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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
17:20
Okinawa
(Primary: On-site, Secondary: Online)
An Enhanced Privacy-Preserving Scheme for Federated Learning of Vision Transformer without Model Performance Degradation
Rei Aso, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2023-80 SIP2023-127 SP2023-62
Federated learning is a learning method for training models over multiple participants without directly sharing their ra... [more] EA2023-80 SIP2023-127 SP2023-62
pp.115-120
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
14:00
Hokkaido Hokkaido Univ. Fine-tuning Model for Diagnosis of Autism Spectrum Disorder Using fMRI Data
Sae Yoshihara, Takuya Kitamura (NITT) ITS2023-71 IE2023-60
In this paper, we propose and evaluate novel classification models generated by fine-tuning a pre-trained image classifi... [more] ITS2023-71 IE2023-60
pp.135-140
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-26
15:58
Kanagawa Keio Univ. (Hiyoshi Campus)
Tomohiro Hayase (CMVL), Sacha Braun (L'X), Itsuki Orito (Cluster) PRMU2023-50
(To be available after the conference date) [more] PRMU2023-50
pp.56-61
SIP 2023-08-07
12:50
Osaka Osaka Univ. (Suita) Convention Center
(Primary: On-site, Secondary: Online)
An Extension of Image Encryption for Vision Transformer Considering Privacy Protection
Haiwei Lin, Shoko Imaizumi (Chiba Univ.), Kiya Hitoshi (Tokyo Metropolitan Univ) SIP2023-46
In this paper, we propose an extended framework of access control for Vision Transformer (ViT).
The previous study acc... [more]
SIP2023-46
pp.1-6
SIP 2023-08-07
13:10
Osaka Osaka Univ. (Suita) Convention Center
(Primary: On-site, Secondary: Online)
A Perceptual Collation Method for Color Halftone Images Using Vision Transformer
Daiki Fujikawa, Shoko Imaizumi, Takahiko Horiuchi (Chiba Univ.) SIP2023-47
We propose an automatic collation method based on human perception in this paper.
The collation target of the propose... [more]
SIP2023-47
pp.7-12
SIS, IPSJ-AVM [detail] 2023-06-15
11:35
Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)
Detection of Calcification Regions from Dental Panoramic Radiograph Based on Semantic Segmentation Using Transformers
Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-3
Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] SIS2023-3
pp.13-18
WIT, IPSJ-AAC 2023-03-23
09:40
Online Online Mouth shape recognition for speech scene of patients with intractable neurological diseases
Yuki Gondo, Yuya Nakamura, Takeshi Saitoh (kyutech), Kazuyuki Itoh (NRCPD) WIT2022-24
We are working on mouth shape recognition, which is the basic technology for the development of mouth-shape character me... [more] WIT2022-24
pp.27-31
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
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
11:05
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
On the Effectiveness of Formula-Driven Supervised Learning for Medical Image Tasks
Ryuto Endo, Shuya Takahashi, Eisaku Maeda (TDU) PRMU2022-71 IBISML2022-78
Deep learning for image information processing often uses manually maintained natural image data. However, these data ha... [more] PRMU2022-71 IBISML2022-78
pp.71-75
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
11:25
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Binarization of Vision Transformer with Scaling Factors
Shun Sato, Shun Sawada, Hidefumi Ohmura, Kouichi katsurada (TUS) PRMU2022-83 IBISML2022-90
1bit neural network optimization is an optimization technique that achieves a significant increase in computational spee... [more] PRMU2022-83 IBISML2022-90
pp.134-139
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
17:00
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Evaluation of Spatial Transformer Network with Vision Transformer
Yoshiharu Iwasaki (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2022-91 IBISML2022-98
Spatial Transformer is a module that performs spatial transformation of input images or the feature maps. In our researc... [more] PRMU2022-91 IBISML2022-98
pp.163-168
EMM 2023-03-02
13:00
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] Influence of Data Hiding for Transformer Encoder of ViT Using DM-QIM
Shuntaro Fukuoka, Shoko Imaizumi (Chiba Univ.) EMM2022-68
In this paper, we evaluate the influence of data hiding for vision transformer (ViT) models. Specifically, we embed a pa... [more] EMM2022-68
pp.7-12
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
16:20
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Collaborative Intelligence for Transformer-Based AI Systems
Monikka Roslianna Busto, Shohei Enomoto, Takeharu Eda (NTT SIC) PRMU2022-111 IBISML2022-118
 [more] PRMU2022-111 IBISML2022-118
pp.275-280
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
10:30
Hokkaido Hokkaido Univ. A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching
Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Traffic sign recognition is a real-world task that involves many constraints and complications. Traffic sign recognition... [more]
NC, NLP 2023-01-29
15:05
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Predictions and Attentions Acquired by Vision Transformer with Source-Target Attention from Dilated Convolutions on Small Data Sets
Tatsuki Shimura, Katsumi Tadamura, Toshikazu Samura (Yamaguchi Univ) NLP2022-104 NC2022-88
Vision Transformer (ViT) requires large data sets during pre-training phase to acquire high classification accuracy on a... [more] NLP2022-104 NC2022-88
pp.123-128
EMM 2023-01-26
09:30
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Influence of Data Hiding in EtC-Image Classification with Vision Transformer
Kosuke Abe, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2022-61
A privacy-preserving image classification method with the vision transformer (ViT) was proposed in which the accuracy of... [more] EMM2022-61
pp.1-6
SANE 2022-12-16
14:15
Nagasaki Nagasaki Public Hall
(Primary: On-site, Secondary: Online)
Land Cover Classification for Polarimetric SAR Images Based on Vision Transformer
Hongmiao Wang, Danwei Lu (Tsinghua Univ.), Junjun Yin (USTB), Jian Yang (Tsinghua Univ.) SANE2022-83
Deep learning methods have been widely studied for polarimetric synthetic aperture radar (PolSAR) land cover classificat... [more] SANE2022-83
pp.100-104
PRMU 2022-12-16
15:10
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
[Short Paper] Cosine Similarity Based Attention on a Hypersphere for Vision Transformers
Jungdae Lee, Rei Kawakami, Nakamasa Inoue (Tokyo Tech) PRMU2022-52
The success of Vision Transformers in computer vision is usually attributed to its distinct structure of self-attention ... [more] PRMU2022-52
pp.106-109
CAS, SIP, VLD, MSS 2022-06-16
15:05
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
Image Classification Using Vision Transformer for Compressible Encrypted Images
Genki Hamano, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) CAS2022-8 VLD2022-8 SIP2022-39 MSS2022-8
In this paper, we propose an image classification method for compressible encrypted images without losing classification... [more] CAS2022-8 VLD2022-8 SIP2022-39 MSS2022-8
pp.40-45
PRMU, IPSJ-CVIM 2022-03-10
09:30
Online Online PRMU2021-62 no English abstract [more] PRMU2021-62
pp.13-18
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