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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] | 2024-06-06 14:10 |
Niigata | Nigata University (Ekinan-Campus "TOKIMATE") | A trial for recognizing traffic scene using a Vision-Language Model Kazuto Nakagawa, Kazuma Nishimura, Osamu Sugiyama, Masahiro Tada (Kindai Univ.) |
For the societal implementation of autonomous driving systems, it is essential that these systems understand the behavio... [more] | |
| IT, EMM | 2024-05-31 09:30 |
Chiba | Chiba University (Nishi-Chiba Campus) | A Reversible Image Processing Method Using Data Hiding for OpenEXR Images Anna Yamaguchi, Shoko Imaizumi (Chiba Univ.)  IT2024-8 EMM2024-8 |
In this paper, we propose a reversible image processing method for OpenEXR images to achieve either brightness increase/... [more] | IT2024-8 EMM2024-8 pp.37-42 |
| SAT, MICT, WBS, RCC (Joint) [detail] |
2024-05-17 13:35 |
Miyazaki | KITEN Convention hall (Miyazaki) (Primary: On-site, Secondary: Online) |
Improving Functions and Data Processing Methods of Finger-Dexterity Measuring System for the Elderly Yuki Kashihara, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) SAT2024-11 MICT2024-11 |
With the progression of aging in modern Japanese society, the increase in the number of dementia patients has become a s... [more] | SAT2024-11 MICT2024-11 pp.54-59 |
| PRMU, IPSJ-CVIM | 2024-05-16 15:10 |
Tokyo | (Primary: On-site, Secondary: Online) |
A Proposal for Generating Incorrect Pairs for the CLIP Learning based on Image Clustering Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.) PRMU2024-5 |
We proposed a novel method for generating incorrect pairs to enhance learning performance in CLIP's contrastive learning... [more] | PRMU2024-5 pp.24-29 |
| SIS | 2024-03-15 10:20 |
Kanagawa | Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
Enhancement of Hazy Image Using Convex Combination Coefficients of White, Black, and Pure Color Mashiho Mukaida, Haruhito Suzuki (Yamaguchi Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2023-56 |
Many enhancement methods for the visibility improvement of hazy image have been proposed. However, the conventional meth... [more] | SIS2023-56 pp.61-66 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 11:00 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Pixels to Precision: Passing into the Future of Super-Resolution Mastery Supatta Viriyavisuthisakul (PIM) IMQ2023-42 IE2023-97 MVE2023-71 |
Single Image Super-Resolution (SISR) involves reconstructing low-resolution images to enhance perceptual quality. Recent... [more] | IMQ2023-42 IE2023-97 MVE2023-71 p.165 |
| MI | 2024-03-04 12:52 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Uncertainty-Boosted COVID-19 Lesion Segmentation Method from Chest CT Images Tianyu Yang, Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Kensaku Mori (Nagoya Univ) MI2023-74 |
The spread of COVID-19 pandemic has severely threatened global health in recent years. Deep learning based method for CO... [more] | MI2023-74 pp.137-140 |
| MI | 2024-03-04 14:12 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Anomaly Detection for Lung CT Images Using VQ-VAE with SVDD Zhihui Gao, Ryohei Nakayama, Aikiyoshi Hizukuri (Ritsumeikan Univ.), Shoji Kido (Oosaka Univ.) MI2023-80 |
In this study, VQ-VAE with SVDD for anomaly detection in CT images was constructed by introducing a support vector data ... [more] | MI2023-80 pp.158-159 |
| EMM | 2024-03-02 14:00 |
Overseas | Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency | [Poster Presentation]
Classification of AI generated images by sparse coding Daishi Tanaka, Michiharu Niimi (KIT) EMM2023-89 |
In recent years, advancements in generative AI technologies have made it increasingly challenging for human vision to di... [more] | EMM2023-89 pp.1-6 |
| PRMU, IPSJ-CVIM | 2023-05-18 13:30 |
Aichi | (Primary: On-site, Secondary: Online) |
Image Harmonization Using Diffusion Model for Perceptual Quality Improvement Taito Naruki, Norimichi Ukita (TTI) PRMU2023-1 |
