Papers Micro-Action Recognition
“Micro-Action Recognition” 태그가 달린 논문 11편 · 필터 해제
A New Multi-Domain Benchmark for Micro-Action Recognition and Detection
Micro-actions are short-duration, low-amplitude subtle body movements at the whole-body level that can reveal latent intentions, involuntary reactions, and fine-grained affective changes. Our previous MA-52 benchmark has…
Micro-Action RecognitionAction UnderstandingEmotion RecognitionAction DetectionMicro-DualNet: Dual-Path Spatio-Temporal Network for Micro-Action Recognition
Micro-actions are subtle, localized movements lasting 1-3 seconds such as scratching one's head or tapping fingers. Such subtle actions are essential for social communication, ubiquitously used in natural interactions, a…
Micro-Action RecognitionB-MoE: A Body-Part-Aware Mixture-of-Experts "All Parts Matter" Approach to Micro-Action Recognition
Micro-actions, fleeting and low-amplitude motions, such as glances, nods, or minor posture shifts, carry rich social meaning but remain difficult for current action recognition models to recognize due to their subtlety, …
Micro-Action RecognitionEvery Subtlety Counts: Fine-grained Person Independence Micro-Action Recognition via Distributionally Robust Optimization
Micro-action Recognition is vital for psychological assessment and human-computer interaction. However, existing methods often fail in real-world scenarios because inter-person variability causes the same action to manif…
Micro-Action RecognitionMotion Matters: Motion-guided Modulation Network for Skeleton-based Micro-Action Recognition
Micro-Actions (MAs) are an important form of non-verbal communication in social interactions, with potential applications in human emotional analysis. However, existing methods in Micro-Action Recognition often overlook …
Micro-Action RecognitionRepresentation LearningAction ClassificationTowards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach
Micro-Action Recognition (MAR) aims to classify subtle human actions in video. However, annotating MAR datasets is particularly challenging due to the subtlety of actions. To this end, we introduce the setting of Semi-Su…
Action RecognitionMicro-Action RecognitionPrototypical Calibrating Ambiguous Samples for Micro-Action Recognition
Micro-Action Recognition (MAR) has gained increasing attention due to its crucial role as a form of non-verbal communication in social interactions, with promising potential for applications in human communication and em…
Action RecognitionEmotion RecognitionMicro-Action RecognitionBenchmarking Micro-action Recognition: Dataset, Methods, and Applications
Micro-action is an imperceptible non-verbal behaviour characterised by low-intensity movement. It offers insights into the feelings and intentions of individuals and is important for human-oriented applications such as e…
Action RecognitionBenchmarkingMicro-Action RecognitionDetailed 2D-3D Joint Representation for Human-Object Interaction
Human-Object Interaction (HOI) detection lies at the core of action understanding. Besides 2D information such as human/object appearance and locations, 3D pose is also usually utilized in HOI learning since its view-ind…
Action UnderstandingHuman-Object Interaction DetectionMicro-Action RecognitionObject+1TSM: Temporal Shift Module for Efficient Video Understanding
The explosive growth in video streaming gives rise to challenges on performing video understanding at high accuracy and low computation cost. Conventional 2D CNNs are computationally cheap but cannot capture temporal rel…
3D Action RecognitionAction ClassificationAction RecognitionMicro-Action Recognition+6Temporal Segment Networks for Action Recognition in Videos
Deep convolutional networks have achieved great success for image recognition. However, for action recognition in videos, their advantage over traditional methods is not so evident. We present a general and flexible vide…
Action ClassificationAction RecognitionAction Recognition In VideosMicro-Action Recognition+2