The pipeline of our proposed method. (a) is our proposed pipeline where we scan multi-view RGBD images for initialization and reconstruct 3D Gaussian field via feature distillation and geometry ...
Abstract: Object detection is crucial for ensuring safe autonomous driving. However, data-driven approaches face challenges when encountering minority or novel objects in the 3D driving scene. In this ...
SignAvatars is the first large-scale 3D sign language holistic motion dataset with mesh annotations, which comprises 8.34M precise 3D whole-body SMPL-X annotations, covering 70K motion sequences. The ...
Language models (LMs) are powerful tools for natural language processing, but they often struggle to produce coherent and fluent text when they are small. Models with around 125M parameters such as ...
Abstract: Large contrastive vision-language models (VLMs) have recently shown promise in skeleton-based action recognition. However, given the lack of skeleton frame-text training datasets for VLMs, ...
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