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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2024-03-14 14:50 |
Kanagawa | Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
Improvement of Detection Accuracy for Detection of Calcification Regions in Dental Panoramic Radiographs Using LVAT Naoki Ikeda, Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital)  SIS2023-50 |
Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. The sudden... [more] | SIS2023-50 pp.27-32 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 11:00 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
From 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 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 15:20 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Efficient regularizer for 4D light field image denoising based on graph-learning Rino Yoshida (TUS), Kazuya Kodama (NII), Gene Cheung (York Univ.), Takayuki Hamamoto (TUS) IMQ2023-56 IE2023-111 MVE2023-85 |
Advanced 3D visual media as promising technology often require 4D light fields composed of dense multi-view images for a... [more] | IMQ2023-56 IE2023-111 MVE2023-85 pp.235-240 |
| NC, MBE (Joint) |
2024-03-12 13:55 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Identification of filamentous fungi by segmentation models using consistency regularization and classmix Taiga Shimizu (Yamanashi Univ.), Waleed Asghar (Oklahoma State Univ.), Ryota Kataoka, Motonobu Hattori (Yamanashi Univ.) NC2023-57 |
In agriculture, soil diagnosis is necessary to protect the environment. However, since current diagnostic methods are no... [more] | NC2023-57 pp.81-86 |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 12:45 |
Hokkaido | Hokkaido Univ. | 3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization Norifumi Kawabata (Kanazawa Gakuin Univ.) ITS2023-67 IE2023-56 |
Sparse coding techniques, which reproduce and represent images with as few combinations as possible from a small amount ... [more] | ITS2023-67 IE2023-56 pp.112-117 |
| CCS, NLP | 2023-06-09 15:00 |
Tokyo | Tokyo City Univ. | Bifurcation diagram reconstruction using trace norm regularization Kota Shiozawa, Isao Tokuda (Ritsumeikan Univ.) NLP2023-26 CCS2023-14 |
A method for reconstructing the bifurcation diagram using time series is introduced. In this method, we employ two machi... [more] | NLP2023-26 CCS2023-14 pp.57-60 |
| NC, MBE (Joint) |
2023-03-14 10:20 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Study on a robust and accurate deep learning method Shoma Noguchi, Shogo Taneda, Yukari Yamauchi (Nihon Univ.) NC2022-101 |
In deep learning, there are many hyperparameters that must be determined in advance, and it is known that the accuracy v... [more] | NC2022-101 pp.54-59 |
| NC, MBE (Joint) |
2023-03-15 10:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Proposal of Node Fusion in Sparse DenseNet Shogo Taneda, Shoma Noguchi, Yukari Yamauchi (Nihon Univ.) NC2022-110 |
Gao Huang et al. proposed a deep learning model called DenseNet. This deep learning model successfully prevents informat... [more] | NC2022-110 pp.105-108 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 09:00 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Toward Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi (NTT/Kyoto Univ.), Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai (NTT), Hisashi Kashima (Kyoto Univ.) PRMU2022-58 IBISML2022-65 |
This paper investigates methods for improving generative data augmentation for deep learning. Generative data augmentati... [more] | PRMU2022-58 IBISML2022-65 pp.1-6 |
| SIS | 2022-12-05 15:10 |
Osaka | (Primary: On-site, Secondary: Online) |
Application of Adversarial Training in Detection of Calcification Regions from Dental Panoramic Radiographs Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2022-28 |
Calcification regions that are a sign of vascular diseases may be observed on dental panoramic radiographs. The finding ... [more] | SIS2022-28 pp.26-31 |
| SIS, ITE-BCT | 2022-10-14 10:00 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Robust Semi-Supervised Learning for Noisy Labels Using Early-learning Regularization and Weighted Loss Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2022-16 |
Training Deep Neural Networks (DNNs) on datasets with incorrect labels (label noise) is an important challenge. In the p... [more] | SIS2022-16 pp.27-32 |
| MIKA (3rd) |
2022-10-14 10:40 |
Niigata | Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Performance Improvement of TOA Estimation for Multipath Waves Using Compressed Sensing in PN Correlation Method Shotaro Sakakibara, Nobuyoshi Kikuma, Kunio Sakakibara, Yoshiki Sugimoto (NITech) |
In recent years, location information of mobile terminals has become necessary to improve security in wireless communica... [more] | |
| PN | 2022-08-29 10:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Compensation Performance of DNN-based Nonlinear Equalizer for Optical Communication Systems Jinya Nakamura, Kai Ikuta, Daisuke Motai, Moriya Nakamura (Meiji Univ.) PN2022-10 |
We investigated and compared the performances of three-layer-ANN- and four-layer-DNN-based nonlinear equalizers used for... [more] | PN2022-10 pp.10-14 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Additive Cumulative Link Model with Total Variation Regularization Hiroya Iyori, Shin Matsushima (Univ. of Tokyo) NC2022-8 IBISML2022-8 |
In many fields such as medical research and social science, data on an ordinal scale are often obtained. Problems in wh... [more] |
NC2022-8 IBISML2022-8 pp.69-75 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 16:15 |
Online | Online | A Note on Realizing Adversarial Defense Based on Regularization of Multi-stage Squeeze-and-Excitation Features Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Regularizing deep features is a common adversarial defense method. However, the existing methods do not further explore ... [more] | |
| PRMU | 2021-12-17 15:15 |
Online | Online | Task-independent redundancy reduction method using regularization for efficient neural network training Charvi Vitthal, Florian Beye, Koichi Nihei, Hayato Itsumi (NEC) PRMU2021-58 |
Neural networks (NNs) are widely used for various applications in recent years. However, it is difficult for the NN to l... [more] | PRMU2021-58 pp.188-194 |
| SIP | 2021-08-23 14:00 |
Online | Online | [Invited Talk]
Block-Sparse Estimation using Optimal Block Structure Hiroki Kuroda (Ritsumeikan Univ.) SIP2021-29 |
This talk presents a convex optimization based block-sparse estimation method which is effective even when concrete bloc... [more] | SIP2021-29 p.11 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-18 13:00 |
Online | Online | F0 estimation of speech based on l2-norm regularized TV-CAR analysis Keiichi Funaki (Univ. of the Ryukyus) SP2021-2 |
Linear Prediction (LP) is the most successful speech analysis in speech processing, including speech coding implemented ... [more] |
SP2021-2 pp.7-12 |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-03 17:00 |
Online | Online | Quadratic Surface Clustering Based on Hyperslab Projection and Its Application to Color Artifact Removal Tatsuya Ohtsubo, Seisuke Kyochi (The Univ. of Kitakyushu) SIP2021-5 BioX2021-5 IE2021-5 |
Color artifact removal based on local color nuclear norm (LCNN) has been proposed conventionally. LCNN relies on the fac... [more] | SIP2021-5 BioX2021-5 IE2021-5 pp.21-26 |
| SIS, ITE-BCT | 2020-10-01 13:40 |
Online | Online | Image Regularization with Morphological Gradient Priors Using Optimization of Multiple Structuring Elements for Each Pixel Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2020-15 |
In image regularization, a method for restoring an image has been proposed in which a morphological gradient is used as ... [more] | SIS2020-15 pp.29-34 |
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