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pro vyhledávání: '"Tensmeyer, Christopher"'
Autor:
Jiang, Yue, Lutteroth, Christof, Jain, Rajiv, Tensmeyer, Christopher, Manjunatha, Varun, Stuerzlinger, Wolfgang, Morariu, Vlad
Designing adaptive documents that are visually appealing across various devices and for diverse viewers is a challenging task. This is due to the wide variety of devices and different viewer requirements and preferences. Alterations to a document's c
Externí odkaz:
http://arxiv.org/abs/2410.15504
Visual text evokes an image in a person's mind, while non-visual text fails to do so. A method to automatically detect visualness in text will enable text-to-image retrieval and generation models to augment text with relevant images. This is particul
Externí odkaz:
http://arxiv.org/abs/2305.10434
Autor:
Nam, Sungjin, Bylinskii, Zoya, Tensmeyer, Christopher, Wigington, Curtis, Jain, Rajiv, Sun, Tong
A student reads a textbook to learn a new topic; an attorney leafs through familiar legal documents. Each reader may have a different goal for, and prior knowledge of, their reading. A mobile context, which captures interaction behavior, can provide
Externí odkaz:
http://arxiv.org/abs/2004.12016
Autor:
Tensmeyer, Christopher Alan
Publikováno v:
Theses and Dissertations.
Automatic machine understanding of documents from image inputs enables many applications in modern document workflows, digital archives of historical documents, and general machine intelligence, among others. Together, the techniques for understandin
Externí odkaz:
https://scholarsarchive.byu.edu/etd/7389
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8389&context=etd
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8389&context=etd
Autor:
Tensmeyer, Christopher Alan
Publikováno v:
All Theses and Dissertations.
Identifying the type of a scanned form greatly facilitates processing, including automated field segmentation and field recognition. Contrary to the majority of existing techniques, we focus on unsupervised type identification, where the set of form
Externí odkaz:
https://scholarsarchive.byu.edu/etd/6055
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7054&context=etd
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7054&context=etd
Type: dataset; Writer identification and Script classification are usually considered as two separated and very different tasks, as well in palaeography as in computer science. Following the ICDAR competition on the CLAMM corpus about script classifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::30c1387d5e73e772b555464804234e35
https://hal.archives-ouvertes.fr/hal-03355870
https://hal.archives-ouvertes.fr/hal-03355870