no code implementations • 16 Jun 2022 • Zijun Cui, Naiyu Yin, Yuru Wang, Qiang Ji
Causal discovery is to learn cause-effect relationships among variables given observational data and is important for many applications.
no code implementations • CVPR 2021 • Tengfei Song, Zijun Cui, Yuru Wang, Wenming Zheng, Qiang Ji
Second, we introduce probabilistic graph convolution that allows to perform graph convolution on the distribution of Bayesian Network structure to extract AU structural features.
no code implementations • NeurIPS 2020 • Zijun Cui, Tengfei Song, Yuru Wang, Qiang Ji
This paper proposes to systematically capture their dependencies and incorporate them into a deep learning framework for joint facial expression recognition and action unit detection.