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description Publicationkeyboard_double_arrow_right Conference object , Article 2022 FrancePublisher:IOP Publishing Funded by:EC | DarkSphere, EC | neutronSPHEREEC| DarkSphere ,EC| neutronSPHEREGiomataris, I.; Green, S.; Katsioulas, I.; Knights, P.; Manthos, I.; Matthews, J.; Neep, T.; Nikolopoulos, K.; Papaevangelou, T.; Phoenix, B.; Sanders, J.; Ward, R.;Precise in-situ measurements of the neutron flux in underground laboratories is crucial for direct dark matter searches, as neutron induced backgrounds can mimic the typical dark matter signal. The development of a novel neutron spectroscopy technique using Spherical Proportional Counters is investigated. The detector is operated with nitrogen and is sensitive to both fast and thermal neutrons through the $^{14}$N(n, $\alpha$)$^{11}$B and $^{14}$N(n, p)$^{14}$C reactions. This method holds potential to be a safe, inexpensive, effective, and reliable alternative to $^3$He-based detectors. Measurements of fast and thermal neutrons from an Am-Be source with a Spherical Proportional Counter operated at pressures up to 2 bar at Birmingham are discussed. Comment: 4 pages, 5 figures, International Conference on Technology and Instrumentation in Particle Physics (TIPP2021)
Journal of Physics :... arrow_drop_down Journal of Physics : Conference SeriesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2021https://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/2374/1/012144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Journal of Physics :... arrow_drop_down Journal of Physics : Conference SeriesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2021https://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/2374/1/012144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Contribution for newspaper or weekly magazine , Article , Conference object 2022 France, United Kingdom, DenmarkPublisher:IOP Publishing Funded by:EC | EuroPLEx, UKRI | Fields, Strings and Latti...EC| EuroPLEx ,UKRI| Fields, Strings and Lattices: From the Inflationary Universe to High-Energy CollidersLucini, Biagio; Francesconi, Olmo; Holzmann, Markus; Lancaster, David; Rago, Antonio;The Logarithmic Linear Relaxation (LLR) algorithm is an efficient method for computing densities of states for systems with a continuous spectrum. A key feature of this method is exponential error reduction, which allows us to evaluate the density of states of a system over hundreds of thousands of orders of magnitude with a fixed level of relative accuracy. As a consequence of exponential error reduction, the LLR method provides a robust alternative to traditional Monte Carlo calculations in cases in which states suppressed by the Boltzmann weight play nevertheless a relevant role, e.g., as transition regions between dominant configuration sets. After reviewing the algorithm, we will show an application in U(1) Lattice Gauge Theory that has enabled us to obtain the most accurate estimate of the critical coupling with modest computational resources, defeating exponential tunneling times between metastable vacua. As a further showcase, we will then present an application of the LLR method to the decorrelation of the topological charge in SU(3) Lattice Gauge Theory near the continuum limit. Finally, we will review in general applications of the LLR algorithm to systems affected by a strong sign problem and discuss the case of the Bose gas at finite chemical potential. Comment: 6 pages, 3 figures. Talk presented by B. Lucini at the XXXII IUPAP Conference on Computational Physics 21, Coventry, UK, 1-5 August 2021
Journal of Physics :... arrow_drop_down University of Southern Denmark Research OutputContribution for newspaper or weekly magazine . 2022Data sources: University of Southern Denmark Research OutputJournal of Physics : Conference SeriesArticle . 2022Data sources: University of Southern Denmark Research OutputarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveMémoires en Sciences de l'Information et de la CommunicationConference object . 2021https://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/2207/1/012052&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Journal of Physics :... arrow_drop_down University of Southern Denmark Research OutputContribution for newspaper or weekly magazine . 2022Data sources: University of Southern Denmark Research OutputJournal of Physics : Conference SeriesArticle . 2022Data sources: University of Southern Denmark Research OutputarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveMémoires en Sciences de l'Information et de la CommunicationConference object . 2021https://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/2207/1/012052&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article , Other literature type 2021 United Kingdom, FrancePublisher:IEEE Funded by:UKRI | Visual AI: An Open World ..., UKRI | Seebibyte: Visual Search ...UKRI| Visual AI: An Open World Interpretable Visual Transformer ,UKRI| Seebibyte: Visual Search for the Era of Big DataAuthors: Brown, A; Kalogeiton, V; Zisserman, A;Brown, A; Kalogeiton, V; Zisserman, A;International audience; The objective of this work is person-clustering in videos-grouping characters according to their identity. Previous methods focus on the narrower task of face-clustering, and for the most part ignore other cues such as the person's voice, their overall appearance (hair, clothes, posture), and the editing structure of the videos. Similarly, most current datasets evaluate only the task of face-clustering, rather than person-clustering. This limits their applicability to downstream applications such as story understanding which require person-level, rather than only face-level, reasoning. In this paper we make contributions to address both these deficiencies: first, we introduce a Multi-Modal High-Precision Clustering algorithm for person-clustering in videos using cues from several modalities (face, body, and voice). Second, we introduce a Video Person-Clustering dataset, for evaluating multi-modal person-clustering. It contains body-tracks for each annotated character, facetracks when visible, and voice-tracks when speaking, with their associated features. The dataset is by far the largest of its kind, and covers films and TV-shows representing a wide range of demographics. Finally, we show the e ectiveness of using multiple modalities for person-clustering, explore the use of this new broad task for story understanding through character co-occurrences, and achieve a new state of the art on all available datasets for face and person-clustering.
