| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| 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] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:00 |
Online |
online |
Domain Incremental Leaning with Adaptive Loss Functions
Takumi Kawashima (UTokyo), Go Irie, Daiki Ikami (NTT), Kiyoharu Aizawa (UTokyo) |
During domain incremental learning of image classification task, the distribution of images continually change, and mode... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:15 |
Online |
online |
Towards Universal Deep Image Compression
Koki Tsubota (UTokyo), Hiroaki Akutsu (Hitachi), Kiyoharu Aizawa (UTokyo) |
In this paper, we investigate deep image compression towards universal usage. In image compression, it is desirable to b... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
15:05 |
Online |
online |
A Note on Personalized Saliency Prediction Based on User Similarity Considering Object Information in Images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a personalized saliency map (PSM) prediction method using a small amount of gaze data based on user ... [more] |
MMS2022-26 ME2022-51 AIT2022-26
pp.181-186 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
10:15 |
Online |
online |
Classification of User's Device Possession Position and Behavior by Using Deep Metric Learning
Rui Kitahara, Lifeng Zhang (Kyutech) |
With the widespread use of smartphones, there have been efforts to classify human behavior using built-in sensors. Howev... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
14:40 |
Online |
online |
A Study on Object Detection in Omnidirectional Images Using Deep Learning
Yasuyuki Ishida, Toshio Ito (SIT) |
A minimum sensor configuration is desired for a popular automatic vehicle. In this study, an omnidirectional camera with... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
16:45 |
Online |
online |
A Note on Accurate Distress Classification Using Deep Learning Considering Confidence in Attention map
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a note on accurate distress classification using deep learning considering confidence in attention m... [more] |
MMS2022-33 ME2022-58 AIT2022-33
pp.371-376 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
17:00 |
Online |
online |
A Note on Distress Detection based on Deep Learning with Hierarchical Multi-Scale Attention Mechanism for Supporting Maintenance of Subway Tunnels
Saya Takada, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In maintenance of transportation infrastructures, advanced support technologies that can reduce the burden on engineers ... [more] |
MMS2022-34 ME2022-59 AIT2022-34
pp.377-381 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
13:15 |
Online |
online |
Compressive Sensing MR Reconstruction Using Generative Adversarial Network and Fresnel Transform of Images
Shinya Abe, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
In recent years, there has been several researches on reconstruction methods using deep learning, which can significantl... [more] |
MMS2022-37 ME2022-62 AIT2022-37
pp.393-396 |
| BCT, IEEE-BT |
2022-02-17
13:00 |
Online |
Online |
Autoencoder-based Pilot Pattern Design for CDL Channels
Yuta Yamada, Tomoaki Ohtsuki (Keio Univ.) |
In the pilot-based channel estimations, a large number of pilot signals enable an improvement in the channel estimation ... [more] |
BCT2022-13
pp.1-4 |
| ME |
2021-12-13
15:20 |
Online |
online |
Automatic Generation of Viewpoint Change Video Using Consistent Regularized Generative Adversarial Networks
Kento Otsu (Ritsumeikan Univ.), Masataka Seo (Osaka Institute of Technology Osaka), Yen-Wei Chen (Ritsumeikan Univ.) |
Gaze plays an important role in conversation. However, in a video call system using a personal computer or the like, it ... [more] |
ME2021-96
pp.33-35 |
| BCT, IEICE-SIS |
2021-10-07
15:05 |
Online |
online |
A Method for Generating Pseudo-Captured Images to Evaluate the Performance of Data Embedding Techniques to Printed Images Using Mobile Devices
Masahiro Yasuda, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) |
A data-embedding technique to printed images has been proposed. In this technique, the embedded data is retrieved from t... [more] |
|
| BCT, IEICE-SIS |
2021-10-08
10:00 |
Online |
online |
[Tutorial Lecture]
The Past and The Future of Explainable AI Techniques
Yoshitaka Kameya (Meijo Univ.) |
Machine learning models of high predictive performance, such as deep neural networks and ensemble models, now play a cen... [more] |
|