Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Francisco Massa"'
Publikováno v:
RAC: Revista de Administração Contemporânea, Vol 28, Iss 4, Pp e240128-e240128 (2024)
Objective: this study aims to answer the following research question: How does IT-business strategic alignment (ITBSA) influence the sustaining or transformation of a pre-digital business? This objective was defined due to the critical importance of
Externí odkaz:
https://doaj.org/article/67e615d0b172483883237aabfe5a38d5
A natural question arising in Music Source Separation (MSS) is whether long range contextual information is useful, or whether local acoustic features are sufficient. In other fields, attention based Transformers have shown their ability to integrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9804d23a1ce0d8262815bf886c6bf2ba
Autor:
Nicolas Usunier, Gabriel Synnaeve, Alexander Kirillov, Francisco Massa, Nicolas Carion, Sergey Zagoruyko
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030584511
ECCV (1)
ECCV (1)
We present a new method that views object detection as a direct set prediction problem. Our approach streamlines the detection pipeline, effectively removing the need for many hand-designed components like a non-maximum suppression procedure or ancho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::375742640347069c0f51433bd286f3aa
https://doi.org/10.1007/978-3-030-58452-8_13
https://doi.org/10.1007/978-3-030-58452-8_13
Autor:
Mark Charlebois, Dave Fick, Sachin Satish Idgunji, Yuchen Zhou, Michael Thomson, Ashish Sirasao, George Yuan, Anton Lokhmotov, Koichi Yamada, Tom St. John, Bing Yu, Jeff Jiao, Arun Tejusve Raghunath Rajan, Paulius Micikevicius, Ephrem C. Wu, Francisco Massa, Carole-Jean Wu, Hanlin Tang, David Lee, William Chou, Frank Wei, Jared Duke, Cody Coleman, Sam Davis, Jeffery Liao, Itay Hubara, Dilip Sequeira, Lingjie Xu, Pan Deng, Vijay Janapa Reddi, Guenther Schmuelling, Gennady Pekhimenko, Maximilien Breughe, Peng Meng, Greg Diamos, David Kanter, Colin Osborne, Thomas B. Jablin, Peizhao Zhang, Fei Sun, Pankaj Kanwar, Ramesh Chukka, J. Scott Gardner, Aaron Zhong, Christine Cheng, Peter Mattson, Brian M. Anderson
Publikováno v:
ISCA
Machine-learning (ML) hardware and software system demand is burgeoning. Driven by ML applications, the number of different ML inference systems has exploded. Over 100 organizations are building ML inference chips, and the systems that incorporate ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a2417894de20d08d29ba667a4080f9a
Publikováno v:
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2016, Las Vegas, United States. ⟨10.1109/CVPR.2016.648⟩
CVPR
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2016, Las Vegas, United States. ⟨10.1109/CVPR.2016.648⟩
CVPR
This paper presents an end-to-end convolutional neural network (CNN) for 2D-3D exemplar detection. We demonstrate that the ability to adapt the features of natural images to better align with those of CAD rendered views is critical to the success of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad7f0604d5d0a2a401807ead6929a888
https://hal.archives-ouvertes.fr/hal-01800639/document
https://hal.archives-ouvertes.fr/hal-01800639/document
Publikováno v:
BMVC
British Machine Vision Conference (BMVC 2016)
British Machine Vision Conference (BMVC 2016), Sep 2016, York, United Kingdom. ⟨10.5244/C.30.91⟩
British Machine Vision Conference (BMVC 2016)
British Machine Vision Conference (BMVC 2016), Sep 2016, York, United Kingdom. ⟨10.5244/C.30.91⟩
Convolutional Neural Networks (CNNs) were recently shown to provide state-of-the-art results for object category viewpoint estimation. However different ways of formulating this problem have been proposed and the competing approaches have been explor