1 code implementation • COLING 2020 • Yuting Hu, Suzan Verberne
There is a large body of work on Biomedical Entity Recognition (Bio-NER) for English but there have only been a few attempts addressing NER for Chinese biomedical texts.
no code implementations • 16 Mar 2020 • Yuting Hu, Zhiling Long, Anirudha Sundaresan, Motaz Alfarraj, Ghassan AlRegib, Sungmee Park, Sundaresan Jayaraman
We formulate the problem as a very fine-grained texture classification problem, and study how deep learning-based texture representation techniques can help tackle the task.
no code implementations • 4 Feb 2020 • Yuting Hu, Zhen Wang, Ghassan AlRegib
In this paper, we present an efficient and distinctive local descriptor, namely block intensity and gradient difference (BIGD).
no code implementations • 24 May 2019 • Hasan Al-Marzouqi, Yuting Hu, Ghassan AlRegib
Image retrieval is an important problem in the area of multimedia processing.
1 code implementation • 23 May 2019 • Yuting Hu, Zhiling Long, Ghassan AlRegib
In this paper, we propose a multi-level texture encoding and representation network (MuLTER) for texture-related applications.
no code implementations • 4 Feb 2019 • Zhongliang Yang, Hao Yang, Yuting Hu, Yongfeng Huang, Yu-Jin Zhang
To solve these two challenges, in this paper, combined with the sliding window detection algorithm and Convolution Neural Network we propose a real-time VoIP steganalysis method which based on multi-channel convolution sliding windows.
no code implementations • 19 Dec 2018 • Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Yuting Hu, Zhen Wang, Motaz Alfarraj, Ghassan AlRegib, Asjad Amin, Mohamed Deriche, Suhail Al-Dharrab, Haibin Di
We focus on spatial attributes in this study and examine them in a new application for seismic interpretation, i. e., seismic volume labeling.
no code implementations • 20 Mar 2017 • Yuting Hu, Liang Zheng, Yi Yang, Yongfeng Huang
Second, texts in these datasets are written in well-organized language, leading to inconsistency with realistic applications.