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All Technical Committee Conferences  (All Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 74  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ME, SIP, TOKAI 2022-12-07
10:50
Aichi  
(Primary: On-site, Secondary: Online)
[Short Paper] 3D Facial Recognition for Genetic Studies based on PointNet++
Kazuma Okada, Takuma Terada, Jiaqing Liu (Ritsumeikan Univ.), Tomoko Tateyama (Fujita Health University), Ryosuke Kimura (Ryukyu Univ.), Yen Wei Chen (Ritsumeikan Univ.)
(To be available after the conference date) [more]
ME, SIP, TOKAI 2022-12-07
13:35
Aichi  
(Primary: On-site, Secondary: Online)
Skeleton Estimation for Swing based on Deep Model by Introducing Articulation Constraints into Training
Atsuki Sakata, Shogo Kihira, Nobutaka Shimada (Ritsumeikan Univ.), Yuki Nagano, Masahiki Ueda (SRI)
(To be available after the conference date) [more]
ME, SIP, TOKAI 2022-12-07
15:00
Aichi  
(Primary: On-site, Secondary: Online)
Comparison of gazing points and gaze prediction of midfielders in soccer training -- for professional and college student soccer players --
Ryo Isa, Kyosuke Horio, Tsubasa Hirakawa, Takayoshi yamashita, Hironobu Fujiyoshi (Chubu Univ.)
(To be available after the conference date) [more]
IIEEJ, AIT 2022-10-30
14:50
Online on line [Invited Talk] Advances in Image Editing Techniques with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba)
In this presentation, I will introduce how image editing techniques have been developed through deep learning. The metho... [more] AIT2022-175
p.13
IIEEJ, AIT 2022-10-30
16:00
Online on line A Trial of Recognition of Electronic Parts by Deep-Learning for Efficient Recycling
Yihong Tang, Tomonori Izumi (Ritsumeikan Univ.)
In order to improve material-recycling of disposed electronic appliances, we aim to develop a system to analyze and cate... [more] AIT2022-177
pp.19-22
IIEEJ, AIT 2022-10-31
11:00
Online on line Along with the increase in the feeding rate of the pets such as dogs and cats, the amount of time people spend together ... [more] AIT2022-183
pp.45-48
ME 2022-07-22
16:50
Online Online Deep Learning based Compressed Sensing Image Reconstruction Using Multiple Signal Under-sampling Pattern
Masaki Shibui, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.)
CS-MRI, which is an application of compressed sensing (CS) to MR image acquisition, can reconstruct MR images from a sma... [more] ME2022-71
pp.27-29
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-19
16:10
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
[Invited Talk] Image and Video Restoration with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba)
In this talk, I will introduce techniques for restoring black-and-white images and videos with high accuracy using deep ... [more]
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
09:40
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
User identification on Walking by Deep Learning Based on 3-axis Acceleration after Coordinate Transformation of Smartphone
Pengfei Yang, Qun Yang, Yuji Watanabe (Nagoya City Univ.)
In this paper, we first transform the 3-axis acceleration data of smart phone, which is left in our laboratory, from the... [more]
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
11:30
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Implementation of a Lightweight Automatic Speech Recognition System at the Edge
Haotian Tan, Junichi Akita (Kanazawa Univ.)
Automatic speech recognition (ASR) on the cloud has been widely adopted and has demonstrated satisfactory performance. W... [more] IST2022-23 ME2022-63
pp.111-114
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
16:20
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Visualization of Important Features for Classifier Decisions using Deep Image Synthesis
Yushi Haku, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.)
It is difficult to know the basis for the decisions of machine learning models, and it is necessary to provide a highly ... [more]
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
16:40
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.)
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more]
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
17:00
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Deformable registration of 3D medical images with Deep Residual UNet
Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba)
(To be available after the conference date) [more]
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
13:28
Online Online Style-invariant representations and frame-aware constraints for manga face image clustering
Shunta Komatsu (TUS), Ryosuke Furuta (UTokyo), Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra)
Character recognition in manga is an important task to improve the usability of e-comics through recommendation systems ... [more] AIT2022-78
pp.153-156
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
10:30
Online Online Using Deep Learning to Generate Water Effects for 2D Animation
Zhaolou Liang, Masaki Abe, Taichi Watanabe (Tokyo Univ of Technology)
In 2D animation effects, hand-drawn drawings and 3D simulations are used. Hand-drawn images have a high artistic and des... [more] AIT2022-112
pp.283-284
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
13:50
Online Online An Experimental Study on Estimating Residual Quantity of Foodstuff based on Deep Learning using 3D Model
Hiromu Takata, Syuhei Sato, Shangce Gao, Zheng Tang (Univ. Of Toyama)
With the recent development of deep learning techniques, many image recognition methods have been proposed for various o... [more] AIT2022-147
pp.393-394
HI, IEICE-HIP, ASJ-H, VRPSY [detail] 2022-02-28
09:45
Online on line Estimation of speech emotional intensity model using impression ratings
Megumi Kawase, Minoru Nakayama (Tokyo Tech)
We used deep learning to estimate emotional intensity from speech. In our previous study, we considered emotional intens... [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
16:45
Online online A Note on Disentanglement Using Deep Generative Model Based on Variational Autoencoder -- Introduction of Regularization Losses Based on Metrics of Disentangled Representation --
Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we study disentangled representation learning using a deep generative model based on Variational Autoenco... [more] MMS2022-19 ME2022-44 AIT2022-19
pp.97-102
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
11:00
Online online Illustration author style translation using SailormoonRedraw data
Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui (UTokyo), Naohiro Yanase (BOOK WALKER), Kiyoharu Aizawa (UTokyo)
The author characteristics of illustrations can be divided into two elements: "what to draw" and "how to draw". The latt... [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
12:45
Online online Regularizing Generative Adversarial Networks with Internal Representation of Generators
Yusuke Hara, Toshihiko Yamasaki (UTokyo)
In training generative adversarial networks, maintaining the criteria of the discriminator stably is crucial to training... [more]
 Results 1 - 20 of 74  /  [Next]  
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