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Hand Gesture Recognition in Buddhist Art Images: Evaluation of a Keypoint-based Approach

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Speaker - Li Weng Oral Presentation of the accepted paper: https://dl.acm.org/doi/10.1145/3689094.3689464 Location - SUMAC 2024, the 6th edition of the ACM workshop on analySis, Understanding and proMotion of heritAge Contents, co-located with ACM Multimedia conference.
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SUMAC 2024
6/7
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From Pixels to Preservation: The Power of Large Vision Models in Heritage Content Understanding
57:00

From Pixels to Preservation: The Power of Large Vision Models in Heritage Content Understanding

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2
Creating a Dataset for the Detection & Segmentation of Degradation Phenomena in Notre-Dame de Paris
20:36

Creating a Dataset for the Detection & Segmentation of Degradation Phenomena in Notre-Dame de Paris

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3
4D Geo Modelling from Different Sources at Large Scale
40:54

4D Geo Modelling from Different Sources at Large Scale

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4
Scene Classification on Fine Arts with Style Transfer
29:24

Scene Classification on Fine Arts with Style Transfer

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5
Personalized Gen. Storytelling w/ AI-Visual Illustr's for the Promotion of Knowledge in CH Tourism
17:33

Personalized Gen. Storytelling w/ AI-Visual Illustr's for the Promotion of Knowledge in CH Tourism

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6
Hand Gesture Recognition in Buddhist Art Images: Evaluation of a Keypoint-based Approach
17:21

Hand Gesture Recognition in Buddhist Art Images: Evaluation of a Keypoint-based Approach

1 View
7
Understanding User Engagement in Museum TikTok Videos by Exploring Multimodal Cues
31:51

Understanding User Engagement in Museum TikTok Videos by Exploring Multimodal Cues

1 View

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