Oxford University Re... arrow_drop_down Oxford University Research ArchiveConference object . 2022Data sources: Oxford University Research ArchivearXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/iccvw5...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccvw54120.2021.00357&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!visibility 1visibility views 1 download downloads 4 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research ArchiveConference object . 2022Data sources: Oxford University Research ArchivearXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/iccvw5...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccvw54120.2021.00357&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Conference object 2021 Italy, France, FrancePublisher:Copernicus GmbH Nawaf, Mohamad Motasem; Drap, P.; Ben-Ellefi, M.; Nocerino, E.; Chemisky, B.; Chassaing, T.; Colpani, A.; Noumossie, V.; Hyttinen, K.; Wood, J.; Gambin, T.; Sourisseau, J.;handle: 11388/277311
Abstract. Cultural Heritage (CH) resources are partial, heterogeneous, discontinuous, and subject to ongoing updates and revisions. The use of semantic web technologies associated with 3D graphical tools is proposed to improve access, exploration, exploitation and enrichment of these CH data in a standardized and more structured form. This article presents the monitoring work developed for more than ten years on the excavation of the Xlendi site. Around an exceptional shipwreck, the oldest from the Archaic period in the Western Mediterranean, we have set up a unique excavation at a depth of 110m assisted by a rigorous and continuous photogrammetry campaign. All the collected results are modelled by an ontology and visualized with virtual and augmented reality tools that allow a bidirectional link between the proposed graphical representations and the non-graphical archaeological data. It is also important to highlight the development of an innovative 3D mobile app that lets users study and understand the site as well as experience sensations close to those of a diver visiting the site.
DOAJ arrow_drop_down ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticleLicense: CC BYData sources: UnpayWallISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-annals-viii-m-1-2021-117-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert DOAJ arrow_drop_down ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticleLicense: CC BYData sources: UnpayWallISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-annals-viii-m-1-2021-117-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2021 FrancePublisher:Elsevier BV Authors: Robert Francis; Alexa Dufraisse;Robert Francis; Alexa Dufraisse;Abstract The study of charcoal from archaeological sites often focuses on merely the identification of taxa. However, the anthraco-typological analysis of oak charcoal offers extensive evidence about the wood diameter, growth pattern, and minimum age of the trees selected for harvest. This in turn gives valuable data on palaeoecology and woodland management. This review focuses on early stage results from oak charcoal remains from three early medieval rural sites in eastern England, dating from the 5th to the 9th century AD. Over 200 fragments of oak charcoal were selected and examined to identify the size class of the wood, the growth patterns and whether the wood was sapwood or heartwood. This has then given evidence of timber and fuel wood collection strategies and woodland management regimes. The data has provided additional evidence on the nature of the sites’ features. Furthermore, the analysis has allowed comparisons to be drawn between the three contemporary sites, as well as to expand the archaeobotanical record to a more detailed understanding of the environment around these settlements. Exceptional material from the early medieval site of Flixborough has allowed a unique insight into the selection of timber and possible long-term woodland management strategies undertaken in the area during the mid 8th to 9th century AD. The results will be discussed regarding the economic and environmental context, demonstrating the value of dendro-anthracological tools in adding additional detail and a new understanding of these sites.
Quaternary Internati... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationArticle . 2020Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotConference object . 2019Mémoires en Sciences de l'Information et de la CommunicationConference object . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.quaint.2020.10.070&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Quaternary Internati... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationArticle . 2020Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotConference object . 2019Mémoires en Sciences de l'Information et de la CommunicationConference object . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.quaint.2020.10.070&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2021 FrancePublisher:IEEE Funded by:UKRI | First ResponderUKRI| First ResponderAuthors: Kocabiyikoglu, Ali Can; Babouchkine, Jean-Marc; Qader, Raheel; Portet, François;Kocabiyikoglu, Ali Can; Babouchkine, Jean-Marc; Qader, Raheel; Portet, François;Drug prescriptions are essential information that must be encoded in electronic medical records. However, much of this information is hidden within free-text reports. This is why the medication extraction task has emerged. To date, most of the research effort has focused on small amount of data and has only recently considered deep learning methods. In this paper, we present an independent and comprehensive evaluation of state-of-the-art neural architectures on the I2B2 medical prescription extraction task both in the supervised and semi-supervised settings. The study shows the very competitive performance of simple DNN models on the task as well as the high interest of pre-trained models. Adapting the latter models on the I2B2 dataset enables to push medication extraction performances above the state-of-the-art. Finally, the study also confirms that semi-supervised techniques are promising to leverage large amounts of unlabeled data in particular in low resource setting when labeled data is too costly to acquire. Comment: IEEE International Conference on Healthcare Informatics (ICHI 2021)
