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Impact and Detection of Facial Beautification in Face Recognition: An Overview
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In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.inria.fr/hal-02378939 ; IEEE Access, IEEE, 2019, ⟨10.1109/ACCESS.2019.DOI⟩ (2019)
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The Potential of Mobile-based and Pattern-oriented Concordancing for Assisting Upper-intermediate ESL Students in Their Academic Writing
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Quan, Zhi. - : Auckland University of Technology, 2019
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Sign Language Video Analysis For Automatic Recognition and Detection
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In: 14th IEEE International Conference on Automatic Face and Gesture Recognition ; https://hal.archives-ouvertes.fr/hal-02146366 ; 14th IEEE International Conference on Automatic Face and Gesture Recognition, May 2019, Lille, France (2019)
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Multimodal deep networks for text and image-based document classification ; Réseau de neurones multimodal pour la classification de documents image/texte
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In: Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle (APIA) ; https://hal.archives-ouvertes.fr/hal-02163257 ; Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle (APIA), Jul 2019, Toulouse, France (2019)
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| 6 |
Automatic recognition of Sign Language structures in RGB videos: the detection of pointing and lexical signs
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In: https://hal.archives-ouvertes.fr/hal-02146368 ; 2019 (2019)
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Optimization of a gesture representation network for Sign Language analysis
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In: https://hal.archives-ouvertes.fr/hal-02146369 ; 2019 (2019)
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| 8 |
Les préformantes m et n en zénaga. Dérivations et significations
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In: Études berbères VII. Essais sur la sémantique en berbère et autres articles, Actes du « 7. Bayreuth-Frankfurt-Leidener Kolloquium zur Berberologie », Francfort-sur-le-Main, 16–18 juillet 2012 ; https://halshs.archives-ouvertes.fr/halshs-03087890 ; R. Vossen; K. Winkelmann; D. Ibriszimow; H. Stroomer. Études berbères VII. Essais sur la sémantique en berbère et autres articles, Actes du « 7. Bayreuth-Frankfurt-Leidener Kolloquium zur Berberologie », Francfort-sur-le-Main, 16–18 juillet 2012, Rüdiger Köppe Verlag, pp.189-218, 2019, Berber Studies, 978-3-89645-954-1 (2019)
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| 9 |
Aphasia outcome: the interactions between initial severity, lesion size and location
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In: ISSN: 0340-5354 ; EISSN: 1432-1459 ; Journal of Neurology ; https://hal.inria.fr/hal-02418331 ; Journal of Neurology, Springer Verlag, 2019, 266 (6), pp.1303-1309. ⟨10.1007/s00415-019-09259-3⟩ (2019)
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| 10 |
Absent words in a sliding window with applications
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In: ISSN: 0890-5401 ; EISSN: 1090-2651 ; Information and Computation ; https://hal.archives-ouvertes.fr/hal-02414839 ; Information and Computation, Elsevier, 2019, pp.104461. ⟨10.1016/j.ic.2019.104461⟩ (2019)
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| 11 |
Image processing and computer vision for beginners ; Initiation au traitement d'images
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In: https://hal.archives-ouvertes.fr/cel-01477225 ; Master. France. 2019 (2019)
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| 12 |
The role of working memory for syntactic formulation in language production.
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In: Journal of experimental psychology. Learning, memory, and cognition, vol 45, iss 10 (2019)
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| 13 |
Image search using multilingual texts: a cross-modal learning approach between image and text
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In: https://hal.archives-ouvertes.fr/hal-02077556 ; [Research Report] qwant research. 2019 (2019)
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| 14 |
A Real-time Human-Robot Interaction Framework with Robust Background Invariant Hand Gesture Detection
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In: ISSN: 0736-5845 ; Robotics and Computer-Integrated Manufacturing ; https://hal.archives-ouvertes.fr/hal-01823338 ; Robotics and Computer-Integrated Manufacturing, Elsevier, 2019, 60, pp.34-48. ⟨10.1016/j.rcim.2019.05.008⟩ (2019)
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| 15 |
Learning to Localize and Align Fine-Grained Actions to Sparse Instructions
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In: https://hal.archives-ouvertes.fr/hal-01979719 ; 2019 (2019)
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| 16 |
Designing Language-Agnostic Code Transformation Engines ; Construction de moteurs de transformation de code automatique agnostiques du langage
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In: https://tel.archives-ouvertes.fr/tel-03356307 ; Programming Languages [cs.PL]. Université de Lille, 2019. English (2019)
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| 18 |
SIMULATION MODEL OF RECOGNITION AND UNDERSTANDING OF STATIC OBJECTS BY A SELF-LEARNING ROBOT BASED ON MULTI-AGENT NEUROCOGNITIVE ARCHITECTURES ...
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| 19 |
Learning to Learn Words from Visual Scenes ...
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Abstract:
Language acquisition is the process of learning words from the surrounding scene. We introduce a meta-learning framework that learns how to learn word representations from unconstrained scenes. We leverage the natural compositional structure of language to create training episodes that cause a meta-learner to learn strong policies for language acquisition. Experiments on two datasets show that our approach is able to more rapidly acquire novel words as well as more robustly generalize to unseen compositions, significantly outperforming established baselines. A key advantage of our approach is that it is data efficient, allowing representations to be learned from scratch without language pre-training. Visualizations and analysis suggest visual information helps our approach learn a rich cross-modal representation from minimal examples. Project webpage is available at https://expert.cs.columbia.edu/ ... : 26 pages, 12 figures ...
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Keyword:
Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.1911.11237
https://arxiv.org/abs/1911.11237
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