Our new oral at ICCV’19 now has a presentation & video:Read the rest
This is a joint work by Hai Xuan Pham, Yuting Wang, and Vladimir Pavlovic. The paper was accepted by the 20th ACM International Conference on Multimodal Interaction.
We present a deep learning framework for real-time speech-driven 3D facial animation … Read the rest
Our new paper on crowd simulation was accepted by ACM SIGGRAPH Conference on Motion, Interaction and Games 2019. Congratulations to Gang!
Crowd simulation, the study of the movement of multiple agents in complex environments, presents a unique application domain for … Read the rest
This is a joint work by Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic.
For unsupervised domain adaptation, the target domain error can be provably reduced by having a shared input representation that makes the source and target domains … Read the rest
Our paper “The Role of Data Driven Priors in Multi-agent Crowd Trajectory Estimation” has been accepted to AAAI’18.
Our paper “Unsupervised Domain Adaptation with Copula Models” was presented this week at the IEEE Int’l Workshop on Machine Learning for Signal Processing in Tokyo, Japan.
It was an exciting meeting; unlike the now mega-conferences of CVPR and … Read the rest