Hal-Diderot arrow_drop_down Hal-DiderotConference object . 2021arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/ichi52...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; Hal-DiderotConference object . 2021Mémoires en Sciences de l'Information et de la CommunicationConference object . 2021Full-Text: https://hal.science/hal-03252576v2/documenthttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/ichi52183.2021.00032&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Hal-Diderot arrow_drop_down Hal-DiderotConference object . 2021arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/ichi52...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; Hal-DiderotConference object . 2021Mémoires en Sciences de l'Information et de la CommunicationConference object . 2021Full-Text: https://hal.science/hal-03252576v2/documenthttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/ichi52183.2021.00032&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2021 United Kingdom, FrancePublisher:IEEE Varol, G; Momeni, L; Albanie, S; Afouras, T; Zisserman, A;The objective of this work is to annotate sign instances across a broad vocabulary in continuous sign language. We train a Transformer model to ingest a continuous signing stream and output a sequence of written tokens on a large-scale collection of signing footage with weakly-aligned subtitles. We show that through this training it acquires the ability to attend to a large vocabulary of sign instances in the input sequence, enabling their localisation. Our contributions are as follows: (1) we demonstrate the ability to leverage large quantities of continuous signing videos with weakly-aligned subtitles to localise signs in continuous sign language; (2) we employ the learned attention to automatically generate hundreds of thousands of annotations for a large sign vocabulary; (3) we collect a set of 37K manually verified sign instances across a vocabulary of 950 sign classes to support our study of sign language recognition; (4) by training on the newly annotated data from our method, we outperform the prior state of the art on the BSL-1K sign language recognition benchmark. Comment: Appears in: 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021). 14 pages
http://arxiv.org/pdf... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveOxford University Research ArchiveConference object . 2021Data sources: Oxford University Research Archivehttps://doi.org/10.1109/cvpr46...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: DataciteMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/cvpr46437.2021.01658&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 3visibility views 3 download downloads 1 Powered bymore_vert http://arxiv.org/pdf... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveOxford University Research ArchiveConference object . 2021Data sources: Oxford University Research Archivehttps://doi.org/10.1109/cvpr46...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: DataciteMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/cvpr46437.2021.01658&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2021 France, United States, ItalyPublisher:IOP Publishing Tomotada Akutsu; Masaki Ando; Koji Arai; Yoshio Arai; Sakae Araki; Akito Araya; Naoki Aritomi; Y. Aso; S. Bae; Y. Bae; Luca Baiotti; R. Bajpai; M. A. Barton; Kipp Cannon; E. Capocasa; M. Chan; C. Chen; K. Chen; Yi Chen; H. Chu; Y. K. Chu; S. Eguchi; Yutaro Enomoto; R. Flaminio; Yuka Fujii; M. Fukunaga; Mitsuhiro Fukushima; G. Ge; A. Hagiwara; Sadakazu Haino; K. Hasegawa; Hideaki Hayakawa; Kazuhiro Hayama; Yoshiaki Himemoto; Y. Hiranuma; N. Hirata; Eiichi Hirose; Z. Hong; B. H. Hsieh; G-Z. Huang; P. W. Huang; Y. Huang; B. Ikenoue; S. Imam; Kohei Inayoshi; Yuki Inoue; Kunihito Ioka; Yousuke Itoh; K. Izumi; K. Jung; P. Jung; T. Kajita; M. Kamiizumi; Nobuyuki Kanda; G. Kang; Kyohei Kawaguchi; N. Kawai; T. Kawasaki; Chunglee Kim; Jinsook Kim; W. S. Kim; Y. M. Kim; Nobutada Kimura; N. Kita; Haruki Kitazawa; Yasufumi Kojima; Keiko Kokeyama; Kentaro Komori; Albert K. H. Kong; Kei Kotake; Chihiro Kozakai; R. Kozu; Rajesh Kumar; J. Kume; C. M. Kuo; H-S. Kuo; Sachiko Kuroyanagi; K. Kusayanagi; Kyujin Kwak; Hyun Lee; H. W. Lee; Ray-Kuang Lee; M. Leonardi; C-Y. Lin; F-L. Lin; L. C.-C. Lin; Guo-Chin Liu; L. W. Luo; M. Marchio; Yuta Michimura; Norikatsu Mio; Osamu Miyakawa; A. Miyamoto; Y. Miyazaki; K. Miyo; Shinji Miyoki; Soichiro Morisaki; Y. Moriwaki; Koji Nagano; Shigeo Nagano; Kouji Nakamura; Hiroyuki Nakano; M. Nakano; R. Nakashima; T. Narikawa; R. Negishi; Wei-Tou Ni; Atsushi Nishizawa; Yoshiyuki Obuchi; W. Ogaki; John J. Oh; Seog Oh; Masatake Ohashi; Naoko Ohishi; Masashi Ohkawa; Koki Okutomi; K. Oohara; C. P. Ooi; S. Oshino; Kuo-Chuan Pan; H. Pang; Jong-Dae Park; F. E. Peiia Arellano; I. M. Pinto; Norichika Sago; Shuji Saito; Yoshihiko Saito; K. Sakai; Y. Sakai; Y. Sakuno; S. Sato; Takashi Sato; T. Sawada; T. Sekiguchi; Yuichiro Sekiguchi; S. Shibagaki; T. Shimoda; K. Shimode; Hisa-aki Shinkai; T. Shishido; A. Shoda; Kentaro Somiya; Edwin J. Son; Hajime Sotani; R. Sugimoto; Toshio Suzuki; Hideyuki Tagoshi; Hirotaka Takahashi; Ryutaro Takahashi; Akiteru Takamori; S. Takano; Hiroyuki Takeda; M. Takeda; H. K. Tanaka; Kazuyuki Tanaka; Takahiro Tanaka; S. Tanioka; E. N. Tapia San Martin; Souichi Telada; Takayuki Tomaru; Y. Tomigami; T. Tomura; F. Travasso; L. Trozzo; T. Tsang; Kimio Tsubono; Satoshi Tsuchida; Toshihiro Tsuzuki; D. Tuyenbayev; N. Uchikata; Takashi Uchiyama; A. Ueda; T. Uehara; Koh Ueno; G. Ueshima; Fumihiro Uraguchi; T. Ushiba; M. H. P. M. van Putten; H. Vocca; J. Z. Wang; C. M. Wu; H. C. Wu; S. Wu; W-R. Xu; Tatsuhiro Yamada; K. Yamamoto; T. Yamamoto; K. Yokogawa; Jun'ichi Yokoyama; T. Yokozawa; T. Yoshioka; H. Yuzurihara; Simon Zeidler; Yuhang Zhao; Zong-Hong Zhu;handle: 11572/371973
Abstract Radiative cooling of the thermally isolated system is investigated in KAGRA gravitational wave telescope. KAGRA is a laser interferometer-based detector and main mirrors constituting optical cavities are cool down to 20K to reduce noises caused by the thermal fluctuation. The mirror is suspended with the multi-stage pendulum to isolate any vibration. Therefore, this mirror suspension system has few heat links to reduce vibration injection. Thus, this system is mainly cooled down with thermal radiation. In order to understand the process of radiative cooling of the mirror, we analyzed cooling curve based on mass and specific heat. As a result, it was newly found that a cryogenic part called ”cryogenic duct-shield” seems to have large contribution in the beginning of the mirror cooling. This finding will help to design new cooling system for the next generation cryogenic gravitational wave detector.
