Estimating Visual Focus of Attention in Multiparty Meetings using Deep Convolutional Neural Networks

Author:

Otsuka Kazuhiro1,Kasuga Keisuke2,Köhler Martina3

Affiliation:

1. NTT Corporation, Atsugi-shi, Japan

2. Nagaoka University of Technology & NTT Communication Science Labs, Nagaoka-shi, Japan

3. University of Tübingen & NTT Communication Science Labs, Tuebingen, Germany

Publisher

ACM

Reference44 articles.

1. Convolutional Neural Networks for Speech Recognition

2. Shima Alizadeh and Azar Fazel. 2017. Convolutional Neural Networks for Facial Expression Recognition. CoRR Vol. abs/1704.06756 (2017). arxiv: 1704.06756 http://arxiv.org/abs/1704.06756 Shima Alizadeh and Azar Fazel. 2017. Convolutional Neural Networks for Facial Expression Recognition. CoRR Vol. abs/1704.06756 (2017). arxiv: 1704.06756 http://arxiv.org/abs/1704.06756

3. Michael Argyle. 1988. Bodily Communication -- 2nd ed. Routledge London and New York. Michael Argyle. 1988. Bodily Communication -- 2nd ed. Routledge London and New York.

4. Michael Argyle and Mark Cook. 1976. Gaze and Mutual Gaze. Cambridge University Press Cambridge Eng.; New York. Michael Argyle and Mark Cook. 1976. Gaze and Mutual Gaze. Cambridge University Press Cambridge Eng.; New York.

5. Noise-enhanced convolutional neural networks

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