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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CS, CQ, SAT (Joint) |
2025-04-25 14:55 |
Yamaguchi | KDDI restortion hole 201B/C room | A Study of Individual Evaluation Characteristics of Quality Degradation Factors in Video Streaming Services Noriko Yoshimura (NTT), Takanori Hayashi (HIT), Yuichiro Urata, Noritsugu Egi, Kazuhisa Yamagishi (NTT) |
(To be available after the conference date) [more] | |
| MI | 2025-03-19 13:36 |
Kagawa | Kagawa International Conference Hall (Primary: On-site, Secondary: Online) |
Anomaly Region Detection by Progressive Mask Refinement using Diffusion Models Hiroki Tobise (NIT), Masahiro Hashimoto (Keio Univ.), Toshiaki Akashi (Juntendo Univ.), Hidekata Hontani (NIT)  MI2024-50 |
In this paper, we propose an unsupervised anomaly detection method using a diffusion model. The diffusion model encodes ... [more] | MI2024-50 pp.13-16 |
| MI | 2025-03-19 13:48 |
Kagawa | Kagawa International Conference Hall (Primary: On-site, Secondary: Online) |
An Investigation of Labeled Data Ratio in Uncertainty-Aware Semi-Supervised Learning for Multi-Organ Segmentation Guotai Dong, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ.) MI2024-51 |
Medical image segmentation plays a crucial role in disease diagnosis and treatment planning. With the advancement of dee... [more] | MI2024-51 pp.17-20 |
| MI | 2025-03-19 16:45 |
Kagawa | Kagawa International Conference Hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Study on Deep Learning Reconstruction of MR Images based on signal space partitioning Hagiwara Taiki, Ouchi Shohei (NITOC) MI2024-60 |
In MRI, the amount of acquired signals is sometimes reduced and image reconstruction is performed from a small number of... [more] | MI2024-60 pp.52-55 |
| MI | 2025-03-19 16:45 |
Kagawa | Kagawa International Conference Hall (Primary: On-site, Secondary: Online) |
Automatic Reconstruction of Panoramic X-ray Images Using CT Images Ichi Hasegawa, Kento Morita (Mie Univ.), Junya Hirota, Daisuke Takeda, Takumi Hasegawa, Masaya Akashi (Kobe Univ.), Tetsushi Wakabayashi (Mie Univ.) MI2024-64 |
Panoramic X-ray imaging is a common diagnostic method in dentistry and is useful for diagnosing various conditions affec... [more] | MI2024-64 pp.68-71 |
| MI | 2025-03-19 16:45 |
Kagawa | Kagawa International Conference Hall (Primary: On-site, Secondary: Online) |
[Short Paper]
Region-of-Interest Segmentation in DCE-MR images for TIC Analysis of Salivary Gland Tumors Kei Saito, Keita Takeda, Misa Sumi, Tomoya Sakai (Nagasaki Univ.) MI2024-68 |
The objective of this study is to provide diagnostic support for salivary gland tumors using dynamic contrast-enhanced M... [more] | MI2024-68 pp.84-85 |
| MI | 2025-03-20 11:26 |
Kagawa | Kagawa International Conference Hall (Primary: On-site, Secondary: Online) |
[Short Paper]
Pial Surface based Electric field regression with Neural Networks for Transcranial Magnetic Stimulation Toyohiro Maki, Tatsuya Yokota, Akimasa Hirata, Hontani Hidekata (Nitech) MI2024-82 |
Transcranial Magnetic Stimulation (TMS) is a non-invasive neuromodulation technique that induces an electric field in th... [more] | MI2024-82 pp.126-127 |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-18 11:20 |
Shiga | (Primary: On-site, Secondary: Online) |
EEG classification system by fine-tuning with unrelated data Takuma Iboshi, Takuya Kitamura (NITT) IBISML2024-58 |
Medical diagnosis by EEG using large-scale pre-trained image classification models shows high generalization ability eve... [more] | IBISML2024-58 pp.8-14 |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-18 11:40 |
Shiga | (Primary: On-site, Secondary: Online) |
IBISML2024-59 |
How to efficiently handle data that is becoming enormous along with the accelerating information society (i.e., how to a... [more] | IBISML2024-59 pp.15-22 |
| LOIS | 2025-03-18 16:15 |
Okinawa | Miyakojima-Shi Chuo-Komin-Kan | On-demand Digital Twin for Smart Aquaculture Ryo Harada, Daiki Togawa, Kazuki Fukae, Tetsuo Imai, Kenichi Arai, Hirofumi Miyajima, Mitsuru Hattori (Nagasaki Univ.), Hideyuki Takahashi (Tohoku Gakuin Univ.), Toru Kobayashi (Nagasaki Univ.) LOIS2024-78 |
To address the challenges faced by aquaculture, which is gaining attention as a sustainable industry, aqua colonies have... [more] | LOIS2024-78 pp.38-43 |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-19 09:30 |
Shiga | (Primary: On-site, Secondary: Online) |
