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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Interactive Design System Presenting Candidate Solutions Appealing to User's Sensibility by Image Generative AI Nagisa Sawada, Akira Hara, Tomoko Kajiyama (Hiroshima City Univ.), Shin'ichi Satoh (NII) |
We propose an interactive design system that optimizes the color scheme of a bouquet. The optimization is performed by I... [more] | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Creating cover images using characteristic words from online novels and image generative AI Yuki Ishida, Tomoko Kajiyama (Hiroshima City Univ.), Shin'ichi Satoh (NII) |
Because many web novels do not have cover images that intuitively convey the content to readers, it is difficult to disc... [more] | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Relationships between product package colors gazed by potential buyers and purchasing motivations Atsushi Furuichi, Tomoko Kajiyama, Akira Hara (Hiroshima City Univ.), Shin'ichi Satoh (NII) |
In purchasing activities of potential customers, to estimate their feelings or preferences based on their gaze informati... [more] | |
| HCS | 2021-01-24 11:40 |
Online | Online | Recognizing detailed smile intensity changes for QOL estimation Taichi Nakamura, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ), Shinichi Satou (NII)  HCS2020-59 |
This paper introduces a novel method for recognizing smile toward the use of QOL (Quality Of Life) estimation. Facial ... [more] |
HCS2020-59 pp.39-44 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2020-11-17 14:25 |
Online | Online | Energy-Efficient ECG Signals Outlier Detection Hardware Using a Sparse Robust Deep Autoencoder Naoto Soga, Shimpei Sato, HIroki Nakahara (Tokyo Tech) VLD2020-17 ICD2020-37 DC2020-37 RECONF2020-36 |
Advancements in portable electrocardiographs have allowed electrocardiogram (ECG) signals to be recorded in everyday lif... [more] | VLD2020-17 ICD2020-37 DC2020-37 RECONF2020-36 pp.36-41 |
| MVE | 2020-09-09 11:35 |
Online | Online | On modelling viewer sentiment of social media videos for attractive computing Marc A. Kastner, Shin'ichi Satoh (NII) MVE2020-14 |
An understanding of human perception and sentiment can help with multimedia tasks like video recommendations. Having a m... [more] | MVE2020-14 pp.21-26 |
| PRMU, IPSJ-CVIM | 2020-03-17 15:15 |
Kyoto | (Cancelled but technical report was issued) |
Applicability of Television Archives to the Support for Memory Loss Aiming at Risk and Disaster Prevention Norio Katayama, Hiroshi Mo, Shin'ichi Satoh (NII) PRMU2019-95 |
Since large-scale disasters and complicated crimes are increasing recently, it is crucial to keep the awareness of risk ... [more] | PRMU2019-95 pp.187-189 |
| HWS, VLD [detail] | 2020-03-04 09:55 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
A Pin-Pair Routing Method for Length Difference Reduction in Set-Pair Routing Kunihiko Wada, Shimpei Sato, Atsushi Takahashi (TokyoTech) VLD2019-95 HWS2019-68 |
In this paper, we propose a Routing method that aims to reduce total wire length and wire length difference for Set-Pair... [more] | VLD2019-95 HWS2019-68 pp.7-12 |
| HWS, VLD [detail] | 2020-03-04 16:25 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
Machine Learning Based Lithography Hotspot Detection Method and Evaluation Hidekazu Takahashi, Shimpei Sato, Atsushi Takahashi (Tokyo Tech) VLD2019-106 HWS2019-79 |
As VLSI device feature sizes are getting smaller and smaller, layout design has become more important to keep the yield... [more] |
VLD2019-106 HWS2019-79 pp.71-76 |
| MI | 2020-01-29 10:15 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Analysis of disease classification and musculoskeletal anatomy using medical images and radiology reports in a large-scale medical image database Shuhei Honda, Yoshito Otake (NAIST), Masaki Takao (Osaka Univ.), Eiji Aramaki, Shuntaro Yada, Yuta Hiasa (NAIST), Kento Aida, Shinichi Sato (NII), Akihiro Nishie (Kyushu Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2019-69 |
