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pro vyhledávání: '"Alldrin, Neil"'
Autor:
Toubal, Imad Eddine, Avinash, Aditya, Alldrin, Neil Gordon, Dlabal, Jan, Zhou, Wenlei, Luo, Enming, Stretcu, Otilia, Xiong, Hao, Lu, Chun-Ta, Zhou, Howard, Krishna, Ranjay, Fuxman, Ariel, Duerig, Tom
From content moderation to wildlife conservation, the number of applications that require models to recognize nuanced or subjective visual concepts is growing. Traditionally, developing classifiers for such concepts requires substantial manual effort
Externí odkaz:
http://arxiv.org/abs/2403.02626
Autor:
Stretcu, Otilia, Vendrow, Edward, Hata, Kenji, Viswanathan, Krishnamurthy, Ferrari, Vittorio, Tavakkol, Sasan, Zhou, Wenlei, Avinash, Aditya, Luo, Enming, Alldrin, Neil Gordon, Bateni, MohammadHossein, Berger, Gabriel, Bunner, Andrew, Lu, Chun-Ta, Rey, Javier A, DeSalvo, Giulia, Krishna, Ranjay, Fuxman, Ariel
The application of computer vision to nuanced subjective use cases is growing. While crowdsourcing has served the vision community well for most objective tasks (such as labeling a "zebra"), it now falters on tasks where there is substantial subjecti
Externí odkaz:
http://arxiv.org/abs/2302.12948
Autor:
Alldrin, Neil Gordon.
Publikováno v:
Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses
Thesis (Ph. D.)--University of California, San Diego, 2008.
Title from first page of PDF file (viewed September 24, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 136-145).
Title from first page of PDF file (viewed September 24, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 136-145).
Externí odkaz:
http://wwwlib.umi.com/cr/ucsd/fullcit?p3320621
Autor:
Kuznetsova, Alina, Rom, Hassan, Alldrin, Neil, Uijlings, Jasper, Krasin, Ivan, Pont-Tuset, Jordi, Kamali, Shahab, Popov, Stefan, Malloci, Matteo, Kolesnikov, Alexander, Duerig, Tom, Ferrari, Vittorio
We present Open Images V4, a dataset of 9.2M images with unified annotations for image classification, object detection and visual relationship detection. The images have a Creative Commons Attribution license that allows to share and adapt the mater
Externí odkaz:
http://arxiv.org/abs/1811.00982
We present an approach to effectively use millions of images with noisy annotations in conjunction with a small subset of cleanly-annotated images to learn powerful image representations. One common approach to combine clean and noisy data is to firs
Externí odkaz:
http://arxiv.org/abs/1701.01619
Akademický článek
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Autor:
Alldrin, Neil Gordon
Publikováno v:
Alldrin, Neil Gordon. (2008). Models and methods for recovering shape, reflectance, and illumination from images. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/8c06k0w0
Recovery of scene shape, reflectance, and illumination are of fundamental importance to computer vision. However, the image formation process involves complex interactions between all three components, making inference difficult or impossible in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::23940fd41d182e799cd77ce7de79a63c
http://n2t.net/ark:/20775/bb3618748p
http://n2t.net/ark:/20775/bb3618748p