no code implementations • Findings of the Association for Computational Linguistics 2020 • Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Singh, Mohit Bansal
We introduce HoVer (HOppy VERification), a dataset for many-hop evidence extraction and fact verification.
1 code implementation • 17 Apr 2020 • Andras Rozsa, Zheng Zhong, Terrance E. Boult
Regarding image forensics, researchers have proposed various approaches to detect and/or localize manipulations, such as splices.
no code implementations • 26 Mar 2020 • Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen
Purpose: Using machine learning method to realize automatic severity assessment (non-severe or severe) of COVID-19 based on chest CT images, and to explore the severity-related features from the resulting assessment model.
no code implementations • 11 Aug 2019 • Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E. Boult, Maneesh Singh
We propose an innovative method to formulate the issue of localizing manipulated regions in an image as a deep representation learning problem using the Information Bottleneck (IB), which has recently gained popularity as a framework for interpreting deep neural networks.
no code implementations • 27 Jun 2019 • Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh
It comprises a novel approach for learning rich filters and for suppressing image-edges.