Journal of Physics :... arrow_drop_down Journal of Physics : Conference Series; IRIS - Institutional Research Information System of the University of TrentoArticle . 2021 . Peer-reviewedLicense: CC BYCaltech AuthorsArticle . 2021 . Peer-reviewedFull-Text: https://authors.library.caltech.edu/108832/1/Akutsu_2021_J._Phys.__Conf._Ser._1857_012002.pdfData sources: Caltech AuthorsMémoires en Sciences de l'Information et de la CommunicationConference object . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/1857/1/012002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold more_vert Journal of Physics :... arrow_drop_down Journal of Physics : Conference Series; IRIS - Institutional Research Information System of the University of TrentoArticle . 2021 . Peer-reviewedLicense: CC BYCaltech AuthorsArticle . 2021 . Peer-reviewedFull-Text: https://authors.library.caltech.edu/108832/1/Akutsu_2021_J._Phys.__Conf._Ser._1857_012002.pdfData sources: Caltech AuthorsMémoires en Sciences de l'Information et de la CommunicationConference object . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/1857/1/012002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 United Kingdom, France, FrancePublisher:IOP Publishing S. S. Makarov; Tatiana Pikuz; Alexey Buzmakov; A. P. Chernyaev; P. Mabey; Tommaso Vinci; G. Rigon; Bruno Albertazzi; Alexis Casner; V. Bouffetier; R. Kodama; Kento Katagiri; Nobuki Kamimura; Yuhei Umeda; Norimasa Ozaki; E. Falize; Olivier Poujade; Tadashi Togashi; Makina Yabashi; T. Yabuuchi; Y. Inubushi; K. Miyanishi; Keiichi Sueda; M. J.-E. Manuel; Gianluca Gregori; M. Koenig; S. A. Pikuz;An x-ray radiography technique based upon phase contrast imaging using a lithium fluoride detector has been demonstrated for goals of high energy density physics experiments. Based on the simulation of propagation an x-ray free-electron laser beam through a testobject, the visibility of phase-contrast image depending on an object-detector distance was investigated. Additionally, the metrological capabilities of a lithium fluoride crystal as a detector were demonstrated. International audience
Mémoires en Sciences... arrow_drop_down Oxford University Research Archive; Journal of Physics : Conference SeriesArticle . Conference object . 2021 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/1787/1/012027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 1 Powered bymore_vert Mémoires en Sciences... arrow_drop_down Oxford University Research Archive; Journal of Physics : Conference SeriesArticle . Conference object . 2021 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/1787/1/012027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Conference object 2021 FrancePublisher:Springer International Publishing Funded by:NSF | EAGER: Bridging the Last ...NSF| EAGER: Bridging the Last Mile; Towards an Assistive Cyberinfrastructure for Accelerating Computationally Driven ScienceLing, Meng; Chen, Jian; M��ller, Torsten; Isenberg, Petra; Isenberg, Tobias; Sedlmair, Michael; Laramee, Robert S.; Shen, Han-Wei; Wu, Jian; Giles, C. Lee;We present document domain randomization (DDR), the first successful transfer of convolutional neural networks (CNNs) trained only on graphically rendered pseudo-paper pages to real-world document segmentation. DDR renders pseudo-document pages by modeling randomized textual and non-textual contents of interest, with user-defined layout and font styles to support joint learning of fine-grained classes. We demonstrate competitive results using our DDR approach to extract nine document classes from the benchmark CS-150 and papers published in two domains, namely annual meetings of Association for Computational Linguistics (ACL) and IEEE Visualization (VIS). We compare DDR to conditions of style mismatch, fewer or more noisy samples that are more easily obtained in the real world. We show that high-fidelity semantic information is not necessary to label semantic classes but style mismatch between train and test can lower model accuracy. Using smaller training samples had a slightly detrimental effect. Finally, network models still achieved high test accuracy when correct labels are diluted towards confusing labels; this behavior hold across several classes. Main paper to appear in ICDAR 2021 (16th International Conference on Document Analysis and Recognition). This version contains additional materials. The associated test data is hosted on IEEE Data Port: http://doi.org/10.21227/326q-bf39
INRIA a CCSD electro... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedLicense: Springer TDMData sources: CrossrefHal-DiderotConference object . 2021Full-Text: https://hal.inria.fr/hal-03336444/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-86549-8_32&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert INRIA a CCSD electro... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedLicense: Springer TDMData sources: CrossrefHal-DiderotConference object . 2021Full-Text: https://hal.inria.fr/hal-03336444/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-86549-8_32&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Conference object , Article 2022 FrancePublisher:IOP Publishing Funded by:EC | DarkSphere, EC | neutronSPHEREEC| DarkSphere ,EC| neutronSPHEREGiomataris, I.; Green, S.; Katsioulas, I.; Knights, P.; Manthos, I.; Matthews, J.; Neep, T.; Nikolopoulos, K.; Papaevangelou, T.; Phoenix, B.; Sanders, J.; Ward, R.;Precise in-situ measurements of the neutron flux in underground laboratories is crucial for direct dark matter searches, as neutron induced backgrounds can mimic the typical dark matter signal. The development of a novel neutron spectroscopy technique using Spherical Proportional Counters is investigated. The detector is operated with nitrogen and is sensitive to both fast and thermal neutrons through the $^{14}$N(n, $\alpha$)$^{11}$B and $^{14}$N(n, p)$^{14}$C reactions. This method holds potential to be a safe, inexpensive, effective, and reliable alternative to $^3$He-based detectors. Measurements of fast and thermal neutrons from an Am-Be source with a Spherical Proportional Counter operated at pressures up to 2 bar at Birmingham are discussed. Comment: 4 pages, 5 figures, International Conference on Technology and Instrumentation in Particle Physics (TIPP2021)
