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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 [detail] | 2023-03-02 09:20 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Relation Between Shape/Texture Biases and Double-Descent Phenomenon in Visual Recognition Shuya Takahashi (Tokyo Denki Univ./AIST), Nakamasa Inoue, Rio Yokota (Tokyo Tech), Hirokatsu Kataoka (AIST), Eisaku Maeda (Tokyo Denki Univ.)  PRMU2022-60 IBISML2022-67 |
Under certain conditions, the learning performance of machine learning undergoes a strange phenomenon called double-desc... [more] | PRMU2022-60 IBISML2022-67 pp.13-16 |
| PRMU | 2022-12-16 11:00 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
[Short Paper]
Contrastive Learning using Adversarial Metric Learning Modules for Robust Image Recognition Yoshifumi Sugiyama (Tokyo Tech), Hirokatsu Kataoka (AIST), Rio Yokota, Nakamasa Inoue (Tokyo Tech) PRMU2022-47 |
[more] | PRMU2022-47 pp.81-84 |
| PRMU | 2022-12-16 15:10 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
[Short Paper]
Cosine Similarity Based Attention on a Hypersphere for Vision Transformers Jungdae Lee, Rei Kawakami, Nakamasa Inoue (Tokyo Tech) PRMU2022-52 |
The success of Vision Transformers in computer vision is usually attributed to its distinct structure of self-attention ... [more] | PRMU2022-52 pp.106-109 |
| 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 |
| PRMU | 2018-12-14 11:00 |
Miyagi | [Short Paper]
Skeleton-based Human Action Recognition with Fine-to-Coarse Convolutional Neural Network Thao Minh Le, Nakamasa Inoue, Koichi Shinoda (TokyoTech) PRMU2018-86 |
This work introduces a new framework for skeleton-based human action recognition. Existing approaches using Convolutiona... [more] | PRMU2018-86 pp.61-64 |
|
| PRMU | 2017-12-17 09:30 |
Kanagawa | Action Sequence Recognition in Videos by Combining a CTC Network with a Statistical Language Model Mengxi Lin, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) PRMU2017-101 |
Action sequence recognition aims to recognize what actions occur in a video and their temporal order. In this paper, we ... [more] | PRMU2017-101 pp.1-6 |
|
| PRMU, IPSJ-CVIM, MVE [detail] | 2017-01-20 13:00 |
Kyoto | A Report on MIRU2016 Young Researchers' Program Takuya Funatomi (NAIST), Masato Ishii (NEC), Nakamasa Inoue (Tokyo Tech), Asako Kanezaki (AIST), Kosuke Takahashi (NTT), Keisuke Doman (Chukyo Univ.), Takahiro Yoshioka (Fujitsu Labs.) PRMU2016-143 MVE2016-34 |
[more] | PRMU2016-143 MVE2016-34 pp.283-290 |
|
| PRMU | 2015-12-22 09:00 |
Nagano | Video Semantic Indexing Using Vocabulary Expansion Based on Word Vectors Nakamasa Inoue, Koichi Shinoda (TokyoTech) PRMU2015-105 |
(To be available after the conference date) [more] | PRMU2015-105 pp.75-80 |
|
| PRMU, CNR | 2015-02-20 09:30 |
Miyagi | Human Action Retrieval Based on Temporal Matching Mengxi Lin, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) PRMU2014-139 CNR2014-54 |
[more] | PRMU2014-139 CNR2014-54 pp.125-130 |
|
| PRMU, CNR | 2015-02-20 10:00 |
Miyagi | Spectral Graph Wavelets for Skeleton-based 3D Action Recognition Tommi Kerola, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) PRMU2014-140 CNR2014-55 |
[more] | PRMU2014-140 CNR2014-55 pp.131-136 |
|
| PRMU | 2014-03-13 10:00 |
Tokyo | Velocity Pyramid for Event Detection Zhuolin Liang, Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2013-170 |
In this paper, we propose a new motion feature, a velocity pyramid, for multimedia event detection. In an event which is... [more] | PRMU2013-170 pp.13-18 |
|
| PRMU | 2014-03-13 16:00 |
Tokyo | Neighbor-to-Neighbor Search for Fast Image Classification Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2013-184 |
(To be available after the conference date) [more] | PRMU2013-184 pp.97-102 |
|
| PRMU | 2013-02-22 14:00 |
Osaka | Video Semantic Indexing Using Video-Clip Scores and GMM Supervectors Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2012-168 |
We propose a video-semantic-indexing system using video-clip scores and Gaussian-mixture-model (GMM) supervectors. The g... [more] | PRMU2012-168 pp.173-178 |
|
| PRMU | 2013-02-22 15:00 |
Osaka | Multimedia event detection using camera motion cancelled features and GMM supervectors Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2012-170 |
The number of studies for event detection from Internet videos has been increasing. Here, an event is defined as a combi... [more] | PRMU2012-170 pp.185-190 |
|
| PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-02 10:30 |
Tokyo | q-Gaussian Mixture Models for Video Semantic Indexing Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2012-34 IBISML2012-17 |
Gaussian mixture models (GMMs) which extend the bag-of-visual-words (BoW) to a probabilistic framework have been proved ... [more] | PRMU2012-34 IBISML2012-17 pp.31-36 |
|
| PRMU, SP | 2012-02-10 14:50 |
Miyagi | Event detection from Video using GMM-Supervectors and SVMs Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech), Shunsuke Sato (Canon) PRMU2011-230 SP2011-145 |
In multimedia event detection, complex target events are detected from a large set of consumer domain videos taken in un... [more] | PRMU2011-230 SP2011-145 pp.195-200 |
|
| PRMU, FM | 2011-12-16 13:00 |
Shizuoka | Hamamatsu Campus, Shizuoka Univ. | [Special Talk]
Toward High-Performance Video Semantic Indexing Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) PRMU2011-140 |
TokyoTech, in collaboration with Canon Inc., achieved the best performance in the Semantic Indexing task of TRECVID2011 ... [more] | PRMU2011-140 pp.89-94 |
| PRMU, DE | 2011-06-07 13:30 |
Kanagawa | Fast Semantic Indexing Using Tree-structured GMMs Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) DE2011-19 PRMU2011-50 |
We propose a fast semantic indexing method for large scale video resources using tree-structured Gaussian mixture models... [more] | DE2011-19 PRMU2011-50 pp.105-110 |
|
| PRMU | 2011-02-17 13:50 |
Saitama | A Multi-modal, Multi-frame Approach for Semantic Indexing in TRECVID Nakamasa Inoue, Yusuke Kamishima, Koichi Shinoda (Tokyo Tech) PRMU2010-212 |
We propose a multi-modal, multi-frame approach for semantic indexing in the TRECVID 2010 workshop. The goal of the seman... [more] | PRMU2010-212 pp.25-30 |
|
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-05 09:30 |
Fukuoka | Fukuoka Univ. | Multiple Kernel Learning for Generic Object Recognition Using SIFT Gaussian Mixture Models Nakamasa Inoue, Yusuke Kamishima, Koichi Shinoda, Sadaoki Furui (Tokyo Tech) PRMU2010-58 IBISML2010-30 |
We propose a statistical framework for generic object recognition using SIFT Gaussian mixture models (GMMs) and multiple... [more] | PRMU2010-58 IBISML2010-30 pp.7-12 |
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