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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 107 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-06-30
14:45
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Diffusion model with MASKed input for generating gestures during dyadic conversation
Yuya Okadome (TUS), Yutaka Nakamura (Riken) NC2023-19 IBISML2023-19
In a dyadic conversation scene, it is necessary to consider not only the behavior of one person but not also that of a c... [more] NC2023-19 IBISML2023-19
pp.121-128
PRMU, IPSJ-CVIM 2023-05-18
13:30
Aichi
(Primary: On-site, Secondary: Online)
Image Harmonization Using Diffusion Model for Perceptual Quality Improvement
Taito Naruki, Norimichi Ukita (TTI) PRMU2023-1
Image harmonization is the task of eliminating the discomfort of color tones that occurs when images are composited. How... [more] PRMU2023-1
pp.1-5
PRMU, IPSJ-CVIM 2023-05-19
09:50
Aichi
(Primary: On-site, Secondary: Online)
Incorporating Signed Distance Fields to Improve Text-to-3D Generation
Zhuofan Sun, Daichi Horita (Univ. of Tokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (Univ. of Tokyo) PRMU2023-9
Frameworks for generating 3D objects from text description have been proposed in recent years. These frameworks utilize ... [more] PRMU2023-9
pp.45-50
CCS 2023-03-27
09:00
Hokkaido RUSUTSU RESORT Medical Image Segmentation with Inverse Heat Dissipation Model
Yu Kashihara, Takashi Matsubara (Osaka Univ.) CCS2022-82
The diffusion model is a generative model based on stochastic transitions and has been successfully used to generate
an... [more]
CCS2022-82
pp.107-112
NLP, MSS 2023-03-17
10:20
Nagasaki
(Primary: On-site, Secondary: Online)
A method of suppressing false information diffusion in OSN
Atsushi Wakamatsu, Masaaki Miyashita, Norihiko Shinomiya (Soka Univ.) MSS2022-95 NLP2022-140
The diffusion of false information in online social networks is a serious problem.Despite various countermeasures, it is... [more] MSS2022-95 NLP2022-140
pp.156-159
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
15:10
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
[Invited Talk] --
Yuma Koizumi (Google Research) PRMU2022-87 IBISML2022-94
Machine learning tasks that deal with acoustic signals can be broadly classified into "recognizing sounds" and "generati... [more] PRMU2022-87 IBISML2022-94
p.149
SP, IPSJ-SLP, EA, SIP [detail] 2023-02-28
10:40
Okinawa
(Primary: On-site, Secondary: Online)
Image reconstruction with a diffusion model for robust image classification against unknown degradation
Teruaki Akazawa (Tokyo Metro. Univ.), Yuma Kinoshita (Tokai Univ.), Hitoshi Kiya (Tokyo Metro. Univ.) EA2022-83 SIP2022-127 SP2022-47
This paper presents an image reconstruction method with a diffusion model for robust image classification against image ... [more] EA2022-83 SIP2022-127 SP2022-47
pp.49-54
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
10:40
Okinawa
(Primary: On-site, Secondary: Online)
Diffusion-based parallel voice conversion with source-feature condition
Takuya Kishida, Toru Nakashika (UEC) EA2022-107 SIP2022-151 SP2022-71
We propose a voice conversion method based on a diffusion probabilistic model trained on a parallel dataset. Since the d... [more] EA2022-107 SIP2022-151 SP2022-71
pp.191-196
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
13:45
Okinawa
(Primary: On-site, Secondary: Online)
[Invited Talk] Speech and Language Research in the Google Tokyo Office
Michiel Bacchiani (Google) EA2022-116 SIP2022-160 SP2022-80
This talk will consist of three parts. In the first part of the talk, I will reflect on some lessons learned from the ac... [more] EA2022-116 SIP2022-160 SP2022-80
pp.239-240
CQ, CBE
(Joint)
2023-01-27
10:40
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Msaaki Miyashita, Norihiko Shinomiya (Soka Univ.) CQ2022-73
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CQ2022-73
pp.69-72
IN 2023-01-19
13:00
Aichi Aichi Industry & Labor Center
(Primary: On-site, Secondary: Online)
A Study on Throughput Estimation Method using Transmission Rate Variation Model based on Advection-Diffusion Equation for Multi-Rate Wireless LAN Environment
Shunsuke Sawamura, Hiroyasu Obata, Chisa Takano, Kenji Ishida (Hiroshima City Univ.) IN2022-56
In the situation where there are a lot of WiFi spots, it is necessary to select appropriate Access Point (AP) in order t... [more] IN2022-56
pp.27-32
CCS 2022-11-18
10:30
Mie
(Primary: On-site, Secondary: Online)
Analysis of Homophily Effects on Information Diffusion on Social Networks
Satoshi Furutani (NTT/TMU), Toshiki Shibahara, Mitsuaki Akiyama (NTT), Masaki Aida (TMU) CCS2022-55
Modeling the information diffusion process on networks is an important issue for analyzing information diffusion pattern... [more] CCS2022-55
pp.61-66
MIKA
(3rd)
2022-10-13
11:10
Niigata Niigata Citizens Plaza
(Primary: On-site, Secondary: Online)
[Poster Presentation] Experimental Evaluation of the Applicability of Cascade Popularity Prediction Models for Datasets from Different Domains
Daiki Suzuki, Sho Tsugawa (Univ. Tsukuba)
Predicting future popularity of a given information diffusion cascade is an important research task.
