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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 09:36 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
[Short Paper]
Fine-Grained Pedestrian Attribute Recognition with External Data Ruka Murai (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jiaqing Liu, Jien Kato (Ritsumeikan Univ.)  PRMU2023-56 |
In traffic accidents, pedestrians constitute the largest proportion of fatalities. To reduce pedestrian fatalities in th... [more] | PRMU2023-56 pp.31-34 |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 11:00 |
Hokkaido | Hokkaido Univ. | Image Generation Modification with Diffusion Model through Sketch Guidance Sandra Zhang Ding, Jiafeng Mao, Kiyoharu Aizawa (UTokyo) ITS2023-64 IE2023-53 |
Large-scale image generation models have demonstrated their remarkable ability to generate diverse, high-quality images.... [more] | ITS2023-64 IE2023-53 pp.95-99 |
| 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 | 2022-10-21 15:55 |
Tokyo | Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Fine-grained Action Recognition Using Hand Trajectory Features for First-Person Cooking Videos Sota Miyamoto (Tokyo Tech), Yagi Takuma (UTokyo), Ushiku Yoshitaka, Atsushi Hashimoto (OSX), Nakamasa Inoue (Tokyo Tech) PRMU2022-29 |
Action recognition in kitchen environments is a crucial topic in computer vision and robotics with application toward f... [more] |
PRMU2022-29 pp.41-46 |
| NS, IN (Joint) |
2022-03-10 09:10 |
Online | Online | Route Optimization for Traffic Engineering with Flow Re-routing Suppression Masato Nishiguchi, Takayuki Fujiwara, Satoshi Nakatsukasa, Yuki Takei (NTT) NS2021-122 |
Traffic Engineering (TE) is an approach to optimize the utilization of network resources for reducing congestion in the ... [more] | NS2021-122 pp.1-6 |
| SS | 2021-03-03 13:00 |
Online | Online | SS2020-30 |
(To be available after the conference date) [more] | SS2020-30 pp.13-18 |
| PRMU | 2020-12-18 15:25 |
Online | Online | Multi-Task Attention Learning for Fine-grained Recognition Dichao Liu (NU), Yu Wang (Rits), Kenji Mase (NU), Jien Kato (Rits) PRMU2020-63 |
Due to its inter-class similarity and intra-class variation, Fine-Grained Image Classification (FGIC) is an intrinsicall... [more] | PRMU2020-63 pp.145-150 |
| QIT (2nd) |
2019-11-19 11:50 |
Tokyo | Gakushuin University | Fine-grained quantum supremacy based on Orthogonal Vectors, 3-SUM and All-Pairs Shortest Paths Ryu Hayakawa, Tomoyuki Morimae (Kyoto Univ.), Suguru Tamaki (Hyogo Univ.) |
Fine-grained quantum supremacy is a study of excluding possibilities of superpolynomial time classical simulations of qu... [more] | |
| COMP | 2019-10-25 16:35 |
Hokkaido | Sapporo Campus, Hokkaido University | Fine-grained quantum supremacy based on Orthogonal Vectors, 3-SUM and All-Pairs Shortest Paths Ryu Hayakawa, Tomoyuki Morimae (YITP, Kyoto Univ.), Suguru Tamaki (School of Social Information Science, Univ. of Hyogo) COMP2019-28 |
Fine-grained quantum supremacy is a study of excluding possibilities of superpolynomial time classical simulations of qu... [more] | COMP2019-28 pp.71-78 |
| COMP | 2019-09-02 14:50 |
Okayama | Tsushima Campus, Okayama University | Fine-grained quantum computational supremacy Tomoyuki Morimae (Kyoto Univ.), Suguru Tamaki (Univ. Hyogo) COMP2019-14 |
It is known that probability distributions generated by quantum circuits cannot be approximately sampled by efficient cl... [more] | COMP2019-14 p.25 |
| KBSE | 2019-03-01 14:10 |
Kyoto | Doshisha University Kambaikan | Analysis of Learners' Trend Using Visualization Tool for Programming Process Genki Takayama, Hiroaki Hashiura (NIT), Takahumi Tanaka (TUT), Atsuo Hazeyama (TGU), Hiroshi Takase (NIT) KBSE2018-56 |
In recent years, Learning Analytics (LA) attracts attention as a big data utilization in education. LA is an attempt to ... [more] | KBSE2018-56 pp.13-18 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2018-12-06 09:00 |