Journal of Physics :... arrow_drop_down Journal of Physics : Conference SeriesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2021https://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/2374/1/012144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Journal of Physics :... arrow_drop_down Journal of Physics : Conference SeriesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveMémoires en Sciences de l'Information et de la Communication; HAL-CEAConference object . 2021https://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/2374/1/012144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Contribution for newspaper or weekly magazine , Article , Conference object 2022 France, United Kingdom, DenmarkPublisher:IOP Publishing Funded by:EC | EuroPLEx, UKRI | Fields, Strings and Latti...EC| EuroPLEx ,UKRI| Fields, Strings and Lattices: From the Inflationary Universe to High-Energy CollidersLucini, Biagio; Francesconi, Olmo; Holzmann, Markus; Lancaster, David; Rago, Antonio;The Logarithmic Linear Relaxation (LLR) algorithm is an efficient method for computing densities of states for systems with a continuous spectrum. A key feature of this method is exponential error reduction, which allows us to evaluate the density of states of a system over hundreds of thousands of orders of magnitude with a fixed level of relative accuracy. As a consequence of exponential error reduction, the LLR method provides a robust alternative to traditional Monte Carlo calculations in cases in which states suppressed by the Boltzmann weight play nevertheless a relevant role, e.g., as transition regions between dominant configuration sets. After reviewing the algorithm, we will show an application in U(1) Lattice Gauge Theory that has enabled us to obtain the most accurate estimate of the critical coupling with modest computational resources, defeating exponential tunneling times between metastable vacua. As a further showcase, we will then present an application of the LLR method to the decorrelation of the topological charge in SU(3) Lattice Gauge Theory near the continuum limit. Finally, we will review in general applications of the LLR algorithm to systems affected by a strong sign problem and discuss the case of the Bose gas at finite chemical potential. Comment: 6 pages, 3 figures. Talk presented by B. Lucini at the XXXII IUPAP Conference on Computational Physics 21, Coventry, UK, 1-5 August 2021
Journal of Physics :... arrow_drop_down University of Southern Denmark Research OutputContribution for newspaper or weekly magazine . 2022Data sources: University of Southern Denmark Research OutputJournal of Physics : Conference SeriesArticle . 2022Data sources: University of Southern Denmark Research OutputarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveMémoires en Sciences de l'Information et de la CommunicationConference object . 2021https://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/2207/1/012052&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Journal of Physics :... arrow_drop_down University of Southern Denmark Research OutputContribution for newspaper or weekly magazine . 2022Data sources: University of Southern Denmark Research OutputJournal of Physics : Conference SeriesArticle . 2022Data sources: University of Southern Denmark Research OutputarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveMémoires en Sciences de l'Information et de la CommunicationConference object . 2021https://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/2207/1/012052&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article , Other literature type 2021 United Kingdom, FrancePublisher:IEEE Funded by:UKRI | Visual AI: An Open World ..., UKRI | Seebibyte: Visual Search ...UKRI| Visual AI: An Open World Interpretable Visual Transformer ,UKRI| Seebibyte: Visual Search for the Era of Big DataAuthors: Brown, A; Kalogeiton, V; Zisserman, A;Brown, A; Kalogeiton, V; Zisserman, A;International audience; The objective of this work is person-clustering in videos-grouping characters according to their identity. Previous methods focus on the narrower task of face-clustering, and for the most part ignore other cues such as the person's voice, their overall appearance (hair, clothes, posture), and the editing structure of the videos. Similarly, most current datasets evaluate only the task of face-clustering, rather than person-clustering. This limits their applicability to downstream applications such as story understanding which require person-level, rather than only face-level, reasoning. In this paper we make contributions to address both these deficiencies: first, we introduce a Multi-Modal High-Precision Clustering algorithm for person-clustering in videos using cues from several modalities (face, body, and voice). Second, we introduce a Video Person-Clustering dataset, for evaluating multi-modal person-clustering. It contains body-tracks for each annotated character, facetracks when visible, and voice-tracks when speaking, with their associated features. The dataset is by far the largest of its kind, and covers films and TV-shows representing a wide range of demographics. Finally, we show the e ectiveness of using multiple modalities for person-clustering, explore the use of this new broad task for story understanding through character co-occurrences, and achieve a new state of the art on all available datasets for face and person-clustering.
