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Sequential and network analyses to describe multiple signal use in captive mangabeys
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In: ISSN: 0003-3472 ; EISSN: 1095-8282 ; Animal Behaviour ; https://hal.archives-ouvertes.fr/hal-03480471 ; Animal Behaviour, Elsevier Masson, 2021, 182, pp.203-226. ⟨10.1016/j.anbehav.2021.09.005⟩ (2021)
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Körpersprachliche Embleme als Prototyp der kurzen Form kommunikativer Äußerungen
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In: Text-, Diskurs- und Kommunikationsforschung. Festschrift für Hartmut Lenk ; https://hal-univ-lyon3.archives-ouvertes.fr/hal-03195114 ; Hans W. GIESSEN et Heinz-Helmut LÜGER (Hrsg.). Text-, Diskurs- und Kommunikationsforschung. Festschrift für Hartmut Lenk, 29, Verlag Empirische Pädagogik, pp.25-40, 2021, Landauer Schriften zur Kommunikations- und Kulturwissenschaft, 978-3-944996-74-5 ; www.vep-landau.de (2021)
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Learning emotions latent representation with CVAE for Text-Driven Expressive AudioVisual Speech Synthesis
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In: ISSN: 0893-6080 ; Neural Networks ; https://hal.inria.fr/hal-03204193 ; Neural Networks, Elsevier, 2021, 141, pp.315-329. ⟨10.1016/j.neunet.2021.04.021⟩ (2021)
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Racial Identity-Aware Facial Expression Recognition Using Deep Convolutional Neural Networks
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In: Applied Sciences; Volume 12; Issue 1; Pages: 88 (2021)
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| 6 |
Two-Stage Recognition and beyond for Compound Facial Emotion Recognition
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In: Electronics ; Volume 10 ; Issue 22 (2021)
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| 8 |
Audiovisual synthesis of expressive speech : modeling of emotions with deep learning ; Synthèse audiovisuelle de la parole expressive : modélisation des émotions par apprentissage profond
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In: https://hal.inria.fr/tel-03079349 ; Informatique [cs]. Université de Lorraine, 2020. Français. ⟨NNT : 2020LORR0137⟩ (2020)
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| 9 |
A sensorimotor control framework for understanding emotional communication and regulation
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In: Research outputs 2014 to 2021 (2020)
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| 10 |
Adaptive 3D Model-Based Facial Expression Synthesis and Pose Frontalization
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In: Sensors ; Volume 20 ; Issue 9 (2020)
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Abstract:
Facial expressions are one of the important non-verbal ways used to understand human emotions during communication. Thus, acquiring and reproducing facial expressions is helpful in analyzing human emotional states. However, owing to complex and subtle facial muscle movements, facial expression modeling from images with face poses is difficult to achieve. To handle this issue, we present a method for acquiring facial expressions from a non-frontal single photograph using a 3D-aided approach. In addition, we propose a contour-fitting method that improves the modeling accuracy by automatically rearranging 3D contour landmarks corresponding to fixed 2D image landmarks. The acquired facial expression input can be parametrically manipulated to create various facial expressions through a blendshape or expression transfer based on the FACS (Facial Action Coding System). To achieve a realistic facial expression synthesis, we propose an exemplar-texture wrinkle synthesis method that extracts and synthesizes appropriate expression wrinkles according to the target expression. To do so, we constructed a wrinkle table of various facial expressions from 400 people. As one of the applications, we proved that the expression-pose synthesis method is suitable for expression-invariant face recognition through a quantitative evaluation, and showed the effectiveness based on a qualitative evaluation. We expect our system to be a benefit to various fields such as face recognition, HCI, and data augmentation for deep learning.
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Keyword:
facial expression recognition; facial expression synthesis; pose frontalization; single view face reconstruction
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URL: https://doi.org/10.3390/s20092578
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| 11 |
Improving the Accuracy of Automatic Facial Expression Recognition in Speaking Subjects with Deep Learning
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In: Applied Sciences ; Volume 10 ; Issue 11 (2020)
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| 12 |
Emotions and Emoticons: Facial Expression Recognition App Accuracy
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| 13 |
Cross-modal emotion recognition and autism-like traits in typically developing children
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| 14 |
Identifying Emotional Expressions: Children's Reasoning About Pretend Emotions of Sadness and Anger
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In: Frontiers in Psychology, 2020, vol. 11, art.núm.602385 ; Articles publicats (D-PS) ; Serrat Sellabona, Elisabet Amadó Codony, Anna Rostán Sánchez, Carles Caparrós Caparrós, Beatriu Sidera Caballero, Francesc 2020 Identifying Emotional Expressions: Children's Reasoning About Pretend Emotions of Sadness and Anger Frontiers in Psychology 11 art.núm.602385 (2020)
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| 15 |
Adquisició del llenguatge i comprensió emocional en infants amb sordesa
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In: Llengua, societat i comunicació = Language, society and communication, 2021, núm. 18, p. 64-79 ; Articles publicats (D-PS) (2020)
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| 17 |
Emotion recognition and aging : comparing a labeling task with a categorization task using facial representations
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Visser, Mandy (R18536). - : Switzerland, Frontiers Research Foundation, 2020
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| 18 |
Communicating with robots: What we do wrong and what we do right in artificial social intelligence, and what we need to do better
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