iMiGUE-3K is the largest in-the-wild micro-gesture video dataset with 3.4K clips and 37M frames from real interviews, supporting self-supervised foundation models and benchmarks that show micro-gestures improve emotion understanding.
Mm-gesture: towards precise micro-gesture recognition through multimodal fusion,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
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Micro-DualNet employs dual ST and TS pathways with entity-level adaptive routing and Mutual Action Consistency loss to achieve competitive results on MA-52 and state-of-the-art on iMiGUE for micro-action recognition.
citing papers explorer
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iMiGUE-3K: A Large-Scale Benchmark for Micro-Gesture Analysis with Self-Supervised Learning
iMiGUE-3K is the largest in-the-wild micro-gesture video dataset with 3.4K clips and 37M frames from real interviews, supporting self-supervised foundation models and benchmarks that show micro-gestures improve emotion understanding.
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Micro-DualNet: Dual-Path Spatio-Temporal Network for Micro-Action Recognition
Micro-DualNet employs dual ST and TS pathways with entity-level adaptive routing and Mutual Action Consistency loss to achieve competitive results on MA-52 and state-of-the-art on iMiGUE for micro-action recognition.