no code implementations • 22 Apr 2022 • Winnie Lin, Yilin Zhu, Demi Guo, Ron Fedkiw
We propose an end-to-end pipeline for both building and tracking 3D facial models from personalized in-the-wild (cellphone, webcam, youtube clips, etc.)
1 code implementation • ACL 2020 • Wenmeng Yu, Hua Xu, Fanyang Meng, Yilin Zhu, Yixiao Ma, Jiele Wu, Jiyun Zou, Kai-Cheng Yang
Previous studies in multimodal sentiment analysis have used limited datasets, which only contain unified multimodal annotations.
no code implementations • 14 Nov 2019 • Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg
Challenges in taking the state-space approach are the estimation of the high-dimensional state of a deformable object from raw images, where annotations are very expensive on real data, and finding a dynamics model that is both accurate, generalizable, and efficient to compute.
no code implementations • 20 Dec 2018 • Ed Quigley, Winnie Lin, Yilin Zhu, Ronald Fedkiw
We tackle the challenging problem of creating full and accurate three dimensional reconstructions of botanical trees with the topological and geometric accuracy required for subsequent physical simulation, e. g. in response to wind forces.
no code implementations • 3 Dec 2018 • Ning Jin, Yilin Zhu, Zhenglin Geng, Ronald Fedkiw
With the aim of creating virtual cloth deformations more similar to real world clothing, we propose a new computational framework that recasts three dimensional cloth deformation as an RGB image in a two dimensional pattern space.