Curtis Wigington

Curtis is a Research Software Developer at Adobe. He received his MS degree from Brigham Young University in 2018 and his adviser was Dr. William Barrett. His MS research focused on automatic handwriting recognition and document analysis of historical documents using deep learning methods. He is interested in the unique challenges in document analysis that join both vision and language.

AI & Machine Learning Computer Vision, Imaging & Video Document Intelligence

Publications

June 18, 2023 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

Improving Cross-Domain Detection with Self-Supervised Learning

Kai Li, Curtis Wigington, Chris Tensmeyer, Vlad Morariu, Handong Zhao, Varun Manjunatha, Nikolaos Barmpalios, Yun Fu

Computer Vision, Imaging & Video Document Intelligence

April 19, 2023 Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

StandARone: Infrared-Watermarked Documents as Portable Containers of AR Interaction and Personalization

Doga Dogan, Alexa Siu, Jennifer Healey, Curtis Wigington, Chang Xiao, Tong Sun

AR, VR & 360 Photography Computer Vision, Imaging & Video Document Intelligence

November 1, 2022 Proceedings of the first Workshop on Information Extraction from Scientific Publications

TELIN: Table Entity LINker for Extracting Leaderboards from Machine Learning Publications

Sean Yang, Chris Tensmeyer, Curtis Wigington

Document Intelligence Natural Language Processing

October 23, 2022 TiE: Text in Everything (ECCV 2022 Workshop)

End-to-end Document Recognition and Understanding with Dessurt

Brian Davis, Bryan Morse, Chris Tensmeyer, Brian Price, Curtis Wigington, Vlad Morariu

Document Intelligence

April 29, 2022 Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Dually Noted: Layout-Aware Annotations with Smartphone Augmented Reality

Jing Qian, Qi Sun, Curtis Wigington, Han L Han, Tong Sun, Jennifer Healey, James Tompkin, Jeff Huang

AR, VR & 360 Photography Computer Vision, Imaging & Video Document Intelligence

September 8, 2021 ICDAR 2021

Visual FUDGE: Form Understanding via Dynamic Graph Editing

Brian Davis, Bryan Morse, Brian Price, Chris Tensmeyer, Curtis Wigington

Document Intelligence

September 7, 2020 British Machine Vision Conference (BMVC)

Text and Style Conditioned GAN for Generation of Offline Handwriting Lines

Brian Davis, Chris Tensmeyer, Brian Price, Curtis Wigington, Bryan Morse, Rajiv Jain

AI & Machine Learning Computer Vision, Imaging & Video

June 22, 2020 Conference on Computer Vision and Pattern Recognition (CVPR)

Cross-Domain Document Object Detection: Benchmark Suite and Method

Kai Li, Curtis Wigington, Chris Tensmeyer, Handong Zhao, Nikolaos Barmpalios, Vlad Morariu, Varun Manjunatha, Tong Sun, Yun Fu

AI & Machine Learning Computer Vision, Imaging & Video Document Intelligence

November 11, 2019 International Conference on Document Analysis and Recognition (ICDAR)

Training Full-Page Handwritten Text Recognition Models without Annotated Line Breaks

Chris Tensmeyer, Curtis Wigington

Oral

AI & Machine Learning Computer Vision, Imaging & Video Document Intelligence

September 20, 2019 International Conference on Document Analysis and Recognition (ICDAR)

Multi-label Connectionist Temporal Classification

Curtis Wigington, Brian Price, Scott Cohen

Document Intelligence

September 8, 2018 European Conference on Computer Vision 2018

Start, Follow, Read: End-to-End Full-Page Handwriting Recognition

Curtis Wigington, Chris Tensmeyer, Brian Davis, Bill Barrett, Brian Price, Scott Cohen

AI & Machine Learning Computer Vision, Imaging & Video Document Intelligence

August 1, 2018 International Conference on Frontiers in Handwriting Recognition

Language Model Supervision for Handwriting Recognition Model Adaptation

Chris Tensmeyer, Curtis Wigington, Brian Davis, Seth Stewart, Tony Martinez, William Barrett

AI & Machine Learning Computer Vision, Imaging & Video Document Intelligence

November 13, 2017 International Conference on Document Analysis and Retrieval (ICDAR) 2017

Data Augmentation for Recognition of Handwritten Words and Lines using a CNN-LSTM Network

Curtis Wigington, Seth Stewart, Bill Barrett, Brian Davis, Brian Price, Scott Cohen

AI & Machine Learning Computer Vision, Imaging & Video

September 10, 2017 International Workshop on Historical Document Imaging and Processing

PageNet: Page Boundary Extraction in Historical Handwritten Documents

Chris Tensmeyer, Brian Davis, Curtis Wigington, Iain Lee, William Barrett

AI & Machine Learning Computer Vision, Imaging & Video Document Intelligence

News

Adobe Research Previews Experimental Technologies at Summit 2020

This year, Adobe shifted the annual Summit to an all-digital experience released on March 31. In the virtual Adobe Sneaks session, Steve Hammond, senior director for Experience Cloud, introduced 7 innovative demos. Two of those included sneaks were from Adobe Research. We showcased our cutting-edge

May 4, 2020