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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 10:30 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Body Parts Motion Guided Deformable Attention for Action Recognition Yuji Sato, Umihiro Kamoto, Takeo Ueta (Panasonic Connect), Yasunori Ishii (Panasonic Holdings), Takayoshi Yamashita (Chubu Univ.)  PRMU2023-44 |
In recent years, video transformers for action recognition have been proposed and achieve high performance. Most of the... [more] |
PRMU2023-44 pp.26-31 |
| CCS | 2023-11-12 10:50 |
Toyama | Toyama Prefectural University | A Model of attention varying of senders on social media Naoki Hirakura (Toyama Prefectural Univ.) CCS2023-35 |
The environment in which attention has economic value is called the attention economy, and it has been expanding with th... [more] | CCS2023-35 pp.58-61 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 10:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Singing voice synthesis based on a frame-driven attention mechanism considering vocal timing deviation Miku Nishihara, Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (NITech) EA2022-78 SIP2022-122 SP2022-42 |
This paper proposes singing voice synthesis (SVS) based on a frame-driven attention mechanism considering vocal timing d... [more] | EA2022-78 SIP2022-122 SP2022-42 pp.19-24 |
| NC, NLP | 2023-01-29 15:55 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Indoor air quality prediction using multi-reservoir echo state network with attention mechanism Wenrui Qiu, Gouhei Tanaka (UTokyo) NLP2022-106 NC2022-90 |
Indoor air quality (IAQ) is a critical matter of concern in terms of its impact on public health and well-being. Researc... [more] | NLP2022-106 NC2022-90 pp.135-140 |
| IMQ | 2022-12-16 15:55 |
Chiba | Nishi-Chiba Campus, Chiba Univ. | Improving Pedestrian Attribute Recognition with Spatial Attention and Attribute Correlation Yichen Chen, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoya Univ.) IMQ2022-18 |
In the field of video surveillance, pedestrian attribute recognition is a focus technical thema of study. To predict cer... [more] | IMQ2022-18 pp.16-21 |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 14:15 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Research on Anomaly Detection through Analysis of Observed Traffic Using Self-Attention Yuhang Zhou, Akihiro Nakao (UTokyo) NS2022-108 |
Nowadays, threat activities have become an integral part of our network lives. The sophistication and variety of differe... [more] | NS2022-108 pp.47-52 |
| BioX | 2022-10-03 13:30 |
Okinawa | Performance Improvement of CNN-Based Fingerprint Recognition Using Multiple Attention Mechanism Nagisa Sasuga, Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2022-55 |
Fingerprint recognition methods that extract multiple features from a fingerprint image using a Convolutional Neural Net... [more] | BioX2022-55 pp.1-6 |
|
| HIP | 2020-12-22 13:30 |
Online | Online | A Segmentation Algorithm Based on Capsule Network Using Attention Routing Reo Sakairi, Qiu Chen (Kogakuin Univ.) HIP2020-57 |
In recent years, in order to detect cancer cells from X-ray images, researches on segmentation using deep learning techn... [more] | HIP2020-57 pp.20-24 |
| MI | 2020-09-03 11:30 |
Online | Online | [Short Paper]
Automatic Segmentation of Liver Tumor in Multi- phase CT Images by Attention Mask R-CNN Ryo Hasegawa, Yutaro Iwamoto (Rits Univ.), Lanfen Lin, Hongjie Hu (Zhejiang University), Yen-Wei Chen (Rits Univ.) MI2020-25 |
Tumor detection and segmentation are essential pretreatment steps in computer-aided diagnosis of liver tumors. In this s... [more] | MI2020-25 pp.35-38 |
| MVE, IPSJ-CVIM | 2020-01-23 13:25 |
Nara | [Short Paper]
A Study on Trademark Search by Learning Texts and Images Information Daichi Koike, Takashi Suenaga, Maki Nakabayashi (NTT DATA) MVE2019-30 |
(To be available after the conference date) [more] | MVE2019-30 pp.31-32 |
|
| PRMU, BioX | 2019-03-17 15:15 |
Tokyo | Arbitrary Charactor Image Generation in Arbitrary Poses using Neural Network Hidemoto Nakada, Hideki Asoh (AIST) BioX2018-41 PRMU2018-145 |
Thanks to recent improvement of image generation technologies by neural networks, now we can gener- ate photo-realistic ... [more] | BioX2018-41 PRMU2018-145 pp.73-78 |
|
| SP, IPSJ-SLP, NLC, IPSJ-NL (Joint) [detail] |
2016-12-20 09:55 |
Tokyo | NTT Musashino R&D | Hard-Attentional Neural Network Models for Emphasis Speech Translation Quoc Truong Do, Sakriani Sakti, Graham Neubig, Satoshi Nakamura (NAIST) SP2016-50 |
Traditional speech translation systems are oblivious to paralinguistic information. A recent work has tried to tackle th... [more] | SP2016-50 pp.7-8 |
| BioX | 2016-08-18 14:35 |
Miyagi | [Invited Talk]
Frontiers in Distributed Representations for Natural Language Processing Naoaki Okazaki (Tohoku Univ.) BioX2016-9 |
(To be available after the conference date) [more] | BioX2016-9 p.13 |
|
| PRMU | 2004-11-18 09:30 |
Fukui | Brain dynamics in biological motion perception
-- An ERP study -- Masahiro Hirai, Kazuo Hiraki (Univ. of Tokyo) |
In this study, we clarified the neural dynamics for the biological motion (BM) perception by measuring an event-related ... [more] | PRMU2004-93 pp.1-6 |
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