Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SITE, IPSJ-EIP |
2024-06-05 15:00 |
Tokyo |
Rikkyo Univ. (Ikebukuro) |
[Invited Talk]
Introduction for the Panel Discussion "Aspects of Modern Content Moderation and Law" Soichiro Morishita (CyberAgent) |
[more] |
|
COMP |
2024-03-14 13:30 |
Tokyo |
The University of Electro-Communications |
[Invited Talk]
Gap Amplification for Reconfiguration Problems Naoto Ohsaka (CyberAgent) COMP2023-31 |
Combinatorial reconfiguration is an emerging field of theoretical computer science that studies the reachability between... [more] |
COMP2023-31 p.22 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 13:40 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Supporting social resources in the physical world by an avatar communication system Masanori Takano (CyberAgent) CQ2023-82 |
In the real world, access to social resources can be limited due to various societal factors. For example, victims of bu... [more] |
CQ2023-82 p.67 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 09:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Improving training recipe of Remixed2Remixed for speech enhancement Li Li, Shogo Seki (CyberAgent) EA2023-95 SIP2023-142 SP2023-77 |
In the use of deep learning for speech enhancement, supervised learning models that use pairs of clean speech and artifi... [more] |
EA2023-95 SIP2023-142 SP2023-77 pp.202-207 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 15:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Investigation of objective intelligibility metrics based on speech foundation models for Clarity Prediction Challenge 2 Katsuhiko Yamamoto (CyberAgent) EA2023-119 SIP2023-166 SP2023-101 |
Speech Foundation Models (SFMs), which use components like the encoder layer of Whisper, have been suggested to separate... [more] |
EA2023-119 SIP2023-166 SP2023-101 pp.334-339 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 10:45 |
Hokkaido |
Hokkaido Univ. |
Initial Image Editing for Layout-to-Image Synthesis in Diffusion Model Jiafeng Mao (The Univ. of Tokyo), Xueting Wang (CyberAgent), Kiyoharu Aizawa (The Univ. of Tokyo) ITS2023-63 IE2023-52 |
[more] |
ITS2023-63 IE2023-52 pp.90-94 |
EID, IEE-EDD, ITE-3DMT, ITE-AIT, ITE-IDY, VRSJ, IIEEJ [detail] |
2023-11-24 13:40 |
Tokyo |
Ota Kumin Hall |
[Invited Talk]
* Takafumi Taketomi (CyberAgent) |
[more] |
|
SP, IPSJ-SLP, EA, SIP [detail] |
2023-02-28 13:45 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Multichannel audio source separation based on deep generative model and signal independence Li Li (CA) EA2022-88 SIP2022-132 SP2022-52 |
[more] |
EA2022-88 SIP2022-132 SP2022-52 p.77 |
CNR |
2022-09-22 10:00 |
Hokkaido |
Hokkaido University (Primary: On-site, Secondary: Online) |
Field Study on Recommended by Agents with/without Body Ryosuke Kawashima, Saya Todome (Nihon Univ.), Kohei Okuoka (Keio Univ.), Takuya Iwamoto, Jun Baba, Daisuke Endo (CyberAgent), Akihiro Miyata, Masahiko Osawa (Nihon Univ.) CNR2022-8 |
[more] |
CNR2022-8 pp.1-6 |
CNR |
2022-09-22 10:30 |
Hokkaido |
Hokkaido University (Primary: On-site, Secondary: Online) |
Proposal for a mimetic agent that transforms itself into a recommendation target Ryo Fukushima (Nichidai), Keisuke Suzuki (Sendai), Ryosuke Kawashima (Nichidai), Yagi Takuma (Toudai), Jun Baba, Takuma Iwamoto, Daisuke Endo (CyberAgent), Akihiro Miyata, Masahiko Oosawa (Nichidai) CNR2022-9 |
(To be available after the conference date) [more] |
