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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-11 18:20 |
Online |
Online (Zoom) |
Impression Estimation Model for Suit Styles Using CNN Features Kimiaki Shinkai (Kwansei Gakuin Univ.), Iori Tani (Kobe Univ.), Kensuke Tobitani (Univ. of Nagasaki), Miyuki Toga, Noriko Nagata (Kwansei Gakuin Univ.) IMQ2021-69 IE2021-131 MVE2021-98 |
In this study, propose a method for estimating the impressions evoked by the style (texture and shape) of a suit for the... [more] |
IMQ2021-69 IE2021-131 MVE2021-98 pp.312-317 |
MVE |
2021-09-17 11:30 |
Online |
Online |
[Short Paper]
Textile-GAN: Generation of Texture for Woven Pattern Using Generative Adversarial Networks
-- An Application to Impression Estimation Model of Suit Pattern Based on Kansei aspect of Shitsukan -- Eiki Tsumura (Kwansei Gakuin Univ.), Iori Tani (Kobe Univ.), Kensuke Tobitani (Univ. of Nagasaki), Noriko Nagata (Kwansei Gakuin Univ.) MVE2021-11 |
(To be available after the conference date) [more] |
MVE2021-11 pp.19-20 |
MVE |
2021-09-17 14:00 |
Online |
Online |
A CNN model Using Neural Style Features for Predicting Aesthetic Impressions Score Distribution Yuya Ohagi (Kwansei Gakuin Univ.), Kensuke Tobitani (Univ. of Nagasaki), Iori Tani (Kobe Univ.), Sho Hashimoto (Seinan Gakuin Univ.), Noriko Nagata (Kwansei Gakuin Univ.) MVE2021-14 |
In this study, we propose a method for predicting the probability distribution of aesthetic impression scores considerin... [more] |
MVE2021-14 pp.33-37 |
MVE |
2020-09-09 14:00 |
Online |
Online |
Shitsukan Representation Based on Kansei Model Using Neural Style Feature Natsuki Sunda, Iori Tani (Kwansei Gakuin Univ.), Kensuke Tobitani (The Univ. of Nagasaki), Atsushi Takemoto, Yusuke Tani, Noriko Nagata (Kwansei Gakuin Univ.), Nobufumi Morita (Couture Digital) MVE2020-18 |
In this research, we focus on affective texture, which comprises the visual impressions evoked by surface properties, su... [more] |
MVE2020-18 pp.38-43 |
MVE |
2019-08-29 15:30 |
Aichi |
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[Short Paper]
Impression estimation of 3D shape considering the influence of gaze direction DNN using multi-viewpoint image group Keisuke Sakashita, Kensuke Tobitani (Kwansei Gakuin Univ.), Kouichi Taguchi (Chukyo Univ.), Iori Tani, Sho Hashimoto, Kenji Katahira (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.), Noriko Nagata (Kwansei Gakuin Univ.) MVE2019-11 |
To estimate how a three-dimensional shape makes a person feel, a method using the deep neural network with multi-viewpoi... [more] |
MVE2019-11 pp.35-36 |
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