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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| PRMU | 2020-12-18 17:15 |
Online | Online | Rethinking the local similarity in content-based image retrieval Longjiao Zhao (Nagoya Univ.), Yu Wang (Ritsumeikan Univ), Yoshiharu Ishikawa (Nagoya Univ.), Jien Kato (Ritsumeikan Univ) PRMU2020-68 |
Recently, Convolutional Neural Networks(CNN) have shown good performance in the image retrieval task. Especially, local ... [more] | PRMU2020-68 pp.172-176 |
| ICD, SDM, ITE-IST [detail] | 2020-08-07 10:15 |
Online | Online | [Invited Talk]
Reservoir Computing using Hf0.5Zr0.5O2/Si FeFETs for Neuromorphic Applications Eishin Nako, Kasidit Toprasertpong, Ryosho Nakane, Zeyu Wang, Yuto Miyatake, Mitsuru Takenaka, Shinichi Takagi (Univ. Tokyo) SDM2020-7 ICD2020-7 |
[more] | SDM2020-7 ICD2020-7 pp.31-36 |
| PRMU, IPSJ-CVIM | 2020-05-14 13:30 |
Online | Online | Human Action Recognition with Two-stream 3D BagNet Junya Uchida, Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2020-3 |
We propose the Two-stream 3D BagNet for the human action recognition task. The proposed architecture is inspired by the ... [more] | PRMU2020-3 pp.13-17 |
| PRMU, IPSJ-CVIM | 2020-05-15 09:35 |
Online | Online | Atmosphere Estimation in Conversation Scenes with Social Relations Runa Sugiyama, Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2020-5 |
The objective of this work is to estimate the atmosphere of the conversation scenes. Because the atmosphere is a subject... [more] | PRMU2020-5 pp.23-28 |
| PRMU, IPSJ-CVIM | 2020-03-16 17:00 |
Kyoto | (Cancelled but technical report was issued) |
Continuous Variables Estimation Through Classification Networks Ensembles Qianyuan Liu (Nagoya Univ.), Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2019-87 |
With the development of deep learning, CNNs have shown outstanding performance on various tasks. Previous approaches fin... [more] | PRMU2019-87 pp.109-114 |
| PRMU, IPSJ-CVIM | 2020-03-17 15:30 |
Kyoto | (Cancelled but technical report was issued) |
Pedestrian Detection using Wide and Narrow Area Networks Misaki Kodaira (Nagoya Univ.), Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2019-96 |
[more] | PRMU2019-96 pp.191-195 |
| ICSS, IPSJ-SPT | 2020-03-03 16:00 |
Okinawa | Okinawa-Ken-Seinen-Kaikan (Cancelled but technical report was issued) |
ICSS2019-106 |
[more] | ICSS2019-106 pp.335-340 |
| HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] | 2018-07-25 14:10 |
Hokkaido | Sapporo Convention Center | [Invited Talk]
Memory Lower Bounds of Reductions Revisited (from EUROCRYPT 2018) Yuyu Wang (Tokyo Tech/AIST/IOHK), Takahiro Matsuda, Goichiro Hanaoka (AIST), Keisuke Tanaka (Tokyo Tech) ISEC2018-24 SITE2018-16 HWS2018-21 ICSS2018-27 EMM2018-23 |
In this invited talk, we introduce the paper, “ Memory Lower Bounds of Reductions Revisited ” by Y. Wang, T. Matsuda, G.... [more] | ISEC2018-24 SITE2018-16 HWS2018-21 ICSS2018-27 EMM2018-23 p.93 |
| AP, SANE, SAT (Joint) |
2018-07-18 10:50 |
Hokkaido | Hokkaido Univ. | Theory of Hybrid Mode Waveguide for High XPD Dual Circular Polarization Communication Tianyu Wang (Tokyo Univ.), Hirobumi Saito (JAXA) AP2018-44 SANE2018-22 |
[more] | AP2018-44 SANE2018-22 pp.13-17(AP), pp.1-5(SANE) |
| PRMU, BioX | 2018-03-18 16:10 |
Tokyo | Pedestrian Detection with Multi-level Deep Features Misaki Kodaira, Yu Wang, Jien Kato (Nagoya Univ.) BioX2017-52 PRMU2017-188 |
In this research, we aim to clarify effective application of CNN features in pedestrian detection. In the experiment, fe... [more] | BioX2017-52 PRMU2017-188 pp.97-102 |
|
| PRMU, BioX | 2018-03-18 16:45 |
Tokyo | Image Retrieval with Augmented Fine-tuned CNN Features Zhao Longjiao, Yu Wang, Jien Kato (Nagoya Univ.) BioX2017-55 PRMU2017-191 |
Recently, pre-trained CNN features have shown a good performance on the content-based image retrieval task. In this pape... [more] | BioX2017-55 PRMU2017-191 pp.115-119 |
|
| EMCJ, MICT (Joint) |
2018-03-16 13:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Evaluation of Differential Skew Depending on Rotation Angle in Printed Circuit Board with Meshed Ground Plane Chenyu Wang, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.) EMCJ2017-109 |
In general, the rotation angle between the differential transmission lines and the meshed ground of a flexible printed c... [more] | EMCJ2017-109 pp.25-30 |
| PRMU, CNR | 2018-02-20 10:00 |
Wakayama | Pose estimation of daily containers using RGB-D Camera Guang Yang, Shuoyu Wang, Bo Shen (Kochi Univ. of Tech.) PRMU2017-160 CNR2017-38 |
[more] | PRMU2017-160 CNR2017-38 pp.89-91 |
|
| 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 |
|
| PRMU | 2017-12-17 11:00 |
Kanagawa | BOJ253
-- A Large-scale Dataset for Butterfly Recognition -- Ruisheng Qin, Yu Wang, Jien Kato (Nagoya Univ.) PRMU2017-104 |
The purpose of this paper is to introduce a large-scale butterflies’ image dataset for butterfly recognition. The datase... [more] | PRMU2017-104 pp.19-24 |
|
| PRMU | 2017-12-17 16:30 |
Kanagawa | Estimation of cumbersome situation using in-vehicle camera image and Liders data Hiroki Mitsui, Yu Wang, Jien Kato (Nagoya Univ.) PRMU2017-110 |
In recent years, researches have been actively conducted to assist driving and driving of cars, including detection of p... [more] | PRMU2017-110 pp.59-63 |
|
| ISEC | 2017-05-12 17:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Talk]
How to Obtain Fully Structure-Preserving (Automorphic) Signatures from Structure-Preserving Ones Yuyu Wang (Tokyo Tech/AIST), Zongyang Zhang (Beihang University), Takahiro Matsuda, Goichiro Hanaoka (AIST), Keisuke Tanaka (Tokyo Tech) ISEC2017-12 |
In this paper, we bridge the gap between structure-preserving signatures (SPSs) and fully structure-preserving signature... [more] | ISEC2017-12 p.63 |
| PRMU, CNR | 2017-02-18 14:10 |
Hokkaido | Fine-grained Pedestrian Classification by Fusing Multiple CNN Models Yoshihito Kokubo, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2016-166 CNR2016-33 |
Fine-grained categories of pedestrians lead to higher level understanding on pedestrians as well as their activities, th... [more] | PRMU2016-166 CNR2016-33 pp.81-85 |
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| PRMU, CNR | 2017-02-18 14:35 |
Hokkaido | Part-aware CNN for Pedestrian Detection Cong Cao, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2016-167 CNR2016-34 |
Pedestrian detection is a significant task in computer vision. In recent years, it is widely used in the applications su... [more] | PRMU2016-167 CNR2016-34 pp.87-90 |
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