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SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop

Camgöz, NC; Varol, G; Albanie, S; Fox, N; Bowden, R; Zisserman, A; Cormier, K; (2021) SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop. In: Bartoli, A and Fusiello, A, (eds.) Computer Vision – ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part II. (pp. pp. 179-185). Springer: Cham, Switzerland. Green open access

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Abstract

The objective of the “Sign Language Recognition, Translation & Production” (SLRTP 2020) Workshop was to bring together researchers who focus on the various aspects of sign language understanding using tools from computer vision and linguistics. The workshop sought to promote a greater linguistic and historical understanding of sign languages within the computer vision community, to foster new collaborations and to identify the most pressing challenges for the field going forwards. The workshop was held in conjunction with the European Conference on Computer Vision (ECCV), 2020.

Type: Proceedings paper
Title: SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop
Event: ECCV 2020: Computer Vision – ECCV 2020 Workshops
ISBN-13: 978-3-030-66095-6
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-66096-3_13
Publisher version: https://doi.org/10.1007/978-3-030-66096-3_13
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Linguistics
URI: https://discovery.ucl.ac.uk/id/eprint/10126538
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