Contrastive Cascad... [more]

CCS 2022-03-27
09:25
Hokkaido RUSUTSU RESORT HOTEL & CONVENTION
(Primary: On-site, Secondary: Online)
Impact and Countermeasures of Fake News Exacerbated by Corrections
Takumi Sakiyama, Masaki Aida (Tokyo Metropolitan Univ.) CCS2021-37
With the spread of social networking services, the problem of fake news is becoming more serious.
As a countermeasure, ... [more]
CCS2021-37
pp.7-12
CCS 2022-03-27
15:40
Hokkaido RUSUTSU RESORT HOTEL & CONVENTION
(Primary: On-site, Secondary: Online)
Evaluation of Industrial Anomaly Detection using Diffusion Model
Yu Kashihara, Takashi Matsubara (Osaka Univ.) CCS2021-48
Anomaly detection by generative models is achieved by comparing the reconstruction and the original image. However, exis... [more] CCS2021-48
pp.72-77
CQ, CBE
(Joint)
2022-01-28
10:45
Ishikawa Kanazawa(Ishikawa Pref.)
(Primary: On-site, Secondary: Online)
A study of suppressing the information diffusion by focusing on authenticity assessment
Atsushi Wakamatsu, Masaaki Miyashita, Norihiko Shinomiya (Soka Univ.) CQ2021-90
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CQ2021-90
pp.76-81
MIKA
(3rd)
2021-10-29
10:30
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Analyzing the impact of Deleting Links in Social Networks for Suppressing Information Diffusion on Social Media
Shiori Furukawa, Sho Tsugawa (Univ. of Tsukuba)
The dissemination of harmful information such as fake news, and rumors has been a serious problem in the society. For su... [more]
CAS, NLP 2021-10-14
13:00
Online Online Network Structure and Information Diffusion Models in Social Networking Service Improve Information Retention in Liquid State Machines through Neuronal Activity Modulation
Hiromichi Furuya, Toshikazu Samura (Yamaguchi Univ) CAS2021-22 NLP2021-20
A Liquid State Machine (LSM) realizes information processing by retaining past information in its recursive structure. T... [more] CAS2021-22 NLP2021-20
pp.29-34
NLP, MSS
(Joint)
2021-03-15
10:45
Online Online An information diffusion model using information vitality and its statistical properties of complex networks
Atsushi Wakamatsu, Masaaki Miyashita, Norihiko Shinomiya (Soka Univ.) MSS2020-43
With the wide spread of social media in recent years, information transmission by individuals has become more active, an... [more] MSS2020-43
pp.1-4
NLP, MSS
(Joint)
2021-03-16
13:00
Online Online On Maximizing Utility of Information Diffusion in Social Networks
Masaaki Miyashita, Daisuke Kasamatsu, Norihiko Shinomiya (Soka Univ.) MSS2020-52
A purpose of information diffusion performed by information providers is to maximize the total utility of users, such as... [more] MSS2020-52
pp.43-46
 Results 21 - 40 of 107 [Previous]  /  [Next]  
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