Image harmonization is the task of eliminating the discomfort of color tones that occurs when images are composited. How... [more] | PRMU2023-1 pp.1-5 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-19 14:30 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
Study of finger-vein images improvement for noncontact finger vein recognition Kazuya Nakano (Seikei Univ.), Masahiro Ishikawa (Saitama Medical Univ.), Hiroyuki Suzuki (Gunma Univ.) SIP2023-16 BioX2023-16 IE2023-16 |
Currently, we are studying noncontact authentication of finger vein. However, the light other than near infrared light f... [more] | SIP2023-16 BioX2023-16 IE2023-16 pp.74-76 |
| AP | 2023-05-12 15:30 |
Okinawa | Okinawa Gender Equality Center (Primary: On-site, Secondary: Online) |
On Classification Accuracy Improvement of Polarimetric Scattering Component Decomposition for PolSAR data Hiroyoshi Yamada, Masato Kawada, Ryoichi Sato (Niigata Univ.) AP2023-23 |
In polarimetric SAR (PolSAR) data analysis, one of popular techniques to extract target features is methods of polarimet... [more] | AP2023-23 pp.80-85 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 14:05 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A Study on Image Inpainting Considering Local Appearance Consistency Tianxiang Zhang, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2022-77 IE2022-154 MVE2022-107 |
This paper proposes an image inpainting method which can preserve the local appearance consistency of reconstructed imag... [more] | IMQ2022-77 IE2022-154 MVE2022-107 pp.296-301 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 15:40 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Improvement of cross-attention modules for image captioning using pixel-wise semantic information Zhihao Chen, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2022-84 IE2022-161 MVE2022-114 |
Most of image captioning models have attention modules, and the module outputs an attention map (weighted feature map) f... [more] | IMQ2022-84 IE2022-161 MVE2022-114 pp.333-338 |
| NC, MBE (Joint) |
2023-03-15 10:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
A study on improvement of sound image localization accuracy in transaural using moving sound images Taisei Esaki, Susumu Kuroyanagi (NIT) MBE2022-69 |
Various studies have been conducted to improve the accuracy of sound image localization in auditory displays to enable h... [more] | MBE2022-69 pp.55-58 |
| MI | 2023-03-06 13:15 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80 |
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] | MI2022-80 pp.38-39 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 15:30 |
Hokkaido | Hokkaido Univ. | A Study on Adaptation Methods for Universal Deep Image Compression Koki Tsubota, Kiyoharu Aizawa (UTokyo) ITS2022-56 IE2022-73 |
In this study, we tackle universal deep image compression, which aims to compress images in arbitrary domains such as li... [more] | ITS2022-56 IE2022-73 pp.77-82 |
| SeMI, SeMI (Joint) |
2023-01-19 15:25 |
Tokushima | Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
Multimodal Image Inpainting Using Camera Imagery and WiFi RSSI Cheng Chen, Takayuki Nishio (Tokyo Tech), Mehdi Bennis (Oulu Univ.), Jihong Park (Deakin Univ.) SeMI2022-83 |
This study demonstrates the feasibility of image inpainting using both visual information and radio frequency (RF) signa... [more] | SeMI2022-83 pp.51-53 |
| MSS, SS | 2023-01-11 15:50 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Composite SVM in HSI Classification Tamura Akito, Kitamura Takuya (NIT) MSS2022-61 SS2022-46 |
In this paper, we propose an improved method of composite support vector machines for hyper-spectral image classificatio... [more] | MSS2022-61 SS2022-46 pp.96-100 |
| AI | 2022-09-16 15:45 |
Shizuoka | (Primary: On-site, Secondary: Online) |
An image restoration method for lecture videos with projected lecture slides Yuma Ito, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-32 |
The lecturers can use their body movements and gestures in the lectures with slides displayed using a projector in the r... [more] | AI2022-32 pp.79-84 |
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