Hiroshima | Satellite Campus Hiroshima | Resources Utilization of Fine-grained Overlay Architecture Theingi Myint (Kumamoto), Qian Zhao (Kyutech), Motoki Amagasaki, Masahiro Iida, Toshinori Sueyoshi (Kumamoto) RECONF2018-37 |
This paper focuses on utilization of hardware resources for fine-grained overlay architecture. Overlay architectures inc... [more] | RECONF2018-37 pp.15-20 |
| KBSE | 2018-05-25 13:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | A Reproduction Tool for Programming Process Utilizing Fine-Grained Development Records on the Web Genki Takayama, Hiroaki Hashiura (Nippon Inst. of Tech.), Takafumi Tanaka (Tokyo Univ. of Agriculture and Tech.), Atsuo Hazeyama (Tokyo Gakugei Univ.), Hiroshi Takase (Nippon Inst. of Tech.) KBSE2018-4 |
In general, software developments are conducted in form of team development. However, developers participated in mainten... [more] | KBSE2018-4 pp.13-18 |
| PRMU | 2017-12-17 10:30 |
Kanagawa | Hierarchical Multi-stream STNs for Fine-grained Action Recognition Dichao Liu, Yu Wang, Jien Kato (Nagoya Univ.) PRMU2017-103 |
Fine-grained action recognition is a difficult problem mainly because that the discriminative information is usually ver... [more] | PRMU2017-103 pp.13-17 |
|
| KBSE | 2017-11-11 10:30 |
Shizuoka | A Support Tool for Program Comprehension Utilizing Fine-Grained Development Records Genki Takayama, Yoshitaka Yamada, Hiroaki Hashiura (NIT), Takafumi Tanaka (TAT), Atsuo Hazeyama (TGU), Hiroshi Takase (NIT) KBSE2017-29 |
A software development is often put into effect with a project by plural people. However, not always continues to mainta... [more] | KBSE2017-29 pp.19-24 |
|
| IA | 2016-11-09 16:40 |
Hokkaido | Onuma International Seminar Hous | Fine-grained traffic control on software router Takaaki Kuwabara, Daisuke Kotani, Yasuo Okabe (Kyoto Univ.) IA2016-60 |
We consider fine-grained traffic control on the ingress router in a tree-structured stub network site based on the sourc... [more] | IA2016-60 pp.23-28 |
| KBSE | 2016-03-04 10:00 |
Oita | A Programming Learning Support Environment Utilizing Fine-Grained Development Records and Lecture Context Hiroaki Hashiura (NIT), Kazuki Mori (Shibaura Inst. of Tech.), Takafumi Tanaka, Atsuo Hazeyama (TGU), Seiichi Komiya (NII) KBSE2015-60 |
In a typical programming exercises that is the backbone of software engineering education, a teacher gives a lecture on ... [more] | KBSE2015-60 pp.69-74 |
|
| PRMU, IPSJ-CVIM, MVE [detail] | 2016-01-22 10:00 |
Osaka | Fine-Grained Classification of Pedestrian using Statistical Information Yoshihito Kokubo, Yu Wang, Jien Kato, Kenji Mase (NU) PRMU2015-124 MVE2015-46 |
The purpose of this study is fine-grained classification of sex(2 classes), age(5 classes), weight(3 classes), clothing(... [more] | PRMU2015-124 MVE2015-46 pp.169-173 |
|
| VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM (Joint) [detail] |
2015-12-02 16:20 |
Nagasaki | Nagasaki Kinro Fukushi Kaikan | Sleep Control Using Virtual Ground Voltage Detection For Fine-Grain Power Gating Masaru Kudo, Kimiyoshi Usami (Shibaura Institute of Tech.) VLD2015-57 DC2015-53 |
This paper describes a sleep control technique using leakage monitor circuit to implement Fine-Grain Power Gating (FGPG)... [more] | VLD2015-57 DC2015-53 pp.129-134 |
| KBSE | 2015-03-05 13:00 |
Tokyo | The University of Electro-Communications | Fine-Grained Analysis of the Class Diagram Creation Process Takafumi Tanaka (TGU), Hiroaki Hashiura (NIT), Atsuo Hazeyama (TGU), Seiichi Komiya (NII) KBSE2014-54 |
It is important for software engineers to have modeling skills that understand or abstract essence of problems. Exercise... [more] | KBSE2014-54 pp.13-18 |
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