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Robust Face Frontalization For Visual Speech Recognition
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In: International Conference on Computer Vision Workshops ; https://hal.inria.fr/hal-03326002 ; International Conference on Computer Vision Workshops, IEEE, Oct 2021, Montreal - Virtual, Canada ; http://iccv2021.thecvf.com/home (2021)
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Robust Face Frontalization For Visual Speech Recognition
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In: ICCV 2021 - International Conference on Computer Vision Workshops ; https://hal.inria.fr/hal-03326002 ; ICCV 2021 - International Conference on Computer Vision Workshops, IEEE, Oct 2021, Montreal - Virtual, Canada. pp.1-16 ; http://iccv2021.thecvf.com/home (2021)
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Explainable Thermal to Visible Face Recognition Using Latent-Guided Generative Adversarial Network
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In: FG 2021 - IEEE International Conference on Automatic Face and Gesture Recognition ; https://hal.archives-ouvertes.fr/hal-03523037 ; FG 2021 - IEEE International Conference on Automatic Face and Gesture Recognition, Dec 2021, Jodhpur, India. ⟨10.1109/FG52635.2021.9667018⟩ ; http://iab-rubric.org/fg2021/index.html (2021)
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Robust Face Frontalization For Visual Speech Recognition
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In: ICCV 2021 - International Conference on Computer Vision Workshops ; https://hal.inria.fr/hal-03326002 ; ICCV 2021 - International Conference on Computer Vision Workshops, IEEE, Oct 2021, Montreal - Virtual, Canada. pp.1-16 ; http://iccv2021.thecvf.com/home (2021)
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Automatic Annotation and Segmentation of Sign Language Videos: Base-level Features and Lexical Signs Classification
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In: 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) ; https://hal.archives-ouvertes.fr/hal-03375858 ; 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021), Feb 2021, Online streaming, France. pp.484-491, ⟨10.5220/0010247104840491⟩ (2021)
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IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding
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In: ISSN: 0162-8828 ; IEEE Transactions on Pattern Analysis and Machine Intelligence ; https://hal.archives-ouvertes.fr/hal-02274273 ; IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2021 (2021)
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Occlusion resistant learning of intuitive physics from videos
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In: https://hal.archives-ouvertes.fr/hal-03139755 ; 2021 (2021)
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Overview of LifeCLEF 2021: an evaluation of Machine-Learning based Species Identification and Species Distribution Prediction
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In: Experimental IR Meets Multilinguality, Multimodality, and Interaction ; https://hal.inria.fr/hal-03415990 ; K. Selçuk Candan; Bogdan Ionescu; Lorraine Goeuriot; Birger Larsen; Henning Müller; Alexis Joly; Maria Maistro; Florina Piroi; Guglielmo Faggioli; Nicola Ferro. Experimental IR Meets Multilinguality, Multimodality, and Interaction, 12880, Springer International Publishing, pp.371-393, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1_24⟩ (2021)
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Unsupervised Learning of Intuitive Physics from Videos ; Apprentissage non-supervisé de la physique intuitive
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In: https://hal.archives-ouvertes.fr/tel-03530321 ; Artificial Intelligence [cs.AI]. Ecole Normale Superieure de Paris - ENS Paris, 2021. English (2021)
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Aligning Subtitles in Sign Language Videos
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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)
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Sign Segmentation with Changepoint-Modulated Pseudo-Labelling
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In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ; https://hal.archives-ouvertes.fr/hal-03513415 ; 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun 2021, Nashville, TN, United States. ⟨10.1109/CVPRW53098.2021.00379⟩ (2021)
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Read and Attend: Temporal Localisation in Sign Language Videos
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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)
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Machine Translation ; Machine Translation: Special Issue: Sign Language Translation and Avatar Technology
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In: https://hal.archives-ouvertes.fr/hal-03375911 ; 35 (3), Springer, 2021, Special Issue: Sign Language Translation and Avatar Technology (2021)
