no code implementations • EACL (LTEDI) 2021 • Olawale Onabola, Zhuang Ma, Xie Yang, Benjamin Akera, Ibraheem Abdulrahman, Jia Xue, Dianbo Liu, Yoshua Bengio
In this work, we present hBERT, where we modify certain layers of the pretrained BERT model with the new Hopfield Layer.
no code implementations • 6 Apr 2021 • Olawale Onabola, Zhuang Ma, Yang Xie, Benjamin Akera, Abdulrahman Ibraheem, Jia Xue, Dianbo Liu, Yoshua Bengio
In this work, we present hBERT, where we modify certain layers of the pretrained BERT model with the new Hopfield Layer.
no code implementations • 22 Sep 2020 • Jia Xue, Matthew Purri, Kristin Dana
We demonstrate the increased performance of AngLNet over prior state-of-the-art in material segmentation from satellite imagery.
1 code implementation • 22 Sep 2020 • Jia Xue, Hang Zhang, Ko Nishino, Kristin J. Dana
A key concept is differential angular imaging, where small angular variations in image capture enables angular-gradient features for an enhanced appearance representation that improves recognition.
no code implementations • 26 May 2020 • Jia Xue, Junxiang Chen, Ran Hu, Chen Chen, Chengda Zheng, Xiaoqian Liu, Tingshao Zhu
Across all identified topics, the dominant sentiments for the spread of coronavirus are anticipation that measures that can be taken, followed by a mixed feeling of trust, anger, and fear for different topics.
no code implementations • 18 May 2020 • Jia Xue, Junxiang Chen, Chen Chen, Chengda Zheng, Sijia Li, Tingshao Zhu
The study aims to understand Twitter users' discourse and psychological reactions to COVID-19.
no code implementations • 17 Apr 2019 • Matthew Purri, Jia Xue, Kristin Dana, Matthew Leotta, Dan Lipsa, Zhixin Li, Bo Xu, Jie Shan
The residuals are computed by differencing the sparse-sampled reflectance function with a dictionary of pre-defined dense-sampled reflectance functions.
no code implementations • 30 Oct 2018 • Yi Zhu, Jia Xue, Shawn Newsam
Deep neural networks have led to a series of breakthroughs in computer vision given sufficient annotated training datasets.
1 code implementation • CVPR 2018 • Jia Xue, Hang Zhang, Kristin Dana
The GTOS database (comprised of over 30, 000 images of 40 classes of ground terrain in outdoor scenes) enables supervised recognition.
12 code implementations • CVPR 2017 • Hang Zhang, Jia Xue, Kristin Dana
The representation is orderless and therefore is particularly useful for material and texture recognition.
no code implementations • CVPR 2017 • Jia Xue, Hang Zhang, Kristin Dana, Ko Nishino
We realize this by developing a framework for differential angular imaging, where small angular variations in image capture provide an enhanced appearance representation and significant recognition improvement.