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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 5 of 5  /   
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   [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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