Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICTSSL, CAS |
2023-01-26 11:15 |
Tokyo |
TBD (Primary: On-site, Secondary: Online) |
On Image Recognition Neural Networks and Polynomial Approximation of Images Jiahang Chang, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-66 ICTSSL2022-30 |
In this report, we present a convolutional neural network that we have built ourselves for our research. Then, we discus... [more] |
CAS2022-66 ICTSSL2022-30 pp.23-27 |
HIP |
2022-12-22 15:15 |
Miyagi |
Research Institute of Electrical Communication (Primary: On-site, Secondary: Online) |
An investigation of appearance ratio and imagery properties of aphantasia Junichi Takahashi (Fukushima Univ.), Godai Saito (Tohoku Univ.), Kazufumi Omura (Yamagata Univ.), Daichi Yasunaga (Kanazawa Univ.), Shinichiro Sugimura (Hiroshima Univ.), Shuichi Sakamoto (Tohoku Univ.), Tomoyasu Horikawa (NTT), Jiro Gyoba (Shokei Gakuin Univ.) HIP2022-62 |
Aphantasia is a condition in which people with a normal perception have difficulty constructing imagery. By using an onl... [more] |
HIP2022-62 pp.25-30 |
PRMU |
2022-12-15 10:30 |
Toyama |
Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Single Image Raindrop Removal Using a Non-local Operator and Feature Maps in the Frequency Domain Shinya Ezumi, Masaaki Ikehara (Keio Univ.) PRMU2022-34 |
High-quality raindrop removal is desired for outdoor image processing systems as well as for acquiring good-looking imag... [more] |
PRMU2022-34 pp.13-18 |
RCC, ITS, WBS |
2022-12-14 11:05 |
Shiga |
Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
Vehicle Route Detection Network Using Continuous Roadside Units Gunhee Cho, Tao Yu, Jin Nakazato, Kei Sakaguchi (TokyoTech) WBS2022-55 ITS2022-31 RCC2022-55 |
For the purpose of establishing a digital twin society, this paper proposes an object recognition network architecture u... [more] |
WBS2022-55 ITS2022-31 RCC2022-55 pp.114-119 |
CS, IE, IPSJ-AVM, ITE-BCT [detail] |
2022-11-25 11:30 |
Aichi |
Nagoya Institute of Technology (Primary: On-site, Secondary: Online) |
Privacy-Preserving Facial Identification using Lensless Imaging Kohsuke Yamamura, Yoshihiro Maeda (TUS), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (TUS) CS2022-59 IE2022-47 |
Lensless imaging is a method of obtaining optically encoded images without using a lens.In this imaging method, reconstr... [more] |
CS2022-59 IE2022-47 pp.63-66 |
PRMU |
2022-09-14 11:00 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Disease and severity classification of coffee leaf images by global low-level feature aggregation network Takuhiro Okada, Satoshi Iizuka, Kazuhiro Fukui (Univ. of Tsukuba) PRMU2022-14 |
Coffee leaf disease is one of the most important problems in coffee production. It is very important in the coffee produ... [more] |
PRMU2022-14 pp.25-30 |
MVE |
2022-09-09 11:00 |
Tokyo |
(Primary: On-site, Secondary: Online) |
An Image Recognition Model of Danger Objects for Diverse Clients using Federated Learning Yasuhiro Nitta, Ryo Yonetani, Maki Sugimoto, Hideo Saito (Keio Univ.) MVE2022-15 |
A disabled person can have cognition of danger objects during walking, which might not coincide with a non-disabled pers... [more] |
MVE2022-15 pp.26-31 |
ICD, SDM, ITE-IST [detail] |
2022-08-10 15:15 |
Online |
|
[Invited Talk]
A CMOS Image Sensor and an AI Accelerator for Realizing Edge-Computing-Based Surveillance Camera Systems Fukashi Morishita, Norihito Kato, Satoshi Okubo, Takao Toi, Mitsuru Hiraki, Sugako Otani, Hideaki Abe, Yuji Shinohara, Hiroyuki Kondo (Renesas Electronics) SDM2022-52 ICD2022-20 |
This paper presents a CMOS image sensor and an AI accelerator to realize surveillance camera systems based on edge compu... [more] |
SDM2022-52 ICD2022-20 pp.83-86 |
ICD, SDM, ITE-IST [detail] |
2022-08-10 16:00 |
Online |
|
IC with Integrated Imager and Ultra-Low Latency All-Digital In-Imager 2D Binary Convolutional Neural Network Accelerator for Image Classification Ruizhi Wang, Cheng-Hsuan Wu, Makoto Takamiya (The Univ. of Tokyo) SDM2022-53 ICD2022-21 |
In the field of real-time image recognition, the computing latency of convolutional neural network become an issue. In t... [more] |
SDM2022-53 ICD2022-21 pp.87-92 |
IN, CCS (Joint) |
2022-08-04 10:20 |