Oxford University Re... arrow_drop_down Oxford University Research ArchiveConference object . 2022Data sources: Oxford University Research ArchivearXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/iccvw5...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccvw54120.2021.00357&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!visibility 1visibility views 1 download downloads 4 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research ArchiveConference object . 2022Data sources: Oxford University Research ArchivearXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/iccvw5...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iccvw54120.2021.00357&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Conference object 2021 Italy, France, FrancePublisher:Copernicus GmbH Nawaf, Mohamad Motasem; Drap, P.; Ben-Ellefi, M.; Nocerino, E.; Chemisky, B.; Chassaing, T.; Colpani, A.; Noumossie, V.; Hyttinen, K.; Wood, J.; Gambin, T.; Sourisseau, J.;handle: 11388/277311
Abstract. Cultural Heritage (CH) resources are partial, heterogeneous, discontinuous, and subject to ongoing updates and revisions. The use of semantic web technologies associated with 3D graphical tools is proposed to improve access, exploration, exploitation and enrichment of these CH data in a standardized and more structured form. This article presents the monitoring work developed for more than ten years on the excavation of the Xlendi site. Around an exceptional shipwreck, the oldest from the Archaic period in the Western Mediterranean, we have set up a unique excavation at a depth of 110m assisted by a rigorous and continuous photogrammetry campaign. All the collected results are modelled by an ontology and visualized with virtual and augmented reality tools that allow a bidirectional link between the proposed graphical representations and the non-graphical archaeological data. It is also important to highlight the development of an innovative 3D mobile app that lets users study and understand the site as well as experience sensations close to those of a diver visiting the site.
DOAJ arrow_drop_down ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticleLicense: CC BYData sources: UnpayWallISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-annals-viii-m-1-2021-117-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert DOAJ arrow_drop_down ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticleLicense: CC BYData sources: UnpayWallISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information SciencesOther literature type . 2021Data sources: Copernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/isprs-annals-viii-m-1-2021-117-2021&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2021 FrancePublisher:Elsevier BV Authors: Robert Francis; Alexa Dufraisse;Robert Francis; Alexa Dufraisse;Abstract The study of charcoal from archaeological sites often focuses on merely the identification of taxa. However, the anthraco-typological analysis of oak charcoal offers extensive evidence about the wood diameter, growth pattern, and minimum age of the trees selected for harvest. This in turn gives valuable data on palaeoecology and woodland management. This review focuses on early stage results from oak charcoal remains from three early medieval rural sites in eastern England, dating from the 5th to the 9th century AD. Over 200 fragments of oak charcoal were selected and examined to identify the size class of the wood, the growth patterns and whether the wood was sapwood or heartwood. This has then given evidence of timber and fuel wood collection strategies and woodland management regimes. The data has provided additional evidence on the nature of the sites’ features. Furthermore, the analysis has allowed comparisons to be drawn between the three contemporary sites, as well as to expand the archaeobotanical record to a more detailed understanding of the environment around these settlements. Exceptional material from the early medieval site of Flixborough has allowed a unique insight into the selection of timber and possible long-term woodland management strategies undertaken in the area during the mid 8th to 9th century AD. The results will be discussed regarding the economic and environmental context, demonstrating the value of dendro-anthracological tools in adding additional detail and a new understanding of these sites.
Quaternary Internati... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationArticle . 2020Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotConference object . 2019Mémoires en Sciences de l'Information et de la CommunicationConference object . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.quaint.2020.10.070&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Quaternary Internati... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationArticle . 2020Hyper Article en Ligne - Sciences de l'Homme et de la Société; Hal-DiderotConference object . 2019Mémoires en Sciences de l'Information et de la CommunicationConference object . 2019add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.quaint.2020.10.070&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2021 FrancePublisher:IEEE Funded by:UKRI | First ResponderUKRI| First ResponderAuthors: Kocabiyikoglu, Ali Can; Babouchkine, Jean-Marc; Qader, Raheel; Portet, François;Kocabiyikoglu, Ali Can; Babouchkine, Jean-Marc; Qader, Raheel; Portet, François;Drug prescriptions are essential information that must be encoded in electronic medical records. However, much of this information is hidden within free-text reports. This is why the medication extraction task has emerged. To date, most of the research effort has focused on small amount of data and has only recently considered deep learning methods. In this paper, we present an independent and comprehensive evaluation of state-of-the-art neural architectures on the I2B2 medical prescription extraction task both in the supervised and semi-supervised settings. The study shows the very competitive performance of simple DNN models on the task as well as the high interest of pre-trained models. Adapting the latter models on the I2B2 dataset enables to push medication extraction performances above the state-of-the-art. Finally, the study also confirms that semi-supervised techniques are promising to leverage large amounts of unlabeled data in particular in low resource setting when labeled data is too costly to acquire. Comment: IEEE International Conference on Healthcare Informatics (ICHI 2021)
