Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Curtis Wigington"'
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::609eb2a98526d744891f780745325413
https://doi.org/10.1007/978-3-031-25069-9_19
https://doi.org/10.1007/978-3-031-25069-9_19
Multi-media increases engagement and is increasingly prevalent in online content including news, web blogs, and social media, however, it may not always be beneficial to users. To determine what types of media users actually wanted, we conducted an e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa4d48190a03b9c3f90393ab4fd0e282
Autor:
Jing Qian, Qi Sun, Curtis Wigington, Han L. Han, Tong Sun, Jennifer Healey, James Tompkin, Jeff Huang
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811980428
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0016c854152f9b633fa234b592f4b77d
https://doi.org/10.1007/978-981-19-8043-5_1
https://doi.org/10.1007/978-981-19-8043-5_1
Publikováno v:
Proceedings of the Annual Hawaii International Conference on System Sciences.
Publikováno v:
ISMAR Adjunct
We present a mixed reality (MR) storytelling system designed specifically for multi-generational collaboration with child engagement as a key focus. Our "Let’s Make a Story" system comprises a two-sided experience that brings together a remote adul
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030865481
ICDAR (1)
ICDAR (1)
We address the problem of form understanding: finding text entities and the relationships/links between them in form images. The proposed FUDGE model formulates this problem on a graph of text elements (the vertices) and uses a Graph Convolutional Ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03af7e717c60c5014d6b069c2b5f2bda
https://doi.org/10.1007/978-3-030-86549-8_27
https://doi.org/10.1007/978-3-030-86549-8_27
Autor:
Varun Manjunatha, Curtis Wigington, Chris Tensmeyer, Kai Li, Nikolaos Barmpalios, Vlad I. Morariu, Yun Fu, Handong Zhao, Tong Sun
Publikováno v:
CVPR
Decomposing images of document pages into high-level semantic regions (e.g., figures, tables, paragraphs), document object detection (DOD) is fundamental for downstream tasks like intelligent document editing and understanding. DOD remains a challeng
Autor:
Varun Manjunatha, Vicente Ordonez, Vlad I. Morariu, Pramuditha Perera, Vishal M. Patel, Curtis Wigington, Rajiv Jain
Publikováno v:
CVPR
We address the problem of open-set recognition, where the goal is to determine if a given sample belongs to one of the classes used for training a model (known classes). The main challenge in open-set recognition is to disentangle open-set samples th