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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 21  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-03
09:24
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Fine-grained Activity Recognition with Pretraining State Transitions in Manipulated Objects
Atsushi Okamoto, Katsufumi Inoue, Michifumi Yoshioka (Osaka Metropolitan Univ.) PRMU2023-53
(To be available after the conference date) [more] PRMU2023-53
pp.13-18
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI 2023-11-16
16:50
Tottori
(Primary: On-site, Secondary: Online)
Boosting Representation Learning through Combination of Web-based Similar Image Search and Diversity-based Query Strategy
Shiryu Ueno, Kunihito Kato (Gifu Univ.) PRMU2023-21
(To be available after the conference date) [more] PRMU2023-21
pp.32-36
BioX 2023-10-13
10:20
Okinawa Nobumoto Ohama Memorial Hall Discrimination between Real and Generated Gestures of Speakers -- An Attempt to Improve Generalization Performance in Unseen Generation Methods through Self-Supervised Learning --
Geng Mu (AGU), Naoshi Kaneko (TDU), Kazuhiko Sumi (AGU) BioX2023-67
Currently, discerning artificially generated misinformation is a critical societal challenge, with research progressing ... [more] BioX2023-67
pp.44-49
IBISML 2023-09-08
13:25
Osaka Osaka Metropolitan University (Nakamozu Campus)
(Primary: On-site, Secondary: Online)
Consideration of Negative Samples in Contrastive Learning
Daiki Ishiguro, Tomoko Ozeki (Tokai Univ.) IBISML2023-28
Contrastive learning has achieved accuracy comparable to supervised learning. In this method, the transformed image pair... [more] IBISML2023-28
pp.16-21
NLC, IPSJ-NL 2023-03-18
10:25
Okinawa OIST
(Primary: On-site, Secondary: Online)
NLC2022-20 (To be available after the conference date) [more] NLC2022-20
pp.7-11
MI 2023-03-07
15:38
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] A Denoising Method for Low Dose CT by Iterative Processing Using Self-Supervised Learning
Yuki Sato, Hiroyuki Kudo (Univ of Tsukuba) MI2022-121
In recent years, patient exposure has become an issue, and low-dose CT, which reduces the amount of radiation irradiated... [more] MI2022-121
pp.192-193
SP, IPSJ-SLP, EA, SIP [detail] 2023-02-28
15:55
Okinawa
(Primary: On-site, Secondary: Online)
Self-Supervised Learning With Spatial Audio-Visual Recording for Sound Event Localization and Detection
Yoto Fujita (Kyoto Univ.), Yoshiaki Bando (AIST), Keisuke Imoto (Doshisha Univ./AIST), Masaki Onihsi (AIST), Yoshii Kazuyoshi (Kyoto Univ.) EA2022-89 SIP2022-133 SP2022-53
This paper describes an unsupervised pre-training method for sound event localization and detection (SELD) on multi-chan... [more] EA2022-89 SIP2022-133 SP2022-53
pp.78-82
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
15:50
Okinawa
(Primary: On-site, Secondary: Online)
The linguistic influence on speaker verification based on Self-Supervised Learning
Tomoka Wakamatsu (Tokyo Metropolitan Univ.), Atsushi Ando (NTT), Sayaka Shiota (Tokyo Metropolitan Univ.), Ryo Masumura (NTT), Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2022-118 SIP2022-162 SP2022-82
In recent years, statistical models utilizing Self-Supervised Learning (SSL) have been employed in various fields
It ha... [more]
EA2022-118 SIP2022-162 SP2022-82
pp.247-252
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
10:00
Hokkaido Hokkaido Univ. ITS2022-60 IE2022-77 Unsupervised domain adaptation (UDA) is extremely effective for transferring knowledge from a label-rich source domain t... [more] ITS2022-60 IE2022-77
pp.101-106
CAS, MSS, IPSJ-AL [detail] 2022-11-18
14:05
Kochi
(Primary: On-site, Secondary: Online)
Unsupervised Representation Learning over Decentralized Federated Learning
