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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCC, ISEC, IT, WBS | 2024-03-13 09:40 |
Osaka | Osaka Univ. (Suita Campus) | An improvement method and security evaluation for the method of protecting ownership using digital watermark Dung Ta Anh, Hidema Tanaka (NDA)  IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58 |
Since developing high-performance AI models requires significant time and cost, it is common to customize publicly avail... [more] | IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58 pp.5-11 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 09:12 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Investigation of the Feature Space of Sign Language Gesture for Acquiring Unknown Sign Language Words Taiki Yamada, Inoue Katsufumi (Osaka Metropolitan Univ.), Partha Prathim Roy (IIT), Masakazu Iwamura, Michifumi Yoshioka (Osaka Metropolitan Univ.) PRMU2023-52 |
(To be available after the conference date) [more] | PRMU2023-52 pp.7-12 |
| MI | 2021-03-16 09:45 |
Online | Online | MI2020-66 |
In this paper, we propose a method for automatically classifying COVID-19 cases from CT images of lung fields. Currently... [more] | MI2020-66 pp.82-86 |
| NC, MBE (Joint) |
2021-03-03 13:50 |
Online | Online | Analysis of deep convolutional neural network texture representation using Portilla-Simoncelli statistics Yusuke Hamano, Hayaru Shouno (UEC) NC2020-48 |
Recently, DCNN has achieved significant success in the field of computer vision. It is suggested that the DCNN, which ar... [more] | NC2020-48 pp.31-36 |
| PRMU | 2019-10-18 14:50 |
Tokyo | From Cats to Cars: A Data Set Generation Strategy for U-net based Autonomous Driving Hiroki Hiraoka, Atsushi Imiya (Chiba Univ.) PRMU2019-38 |
The deep convolutional neural networks (DCNNs) require data to supervise the network structures. A semi-automatic da... [more] |
PRMU2019-38 pp.35-40 |
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| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 10:10 |
Okayama | PRMU2019-22 MI2019-41 |
(To be available after the conference date) [more] | PRMU2019-22 MI2019-41 pp.57-61 |
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| NC, MBE (Joint) |
2019-03-06 09:55 |
Tokyo | University of Electro Communications | A study of inner feature continuity of the VGG model Toya Teramoto, Hyaru Shouno (UEC) NC2018-88 |
Deep Convolutional Neural Network (DCNN) is a successful model in the field of computer vision such like image classifi... [more] | NC2018-88 pp.239-244 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2017-11-07 14:55 |
Kumamoto | Kumamoto-Kenminkouryukan Parea | DCNN Training with Short Bit Length Format Considering Loss of Trailing Digits Shin-ichi O'uchi, Hiroshi Fuketa, Ryousei Takano (AIST) CPSY2017-41 |
Loss of trailing digits in training deep convolutional neural network (DCNN) is considered to implement training with a ... [more] | CPSY2017-41 pp.7-12 |
| CPSY, RECONF, VLD, IPSJ-SLDM, IPSJ-ARC [detail] | 2017-01-23 16:50 |
Kanagawa | Hiyoshi Campus, Keio Univ. | VLD2016-78 CPSY2016-114 RECONF2016-59 |
(To be available after the conference date) [more] | VLD2016-78 CPSY2016-114 RECONF2016-59 pp.49-54 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2016-03-07 16:10 |
Okinawa | An automatic calorie estimation of food images on a smartphone Koichi Okamoto, Keiji Yanai (UEC) IMQ2015-44 IE2015-143 MVE2015-71 |
(To be available after the conference date) [more] | IMQ2015-44 IE2015-143 MVE2015-71 pp.91-96 |
|
| NC, MBE | 2015-03-16 10:55 |
Tokyo | Tamagawa University | Feature Analysis for Diffuse Lung Disease with Deep Convolutional Neural Network Satoshi Suzuki, Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MBE2014-163 NC2014-114 |
The computer aided diagnosis (CAD) system is desired to develop for supporing physicians to diagnose the diffuse lung di... [more] | MBE2014-163 NC2014-114 pp.259-264 |
| PRMU, IPSJ-CVIM, MVE [detail] | 2015-01-22 15:50 |
Nara | Gathering and Analyzing Material Images on the Web with DCNN features Wataru Shimoda, Keiji Yanai (UEC) PRMU2014-89 MVE2014-51 |
(To be available after the conference date) [more] | PRMU2014-89 MVE2014-51 pp.67-72 |
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