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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2022-10-21
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Heart Detection Method in Non-Contrast Chest CT Image and Application to Calcium Scoring
Yuki Sugimoto, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2022-31
Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcificati... [more] PRMU2022-31
MI 2022-07-09
(Primary: On-site, Secondary: Online)
Disease segmentation of 3D diagnostic images -- Disease detection using CT data --
Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-47
Disease detection from medical images reinforce the judgment of doctors and medical engineers, and is expected to play a... [more] MI2022-47
PRMU, IPSJ-CVIM 2022-03-10
Online Online Medical Image Captioning with Information based on Medical Concepts
Riku Tsuneda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2021-64
Image Captioning for medical images is expected to augment the judgment of doctors and serve as a second opinion. Medica... [more] PRMU2021-64
PRMU, IPSJ-CVIM 2022-03-11
Online Online Spatial attention and parallel convolution for Real-time segmentation
Yuki Sugimoto, Masaki Aono (TUT) PRMU2021-86
Semantic segmentation is an image recognition technique that classifies all objects and backgrounds by pixel in images. ... [more] PRMU2021-86
MI 2021-07-09
Online Online Severity determination of chest CT data in tuberculosis patients using deep learning
Tetsuya Asakawa, Riku Tsuneda (TUT), Kazuki Simizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2021-19
The purpose of this study is to make accurate estimates for five labels (infiltrative, focal, tuberculoma, miliary, and ... [more] MI2021-19
MI 2021-03-16
Online Online Tuberculosis in Chest CT Image Analysis based on multi-axis projections using Deep learning
Tetsuya Asakawa, Masaki Aono (Toyohashi Univ) MI2020-64
The purpose of this research is to make accurate estimates for the six labels (Left affected, Right affected, Light ple... [more] MI2020-64
PRMU, IPSJ-CVIM 2021-03-04
Online Online Automatic 3D Mesh Generation by Using Extended Attentive Normalization
Yuta Fukatsu, Masaki Aono (TUT) PRMU2020-69
In recent years, research on conditional image generation using GANs of the type where conditions are given by class lab... [more] PRMU2020-69
PRMU, IPSJ-CVIM 2021-03-04
Online Online Saliency Detection by Extended Attention and its Application to Image Synthesis
Ryosuke Yamauchi, Masaki Aono (TUT) PRMU2020-71
In recent years, there has been much research on Style Transfer and Saliency Detection.
Style Transfer is a task to sy... [more]
PRMU, IPSJ-CVIM 2021-03-04
Online Online Leveraging Human Pose Estimation Model for Sports Video Classification
Soichiro Sato, Masaki Aono (TUT) PRMU2020-76
In this paper, we propose a motion classification method of sports videos based on a posture estimation model.Specifical... [more] PRMU2020-76
PRMU, IPSJ-CVIM 2021-03-04
Online Online VQA for Medical Image Data based on Image Feature Extraction and Fusion
Hideo Umada, Masaki Aono (TUT) PRMU2020-81
In recent years, there has been a remarkable growth in research on deep learning in the fields of computer vision and na... [more] PRMU2020-81
PRMU, IPSJ-CVIM 2021-03-05
Online Online Semantic Segmentation based on MobileNet Extended with FPN
Yuki Sugimoto, Masaki Aono (TUT) PRMU2020-91
Semantic Segmentation is attracting attention in autonomous driving, but high-precision models require a huge amount of ... [more] PRMU2020-91
PRMU 2019-10-18
Tokyo   Partial Shape Similarity Search using Topology of 3D CAD Models
Wataru Iwabuchi, Masaki Aono (TUT) PRMU2019-40
In recent years, 3D models are used in various fields. Accordingly, the amount of 3D shape models available on the Inter... [more] PRMU2019-40
PRMU, BioX 2019-03-18
Tokyo   Reali-time Object Detection based on SSD
Yuya Yamashige, Masaki Aono (TUT) BioX2018-60 PRMU2018-164
In recent years, attention has been paid to developing object detection methods from images, based on deep learning. In ... [more] BioX2018-60 PRMU2018-164
IE, ITE-ME, ITE-AIT [detail] 2018-10-19
Nagasaki   Compositional Image Attention with Tree LSTMs for Grounding Textual Phrases
Ko Endo, Masaki Aono (TUT), Eric Nichols (HRI-JP) IE2018-45
 [more] IE2018-45
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
Fukuoka   Semantic Segmentation of Aerial Images by Using Fully Convolutional Network Incorporating Dilated Convolution
Takafumi Taguchi, Masaki Aono (TUT) PRMU2018-54 IBISML2018-31
 [more] PRMU2018-54 IBISML2018-31
DE, IPSJ-DBS, IPSJ-IFAT 2018-09-13
Tokyo   Estimation of Twitter Emotion Intensity by Using Transfer Learning of Feature Tensors and Emotion Lexicon
Shinnosuke Himeno, Masaki Aono (TUT) DE2018-11
 [more] DE2018-11
PRMU, BioX 2018-03-19
Tokyo   3D Indoor Scene Classification using Images Reflecting the Depth Density of Voxel Group
Kazuma Hamada, Masaki Aono (Toyohashi Univ. of Tech.) BioX2017-68 PRMU2017-204
Along with the spread of VR technology, demand for applications using scenes composed of 3D data is increasing and the n... [more] BioX2017-68 PRMU2017-204
PRMU 2017-10-12
Kumamoto   Online Human Action Detection using Deep Spatio-temporal Transformation
Yukihide Takagaki, Masaki Aono (TUT) PRMU2017-68
In this research, we describe online human action detection using Convolutional Neural Network which inputs skeleton dat... [more] PRMU2017-68
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-16
Tokyo   Time Series Classification based on Image Encoding Considering Anisotropy
Shinya Iwamuro, Masaki Aono (TUT) PRMU2017-56 IBISML2017-28
 [more] PRMU2017-56 IBISML2017-28
PRMU, BioX 2017-03-21
Aichi   Three-dimensional shape retrieval based in voxel representation using LSTM and CNN
Ryo Miyagi, Masaki Aono (TUT) BioX2016-67 PRMU2016-230
In recent years, with the spread of 3D scanners, VR headsets, etc., there is an increasing demand for recognition and re... [more] BioX2016-67 PRMU2016-230
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