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Jackson Reese
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Cited by
Year
Intelligent paint: Region-based interactive image segmentation
LJ Reese
Brigham Young University. Department of Computer Science, 1999
521999
Image Editing with Intelligent Paint.
LJ Reese, WA Barrett
Eurographics (Short Presentations), 2002
502002
ICDAR 2015 competition on text line detection in historical documents
M Murdock, S Reid, B Hamilton, J Reese
2015 13th international conference on document analysis and recognition …, 2015
392015
Intelligent selection tools
EN Mortensen, LJ Reese, WA Barrett
Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR …, 2000
312000
Ventral-dorsal neural networks: object detection via selective attention
MK Ebrahimpour, J Li, YY Yu, J Reesee, A Moghtaderi, MH Yang, ...
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 986-994, 2019
242019
Intelligent segmentation tools
WA Barrett, LJ Reese, EN Mortensen
Proceedings IEEE International Symposium on Biomedical Imaging, 217-220, 2002
152002
ICFHR2016 Competition on Local Attribute Detection for Handwriting Recognition
M Murdock, J Reese, S Reid
2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016
32016
ICFHR2014 competition on word recognition from historical documents: Anncestry word recognition from segmented historical documents (ANWRESH)
J Reese, M Murdock, S Reid, B Hamilton
2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014
22014
Ventral-dorsal neural networks: object detection via selective attention
AM Mohammad K. Ebrahimpour, Jack Reese, Yen-Yun Yu, Jiayun Li
EP Patent EP3853777A1, 2021
2021
Ventral-dorsal neural networks: object detection via selective attention
AM Mohammad K. Ebrahimpour, Jack Reese, Yen-Yun Yu, Jiayun Li
US Patent US20210174083A1, 2021
2021
Ventral-dorsal neural networks: object detection via selective attention
AM Mohammad K. Ebrahimpour, Jack Reese, Yen-Yun Yu, Jiayun Li
BR Patent BR112021005214A2, 2021
2021
Ventral-dorsal neural networks: object detection via selective attention
AM Mohammad K. Ebrahimpour, Jack Reese, Yen-Yun Yu, Jiayun Li
IL Patent IL281530D0, 2021
2021
Clustering historical images using a convolutional neural net and labeled data bootstrapping
L Brown, M Murdock, J Reese, S Reid
US Patent US20210150262A1, 2021
2021
Ventral-dorsal neural networks: object detection via selective attention
莫格塔德里穆罕默德·K·易卜拉欣保尔余彦云李家云杰克·里斯阿扎德·
CN Patent CN112,805,717 A, 2021
2021
Ventral-dorsal neural networks: object detection via selective attention
AM Mohammad K. Ebrahimpour, Jack Reese, Yen-Yun Yu, Jiayun Li
AU Patent AU2019345266A1, 2021
2021
Genealogy Item Ranking and Recommendation
AM Peng Jiang, Tyler Folkman, Tsung-Nan Liu, Jack Reese, Yen-Yun Yu, Ruhan Wang
EP Patent EP3791327A1, 2021
2021
Ventral-dorsal neural networks: object detection via selective attention
AM Mohammad K. Ebrahimpour, Jack Reese, Yen-Yun Yu, Jiayun Li
US Patent US10949666B2, 2021
2021
Ventral-dorsal neural networks: object detection via selective attention
AM Mohammad K. Ebrahimpour, Jack Reese, Yen-Yun Yu, Jiayun Li
NZ Patent NZ773,328 A, 2021
2021
Genealogy Item Ranking and Recommendation
AM Peng Jiang, Tyler Folkman, Tsung-Nan Liu, Jack Reese, Yen-Yun Yu, Ruhan Wang
NZ Patent App. NZ76,847,019 A, 2020
2020
Genealogy Item Ranking and Recommendation
AM Peng Jiang, Tyler Folkman, Tsung-Nan Liu, Jack Reese, Yen-Yun Yu, Ruhan Wang
AU Patent App. AU2,019,265,655 A, 2020
2020
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