Hal-Diderot arrow_drop_down Hal-DiderotConference object . 2021arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/ichi52...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; Hal-DiderotConference object . 2021Mémoires en Sciences de l'Information et de la CommunicationConference object . 2021Full-Text: https://hal.science/hal-03252576v2/documenthttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/ichi52183.2021.00032&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Hal-Diderot arrow_drop_down Hal-DiderotConference object . 2021arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/ichi52...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefMémoires en Sciences de l'Information et de la Communication; Hal-DiderotConference object . 2021Mémoires en Sciences de l'Information et de la CommunicationConference object . 2021Full-Text: https://hal.science/hal-03252576v2/documenthttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/ichi52183.2021.00032&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object 2021 United Kingdom, FrancePublisher:IEEE Varol, G; Momeni, L; Albanie, S; Afouras, T; Zisserman, A;The objective of this work is to annotate sign instances across a broad vocabulary in continuous sign language. We train a Transformer model to ingest a continuous signing stream and output a sequence of written tokens on a large-scale collection of signing footage with weakly-aligned subtitles. We show that through this training it acquires the ability to attend to a large vocabulary of sign instances in the input sequence, enabling their localisation. Our contributions are as follows: (1) we demonstrate the ability to leverage large quantities of continuous signing videos with weakly-aligned subtitles to localise signs in continuous sign language; (2) we employ the learned attention to automatically generate hundreds of thousands of annotations for a large sign vocabulary; (3) we collect a set of 37K manually verified sign instances across a vocabulary of 950 sign classes to support our study of sign language recognition; (4) by training on the newly annotated data from our method, we outperform the prior state of the art on the BSL-1K sign language recognition benchmark. Comment: Appears in: 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021). 14 pages
http://arxiv.org/pdf... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveOxford University Research ArchiveConference object . 2021Data sources: Oxford University Research Archivehttps://doi.org/10.1109/cvpr46...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: DataciteMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/cvpr46437.2021.01658&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 3visibility views 3 download downloads 1 Powered bymore_vert http://arxiv.org/pdf... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveOxford University Research ArchiveConference object . 2021Data sources: Oxford University Research Archivehttps://doi.org/10.1109/cvpr46...Conference object . 2021 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: DataciteMémoires en Sciences de l'Information et de la CommunicationConference object . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/cvpr46437.2021.01658&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2021 France, United States, ItalyPublisher:IOP Publishing Tomotada Akutsu; Masaki Ando; Koji Arai; Yoshio Arai; Sakae Araki; Akito Araya; Naoki Aritomi; Y. Aso; S. Bae; Y. Bae; Luca Baiotti; R. Bajpai; M. A. Barton; Kipp Cannon; E. Capocasa; M. Chan; C. Chen; K. Chen; Yi Chen; H. Chu; Y. K. Chu; S. Eguchi; Yutaro Enomoto; R. Flaminio; Yuka Fujii; M. Fukunaga; Mitsuhiro Fukushima; G. Ge; A. Hagiwara; Sadakazu Haino; K. Hasegawa; Hideaki Hayakawa; Kazuhiro Hayama; Yoshiaki Himemoto; Y. Hiranuma; N. Hirata; Eiichi Hirose; Z. Hong; B. H. Hsieh; G-Z. Huang; P. W. Huang; Y. Huang; B. Ikenoue; S. Imam; Kohei Inayoshi; Yuki Inoue; Kunihito Ioka; Yousuke Itoh; K. Izumi; K. Jung; P. Jung; T. Kajita; M. Kamiizumi; Nobuyuki Kanda; G. Kang; Kyohei Kawaguchi; N. Kawai; T. Kawasaki; Chunglee Kim; Jinsook Kim; W. S. Kim; Y. M. Kim; Nobutada Kimura; N. Kita; Haruki Kitazawa; Yasufumi Kojima; Keiko Kokeyama; Kentaro Komori; Albert K. H. Kong; Kei Kotake; Chihiro Kozakai; R. Kozu; Rajesh Kumar; J. Kume; C. M. Kuo; H-S. Kuo; Sachiko Kuroyanagi; K. Kusayanagi; Kyujin Kwak; Hyun Lee; H. W. Lee; Ray-Kuang Lee; M. Leonardi; C-Y. Lin; F-L. Lin; L. C.-C. Lin; Guo-Chin Liu; L. W. Luo; M. Marchio; Yuta Michimura; Norikatsu Mio; Osamu Miyakawa; A. Miyamoto; Y. Miyazaki; K. Miyo; Shinji Miyoki; Soichiro Morisaki; Y. Moriwaki; Koji Nagano; Shigeo Nagano; Kouji Nakamura; Hiroyuki Nakano; M. Nakano; R. Nakashima; T. Narikawa; R. Negishi; Wei-Tou Ni; Atsushi Nishizawa; Yoshiyuki Obuchi; W. Ogaki; John J. Oh; Seog Oh; Masatake Ohashi; Naoko Ohishi; Masashi Ohkawa; Koki Okutomi; K. Oohara; C. P. Ooi; S. Oshino; Kuo-Chuan Pan; H. Pang; Jong-Dae Park; F. E. Peiia Arellano; I. M. Pinto; Norichika Sago; Shuji Saito; Yoshihiko Saito; K. Sakai; Y. Sakai; Y. Sakuno; S. Sato; Takashi Sato; T. Sawada; T. Sekiguchi; Yuichiro Sekiguchi; S. Shibagaki; T. Shimoda; K. Shimode; Hisa-aki Shinkai; T. Shishido; A. Shoda; Kentaro Somiya; Edwin J. Son; Hajime Sotani; R. Sugimoto; Toshio Suzuki; Hideyuki Tagoshi; Hirotaka Takahashi; Ryutaro Takahashi; Akiteru Takamori; S. Takano; Hiroyuki Takeda; M. Takeda; H. K. Tanaka; Kazuyuki Tanaka; Takahiro Tanaka; S. Tanioka; E. N. Tapia San Martin; Souichi Telada; Takayuki Tomaru; Y. Tomigami; T. Tomura; F. Travasso; L. Trozzo; T. Tsang; Kimio Tsubono; Satoshi Tsuchida; Toshihiro Tsuzuki; D. Tuyenbayev; N. Uchikata; Takashi Uchiyama; A. Ueda; T. Uehara; Koh Ueno; G. Ueshima; Fumihiro Uraguchi; T. Ushiba; M. H. P. M. van Putten; H. Vocca; J. Z. Wang; C. M. Wu; H. C. Wu; S. Wu; W-R. Xu; Tatsuhiro Yamada; K. Yamamoto; T. Yamamoto; K. Yokogawa; Jun'ichi Yokoyama; T. Yokozawa; T. Yoshioka; H. Yuzurihara; Simon Zeidler; Yuhang Zhao; Zong-Hong Zhu;handle: 11572/371973
Abstract Radiative cooling of the thermally isolated system is investigated in KAGRA gravitational wave telescope. KAGRA is a laser interferometer-based detector and main mirrors constituting optical cavities are cool down to 20K to reduce noises caused by the thermal fluctuation. The mirror is suspended with the multi-stage pendulum to isolate any vibration. Therefore, this mirror suspension system has few heat links to reduce vibration injection. Thus, this system is mainly cooled down with thermal radiation. In order to understand the process of radiative cooling of the mirror, we analyzed cooling curve based on mass and specific heat. As a result, it was newly found that a cryogenic part called ”cryogenic duct-shield” seems to have large contribution in the beginning of the mirror cooling. This finding will help to design new cooling system for the next generation cryogenic gravitational wave detector.