Hokkaido |
Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Consideration of the structure of CNN models with high image classification performanc Mizuki Dai, Kenya Jinno (Tokyo City University) CCS2022-27 |
In recent years, Transformer-based models such as ViT have shown remarkable performance in image recognition using Deep ... [more] |
CCS2022-27 pp.6-9 |
CCS, NLP |
2022-06-09 15:20 |
Osaka |
(Primary: On-site, Secondary: Online) |
Speeding-up by Reduction of Processing Paths in Octave Convolution Akito Yoshikawa, Hidehiro Nakano (Tokyo City Univ.) NLP2022-6 CCS2022-6 |
Octave Convolution (OctConv), one of the convolutional neural network methods, can also improve accuracy while reducing ... [more] |
NLP2022-6 CCS2022-6 pp.27-30 |
IMQ |
2022-05-27 14:00 |
Tokyo |
|
Animal Video Retrieval System Using Image Recognition Chinatsu Watanabe (Kogakuin Univ.), Mayu Kaneko (Mizuho Research & Technologies), Atsumu Harada, Naiwala P. Chandrasiri (Kogakuin Univ.) IMQ2022-2 |
In general, the search function in a video sharing service site evaluates the relevance of a search query to the title, ... [more] |
IMQ2022-2 pp.7-11 |
SC |
2022-05-27 09:55 |
Online |
Online |
Considerations for Identifying Machine Learning Models Naoto Kiribuchi, Ryohei Suzuki, Nami Ashizawa (NTT), Tetsushi Ohki, Hiroshi Mineno, Masakatsu Nishigaki (Shizuoka Univ.) SC2022-2 |
As a part of considerations for identifying machine learning models, we experimented whether we can identify multiple di... [more] |
SC2022-2 pp.7-12 |
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] |
2022-05-20 16:20 |
Kumamoto |
Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Visualization of Important Features for Classifier Decisions using Deep Image Synthesis Yushi Haku, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) SIP2022-28 BioX2022-28 IE2022-28 MI2022-28 |
It is difficult to know the basis for the decisions of machine learning models, and it is necessary to provide a highly ... [more] |
SIP2022-28 BioX2022-28 IE2022-28 MI2022-28 pp.144-149 |
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] |
2022-05-20 16:40 |
Kumamoto |
Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) SIP2022-29 BioX2022-29 IE2022-29 MI2022-29 |
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] |
SIP2022-29 BioX2022-29 IE2022-29 MI2022-29 pp.150-155 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-10 15:50 |
Online |
Online (Zoom) |
Player Tracking Using Uniform Number Constraints in Basketball Videos Takuya Okamoto, Yasuhiko Kitamura (Kwansei Gakuin Univ.) IMQ2021-32 IE2021-94 MVE2021-61 |
We can track multiple players from basketball game videos using image recognition and Multi Object Tracking technologie... [more] |
IMQ2021-32 IE2021-94 MVE2021-61 pp.115-120 |
WIT, IPSJ-AAC |
2022-03-08 10:20 |
Online |
Online |
The Prototype of a Real Time Mobile Braille Pattern Detection Utilizing Machine Learning for a Self-study Tool for Visually Impaired People Jevri Tri Ardiansah, Okazaki Yasuhisa (Saga University) WIT2021-45 |
The capacity to read and write is called literacy. Literacy is necessary for a good education, a good job, and a high qu... [more] |
WIT2021-45 pp.12-17 |
WIT, IPSJ-AAC |
2022-03-09 15:40 |
Online |
Online |
Development of meal support system for the visually impaired based on food recognition using image analysis Rei Sasaki, Hirokazu Seki (CIT) WIT2021-59 |
The purpose of this study is to develop a system to assist the visually impaired to eat alone. We devised an image analy... [more] |
WIT2021-59 pp.92-96 |
NLC |
2022-03-07 11:05 |
Online |
Online |
Sightseeing spot detection and automatic generation of explanations using Flickr Hanami Ookada (Hiroshima City Univ.), Aya Ishino (HUE), Toshiyuki Takezawa (Hiroshima City Univ.) NLC2021-30 |
Using travel photos with latitude and longitude information in Flickr and image recognition technology, we conducted a s... [more] |
NLC2021-30 pp.13-18 |
MICT, EMCJ (Joint) |
2022-03-04 10:05 |
Online |
Online |
A study on silent word recognition using various sensors Masaya Kusamoto, Kenko Ota (NIT) MICT2021-104 |
The aim of this study is to clarify the effectiveness of silent word recognition using multiple sensors. When a visible ... [more] |
MICT2021-104 pp.19-24 |