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Kyrillos
KokaEmad
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KokaEmad
kyrillos-emad-0860341bb
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πππ New Research Alert - ICCV 2025 (Oral)! ππ€π π Title: Understanding Co-speech Gestures in-the-wild π π Description: JEGAL is a tri-modal model that learns from gestures, speech and text simultaneously, enabling devices to interpret co-speech gestures in the wild. π₯ Authors: @sindhuhegde, K R Prajwal, Taein Kwon, and Andrew Zisserman π Conference: ICCV, 19 β 23 Oct, 2025 | Honolulu, Hawai'i, USA πΊπΈ π Paper: https://huggingface.co/papers/2503.22668 π Web Page: https://www.robots.ox.ac.uk/~vgg/research/jegal π Repository: https://github.com/Sindhu-Hegde/jegal πΊ Video: https://www.youtube.com/watch?v=TYFOLKfM-rM π ICCV-2023-25-Papers: https://github.com/DmitryRyumin/ICCV-2023-25-Papers π Added to the Human Modeling Section: https://github.com/DmitryRyumin/ICCV-2023-25-Papers/blob/main/sections/2025/main/human-modeling.md π More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin π Keywords: #CoSpeechGestures #GestureUnderstanding #TriModalRepresentation #MultimodalLearning #AI #ICCV2025 #ResearchHighlight
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Microsoft Phi 42
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