Haruki Sakurai, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-54 MSS2022-37
Contrastive Learning is a form of self-supervised learning, a method for learning a general-purpose encoder using a larg... [more] CAS2022-54 MSS2022-37
pp.79-82
SIP 2022-08-25
14:33
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Structured Deep Image Prior with Interscale Thresholding
Jikai Li, Shogo Muramatsu (Niigata Univ.) SIP2022-55
This work proposes a novel image denoising technique inspired by the deep image prior (DIP) method. Our contribution is ... [more] SIP2022-55
pp.31-36
SIP 2022-08-26
15:33
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Locally-Structured Unitary Network to Capture Tangent Spaces of Manifold
Godage Yasas, Shogo Muramatsu (Niigata Univ.) SIP2022-75
This work proposes a unique linear transform, locally-structured unitary network (LSUN), that captures tangent spaces of... [more] SIP2022-75
pp.129-133
PRMU, IPSJ-CVIM 2022-03-11
17:10
Online Online PRMU2021-90 No English abstract [more] PRMU2021-90
pp.186-191
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
10:45
Online Online ITS2021-46 IE2021-55 There has been a tremendous progress in unsupervised domain adaptation (UDA), which aims to transfer knowledge acquired ... [more] ITS2021-46 IE2021-55
pp.127-132
IMQ 2021-05-28
09:40
Online Online Self-supervised representation learning with grayscale images
Yuichiro Sumi, Takuto Kojima (Nagoya Univ.), Kentaro Kutsukake (RIKEN), Tetsuya Matsumoto, Hiroaki Kudo (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Noritaka Usami (Nagoya Univ.) IMQ2021-1
Multicrystalline silicon solar cells, which are most commonly used in residential photovoltaic systems, include regions ... [more] IMQ2021-1
pp.1-4
BioX, CNR 2021-03-02
14:50
Online Online A Face Identification System Based on Self-Supervised Learning Using Triplet-based Variational Autoencoder
Yuta Hagio, Yutaka Kaneko, Yuta Hoshi, Marina Kamimura, Yasuhiro Murasaki, Masao Yamatomo (NHK) BioX2020-46 CNR2020-19
In this paper, we propose a face image identification system based on self-supervised learning for IoT devices and compa... [more] BioX2020-46 CNR2020-19
pp.32-37
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
17:05
Online Online Design Creation with GAN using features that reflect Shape and Material
Shun Matsumura, Kiyoharu Aizawa (UTokyo), Atsushi Honda, Seiji Kurokoshi (DIGISEARCH) ITS2020-34 IE2020-48
When designers create a new design, they often refer to the existing design of shapes and materials to create a new desi... [more] ITS2020-34 IE2020-48
pp.43-48
IBISML 2020-03-11
11:35
Kyoto Kyoto University
(Cancelled but technical report was issued)
Pre-training for Action Classification Task Using Video Frame Prediction Task
Hidemoto Nakada, Hideki Asoh (AIST) IBISML2019-45
Continuous Video frames have strongly correlated with each other and thus include rich information that could be leverag... [more] IBISML2019-45
pp.85-90
AI 2011-05-26
16:45
Tokyo Kwansei Gakuin Univ. Tokyo Marunouchi Campus A Proposal for Building Semantic Network by Mining Human Activity from Web
Nguyen The Minh, Masahiro Itou, Takahiro Kawamura, Yasuyuki Tahara, Akihiko Ohsuga (UEC, Tokyo) AI2011-8
The final goal of this paper is to help computers recommend the most suitable action patterns based on users' behaviors.... [more] AI2011-8
pp.39-44
AI 2010-06-25
11:30
Tokyo   Automatic Extraction of Human Activity Attributes from Twitter
Nguyen Minh The, Takahiro Kawamura, Yasuyuki Tahara, Akihiko Ohsuga (Univ. of Electro-Comm.) AI2010-4
The goal of this paper is to describe a method to automatically extract all basic attributes namely actor, action, objec... [more] AI2010-4
pp.19-23
 Results 1 - 20 of 21  /  [Next]  
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