Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Cees G. M. Snoek"'
Autor:
Evelien M. Hoeben, Dennis C. Koelma, Lasse Suonperä Liebst, Kiki Bijleveld, Marie Rosenkrantz Lindegaard, Cees G. M. Snoek, Joska Appelman, Peter Ejbye-Ernst
Publikováno v:
Justitiële Verkenningen, 47(3), 54-71
Appelman, J, Bijleveld, K, Ejbye-Ernst, P, Hoeben, E, Liebst, L S, Snoek, C, Koelman, D & Lindegaard, M R 2021, ' Naleving van gedragsmaatregelen tijdens de COVID-19-pandemie ', Justitiele Verkenningen, bind 47, nr. 3, s. 54-66 . https://doi.org/10.5553/JV/016758502021047003004
Appelman, J, Bijleveld, K, Ejbye-Ernst, P, Hoeben, E, Liebst, L S, Snoek, C, Koelman, D & Lindegaard, M R 2021, ' Naleving van gedragsmaatregelen tijdens de COVID-19-pandemie ', Justitiele Verkenningen, bind 47, nr. 3, s. 54-66 . https://doi.org/10.5553/JV/016758502021047003004
To mitigate the spread of the COVID-19 virus, the Dutch government has implemented several rules and regulations during the pandemic. Compliance with these rules and regulations is crucial for its effectiveness. In the current article, the authors gi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04635a539f978b786e8277b3d72638c6
https://doi.org/10.5553/jv/016758502021047003004
https://doi.org/10.5553/jv/016758502021047003004
Publikováno v:
International Journal of Computer Vision, 130(4). Springer Netherlands
The deep image prior showed that a randomly initialized network with a suitable architecture can be trained to solve inverse imaging problems by simply optimizing it's parameters to reconstruct a single degraded image. However, it suffers from two pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4f246c050edd645e26f11079b6b0668
https://github.com/shizenglin/Measure-and-Control-Spectral-Bias
https://github.com/shizenglin/Measure-and-Control-Spectral-Bias
Publikováno v:
IEEE Transactions on Multimedia. 22:1661-1666
The papers in this special section is to broadly engage the machine learning and multimedia communities on the emerging yet challenging interpretable machine learning. Multimedia is increasingly becoming the “biggest big data,” among the most imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f79fde181a48f1843f30a1d05fb995e
https://doi.org/10.1109/tmm.2020.2991292
https://doi.org/10.1109/tmm.2020.2991292
Publikováno v:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : virtual, 14-19 June 2020, 10495-10504
STARTPAGE=10495;ENDPAGE=10504;TITLE=2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition
CVPR
STARTPAGE=10495;ENDPAGE=10504;TITLE=2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition
CVPR
For many of the physical phenomena around us, we have developed sophisticated models explaining their behavior. Nevertheless, measuring physical properties from visual observations is challenging due to the high number of causally underlying physical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3a3f0a107f43f6d662e7bad0bbe7805
https://hdl.handle.net/11245.1/bab1d156-f8d9-40fc-bb6f-0d45489b34c9
https://hdl.handle.net/11245.1/bab1d156-f8d9-40fc-bb6f-0d45489b34c9
Autor:
Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe7c78fc31cadfbcfc16cb3f239e61ec
https://doi.org/10.1007/978-3-031-16434-7_31
https://doi.org/10.1007/978-3-031-16434-7_31
Autor:
Wim Bernasco, Evelien M. Hoeben, Dennis Koelma, Lasse Suonperä Liebst, Josephine Thomas, Joska Appelman, Cees G. M. Snoek, Marie Rosenkrantz Lindegaard
Publikováno v:
Bernasco, W, Hoeben, E, Koelman, D, Liebst, L S, Thomas, J, Appelman, J, Snoek, C & Lindegaard, M R 2023, ' Promise Into Practice : Application of Computer Vision in Empirical Research on Social Distancing ', Sociological Methods & Research . https://doi.org/10.1177/00491241221099554
Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e88bd2b2555a362388c3cf9cdbc781e
https://doi.org/10.31219/osf.io/ex9fy
https://doi.org/10.31219/osf.io/ex9fy
Autor:
Cees G. M. Snoek, Fida Mohammad Thoker
Publikováno v:
ICPR
Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021, 3751-3758
STARTPAGE=3751;ENDPAGE=3758;TITLE=Proceedings of ICPR 2020
Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021, 3751-3758
STARTPAGE=3751;ENDPAGE=3758;TITLE=Proceedings of ICPR 2020
This paper strives for action recognition and detection in video modalities like RGB, depth maps or 3D-skeleton sequences when only limited modality-specific labeled examples are available. For the RGB, and derived optical-flow, modality many large-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae3a7d8a4f81ae1130ee55ebae9e79ea
http://arxiv.org/abs/2108.03329
http://arxiv.org/abs/2108.03329
Publikováno v:
IEEE Transactions on Multimedia, 21(2), 402-415. Institute of Electrical and Electronics Engineers Inc.
Over the past decade, emoji have emerged as a new and widespread form of digital communication, spanning diverse social networks and spoken languages. We propose treating these ideograms as a new modality in their own right, distinct in their semanti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bee08fc84bce78a7efe257cd63c5fd2
https://dare.uva.nl/personal/pure/en/publications/new-modality-emoji-challenges-in-prediction-anticipation-and-retrieval(338d3eea-8944-4968-b128-d6dfcae59c08).html
https://dare.uva.nl/personal/pure/en/publications/new-modality-emoji-challenges-in-prediction-anticipation-and-retrieval(338d3eea-8944-4968-b128-d6dfcae59c08).html
Autor:
Cees G. M. Snoek, Jiaojiao Zhao
Publikováno v:
CVPR
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California, 9927-9936
STARTPAGE=9927;ENDPAGE=9936;TITLE=2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California, 9927-9936
STARTPAGE=9927;ENDPAGE=9936;TITLE=2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition
The goal of this paper is to detect the spatio-temporal extent of an action. The two-stream detection network based on RGB and flow provides state-of-the-art accuracy at the expense of a large model-size and heavy computation. We propose to embed RGB
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75200242656ae4b89bab8303f9248c2e
https://hdl.handle.net/11245.1/9562d61f-125c-44a4-a243-f214f0acb671
https://hdl.handle.net/11245.1/9562d61f-125c-44a4-a243-f214f0acb671
Publikováno v:
IEEE Transactions on Multimedia, 20(12), 3377-3388. Institute of Electrical and Electronics Engineers Inc.
This paper strives to find amidst a set of sentences the one best describing the content of a given image or video. Different from existing works, which rely on a joint subspace for their image and video caption retrieval, we propose to do so in a vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe8577cf717fc6b4b2ac71688773009c
https://ivi.fnwi.uva.nl/isis/publications/2018/DongTMM2018
https://ivi.fnwi.uva.nl/isis/publications/2018/DongTMM2018