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Sign language segmentation with temporal convolutional networks
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In: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-03513405 ; 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, ON, Canada. ⟨10.1109/ICASSP39728.2021.9413817⟩ (2021)
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A modular tool for automatic Soundpainting query recognition and music generation in Max/MSP
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In: Sound and Music Computing ; https://hal.archives-ouvertes.fr/hal-03262673 ; Sound and Music Computing, 2021, Torino (virtual), Italy (2021)
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"It Is Not the Robot Who Learns, It Is Me." Treating Severe Dysgraphia Using Child-Robot Interaction
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In: ISSN: 1664-0640 ; Frontiers in Psychiatry ; https://hal.sorbonne-universite.fr/hal-03152170 ; Frontiers in Psychiatry, Frontiers, 2021, 12, pp.596055. ⟨10.3389/fpsyt.2021.596055⟩ (2021)
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Online analysis of children handwritten words in dictation context
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In: 14th International Workshop on Graphics Recognition ; https://hal.archives-ouvertes.fr/hal-03448357 ; 14th International Workshop on Graphics Recognition, Sep 2021, Lausanne, Switzerland (2021)
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Abstract:
International audience ; This paper presents a method for fine analysis of children handwriting on pen-based tablets. This work is in the context of the P2IA project, funded by the French government, which aims at designing a virtual notebook in order to foster handwriting learning for primary school pupils. In this work, we consider the task of analysing handwritten words in the context of a dictation exercise. This task is complex due to different factors: the children do not master yet the morphological aspects of handwriting, nor do they master orthography or translating phonetic sounds to actual graphemes (parts of word). In order to tackle this problem, we extend to the context of dictation exercises an analysis engine that was developed previously to deal with copying exercises. Two strategies were developed, the first one is a baseline approach and relies on double child input: the pupil types the word on a virtual keyboard after writing it with the stylus, thus the prior knowledge of the written word will drive the engine analysis. The second one relies on a single input: the child handwritten strokes. To drive the analysis, the strategy consists in generating hypotheses that are phonetically similar to the dictated instruction, which will act as probable approximations of the written word (sequence of letters), to cover potential orthographic mistakes by the pupil. To assist the learning process of the pupils, the engine returns different types of real-time feedbacks, that depend on the confidence of the analysis process (confident assessment on errors, warning, or reject).
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Keyword:
[INFO.EIAH]Computer Science [cs]/Technology for Human Learning; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; Digital learning; Handwriting recognition; Online handwriting
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URL: https://hal.archives-ouvertes.fr/hal-03448357/document https://hal.archives-ouvertes.fr/hal-03448357/file/GREC_CamReady.pdf https://hal.archives-ouvertes.fr/hal-03448357
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Does the Goal Matter? Emotion Recognition Tasks Can Change the Social Value of Facial Mimicry towards Artificial Agents
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In: ISSN: 2296-9144 ; Frontiers in Robotics and AI ; https://hal.archives-ouvertes.fr/hal-03409678 ; Frontiers in Robotics and AI, Frontiers Media S.A., 2021, 8, ⟨10.3389/frobt.2021.699090⟩ (2021)
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Dicta-Sign–LSF–v2 : étendre le traitement automatique des langues des signes grâce à un corpus de dialogue en Langue des Signes
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In: Minority languages spoken or signed and inclusive spaces ; https://hal.archives-ouvertes.fr/hal-03450108 ; Minority languages spoken or signed and inclusive spaces, 2021, Asynchronous online event, France (2021)
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Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project
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In: ISSN: 1938-4122 ; Digital Humanities Quarterly ; https://hal.archives-ouvertes.fr/hal-03166755 ; Digital Humanities Quarterly, Alliance of Digital Humanities, 2021, Special Issue on AudioVisual Data in DH, 15 (1) ; http://digitalhumanities.org/dhq/ (2021)
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