Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Huy V. Vo"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200557
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ff3f8435dcad03478abe9e93444ca3f
https://doi.org/10.1007/978-3-031-20056-4_13
https://doi.org/10.1007/978-3-031-20056-4_13
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
Computer Vision – ECCV 2020
ECCV 2020-16th European Conference on Computer Vision
ECCV 2020-16th European Conference on Computer Vision, Aug 2020, Glasgow / Virtual, United Kingdom. ⟨10.1007/978-3-030-58592-1_46⟩
ECCV (23)
Computer Vision – ECCV 2020
ECCV 2020-16th European Conference on Computer Vision
ECCV 2020-16th European Conference on Computer Vision, Aug 2020, Glasgow / Virtual, United Kingdom. ⟨10.1007/978-3-030-58592-1_46⟩
This paper addresses the problem of discovering the objects present in a collection of images without any supervision. We build on the optimization approach of Vo et al. (CVPR'19) with several key novelties: (1) We propose a novel saliency-based regi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c366f1750565557b64b694a4075c6cfb
Publikováno v:
Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2019, Long Beach, United States. pp.8279-8288, ⟨10.1109/CVPR.2019.00848⟩
CVPR
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2019, Long Beach, United States. pp.8279-8288, ⟨10.1109/CVPR.2019.00848⟩
CVPR
Learning with complete or partial supervision is powerful but relies on ever-growing human annotation efforts. As a way to mitigate this serious problem, as well as to serve specific applications, unsupervised learning has emerged as an important fie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::662bc6acea528ca9df1fbc3ef73bb0a1
https://hal.archives-ouvertes.fr/hal-02952012
https://hal.archives-ouvertes.fr/hal-02952012
Publikováno v:
Proceedings of the 26th ACM international conference on Multimedia.
Scene-agnostic visual inpainting remains very challenging despite progress in patch-based methods. Recently, Pathak et al. 2016 have introduced convolutional "context encoders" (CEs) for unsupervised feature learning through image completion tasks. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23e3a99d40661fb99a355ad79e96ceb9
https://doi.org/10.1145/3240508.3240678
https://doi.org/10.1145/3240508.3240678
Autor:
Tuan M. Nguyen, Huy V. Vo
Publikováno v:
International Journal of Information Technologies and Systems Approach. 6:35-52
The paper explores, in a semiotics approach, the natures and the relationships between the category of information and its relatives that are data and knowledge. The resultant process model makes clear both the evolutionary natures and the triadic re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3abf0d05fa0e97c25f3183c749495d93
https://doi.org/10.4018/jitsa.2013070104
https://doi.org/10.4018/jitsa.2013070104
Publikováno v:
Systems Research and Behavioral Science. 23:107-121
IS failure has been observed and documented in various articles (Barker and Frolick, 2003; Beresford et al., 1976; Bostrom and Heinen, 1977; Bussen andMichael, 1997; Heeks, 2002; Kay et al., 1999; Kaye, 1990; Keil and Robey, 2001, Mitev, 1994). Many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d14322b998d4bb188e9ae3a5e9e752a
https://doi.org/10.1002/sres.720
https://doi.org/10.1002/sres.720
Publikováno v:
International Journal of Information Technology & Decision Making. :269-292
Many societal decisions involve complexity and conflicting objectives. Preferences in such environments can be expected to change as situations evolve. In this paper, we propose a procedure that incorporates Multiple Criteria Decision Making (MCDM) i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b641b0779606efd9cf50d1b041cb6625
https://doi.org/10.1142/s0219622002000166
https://doi.org/10.1142/s0219622002000166
Autor:
Tuan M. Nguyen, Huy V. Vo
This article investigates the complex nature of information in information systems (IS). Based on the systems thinking framework, this study argues that information in IS is a system in its own right. A conceptual model of information-as-system is bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b5eb4b1cbe73349b3cbd6eeffa9e01f
https://doi.org/10.4018/978-1-60566-976-2.ch007
https://doi.org/10.4018/978-1-60566-976-2.ch007
Recently, capturing and evaluating group causal maps has come to attention of IS researchers (Tegarden and Sheetz, 2003; Lee, Courtney & O’Keefe, 1992; Vennix, 1996; Kwahk and Kim, 1999). This chapter summarizes two studies that formally compare th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62dde68ac316b2f6786eb82b3e0f425a
https://doi.org/10.4018/978-1-59140-396-8.ch006
https://doi.org/10.4018/978-1-59140-396-8.ch006
Autor:
Siméoni, Oriane, Puy, Gilles, Vo, Huy, Roburin, Simon, Gidaris, Spyros, Bursuc, Andrei, Pérez, Patrick, Marlet, Renaud, Ponce, Jean
Publikováno v:
British Machine Vision Conference (BMVC)
British Machine Vision Conference (BMVC), Nov 2021, Virtual, United Kingdom
BMVC 2021-32nd British Machine Vision Conference
BMVC 2021-32nd British Machine Vision Conference, Nov 2021, Virtual, United Kingdom
British Machine Vision Conference (BMVC), Nov 2021, Virtual, United Kingdom
BMVC 2021-32nd British Machine Vision Conference
BMVC 2021-32nd British Machine Vision Conference, Nov 2021, Virtual, United Kingdom
International audience; Localizing objects in image collections without supervision can help to avoid expensive annotation campaigns. We propose a simple approach to this problem, that leverages the activation features of a vision transformer pre-tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6808005cc7845bdbb2c5709b23c0aa35
https://hal.archives-ouvertes.fr/hal-03477959
https://hal.archives-ouvertes.fr/hal-03477959