-Gesture: Towards Precise Micro-Gesture Recognition through Multimodal Fusion
In this paper, we present MM-Gesture, the solution developed by our team HFUT-VUT, which ranked 1st in the micro-gesture classification track of the 3rd MiGA Challenge at IJCAI 2025, achieving superior performance compar…
Micro-gesture RecognitionTransfer LearningPrototype Learning for Micro-gesture Classification
In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the track of Micro-gesture Classification in the MiGA challenge at IJCAI 2024. The task of micro-gesture classification task involves …
Action RecognitionClassificationGesture RecognitionMicro-gesture RecognitionIdentity-free Artificial Emotional Intelligence via Micro-Gesture Understanding
In this work, we focus on a special group of human body language -- the micro-gesture (MG), which differs from the range of ordinary illustrative gestures in that they are not intentional behaviors performed to convey in…
Action RecognitionDeception DetectionEmotional IntelligenceGesture Recognition+1Enhancing Micro Gesture Recognition for Emotion Understanding via Context-aware Visual-Text Contrastive Learning
Psychological studies have shown that Micro Gestures (MG) are closely linked to human emotions. MG-based emotion understanding has attracted much attention because it allows for emotion understanding through nonverbal bo…
Contrastive LearningGesture RecognitionMicro-gesture RecognitionHigh-speed Low-consumption sEMG-based Transient-state micro-Gesture Recognition
Gesture recognition on wearable devices is extensively applied in human-computer interaction. Electromyography (EMG) has been used in many gesture recognition systems for its rapid perception of muscle signals. However, …
Action DetectionElectromyography (EMG)Gesture RecognitionMicro-gesture RecognitionJoint Skeletal and Semantic Embedding Loss for Micro-gesture Classification
In this paper, we briefly introduce the solution of our team HFUT-VUT for the Micros-gesture Classification in the MiGA challenge at IJCAI 2023. The micro-gesture classification task aims at recognizing the action catego…
Action ClassificationClassificationGesture RecognitionMicro-gesture Recognition