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Found 3 papers, 1 papers with code
Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model
Based on a large-scale pre-trained Vision Language Model (VLM), our model learns and improves visual, textual, and numerical representations of patient gait videos, through a collective learning across three distinct modalities: gait videos, class-specific descriptions, and numerical gait parameters.
4D Facial Expression Diffusion Model
In this paper, we introduce a generative framework for generating 3D facial expression sequences (i. e. 4D faces) that can be conditioned on different inputs to animate an arbitrary 3D face mesh.
DSNet: Dynamic Skin Deformation Prediction by Recurrent Neural Network
Our network also learns to predict the variation of skin dynamics across different individuals with varying body shapes.
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