ITE Technical Group Submission System
Conference Schedule
Online Proceedings
[Sign in]
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 68  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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]
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] 2022-02-21
15:35
Online online Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT.
Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki (Tokyo Tech)
Based on a 3D massive-training artificial neural network (MTANN) combined with a Hessian-based ellipse enhancer, a small... [more]
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]
 Results 1 - 20 of 68  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format


[Return to Top Page]

[Return to ITE Web Page]


The Institute of Image Information and Television Engineers (ITE), Japan