Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Koller, Oscar"'
Sign language detection, identifying if someone is signing or not, is becoming crucially important for its applications in remote conferencing software and for selecting useful sign data for training sign language recognition or translation tasks. We
Externí odkaz:
http://arxiv.org/abs/2303.10782
This paper describes Microsoft's submission to the first shared task on sign language translation at WMT 2022, a public competition tackling sign language to spoken language translation for Swiss German sign language. The task is very challenging due
Externí odkaz:
http://arxiv.org/abs/2210.13326
This paper describes the winning approach in the Shared Task 3 at SwissText 2021 on Swiss German Speech to Standard German Text, a public competition on dialect recognition and translation. Swiss German refers to the multitude of Alemannic dialects s
Externí odkaz:
http://arxiv.org/abs/2106.08126
Sign languages use multiple asynchronous information channels (articulators), not just the hands but also the face and body, which computational approaches often ignore. In this paper we tackle the multi-articulatory sign language translation task an
Externí odkaz:
http://arxiv.org/abs/2009.00299
Autor:
Koller, Oscar
This work presents a meta study covering around 300 published sign language recognition papers with over 400 experimental results. It includes most papers between the start of the field in 1983 and 2020. Additionally, it covers a fine-grained analysi
Externí odkaz:
http://arxiv.org/abs/2008.09918
Prior work on Sign Language Translation has shown that having a mid-level sign gloss representation (effectively recognizing the individual signs) improves the translation performance drastically. In fact, the current state-of-the-art in translation
Externí odkaz:
http://arxiv.org/abs/2003.13830
Autor:
Bragg, Danielle, Koller, Oscar, Bellard, Mary, Berke, Larwan, Boudrealt, Patrick, Braffort, Annelies, Caselli, Naomi, Huenerfauth, Matt, Kacorri, Hernisa, Verhoef, Tessa, Vogler, Christian, Morris, Meredith Ringel
Developing successful sign language recognition, generation, and translation systems requires expertise in a wide range of fields, including computer vision, computer graphics, natural language processing, human-computer interaction, linguistics, and
Externí odkaz:
http://arxiv.org/abs/1908.08597
Autor:
Joze, Hamid Reza Vaezi, Koller, Oscar
Publikováno v:
British Machine Vision Conference, September 2019, Cardiff, UK
Sign language recognition is a challenging and often underestimated problem comprising multi-modal articulators (handshape, orientation, movement, upper body and face) that integrate asynchronously on multiple streams. Learning powerful statistical m
Externí odkaz:
http://arxiv.org/abs/1812.01053
Autor:
Müller, Mathias, Ebling, Sarah, Avramidis, Eleftherios, Battisti, Alessia, Berger, Michèle, Bowden, Richard, Braffort, Annelies, Camgöz, Necati Cihan, Espana-Bonet, Cristina, Grundkiewicz, Roman, Jiang, Zifan, Koller, Oscar, Moryossef, Amit, Perrollaz, Regula, Reinhard, Sabine, Rios, Annette, Shterionov, Dimitar, Sidler-Miserez, Sandra, Tissi, Katja, Van Landuyt, Davy
Publikováno v:
Proceedings of the 24th Annual Conference of the European Association for Machine Translation
24th Annual Conference of the European Association for Machine Translation (EAMT 2023)
24th Annual Conference of the European Association for Machine Translation (EAMT 2023), Jun 2023, Tampere, Finland. pp.507-508
24th Annual Conference of the European Association for Machine Translation (EAMT 2023)
24th Annual Conference of the European Association for Machine Translation (EAMT 2023), Jun 2023, Tampere, Finland. pp.507-508
International audience; This paper is a brief summary of the First WMT Shared Task on Sign Language Translation (WMT-SLT22), a project partly funded by EAMT. The focus of this shared task is automatic translation between signed and spoken languages.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::f79799c450cf4be21734add87184ba7e
https://hal.science/hal-04133073/file/WMT-SLT_EAMT.pdf
https://hal.science/hal-04133073/file/WMT-SLT_EAMT.pdf
Autor:
Müller, Mathias, Ebling, Sarah, Avramidis, Eleftherios, Battisti, Alessia, Berger, Michèle, Bowden, Richard, Braffort, Annelies, Cihan Camgöz, Necati, España-Bonet, Cristina, Grundkiewicz, Roman, Jiang, Zifan, Koller, Oscar, Moryossef, Amit, Perrollaz, Regula, Reinhard, Sabine, Rios, Annette, Shterionov, Dimitar, Sidler-Miserez, Sandra, Tissi, Katja, Van Landuyt, Davy
Publikováno v:
Proceedings of the Seventh Conference on Machine Translation (WMT)
Seventh Conference on Machine Translation (WMT)
Seventh Conference on Machine Translation (WMT), Dec 2022, Abu Dhabi, United Arab Emirates. pp.744-772
Seventh Conference on Machine Translation (WMT)
Seventh Conference on Machine Translation (WMT), Dec 2022, Abu Dhabi, United Arab Emirates. pp.744-772
International audience; This paper presents the results of the First WMT Shared Task on Sign Language Translation (WMT-SLT22) 1. This shared task is concerned with automatic translation between signed and spoken 2 languages. The task is novel in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::657866538791ec0a866902a9dcb2f122
https://hal.science/hal-04133034/file/2022.wmt-1.71.pdf
https://hal.science/hal-04133034/file/2022.wmt-1.71.pdf