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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MVE, VRSJ-SIG-MR, IPSJ-EC, HI-SIG-DeMO, VRSJ-SIG-CS | 2023-10-27 11:40 |
Hokkaido | Online Structured Job Interview Assessment Using Multimodal Transformer and Prompt Learning Shengzhou Yi (UTokyo), Toshiaki Yamasaki (taleasse), Toshihiko Yamasaki (UTokyo) |
(To be available after the conference date) [more] | ||
| MVE | 2023-09-07 10:30 |
Osaka | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Generative Artificial Intelligence and Media Experience Toshihiko Yamasaki (UTokyo)  MVE2023-14 |
Generative Artificial Intelligence (AI) has been garnering significant attention in the fields of language and computer ... [more] | MVE2023-14 pp.1-4 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 14:25 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
[Short Paper]
Multi-Level Attention Network for Fine-Grained Fashion Retrieval Ling Xiao, Toshihiko Yamasaki (UTokyo) IMQ2022-60 IE2022-137 MVE2022-90 |
This paper proposes an attribute-guided multi-level attention network (AG-MLAN) to learn fine-grained fashion similarity... [more] | IMQ2022-60 IE2022-137 MVE2022-90 pp.198-199 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 14:40 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
HOCF: Hyperbolic Optimization Collaborative Filtering Chi Zhang, Toshihiko Yamasaki (UTokyo) IMQ2022-61 IE2022-138 MVE2022-91 |
As LightGCN reaches a very high performance using a very simple structure, a new question arises: why such a simple mode... [more] | IMQ2022-61 IE2022-138 MVE2022-91 pp.200-205 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 09:45 |
Hokkaido | Hokkaido Univ. | Graph Collaborative Filtering for Video Recommendation Luwei Zhang (UTokyo), Noboru Kanazawa (Softbank), Toshihiko Yamasaki (UTokyo) ITS2022-41 IE2022-58 |
The rapid growth in the number of videos on the Internet offers great potential for users to find the content of interes... [more] | ITS2022-41 IE2022-58 pp.1-4 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 10:00 |
Hokkaido | Hokkaido Univ. | Advertisement Banner Layout Generation based on Evolutionary Computation Soichiro Terasaka (UTokyo), Hiroyuki Seshime (Septeni Japan), Toshihiko Yamasaki (UTokyo) ITS2022-42 IE2022-59 |
Digital advertisements play an important role in today's websites and smartphone applications for the purpose of maintai... [more] | ITS2022-42 IE2022-59 pp.5-10 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 10:30 |
Hokkaido | Hokkaido Univ. | Improving Fashion Compatibility Prediction with Color Distortion Prediction Ling Xiao, Toshihiko Yamasaki (UTokyo) ITS2022-44 IE2022-61 |
Fashion compatibility prediction is suffering from the fact that the labeled dataset may become outdated quickly due to ... [more] | ITS2022-44 IE2022-61 pp.17-18 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 09:15 |
Hokkaido | Hokkaido Univ. | Varying Difficulties in the Data and Its Effects to the Generalizability Aoshi Kawaguchi (UTokyo), Hiroshi Kera (Chiba University), Toshihiko Yamasaki (UTokyo) ITS2022-57 IE2022-74 |
Deep neural networks (DNNs) often undergo overfitting. One cause of overfitting is the training time. It was proven th... [more] |
ITS2022-57 IE2022-74 pp.83-88 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 09:30 |
Hokkaido | Hokkaido Univ. | Spurious Correlation with Dataset Imbalance in Image Recognition Hajime Oi, Toshihiko Yamasaki (UTokyo) ITS2022-58 IE2022-75 |
Though various methods against spurious correlation have been proposed, most of them conducted experiments under a limit... [more] | ITS2022-58 IE2022-75 pp.89-94 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 09:45 |
Hokkaido | Hokkaido Univ. | Probabilistic Approach towards Theoretical Understanding for Adversarial Training Soichiro Kumano (UTokyo), Hiroshi Kera (Chiba Univ.), Toshihiko Yamasaki (UTokyo) ITS2022-59 IE2022-76 |
In this paper, we provide the first theoretical analysis of the training dynamics of adversarial training of deep neural... [more] | ITS2022-59 IE2022-76 pp.95-100 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 13:00 |
Hokkaido | Hokkaido Univ. | Assessment System of Remote Structured Interview using Bimodal Neural Network Shengzhou Yi (UTokyo), Toshiaki Yamasaki (Talent and Assessment), Toshihiko Yamasaki (UTokyo) ITS2022-67 IE2022-84 |
A structured interview is a data collection method that relies on asking questions in a set of order to eliminate subjec... [more] | ITS2022-67 IE2022-84 pp.141-146 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 13:15 |
Hokkaido | Hokkaido Univ. | Semantic-Consistent Style Transfer with Visual Transformers Jianbo Wang (UTokyo), Huan Yang, Jianlong Fu (MSR), Toshihiko Yamasaki (UTokyo), Baining Guo (MSR) ITS2022-68 IE2022-85 |
Image style transfer has drawn increasing attention recently. This task takes a content image and a style image as input... [more] | ITS2022-68 IE2022-85 pp.147-152 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 13:30 |
Hokkaido | Hokkaido Univ. | Content-aware Personalized Image Enhancement Satoshi Kosugi, Toshihiko Yamasaki (Univ. of Tokyo) ITS2022-69 IE2022-86 |
[more] | ITS2022-69 IE2022-86 pp.153-158 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 13:45 |
Hokkaido | Hokkaido Univ. | Parametric Weight Method for Scene Text Image Super-Resolution Supatta Viriyavisuthisakul (JAIST), Parinya Sanguanset (PIM), Teeradaj Racharak, Minh Le Nguyen (JAIST), Toshihiko Yamasaki (UTokyo) ITS2022-70 IE2022-87 |
[more] | ITS2022-70 IE2022-87 pp.159-162 |
| MVE | 2022-09-09 10:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Presentation Slide Assessment System using Visual and Semantic Segmentation Features Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Toshihiko Yamasaki (UTokyo) MVE2022-13 |
In this paper, we present a new presentation slide assessment system that can consider structural features of the slides... [more] | MVE2022-13 pp.16-21 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 10:45 |
Online | Online | User Satisfaction Prediction for Dialogue System in Mental Health Interventions Shengzhou Yi (UTokyo), Toshiaki Kikuchi (Keio), Toshihiko Yamasaki (UTokyo) ITS2021-25 IE2021-34 |
Mental health conditions deeply impact all areas of the life. Too much stress, most of which is related to work performa... [more] | ITS2021-25 IE2021-34 pp.1-6 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 12:45 |
Online | Online | Regularizing Generative Adversarial Networks with Internal Representation of Generators Yusuke Hara, Toshihiko Yamasaki (UTokyo) ITS2021-29 IE2021-38 |
In training generative adversarial networks, maintaining the criteria of the discriminator stably is crucial to training... [more] | ITS2021-29 IE2021-38 pp.25-30 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 13:30 |
Online | Online | Prediction of Seismic Intensity Distribution Using Neural Networks Haruki Mitarai, Koyu Mizutani, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki (UTokyo) ITS2021-32 IE2021-41 |
(To be available after the conference date) [more] | ITS2021-32 IE2021-41 pp.43-48 |
| 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 |
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