SVGEditBench V2: A Benchmark for Instruction-based SVG Editing Kunato Nishina, Yusuke Matsui (UTokyo) PRMU2024-52 |
Image editing technology of raster images is rapidly advancing, while research on vector graphics editing rarely exists.... [more] | PRMU2024-52 pp.28-40 |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-19 09:45 |
Shiga | (Primary: On-site, Secondary: Online) |
Neural Real-Time RGB-D SLAM in Dynamic Environments Qinyuan Zhou, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2024-57 |
Neural Simultaneous Localization and Mapping (SLAM) is a fundamental task in computer vision and robotics, enabling appl... [more] | PRMU2024-57 pp.64-69 |
| LOIS | 2025-03-19 13:50 |
Okinawa | Miyakojima-Shi Chuo-Komin-Kan | Object Grasp Recognition Service to Prevent Elderly People from Forgetting Where They Left Objects Toshinori Shindo, Takuya Nakata, Sinan Chen (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Kiyoshi Yasuda, Masahide Nakamura (Kobe Univ.) LOIS2024-87 |
In Japan, the number of older adults and dementia patients is on the rise. They often face the issue of forgetting where... [more] | LOIS2024-87 pp.93-100 |
| LOIS | 2025-03-19 15:45 |
Okinawa | Miyakojima-Shi Chuo-Komin-Kan | Improving Robustness against Rotation of a 3D Structure Estimation Method from an Image at Indoor Environment Kae Nakayama, Junya Morioka, Miho Adachi, Ryusuke Miyamoto (Meiji Univ.) LOIS2024-91 |
We are proposing a method that enables 3D structure estimation of a room based on a segmentation result. The current pr... [more] |
LOIS2024-91 pp.122-127 |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-19 11:10 |
Shiga | (Primary: On-site, Secondary: Online) |
Proposal for Layout Generation in Graduation Albums Using Large Language Models Hiraku Matsuda, Mutsuo Sano (OIT) PRMU2024-58 |
In the production of a graduation album, the layout is created by the layouter and is a very important task in determini... [more] | PRMU2024-58 pp.70-75 |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-19 15:10 |
Shiga | (Primary: On-site, Secondary: Online) |
Learning VQ-VAE for Image Dimensionality Reduction with Local Phase Loss Naoyuki Ichimura (AIST) PRMU2024-61 |
Vector Quantized-Variational AutoEncoders (VQ-VAEs) are a type of deep neural networks designed to learn an approximate ... [more] | PRMU2024-61 pp.88-93 |
| EMCJ, MICT (Joint) |
2025-03-14 11:30 |
Nagasaki | Validation of the Effectiveness of Generating and Automatically Anonymizing Atopic Dermatitis Facial Images Using Generative AI and Vision AI Koichi Ashizaki (RIKEN), Shunji Nishida (iret), Ayaka Mori, Tetsuo Ishikawa, Mikiko Nakanishi, Katsuya Higo, Tamotsu Eguchi (RIKEN), Toma Asaoka, Hironori Tanaka, Hiroki Hirano (iret), Eiryo Kawakami, Kazuhiro Sakurada (RIKEN) MICT2024-64 |
Privacy protection is a crucial consideration in the analysis of facial rashes in patients with atopic dermatitis. Howev... [more] | MICT2024-64 p.17 |
|
| NLP, MSS | 2025-03-13 16:45 |
Okinawa | Miyakojima City Central Community Center | Hierarchical lossless coding of RGB color images based on color difference prediction using CNN predictors Shuichi Tajima, Yoshiki Nimi, Seiya Kushi (Chukyo Univ.), Hideharu Toda (Tohoku Bunka Gakuen Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) MSS2024-79 NLP2024-120 |
We are researching a hierarchical lossless coding method for RGB color images that uses a cellular neural network to pre... [more] | MSS2024-79 NLP2024-120 pp.64-68 |
| NLP, MSS | 2025-03-13 16:45 |
Okinawa | Miyakojima City Central Community Center | Hierarchical Lossless Compression of Bayer RAW Images Using Predictors Based on Cellular Neural Networks Ryota Ogawa, Shuichi Tajima, Seiya Kushi (Chukyo Univ.), Hideharu Toda (Tohoku Bunka Gakuen Univ.), Taishi Iriyama (Saitama Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) MSS2024-80 NLP2024-121 |
Digital cameras generally have image sensors with a Bayer-pattern color filter array. The RAW images captured by these i... [more] | MSS2024-80 NLP2024-121 pp.69-73 |
| NLP, MSS | 2025-03-13 16:45 |
Okinawa | Miyakojima City Central Community Center | Image Recostruction by FISTA with Preconditioner Shoto Hiki, Yuichi Tanji (Kagawa Univ.) MSS2024-87 NLP2024-128 |
CT system irradiates an object with X-rays and reconstructs a tomographic image based on the projection data obtained fr... [more] | MSS2024-87 NLP2024-128 pp.100-103 |
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