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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 54  /  [Next]  
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
LOIS 2024-03-14
12:05
Okinawa Okinawa Pref Danjyo-Kyoudou-Sankaku Center
(Primary: On-site, Secondary: Online)
3D Structure Estimation of a Room Using only a Monocular Camera to Enhance Reality of Remote Coworking
Junya Morioka, Kento Masaki, Ryusuke Miyamoto (Meiji Univ.) LOIS2023-63
In recent years, the use of web conference tools has increased with the spread of remote work. However, compared to face... [more] LOIS2023-63
pp.90-95
PRMU, IBISML, IPSJ-CVIM 2024-03-04
11:04
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Incorporating Vector Norms into Semantic Segmentation Based on Cross Attentions of Stable Diffusion
Yuichi Miyata, Katsufumi Inoue, Michifumi Yoshioka (Osaka Metropolitan Univ.) PRMU2023-72
(To be available after the conference date) [more] PRMU2023-72
pp.122-127
SIS 2023-12-08
14:10
Aichi Sakurayama Campus, Nagoya City University
(Primary: On-site, Secondary: Online)
Improvement of Multi-task Training for Detection of Calcification Regions in Dental Panoramic Radiographs
Kazuki Iwasaki, Mitsuji Muneyasu, Taito Murano, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2023-43
Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. Detection ... [more] SIS2023-43
pp.105-110
SIS, IPSJ-AVM [detail] 2023-06-15
11:10
Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)
A New Detection Method of Calcification Regions in Dental Panoramic Radiograph and Application of MTL in Its Learning
Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-2
Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] SIS2023-2
pp.7-12
PRMU, IPSJ-CVIM 2023-05-19
09:20
Aichi
(Primary: On-site, Secondary: Online)
Learning static NeRF representations from video using 2D segmentation masks
Takashi Otonari (Tokyo Univ.), Satoshi Ikehata (NII), Kiyoharu Aizawa (Tokyo Univ.) PRMU2023-7
In this paper, we tackle the problem of extracting static backgrounds from videos containing moving objects, such as peo... [more] PRMU2023-7
pp.33-38
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
15:40
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Improvement of cross-attention modules for image captioning using pixel-wise semantic information
Zhihao Chen, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2022-84 IE2022-161 MVE2022-114
Most of image captioning models have attention modules, and the module outputs an attention map (weighted feature map) f... [more] IMQ2022-84 IE2022-161 MVE2022-114
pp.333-338
IN, NS
(Joint)
2023-03-03
11:00
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Unidentified Floating Object Detecting Method in Maritime Environment using Efficient GAN
Hiromu Habuka, Kohta Ohshima (TUMSAT) NS2022-230
(To be available after the conference date) [more] NS2022-230
pp.362-367
PRMU 2022-12-16
14:25
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Investigation for the Importance of Brightness Adjustment in Image Recognition for Water Hyacinth Using Semantic Segmentation
Soma Miyamoto, Hiroki Imamura (Soka Univ.) PRMU2022-49
Water hyacinth, which is abundant in tropical and temperate regions, causes great damage in various fields such as infra... [more] PRMU2022-49
pp.91-94
SIS 2022-12-05
14:50
Osaka
(Primary: On-site, Secondary: Online)
A Method of Automatic Wall Detection from Room Images by Deep Neural Networks
Shunya Shimegi, Kaoru Arakawa (Meiji Univ.) SIS2022-27
In order to design interior renovation easily,a method of automatic wall area detection is proposed using deep neural ne... [more] SIS2022-27
pp.21-25
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 2022-12-05
17:00
Osaka
(Primary: On-site, Secondary: Online)
Improvement of Visual Odometry Based on Suitable and Restricted Feature Point Extraction
Junfeng Xue, Miho Adachi, Ryusuke Miyamoto (Meiji Univ.) SIS2022-33
Accurate localization is indispensable for autonomous moving. When a camera is an external sensor, visual odometry can b... [more] SIS2022-33
pp.56-61
MI 2022-09-15
14:00
Kanagawa
(Primary: On-site, Secondary: Online)
Unsupervised Cell Detection for Suppression of Background Information in Cytology
Keita Takeda, Kazuki Matsuo, Kohei Fujiwara, Eiji Mitate, Tomoya Sakai (Nagasaki Univ.) MI2022-57
(To be available after the conference date) [more] MI2022-57
pp.35-38
PRMU 2022-09-14
16:15
Kanagawa
(Primary: On-site, Secondary: Online)
Data Augmentation with Style Transfer for Fossil Image Segmentation
Akihiro Waza (Osaka Metropolitan Univ.), Yuya Inamura (Osaka Prefecture Univ.), Katsufumi Inoue, Michifumi Yoshioka, Toshihiro Yamada (Osaka Metropolitan Univ.) PRMU2022-17
Fossils are extremely important materials in evolutionary biology and earth science. However, it is necessary to have sp... [more] PRMU2022-17
pp.43-48
SIS, IPSJ-AVM 2022-06-09
13:40
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
Junction Detection and Recognition Based on Results of Feature Matching Computed by SuperGlue
Kohei Saito, Hiroaki Sudo, Kazufumi Honda, Marin Wada, Yuriko Ueda, Yuki Yuda, Miho Adachi, Ryusuke Miyamoto (Meiji Univ.) SIS2022-3
We attempt to actualize a novel visual navigation scheme
that strongly depends on results of semantic segmentation.
To... [more]
SIS2022-3
pp.12-17
SIS, IPSJ-AVM 2022-06-09
14:30
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
Orientation Control at An Intersection Based on Semantic Segmentation for Visual navigation
Kazufumi Honda, Kouhei Saito, Hiroaki Sudo, Yuki Yuda, Yuriko Ueda, Marin Wada, Miho Adachi, Ryusuke Miyamoto (Meiji Univ.) SIS2022-5
We attempt to actualize a novel visual navigation scheme that strongly depends on results of semantic segmentation. The ... [more] SIS2022-5
pp.24-29
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
10:40
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
SIP2022-19 BioX2022-19 IE2022-19 MI2022-19 n this paper, GAN learning was performed using a dataset of live-action pig images taken in the previous year to generat... [more] SIP2022-19 BioX2022-19 IE2022-19 MI2022-19
pp.97-102
CCS 2022-03-27
16:05
Hokkaido RUSUTSU RESORT HOTEL & CONVENTION
(Primary: On-site, Secondary: Online)
Range-Equivariant Convolution for Spherical Projection-based Segmentation of LiDAR Point Clouds
Hidetaka Marumo, Takashi Matsubara (Osaka Univ) CCS2021-49
In autonomous driving, LiDAR point clouds segmentation has attracted much attention. For efficiency and ease of design, ... [more] CCS2021-49
pp.78-83
PRMU, IPSJ-CVIM 2022-03-11
16:10
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
pp.163-168
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
15:35
Online Online Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT.
Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki (Tokyo Tech) ITS2021-33 IE2021-42
Based on a 3D massive-training artificial neural network (MTANN) combined with a Hessian-based ellipse enhancer, a small... [more] ITS2021-33 IE2021-42
pp.49-54
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