Recently, the environment for the analysis of large databases, such as the large-scale medical image database, have been... [more] | MI2019-69 pp.19-22 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-22 16:55 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | A Comparison of Filter for Convolutional Neural Network towards Hardware Implementation Kosuke Akimoto, Youki Sada, Shimpei Sato, Hiroki Hakahara (Tokyo Tech) VLD2019-64 CPSY2019-62 RECONF2019-54 |
Convolutional neural networks have high recognition accuracy in computer vision task, and many of the learned filters ar... [more] | VLD2019-64 CPSY2019-62 RECONF2019-54 pp.61-66 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-22 17:20 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | Many Universal Convolution Cores for Ensemble Sparse Convolutional Neural Networks Ryosuke Kuramochi, Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (Titech) VLD2019-65 CPSY2019-63 RECONF2019-55 |
A convolutional neural network (CNN) is one of the most successful neural networks and widely used for computer vision t... [more] | VLD2019-65 CPSY2019-63 RECONF2019-55 pp.67-72 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-22 17:45 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | An FPGA Implementation of Monocular Depth Estimation Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) VLD2019-66 CPSY2019-64 RECONF2019-56 |
Among a lot of image recognition applications, Convolutional Neural Network (CNN) has gained high accuracy and increasin... [more] | VLD2019-66 CPSY2019-64 RECONF2019-56 pp.73-78 |
| PRMU | 2019-12-20 10:30 |
Oita | Basic Study and Application of Discrimination Problem of Classifiers Michiya Abe (UTokyo/NII), Shin'ichi Satoh (NII) PRMU2019-56 |
We proposed discrimination problem of classifiers, which aims to discriminate two classifiers are same in the sense of... [more] |
PRMU2019-56 pp.61-67 |
|
| VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-14 09:40 |
Ehime | Ehime Prefecture Gender Equality Center | FPGA implementation of ISA-based sparse CNN using Wide-SIMD Akira Jinguji, Shimpei Sato, Hiroki Nakahara (Titech) RECONF2019-37 |
Convolutional Neural Network (CNN) achieves high recognition performance in image recognition, and is expected to be app... [more] | RECONF2019-37 pp.9-14 |
| VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-15 16:10 |
Ehime | Ehime Prefecture Gender Equality Center | Analysis of databases used for hot spot test cases Hiroki Ogura, Hidekazu Takahashi, Sinpei Sato, Atsushi Takahashi (Tokyo Tech) VLD2019-52 DC2019-76 |
With the miniaturization of semiconductor circuit patterns, the importance of photolithography has increased. In the sta... [more] | VLD2019-52 DC2019-76 pp.191-196 |
| RECONF | 2019-09-20 11:40 |
Fukuoka | KITAKYUSHU Convention Center | Accurate Pedestrian Detection in Thermal Images for FPGA Ryosuke Kuramochi, Masayuki Shimoda, Youki Sada, Shimpei Sato, Hiroki Nakahara (titech) RECONF2019-26 |
Since thermal cameras can detect the heat of objects, they can be used even if there is no light. Therefore, object de... [more] |
RECONF2019-26 pp.31-36 |
| RECONF | 2019-05-09 16:10 |
Tokyo | Tokyo Tech Front | A CNN-based Classifier for a Digital Spectrometer on a Radio Telescope Hiroki Nakahara, Shimpei Sato (Titech) RECONF2019-19 |
[more] | RECONF2019-19 pp.103-108 |
| RECONF | 2019-05-10 10:00 |
Tokyo | Tokyo Tech Front | An FPGA Implementation of the Semantic Segmentation Model with Multi-path Structure Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) RECONF2019-10 |
Since the convolutional neural network has a high-performance recognition accuracy, it is expected to implement variou... [more] |
RECONF2019-10 pp.49-54 |
| PRMU, BioX | 2019-03-17 16:45 |
Tokyo | Trend Analysis of TV Content on Natural Disasters based on Multimedia Data Analytics Norio Katayama, Hiroshi Mo, Shin'ichi Satoh (NII) BioX2018-47 PRMU2018-151 |
In the last century, television had been an important source of public information. However its role has been reduced w... [more] | BioX2018-47 PRMU2018-151 pp.109-112 |
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