no code implementations • 3 Dec 2023 • Xiao Guo, Vishal Asnani, Sijia Liu, Xiaoming Liu
To explore such important dependencies, we propose a novel model parsing method called Learnable Graph Pooling Network (LGPN).
no code implementations • 27 Jun 2023 • Xiao Guo, Xiang Li, Xiangyu Chang, Shujie Ma
To remove the bias incurred by RR and the squared network matrices, we develop a two-step bias-adjustment procedure.
1 code implementation • CVPR 2023 • Xiao Guo, Xiaohong Liu, Zhiyuan Ren, Steven Grosz, Iacopo Masi, Xiaoming Liu
As a result, the algorithm is encouraged to learn both comprehensive features and inherent hierarchical nature of different forgery attributes, thereby improving the IFDL representation.
no code implementations • 6 Jan 2023 • Shuai Liu, Xiao Guo, Shun Qi, Huaning Wang, Xiangyu Chang
In particular, we derive a closed-form expression for the local update step and use the iterative proximal projection method to deal with the group fused lasso penalty in the global update step.
3 code implementations • 23 Aug 2022 • Xiao Guo, Yaojie Liu, Anil Jain, Xiaoming Liu
In this work, we study multi-domain learning for face anti-spoofing(MD-FAS), where a pre-trained FAS model needs to be updated to perform equally well on both source and target domains while only using target domain data for updating.
no code implementations • 1 Mar 2021 • Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang
The low communication power and the possible privacy breaches of data make the computation of eigenspace challenging.
no code implementations • 1 Jan 2021 • I-Hung Hsu, Xiao Guo, Premkumar Natarajan, Nanyun Peng
The ability to capture complex linguistic structures and long-term dependencies among words in the passage is essential for discourse-level relation extraction (DRE) tasks.
no code implementations • 5 Jul 2020 • Xiao Guo, Hengameh Mirzaalian, Ekraam Sabir, Ayush Jaiswal, Wael Abd-Almageed
To overcome this gap, we introduce CORD19STS dataset which includes 13, 710 annotated sentence pairs collected from COVID-19 open research dataset (CORD-19) challenge.
no code implementations • 25 Apr 2020 • Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
Directed networks are broadly used to represent asymmetric relationships among units.
no code implementations • 20 Jan 2020 • Hai Zhang, Xiao Guo, Xiangyu Chang
In this paper, we study the spectral clustering using randomized sketching algorithms from a statistical perspective, where we typically assume the network data are generated from a stochastic block model that is not necessarily of full rank.
no code implementations • 6 Sep 2019 • Wenqing Su, Xiao Guo, Hai Zhang
In this paper, we study the problem of precision matrix estimation when the dataset contains sensitive information.
1 code implementation • 20 Feb 2019 • Xiao Guo, Jongmoo Choi
Skel-TNet consists of three components: SkelNet and a Recurrent Neural Network, they have advantages in learning spatial and temporal dependencies for predicting human motion, respectively; a feed-forward network that outputs the final estimation.