IEEE International Conference on Automatic Face & Gesture Recognition and Workshops最新文献

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16th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2021, Jodhpur, India, December 15-18, 2021 第16届IEEE自动人脸和手势识别国际会议,FG 2021,焦特布尔,印度,2021年12月15日至18日
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引用次数: 1
Message from the General and Program Chairs FG 2020 2020年FG总主席和项目主席的讲话
IEEE International Conference on Automatic Face & Gesture Recognition and Workshops Pub Date : 2020-01-01 DOI: 10.1109/FG47880.2020.00150
J. Wachs, Sergio Escalera, J. Cohn, A. A. Salah, Arun Ross
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引用次数: 0
Quantificational Subordination as Anaphora to a Function 作为功能回指的数量从属关系
IEEE International Conference on Automatic Face & Gesture Recognition and Workshops Pub Date : 2019-08-10 DOI: 10.1007/978-3-662-59648-7_4
Matthew Gotham
{"title":"Quantificational Subordination as Anaphora to a Function","authors":"Matthew Gotham","doi":"10.1007/978-3-662-59648-7_4","DOIUrl":"https://doi.org/10.1007/978-3-662-59648-7_4","url":null,"abstract":"","PeriodicalId":91494,"journal":{"name":"IEEE International Conference on Automatic Face & Gesture Recognition and Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85351527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Structure Sensitive Tier Projection: Applications and Formal Properties 结构敏感层投影:应用和形式属性
IEEE International Conference on Automatic Face & Gesture Recognition and Workshops Pub Date : 2019-08-10 DOI: 10.1007/978-3-662-59648-7_3
Aniello De Santo, T. Graf
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引用次数: 29
Undecidability of a Newly Proposed Calculus for CatLog3 CatLog3的一种新微积分的不可判定性
IEEE International Conference on Automatic Face & Gesture Recognition and Workshops Pub Date : 2019-08-10 DOI: 10.1007/978-3-662-59648-7_5
M. Kanovich, S. Kuznetsov, A. Scedrov
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引用次数: 2
A Topos-Based Approach to Building Language Ontologies 基于拓扑的语言本体构建方法
IEEE International Conference on Automatic Face & Gesture Recognition and Workshops Pub Date : 2019-08-10 DOI: 10.1007/978-3-662-59648-7_2
William Babonnaud
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引用次数: 4
Proof-Theoretic Aspects of Hybrid Type-Logical Grammars 混合类型逻辑语法的理论证明
IEEE International Conference on Automatic Face & Gesture Recognition and Workshops Pub Date : 2019-08-10 DOI: 10.1007/978-3-662-59648-7_6
R. Moot, S. Stevens-Guille
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引用次数: 6
A Purely Surface-Oriented Approach to Handling Arabic Morphology 一个纯粹的面向表面的方法来处理阿拉伯形态学
IEEE International Conference on Automatic Face & Gesture Recognition and Workshops Pub Date : 2019-08-10 DOI: 10.1007/978-3-662-59648-7_1
Yousuf Aboamer, M. Kracht
{"title":"A Purely Surface-Oriented Approach to Handling Arabic Morphology","authors":"Yousuf Aboamer, M. Kracht","doi":"10.1007/978-3-662-59648-7_1","DOIUrl":"https://doi.org/10.1007/978-3-662-59648-7_1","url":null,"abstract":"","PeriodicalId":91494,"journal":{"name":"IEEE International Conference on Automatic Face & Gesture Recognition and Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82387609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On the Computational Complexity of Head Movement and Affix Hopping 头部运动和词缀跳跃的计算复杂度研究
IEEE International Conference on Automatic Face & Gesture Recognition and Workshops Pub Date : 2019-08-10 DOI: 10.1007/978-3-662-59648-7_7
Miloš Stanojević
{"title":"On the Computational Complexity of Head Movement and Affix Hopping","authors":"Miloš Stanojević","doi":"10.1007/978-3-662-59648-7_7","DOIUrl":"https://doi.org/10.1007/978-3-662-59648-7_7","url":null,"abstract":"","PeriodicalId":91494,"journal":{"name":"IEEE International Conference on Automatic Face & Gesture Recognition and Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77756047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Improving Viseme Recognition with GAN-based Muti-view Mapping 基于gan的多视图映射改进Viseme识别
Dario Augusto Borges Oliveira, Andréa Britto Mattos, E. Morais
{"title":"Improving Viseme Recognition with GAN-based Muti-view Mapping","authors":"Dario Augusto Borges Oliveira, Andréa Britto Mattos, E. Morais","doi":"10.1109/FG.2019.8756589","DOIUrl":"https://doi.org/10.1109/FG.2019.8756589","url":null,"abstract":"Speech recognition technologies in the visual domain currently can only identify words and sentences in still images. Identifying visemes (i.e., the smallest visual units of spoken text) is useful when there are no language models or dictionaries available, which is often the case for languages besides English; however, it is a challenge, as temporal information cannot be extracted. In parallel, previous works demonstrated that exploring data acquired simultaneously under multiple views can improve the recognition accuracy in comparison to single-view data. For many different applications, however, most of the available audio-visual datasets are obtained from a single view, essentially due to acquisition limitations. In this work, we address viseme recognition in still images and explore the synthetic generation of additional views to improve overall accuracy. For that, we use Generative Adversarial Networks (GANs) trained with synthetic data and map from mouth images acquired in a single arbitrary view to frontal and side views – in which the face is rotated vertically at approximately 30°, 45°, and 60°. Then, we use a state-of-art Convolutional Neural Network for classifying the visemes and compare its performance when training only with the original single-view images versus training with the additional views artificially generated by the GANs. We run experiments using three audiovisual corpora acquired under different conditions (GRID, AVICAR, and OuluVS2 datasets) and our results indicate that the additional views synthesized by the GANs are able to improve the viseme recognition accuracy on all tested scenarios.","PeriodicalId":91494,"journal":{"name":"IEEE International Conference on Automatic Face & Gesture Recognition and Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74020405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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