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13 Mar 2018: It has been tested in real conditions with a 3D database (FRAV3D), at present composed by 51 people (714 total captures) in different pose conditions.

20 Feb 2018: 3.4. Amazon MTurk service. In order to evaluate or train a policy with real people we used crowd-sourcing, for which we used the Amazon MTurk service in a

20 Feb 2018: The ultimategoal should be to design and deploy such dialogue systems thatthey would be used by people genuinely interested in the serviceand to reach a volume of calls that would allow

13 Mar 2018: c) shows per-class IOU comparison on Unite the People S31. YouTube Pose [7]. ... OnUnite the People, these scores are shown as averages over left-right body parts.

13 Mar 2018: The practical importance of this can be seen bynoting that in the US in 2000 roughly 96 million people, or34% of the total population, wore prescription glasses [18]. ... 1-to-N and 1-to-1 matching scenarios. In the former case,we assumed that test data

20 Feb 2018: A general background model wasnot. found to be helpful as the things that people tend to say in thecon-text of the dialogue system are very limited, and well covered bydata

13 Mar 2018: Our primary contributionis a new method for creating images of specific thingsand people, with minimal human effort. ... semantic labels such as proper names of people, andcan be supplemented with copy-pasted islands of pixelsfor categories that lack

13 Mar 2018: artificially generated 3D human body images (using SMPL [2]) and on real images from theUnite the People dataset [9]. ... within the range of values ob-served in the Unite The People dataset [9].

13 Mar 2018: 5.2 Face recognition experimentsWe have evaluated the face recognition performance usinga data set containing 5 people (10 sequences per person, 50frames per sequence). ... Although the trackingexperiments in this paper show results on a relatively

13 Mar 2018: Recognition rate of 98% was achieved on a database of100 people under varying illumination. ... Acknowledgements. We would like to thank the Toshiba Corporation for their kind support for our re-search, the people from the University of Cambridge