19 citations · 29 across the 7 of their papers we have counts for
8 papers
[Re] Network Deconvolution
Rochana R. Obadage, Kumushini Thennakoon, Sarah M. Rajtmajer +1
Our work aims to reproduce the set of findings published in "Network Deconvolution" by Ye et al. (2020)[1]. That paper proposes an optimization technique for model training in conv…
GraphRevisedIE: Multimodal Information Extraction with Graph-Revised Network
Panfeng Cao, Jian Wu
Key information extraction (KIE) from visually rich documents (VRD) has been a challenging task in document intelligence because of not only the complicated and diverse layouts of…
Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao
Yingcai Ma, Ziyang Wang, Yuliang Yan +5
In recommendation systems, the matching stage is becoming increasingly critical, serving as the upper limit for the entire recommendation process. Recently, some studies have start…
ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations
Muntabir Hasan Choudhury, Lamia Salsabil, William A. Ingram +2
Electronic theses and dissertations (ETDs) have been proposed, advocated, and generated for more than 25 years. Although ETDs are hosted by commercial or institutional digital libr…
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding
Kehinde Ajayi, Xin Wei, Martin Gryder +5
Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still…
Maximizing Equitable Reach and Accessibility of ETDs
William A. Ingram, Jian Wu, Edward A. Fox
This poster addresses accessibility issues of electronic theses and dissertations (ETDs) in digital libraries (DLs). ETDs are available primarily as PDF files, which present barrie…