CNR2022-9 pp.7-12 |
IA, SITE, IPSJ-IOT [detail] |
2022-03-08 11:40 |
Kyoto |
Kyoto University, Yoshida Campus (Primary: On-site, Secondary: Online) |
[Invited Talk]
Providing professional and constructive criticism and raising issues Soichiro Morishita (CyberAgent, Inc.) |
[more] |
|
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-22 10:00 |
Online |
Online |
Pretext-Contrastive Learning for Self-Supervised Video Feature Learning Li Tao (UTokyo), Xueting Wang (CyberAgent, Inc.), Toshihiko Yamasaki (UTokyo) ITS2021-43 IE2021-52 |
Recently, pretext task-based methods are proposed one after another in self-supervised video feature learning. Contrasti... [more] |
ITS2021-43 IE2021-52 pp.109-114 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-22 10:15 |
Online |
Online |
Contrastive Self-Supervised Learning Framework for Unsupervised Video Summarization Xianliang Zhang, Li Tao (UTokyo), Xueting Wang (CyberAgent AI Lab), Toshihiko Yamasaki (UTokyo) ITS2021-44 IE2021-53 |
The rapid growth of video data aggravates the effort by viewers in exploring informative data. This paper presents a fra... [more] |
ITS2021-44 IE2021-53 pp.115-120 |
HCS |
2022-01-28 10:10 |
Online |
Online |
Preliminary research on the effectiveness of recommendations by Sound Agents without body Ryosuke Kawashima (Senshu Univ.), Kohei Okuoka (Keio Univ.), Takuya Iwamoto, Jun Baba, Daisuke Endo (CyberAgent), Takashi Omori, Masahiko Osawa (Nihon Univ.) HCS2021-44 |
The number of cases of customer service and advertising by robots in commercial and retail stores is increasing. It has ... [more] |
HCS2021-44 pp.7-11 |
EID, IEE-EDD, ITE-3DMT, ITE-AIT, ITE-IDY, VRSJ, IIEEJ [detail] |
2021-11-29 13:00 |
Online |
Online (Zoom) |
[Invited Lecture]
* Hiroto Yamatsuka (CyberAgent) |
[more] |
|
BioX, ISEC, SITE, ICSS, EMM, HWS, IPSJ-CSEC, IPSJ-SPT [detail] |
2021-07-19 15:25 |
Online |
Online |
[Invited Talk]
Data science practice from a legal and ethical perspective
-- A case study of an avatar community application -- Soichiro Morishita (CA) ISEC2021-19 SITE2021-13 BioX2021-20 HWS2021-19 ICSS2021-24 EMM2021-24 |
In social networking services, messages may be monitored before and after with valid consent obtained from the user in o... [more] |
ISEC2021-19 SITE2021-13 BioX2021-20 HWS2021-19 ICSS2021-24 EMM2021-24 pp.56-59 |
SITE, IPSJ-EIP [detail] |
2020-06-04 14:50 |
Online |
Online |
[Invited Talk]
Data science practice from a business and ethical perspective Soichiro Morishita (CA) SITE2020-7 |
Much of people’s activities are now run on digital platforms. They are becoming increasingly important, especially in ev... [more] |
SITE2020-7 pp.41-44 |
NLC, IPSJ-DC |
2019-09-27 16:00 |
Tokyo |
Future Corporation |
NLC2019-13 |
[more] |
NLC2019-13 p.27 |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-17 15:50 |
Okinawa |
Okinawa Institute of Science and Technology |
A Comparison of Surrogate Models in Bayesian Optimization Sho Shimoyama (Meiji Univ.), Masahiro Nomura (CA) IBISML2019-7 |
Bayesian optimization can efficiently select the next search point by using a surrogate model that estimates an objectiv... [more] |
IBISML2019-7 pp.43-50 |
PRMU |
2018-12-14 14:10 |
Miyagi |
|
What Affects Visual Ad Clicks in Social Media Platforms? Yuki Iwazaki, Kota Yamaguchi (CyberAgent, Inc.) PRMU2018-88 |
In the online advertisement, high-quality prediction on click-through rate (CTR) is crucial for delivering the optimal a... [more] |
PRMU2018-88 pp.67-72 |