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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 Page: 1 2 3 4 5...212 Hits 1 – 20 of 4.228 1 The Impact of Removing Head Movements on Audio-visual Speech Enhancement Kang, Zhiqi; Sadeghi, Mostafa; Horaud, Radu... In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.inria.fr/hal-03551610 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, May 2022, Singapore, Singapore. pp.1-5 (2022) BASE Show details 2 An Overview of Indian Spoken Language Recognition from Machine Learning Perspective Dey, Spandan; Sahidullah, Md; Saha, Goutam In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022) BASE Show details 3 BBC-Oxford British Sign Language Dataset Albanie, Samuel; Varol, Gül; Momeni, Liliane... In: https://hal.archives-ouvertes.fr/hal-03516444 ; 2022 (2022) BASE Show details 4 Can machines learn to see without visual databases? Betti, Alessandro; Gori, Marco; Melacci, Stefano... In: https://hal.archives-ouvertes.fr/hal-03526569 ; 2022 (2022) BASE Show details 5 Large-scale Bilingual Language-Image Contrastive Learning ... Ko, Byungsoo; Gu, Geonmo. - : arXiv, 2022 BASE Show details 6 Bridging Video-text Retrieval with Multiple Choice Questions ... Ge, Yuying; Ge, Yixiao; Liu, Xihui. - : arXiv, 2022 BASE Show details 7 DanFEVER: claim verification dataset for Danish ... Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022 BASE Show details 8 DanFEVER: claim verification dataset for Danish ... Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022 BASE Show details 9 Towards a Perceptual Model for Estimating the Quality of Visual Speech ... Aldeneh, Zakaria; Fedzechkina, Masha; Seto, Skyler. - : arXiv, 2022 BASE Show details 10 An error correction scheme for improved air-tissue boundary in real-time MRI video for speech production ... Roy, Anwesha; Belagali, Varun; Ghosh, Prasanta Kumar. - : arXiv, 2022 BASE Show details 11 Expression-preserving face frontalization improves visually assisted speech processing ... Kang, Zhiqi; Sadeghi, Mostafa; Horaud, Radu. - : arXiv, 2022 BASE Show details 12 WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ... Tavella, Federico; Schlegel, Viktor; Romeo, Marta. - : arXiv, 2022 BASE Show details 13 Modeling Intensification for Sign Language Generation: A Computational Approach ... İnan, Mert; Zhong, Yang; Hassan, Sabit. - : arXiv, 2022 BASE Show details 14 Keypoint based Sign Language Translation without Glosses ... Kim, Youngmin; Kwak, Minji; Lee, Dain. - : arXiv, 2022 BASE Show details 15 A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ... Ferreira, Silvan; Costa, Esdras; Dahia, Márcio; Rocha, Jampierre. - : arXiv, 2022 Abstract: Sign language recognition from sequences of monocular images or 2D poses is a challenging field, not only due to the difficulty to infer 3D information from 2D data, but also due to the temporal relationship between the sequences of information. Additionally, the wide variety of signs and the constant need to add new ones on production environments makes it infeasible to use traditional classification techniques. We propose a novel Contrastive Transformer-based model, which demonstrate to learn rich representations from body key points sequences, allowing better comparison between vector embedding. This allows us to apply these techniques to perform one-shot or few-shot tasks, such as classification and translation. The experiments showed that the model could generalize well and achieved competitive results for sign classes never seen in the training process. ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/2204.02803 https://dx.doi.org/10.48550/arxiv.2204.02803 BASE Hide details 16 A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation ... Chen, Yutong; Wei, Fangyun; Sun, Xiao. - : arXiv, 2022 BASE Show details 17 Including Facial Expressions in Contextual Embeddings for Sign Language Generation ... Viegas, Carla; İnan, Mert; Quandt, Lorna. - : arXiv, 2022 BASE Show details 18 Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production ... Saunders, Ben; Camgoz, Necati Cihan; Bowden, Richard. - : arXiv, 2022 BASE Show details 19 Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor ... Bird, Jordan J.. - : arXiv, 2022 BASE Show details 20 Multi-View Spatial-Temporal Network for Continuous Sign Language Recognition ... Li, Ronghui; Meng, Lu. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...212

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