Deep TEN: Texture Encoding Network

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.

Dictionary Learning Material Recognition

Deep Texture Manifold for Ground Terrain Recognition

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.

Differential Viewpoints for Ground Terrain Material Recognition

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.

Autonomous Driving Material Recognition +1

Differential Angular Imaging for Material 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.

Material Recognition

Gated Transfer Network for Transfer Learning

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.

feature selection Transfer Learning

Material Segmentation of Multi-View Satellite Imagery

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.

Material Recognition Segmentation +1

Public discourse and sentiment during the COVID-19 pandemic: using Latent Dirichlet Allocation for topic modeling on Twitter

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.

Twitter Sentiment Analysis

Twitter discussions and emotions about COVID-19 pandemic: a machine learning approach

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.

BIG-bench Machine Learning

Angular Luminance for Material Segmentation

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.

Material Recognition Object Recognition +2

HBert + BiasCorp -- Fighting Racism on the Web

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.

hBERT + BiasCorp - Fighting Racism on the Web

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.