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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] |
2024-06-07 14:30 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Boosting Fine-grained Fashion Retrieval with Relational Knowledge Distillation Ling Xiao, Toshihiko Yamasaki (UTokyo) |
[more] |
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IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 13:20 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
The Past, Current and Future of Fashion Image Retrieval: Toward a User-Centered Orientation Ling Xiao (UTokyo) IMQ2023-28 IE2023-83 MVE2023-57 |
Fashion image retrieval (FIR) plays a pivotal role in enhancing the online shopping experience on retail and e-commerce ... [more] |
IMQ2023-28 IE2023-83 MVE2023-57 pp.87-89 |
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] |
2024-02-20 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 |
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 |
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 |
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