| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-22
14:00 |
Hokkaido |
Hokkaido Univ. |
Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight
Yusei Horikawa, Makoto Sugaya, Tetsuya Matsumura (Nihon Univ) |
This paper describes an efficient minimum-sized object detection method in high-Resolution images for UAV autonomous fli... [more] |
MMS2023-31 ME2023-51 AIT2023-31
pp.235-238 |
| 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 |
| ME |
2022-07-22
16:20 |
Online |
Online |
Image Classification of Cancer Cells Treated with IRDAptermer
Rahman Rawnak Mim, Yuuka Yamagata, Yoshiro Chuman, Shogo Muramatsu (Niigata Univ.) |
This work evaluates convolutional neural network (CNN)-based image classifiers for determining the effect of a cell memb... [more] |
ME2022-70
pp.23-26 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-19
14:50 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Low-dose CT Denoising Using Deep CNN
Yuta Sadamatsu (KIT), Seiichi Murakami (JGU), Tohru Kamiya (KIT), Li Guangxu (TPU) |
(To be available after the conference date) [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:30 |
Online |
online |
Prediction of Seismic Intensity Distribution Using Neural Networks
Haruki Mitarai, Koyu Mizutani, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki (UTokyo) |
(To be available after the conference date) [more] |
|
| ME |
2022-02-12
10:45 |
Online |
online |
Study on Deep Learning Reconstruction of MRI Complex Images Using Real-value CNN
Itona Fukatsu, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
Application of compressed sensing has been applied to speed up the data acquisition time for MR imaging. In recent years... [more] |
ME2022-7
pp.25-27 |
| IEICE-SDM, IEICE-ICD, IST [detail] |
2021-08-17
14:45 |
Online |
Online |
Image Recognition of HDR Images with Dual Gain CMOS Image Sensor
Takuya Kitamura, Kota Yoshida, Tetsushi Ikeda (Ritsumeikan Univ.), Shinichi Ikenaga, Isao Takayanagi (Brillnics), Shunsuke Okura (Ritsumeikan Univ.) |
High dynamic range (HDR) CMOS image sensors are expected to be used for machine vision applications for recognition unde... [more] |
IST2021-45
pp.41-45 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
13:45 |
Online |
Online |
Redundant Segment Detection and Removal by Clustering of CNN Features in Sequential Video.
Masashi Nishikawa, Atsuo Yoshitaka (JAIST) |
Video taken by ordinary users are used for a variety of purposes. In particular, video that record the photographer's da... [more] |
AIT2021-71
pp.149-152 |
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-28
14:00 |
Online |
Online |
A Study of 3D Ultrasound Volume Reconstruction based on Ultrasound Probe Localization Using Deep Learning
Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA) |
This paper presents an ultrasound (US) volume reconstruction method only from US image sequences using deep learning.
T... [more] |
|
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-29
15:10 |
Online |
Online |
Distant pedestrian detection from nighttime NIR video by moving-region zooming
Atsuki Hiramatsu, Yusuke Kameda (TUS), Hiroshi Ikeoka (Fukuyama Univ.), Takayuki Hamamoto (TUS) |
Highly accurate pedestrian detection technology is required for functions such as automatic emergency braking, which are... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
14:20 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Speaker Identification for Evaluating Speaking Activities in Seminar using Deep Learning
Tomoki Akita, Norimasa Yoshida (Nihon Univ.) |
In seminars, students are expected to participate actively. In this study, we would like to create a system that can me... [more] |
AIT2020-144
pp.313-314 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
11:30 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A High Embedding Capacity Watermarking Technique Based on Regularization for Convolutional Neural Network Model
Han He, Seok Kang, Yuji Sakamoto (Hokkaido Univ.) |
CNN (Convolutional Neural Network) is becoming more and more popular. And pre-trained CNN models can be accessed easily.... [more] |
MMS2020-8 HI2020-8 ME2020-36 AIT2020-8
pp.41-46 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
16:35 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) |
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] |
MMS2020-22 HI2020-22 ME2020-50 AIT2020-22
pp.113-118 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
11:25 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A speech synthesis from electromyography using CNN
Kiyotaka Miyasaka, Yuji sakamoto (Hokkaido Univ.) |
Speech communication can provide various expressions intuitively. However, when communicate with aphonic people or in no... [more] |
MMS2020-28 HI2020-28 ME2020-56 AIT2020-28
pp.163-167 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
13:00 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Video Coding Using Optimal Intra Prediction Mode Estimation by CNN
Ryota Yokoyama, Masahiko Tahara (Waseda Univ.), Heming Sun (Waseda Univ./JST), Masaru Takeuchi (Waseda Univ.), Yasutaka Matsuo (NHK), Jiro Katto (Waseda Univ.) |
These days, efficient video coding is required due to spread of video production and viewing, and high definition video.... [more] |
|
| IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] |
2019-12-06
10:10 |
Iwate |
Aiina Center |
Adversarial Examples for Monocular Depth Estimation CNN
Koichiro Yamanaka, Ryutaroh Matsumoto, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) |
Adversarial examples for classification and object recognition problems using convolutional neural net- works (CNN) have... [more] |
|
| SIP, ME |
2019-11-14
15:10 |
Kumamoto |
Sojo University, Main Campus |
Stroke Analysis for Badminton Game Based on TCN and Stroke Characteristics
Yosuke Kinoshita, Hiroki Takahashi (UEC) |
Although recording and publication of game videos in sports are progressing, analysis of game content is not fully autom... [more] |
ME2019-121
pp.25-28 |
| IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN, ME, IPSJ-AVM [detail] |
2019-09-19
14:10 |
Niigata |
Tokimeito, Niigata University |
Construction of Additional Cooking Order System for Accommodation Buffet
Arata Yokoyama, Taku Okuno (Future Univ Hakodate) |
(To be available after the conference date) [more] |
|
| ME, SIP [detail] |
2016-12-05
15:40 |
Tokyo |
Waseda Univ. |
Pose trend analysis in tennis video based on pose estimation
Ryunosuke Kurose (Keio Univ.), Masaki Hayashi (Recreation lab), Sourou Ishi (Matsudo Orthopaedic Hospital), Asato Okamura (Tsukuba Univ), Yoshimitu Aoki (Keio Univ) |
Recently, demand for sports video analysis is increasing, for example, analysis of players and teams. In this paper, we ... [more] |
ME2016-130
pp.21-24 |