Journal of Physics :... arrow_drop_down Journal of Physics : Conference Series; IRIS - Institutional Research Information System of the University of TrentoArticle . 2021 . Peer-reviewedLicense: CC BYCaltech AuthorsArticle . 2021 . Peer-reviewedFull-Text: https://authors.library.caltech.edu/108832/1/Akutsu_2021_J._Phys.__Conf._Ser._1857_012002.pdfData sources: Caltech AuthorsMémoires en Sciences de l'Information et de la CommunicationConference object . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/1857/1/012002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold more_vert Journal of Physics :... arrow_drop_down Journal of Physics : Conference Series; IRIS - Institutional Research Information System of the University of TrentoArticle . 2021 . Peer-reviewedLicense: CC BYCaltech AuthorsArticle . 2021 . Peer-reviewedFull-Text: https://authors.library.caltech.edu/108832/1/Akutsu_2021_J._Phys.__Conf._Ser._1857_012002.pdfData sources: Caltech AuthorsMémoires en Sciences de l'Information et de la CommunicationConference object . 2020add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/1857/1/012002&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 United Kingdom, France, FrancePublisher:IOP Publishing S. S. Makarov; Tatiana Pikuz; Alexey Buzmakov; A. P. Chernyaev; P. Mabey; Tommaso Vinci; G. Rigon; Bruno Albertazzi; Alexis Casner; V. Bouffetier; R. Kodama; Kento Katagiri; Nobuki Kamimura; Yuhei Umeda; Norimasa Ozaki; E. Falize; Olivier Poujade; Tadashi Togashi; Makina Yabashi; T. Yabuuchi; Y. Inubushi; K. Miyanishi; Keiichi Sueda; M. J.-E. Manuel; Gianluca Gregori; M. Koenig; S. A. Pikuz;An x-ray radiography technique based upon phase contrast imaging using a lithium fluoride detector has been demonstrated for goals of high energy density physics experiments. Based on the simulation of propagation an x-ray free-electron laser beam through a testobject, the visibility of phase-contrast image depending on an object-detector distance was investigated. Additionally, the metrological capabilities of a lithium fluoride crystal as a detector were demonstrated. International audience
Mémoires en Sciences... arrow_drop_down Oxford University Research Archive; Journal of Physics : Conference SeriesArticle . Conference object . 2021 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/1787/1/012027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 1 Powered bymore_vert Mémoires en Sciences... arrow_drop_down Oxford University Research Archive; Journal of Physics : Conference SeriesArticle . Conference object . 2021 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1742-6596/1787/1/012027&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Conference object 2021 FrancePublisher:Springer International Publishing Funded by:NSF | EAGER: Bridging the Last ...NSF| EAGER: Bridging the Last Mile; Towards an Assistive Cyberinfrastructure for Accelerating Computationally Driven ScienceLing, Meng; Chen, Jian; M��ller, Torsten; Isenberg, Petra; Isenberg, Tobias; Sedlmair, Michael; Laramee, Robert S.; Shen, Han-Wei; Wu, Jian; Giles, C. Lee;We present document domain randomization (DDR), the first successful transfer of convolutional neural networks (CNNs) trained only on graphically rendered pseudo-paper pages to real-world document segmentation. DDR renders pseudo-document pages by modeling randomized textual and non-textual contents of interest, with user-defined layout and font styles to support joint learning of fine-grained classes. We demonstrate competitive results using our DDR approach to extract nine document classes from the benchmark CS-150 and papers published in two domains, namely annual meetings of Association for Computational Linguistics (ACL) and IEEE Visualization (VIS). We compare DDR to conditions of style mismatch, fewer or more noisy samples that are more easily obtained in the real world. We show that high-fidelity semantic information is not necessary to label semantic classes but style mismatch between train and test can lower model accuracy. Using smaller training samples had a slightly detrimental effect. Finally, network models still achieved high test accuracy when correct labels are diluted towards confusing labels; this behavior hold across several classes. Main paper to appear in ICDAR 2021 (16th International Conference on Document Analysis and Recognition). This version contains additional materials. The associated test data is hosted on IEEE Data Port: http://doi.org/10.21227/326q-bf39
INRIA a CCSD electro... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedLicense: Springer TDMData sources: CrossrefHal-DiderotConference object . 2021Full-Text: https://hal.inria.fr/hal-03336444/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-86549-8_32&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert INRIA a CCSD electro... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedLicense: Springer TDMData sources: CrossrefHal-DiderotConference object . 2021Full-Text: https://hal.inria.fr/hal-03336444/documentData sources: Hal-Diderotadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-86549-8_32&type=result"></script>'); --> </script>
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