Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICM, IPSJ-IOT, IPSJ-CSEC |
2024-05-30 13:50 |
Tottori |
(Primary: On-site, Secondary: Online) |
Generative AI for Enhanced System Design and Evaluation Jayesh Guntupalli, Kentaro Watanabe (Hitachi Ltd.) |
(To be available after the conference date) [more] |
|
PRMU, IPSJ-CVIM |
2024-05-16 15:10 |
Tokyo |
(Primary: On-site, Secondary: Online) |
A Proposal for Generating Incorrect Pairs for the CLIP Learning based on Image Clustering Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.) PRMU2024-5 |
We proposed a novel method for generating incorrect pairs to enhance learning performance in CLIP's contrastive learning... [more] |
PRMU2024-5 pp.24-29 |
PN |
2024-03-15 15:50 |
Kagoshima |
(Primary: On-site, Secondary: Online) |
Iterative complex-field reconstruction of optical signals using time-domain ptychography Masataka Kinugawa, Masayuki Matsumoto (Wakayama Univ.) PN2023-91 |
A number of studies have been devoted to retrieval of optical phase information by direct-detection receivers. Such dete... [more] |
PN2023-91 pp.121-126 |
LOIS |
2024-03-14 11:40 |
Okinawa |
Okinawa Pref Danjyo-Kyoudou-Sankaku Center (Primary: On-site, Secondary: Online) |
Consideration of ChatGPT and Human Tagging Characteristics in Text Classification Yuta Tokuhiro, Takumi Saiki, Yasuhiko Higaki, Sachiyo Arai (Chiba Univ.) LOIS2023-62 |
We had ChatGPT perform annotation for the purpose of utilizing text data, and verified the characteristics of tags and t... [more] |
LOIS2023-62 pp.84-89 |
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 |
TL |
2023-09-30 14:55 |
Tokyo |
University of Tokyo |
[Poster Presentation]
Facilitatory interference effects in Japanese humble expressions Chunxia Hu, Yoko Nakano (Kwasei Gakuin Univ.) TL2023-21 |
We report the results of a study in which we investigated whether a grammatical illusion occurs in sentences
containing... [more] |
TL2023-21 pp.30-35 |
EMM, IT |
2023-05-11 13:50 |
Kyoto |
Rakuyu Kaikan (Kyoto Univ. Yoshida-South Campus) (Primary: On-site, Secondary: Online) |
A Note on a New Method for Reducing Computation Time in Private Coded Computation Atsushi Miki, Shenzhe Gao, Koki Kazama, Toshiyasu Matsushima (Waseda Univ.) IT2023-3 EMM2023-3 |
Coded Computation is a mechanism for accelerating computations through distributed processing using multiple servers. Th... [more] |
IT2023-3 EMM2023-3 pp.12-17 |
ICD |
2023-04-10 14:10 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
ICD2023-5 |
The information retrieval processors are processors that take over the information retrieval processing that current com... [more] |
ICD2023-5 pp.10-13 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 15:15 |
Okinawa |
Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A Method for Fast Compression of Sign Bits of DCT Coefficients in Image Coding Fuma Ito, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IMQ2022-56 IE2022-133 MVE2022-86 |
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] |
IMQ2022-56 IE2022-133 MVE2022-86 pp.178-181 |
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 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 17:30 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
A Study on Data Augmentation by Pixel Value Transformation for Product Image Retrieval DNN Yu Okamoto, Masaki Kishibe, Toshikazu Wada (Wakayama Univ.) PRMU2022-94 IBISML2022-101 |
We are developing a product image retrieval DNN for supporting shelving allocation tasks. To train the DNN, product imag... [more] |
PRMU2022-94 IBISML2022-101 pp.181-186 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-03 16:40 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
PRMU2022-113 IBISML2022-120 |
(To be available after the conference date) [more] |
PRMU2022-113 IBISML2022-120 pp.287-292 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 11:00 |
Hokkaido |
Hokkaido Univ. |
A note on text prompt tuning in cross-modal image retrieval for a specific database Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
With the development of storage devices and the Internet, the number of users creating personal image databases has incr... [more] |
|
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 10:15 |
Hokkaido |
Hokkaido Univ. |
Text - Image Fashion Retrieval with Textural Features Daichi Suzuki (Tokyo Univ.), Go Irie (Tokyo Univ of Science), Kiyoharu Aizawa (Tokyo Univ.) ITS2022-43 IE2022-60 |
In this study, we propose a method of pre-processing on a dataset and deep learning to perform fashion retrieval conside... [more] |
ITS2022-43 IE2022-60 pp.11-16 |
IE |
2023-02-02 15:30 |
Tokyo |
NII (Primary: On-site, Secondary: Online) |
[Invited Talk]
How Can We Compress Signs of DCT Coefficients in Image Coding?
-- A Method Inspired by Phase Retrieval -- Chihiro Tsutake (Nagoya Univ.) IE2022-55 |
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] |
IE2022-55 p.19 |
HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa |
Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
A study on intra-modal constraint loss toward cross-modal recipe retrieval Jiahang Lu (Nagoya Univ.), Haruya Kyutoku (Aichi Univ. of Technology), Keisuke Doman (Chukyo Univ.), Takahiro Komamizu (Nagoya Univ.), Yasutomo Kawanishi (RIKEN), Takatsugu Hirayama (Univ. of Human Environments), Ichiro Ide (Nagoya Univ.) |
Recipe retrieval has become a popular task in multimedia research due to the importance of food in normal lives. With th... [more] |
|
AI |
2022-09-15 14:10 |
Shizuoka |
(Primary: On-site, Secondary: Online) |
Title retrieval with BERTScore for creating article titles Kento Kaku, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-20 |
Keyword retrieval based on n-grams is not sufficient when assisting novice authors in checking the appropriateness of th... [more] |
AI2022-20 pp.13-18 |
AI |
2022-09-15 15:25 |
Shizuoka |
(Primary: On-site, Secondary: Online) |
A shopping support system considering preferences for multiple information sources Weijian Li, Masato Kikuchi, Tadachika Ozono (Nitech) AI2022-23 |
When purchasing products online, it is desirable to collect information not only from the site of purchase, but also fro... [more] |
AI2022-23 pp.31-36 |
PRMU |
2022-09-15 10:15 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Image retrieval for animated characters from original works, derivative works and merchandise Shiqi Mao (Ritsumeiken Univ), Longjiao Zhao (Nagoya Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeiken Univ) PRMU2022-19 |
Recently, there are many successful models for retrieving animated characters. However, conventional studies have mainly... [more] |
PRMU2022-19 pp.55-60 |
ET |
2022-07-09 13:35 |
Online |
Online |
Retrieval of Similar Questions from QAbot Data based on Transformer Language Model Zihao Chen, Hisashi Handa, Kimiaki Shirahama (Kindai Univ.) ET2022-9 |
It has recently become possible to collect a large amount of question-answer pairs that arose in certain educational cou... [more] |
ET2022-9 pp.5-11 |