Recognizing Co-Speech Gestures in-the-Wild
While humans naturally gesture during speech, only a sparse subset of these co-speech gestures are visually depictive and semantically linked to specific spoken words. In this paper, we introduce a large-scale dataset -- Gesture Recognition in the Wild (GRW), comprising co-speech gestures corresponding to a diverse vocabulary of 155 words. GRW contains 140k manually annotated video clips where the word is spoken, with 17k instances of semantic co-speech gestures including their frame-level temporal boundaries. The video clips are collected 'in the wild' from public-facing discourse, including lectures, talk shows, and interviews, covering a diverse range of speakers and visual conditions....
| Authors | Sindhu B Hegde, K R Prajwal, Andrew Zisserman |
|---|---|
| Primary category | cs.CV |
| Published | 29 May 2026 |
| Last updated at source | 6 August 2026 |
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