no code implementations • 5 Apr 2024 • Yufei Zhang, Jeffrey O. Kephart, Zijun Cui, Qiang Ji
PhysPT exploits a Transformer encoder-decoder backbone to effectively learn human dynamics in a self-supervised manner.
no code implementations • 15 Apr 2023 • Yizhou Zhang, Loc Trinh, Defu Cao, Zijun Cui, Yan Liu
Recent years have witnessed the sustained evolution of misinformation that aims at manipulating public opinions.
no code implementations • CVPR 2023 • Zijun Cui, Chenyi Kuang, Tian Gao, Kartik Talamadupula, Qiang Ji
In this paper, we propose a biomechanics-guided AU detection approach, where facial muscle activation forces are modelled, and are employed to predict AU activation.
no code implementations • 30 Nov 2022 • Zijun Cui, Tian Gao, Kartik Talamadupula, Qiang Ji
Based on our taxonomy, we provide a systematic review of existing techniques, different from existing works that survey integration approaches agnostic to taxonomy of knowledge.
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, Wenming Zheng, Qiang Ji
In this paper, we propose a novel hybrid message passing neural network with performance-driven structures (HMP-PS), which combines complementary message passing methods and captures more possible structures in a Bayesian manner.
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.
no code implementations • 16 Sep 2020 • Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji
Knowledge graph completion (also known as relation prediction) is the task of inferring missing facts given existing ones.