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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Aligning Subtitles in Sign Language Videos Bull, Hannah; Afouras, Triantafyllos; Varol, Gül; Albanie, Samuel; Momeni, Liliane; Zisserman, Andrew In: International Conference on Computer Vision (ICCV) ; https://hal.archives-ouvertes.fr/hal-03515983 ; International Conference on Computer Vision (ICCV), Oct 2021, Montreal, Canada (2021) Abstract: International audience ; The goal of this work is to temporally align asynchronous subtitles in sign language videos. In particular, we focus on sign-language interpreted TV broadcast data comprising (i) a video of continuous signing, and (ii) subtitles corresponding to the audio content. Previous work exploiting such weakly-aligned data only considered finding keyword-sign correspondences, whereas we aim to localise a complete subtitle text in continuous signing. We propose a Transformer architecture tailored for this task, which we train on manually annotated alignments covering over 15K subtitles that span 17.7 hours of video. We use BERT subtitle embeddings and CNN video representations learned for sign recognition to encode the two signals, which interact through a series of attention layers. Our model outputs frame-level predictions, i.e., for each video frame, whether it belongs to the queried subtitle or not. Through extensive evaluations, we show substantial improvements over existing alignment baselines that do not make use of subtitle text embeddings for learning. Our automatic alignment model opens up possibilities for advancing machine translation of sign languages via providing continuously synchronized video-text data. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO]Computer Science [cs] URL: https://hal.archives-ouvertes.fr/hal-03515983 BASE Hide details 2 Read and Attend: Temporal Localisation in Sign Language Videos Varol, Gül; Momeni, Liliane; Albanie, Samuel... In: 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021) ; https://hal.archives-ouvertes.fr/hal-03513396 ; 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), Jun 2021, Nashville, TN, United States. ⟨10.1109/CVPR46437.2021.01658⟩ (2021) BASE Show details 3 Read and Attend: Temporal Localisation in Sign Language Videos ... Varol, Gül; Momeni, Liliane; Albanie, Samuel. - : arXiv, 2021 BASE Show details 4 Visual Keyword Spotting with Attention ... Prajwal, K R; Momeni, Liliane; Afouras, Triantafyllos. - : arXiv, 2021 BASE Show details 5 Aligning Subtitles in Sign Language Videos ... Bull, Hannah; Afouras, Triantafyllos; Varol, Gül. - : arXiv, 2021 BASE Show details 6 BBC-Oxford British Sign Language Dataset ... Albanie, Samuel; Varol, Gül; Momeni, Liliane. - : arXiv, 2021 BASE Show details

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