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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] | 2024-06-07 10:55 |
Niigata | Nigata University (Ekinan-Campus "TOKIMATE") | Price Prediction of Handmade Items using Multimodal Data Tomoya Sugihara, Shuntaro Masuda, Shengzhou Yi, Toshihiko Yamasaki (Tokyo Univ.) |
[more] | |
| ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] | 2024-06-07 14:05 |
Niigata | Nigata University (Ekinan-Campus "TOKIMATE") | Image Enhancement Adaptable to Recognition Model Characteristics Satoshi Kosugi (Tokyo Tech.), Toshihiko Yamasaki (UTokyo) |
[more] | |
| ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] | 2024-06-07 14:30 |
Niigata | Nigata University (Ekinan-Campus "TOKIMATE") | Relational Knowledge Distillation for Fine-grained Fashion Image Retrieval Ling Xiao, Toshihiko Yamasaki (UTokyo) |
[more] | |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-19 11:00 |
Hokkaido | Hokkaido Univ. | Improving Adversarial Robustness in Continual Learning Koki Mukai, Soichiro Kumano (UTokyo), Nicolas Michel (UGE/CNRS/LIGM), Ling Xiao, Toshihiko Yamasaki (UTokyo)  ITS2023-48 IE2023-37 |
The goal of continual learning is to prevent catastrophic forgetting. However, few studies have simultaneously considere... [more] | ITS2023-48 IE2023-37 pp.13-18 |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-19 11:15 |
Hokkaido | Hokkaido Univ. | Green Hierarchical Vision Transformer for Masked Image Modeling Lang Huang (Utokyo), Toshihiko Yamasaki (UTokyo) ITS2023-49 IE2023-38 |
[more] | ITS2023-49 IE2023-38 pp.19-24 |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 10:15 |
Hokkaido | Hokkaido Univ. | Image Attractiveness Analysis with Explanation using Vision-Language Model Shun Yoshida, Kaede Shiohara, Toshihiko Yamasaki (UTokyo) ITS2023-61 IE2023-50 |
There has been research on making machines analyze the image attractiveness, and in recent years, further progress has b... [more] | ITS2023-61 IE2023-50 pp.82-87 |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 10:30 |
Hokkaido | Hokkaido Univ. | Advertisement Layout Generation based on Graph Neural Network Chen FU (UTokyo), Yuesong Liu, Naoto Tanji, Hiroyuki Seshime (Septeni Japan, Inc), Ling Xiao, Toshihiko Yamasaki (UTokyo) ITS2023-62 IE2023-51 |
[more] | ITS2023-62 IE2023-51 pp.88-89 |
| 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) MVE2023-28 |
Online interviews have gained significant traction in recruitment processes due to their enhanced efficiency. Among vari... [more] | MVE2023-28 pp.34-39 |
|
| 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 |
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