Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs von Koller, Oscar, Zargaran, Sepehr, Ney, Hermann, Bowden, Richard

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Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers von Koller, Oscar, Forster, Jens, Ney, Hermann

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Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos von Koller, Oscar, Camgoz, Necati Cihan, Ney, Hermann, Bowden, Richard

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Multi-channel Transformers for Multi-articulatory Sign Language Translation von Camgoz, Necati Cihan, Koller, Oscar, Hadfield, Simon, Bowden, Richard

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The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective von Bragg, Danielle, Caselli, Naomi, Hochgesang, Julie A., Huenerfauth, Matt, Katz-Hernandez, Leah, Koller, Oscar, Kushalnagar, Raja, Vogler, Christian, Ladner, Richard E.

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Quantitative Survey of the State of the Art in Sign Language Recognition von Koller, Oscar

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Quantitative Survey of the State of the Art in Sign Language Recognition von Koller, Oscar

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Read My Lips: Continuous Signer Independent Weakly Supervised Viseme Recognition von Koller, Oscar, Ney, Hermann, Bowden, Richard

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On the Importance of Signer Overlap for Sign Language Detection von Pal, Abhilash, Huber, Stephan, Chaabani, Cyrine, Manzotti, Alessandro, Koller, Oscar

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Clean Text and Full-Body Transformer: Microsoft's Submission to the WMT22 Shared Task on Sign Language Translation von Dey, Subhadeep, Pal, Abhilash, Chaabani, Cyrine, Koller, Oscar

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Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021 von Arabskyy, Yuriy, Agarwal, Aashish, Dey, Subhadeep, Koller, Oscar

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Multi-channel Transformers for Multi-articulatory Sign Language Translation von Camgoz, Necati Cihan, Koller, Oscar, Hadfield, Simon, Bowden, Richard

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MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language von Joze, Hamid Reza Vaezi, Koller, Oscar

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Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation von Camgoz, Necati Cihan, Koller, Oscar, Hadfield, Simon, Bowden, Richard

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On the Importance of Signer Overlap for Sign Language Detection von Pal, Abhilash, Huber, Stephan, Chaabani, Cyrine, Manzotti, Alessandro, Koller, Oscar

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Clean Text and Full-Body Transformer: Microsoft's Submission to the WMT22 Shared Task on Sign Language Translation von Dey, Subhadeep, Pal, Abhilash, Chaabani, Cyrine, Koller, Oscar

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Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23) von Müller, Mathias, Alikhani, Malihe, Avramidis, Eleftherios, Bowden, Richard, Braffort, Annelies, Cihan Camgöz, Necati, Ebling, Sarah, España-Bonet, Cristina, Göhring, Anne, Grundkiewicz, Roman, Inan, Mert, Jiang, Zifan, Koller, Oscar, Moryossef, Amit, Rios, Annette, Shterionov, Dimitar, Sidler-Miserez, Sandra, Tissi, Katja, Van Landuyt, Davy

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May the force be with you: Force-aligned signwriting for automatic subunit annotation of corpora von Koller, Oscar, Ney, Hermann, Bowden, Richard

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MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language von Hamid Reza Vaezi Joze, Koller, Oscar

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Findings of the First WMT Shared Task on Sign Language Translation (WMT-SLT22) von 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

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