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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 | 2021-12-16 16:45 |
Online | Online | Verification of Cyclical Annealing for Object-Oriented Representation Learning Atsushi Kobayashi (Waseda Univ.), Hideki Tsunashima (Waseda Univ./AIST), Takehiko Ohkawa (The Univ. of Tokyo), Hiroaki Aizawa (Hiroshima Univ.), Qiu Yue, Hirokatsu Kataoka (AIST), Shigeo Morishima (Waseda Univ.) PRMU2021-39 |
Object-oriented Representation Learning is a method for obtaining images for each object and background part from an ima... [more] | PRMU2021-39 pp.83-87 |
| PRMU, BioX | 2019-03-18 16:30 |
Tokyo | [Invited Talk]
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? (CVPR2018) Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh (AIST) |
[more] | ||
| PRMU | 2018-12-14 16:35 |
Miyagi | Vision and Language for Automatic Paper Summary Generation Shintaro Yamamoto, Yoshihiro Fukuhara (Waseda Univ.), Ryota Suzuki, Hirokatsu Kataoka (AIST), Shigeo Morishima (Waseda Research Institute for Science and Engineering) PRMU2018-95 |
In recent years, the number of papers in the field of computer science is explosively increasing and it takes enormous t... [more] | PRMU2018-95 pp.109-114 |
|
| PRMU, MI, IE, SIP | 2018-05-18 13:00 |
Gifu | [Invited Talk]
A Method of Group Survey Hirokatsu Kataoka (AIST) SIP2018-12 IE2018-12 PRMU2018-12 MI2018-12 |
[more] | SIP2018-12 IE2018-12 PRMU2018-12 MI2018-12 p.49 |
|
| PRMU | 2016-12-16 11:00 |
Tottori | Toward practices for cutting-edge of compuer vision
-- cvpaper.challenge in PRMU Grand Challenge 2016 -- Hirokatsu Kataoka, Soma Shirakabe, Yun He (AIST), Kaori Abe (TDU/AIST), Shunya Ueta (UT), Teppei Suzuki (Keio Univ./AIST), Yuta Matsuzaki, Kazushige Okayasu, Toshiyuki Yabe, Yoshihiro Kanehara, Hiroya Yatsuyanagi, Shinya Maruyama, Ryosuke Takasawa, Masataka Fuchida, Shinichiro Morita (TDU) PRMU2016-120 |
The paper gives futuristic top-10 challenges disscussed in the cvpaper.challenge. [more] | PRMU2016-120 pp.29-35 |
|
| PRMU | 2015-12-21 13:10 |
Nagano | [Special Talk]
cvpaper.challenge in CVPR2015
-- A review of CVPR2015 -- Hirokatsu Kataoka (AIST), Yudai Miyashita, Tomoaki Yamabe (TDU), Soma Shirakabe (UT), Shin'ichi Sato, Hironori Hoshino, Ryo Kato, Kaori Abe, Takaaki Imanari, Naomichi Kobayashi, Shinichiro Morita, Akio Nakamura (TDU) PRMU2015-103 |
[more] | PRMU2015-103 pp.25-51 |
|
| PRMU, BioX | 2015-03-19 16:10 |
Kanagawa | People Detection and Tracking by Spatio-Temporally Clustering Feature Points Huy Phan (Keio Univ.), Sho Isobe (OKI), Shota Takayama, Hirokatsu Kataoka (Keio Univ.), Naoki Kurita, Makoto Masuda (OKI), Yoshimitsu Aoki (Keio Univ) BioX2014-59 PRMU2014-179 |
The performance of detection and tracking systems greatly depends on the quality of its information sources. In general,... [more] | BioX2014-59 PRMU2014-179 pp.123-127 |
|
| PRMU, MI, IE | 2013-05-24 10:30 |
Aichi | Activity Recognition with Human Skeleton and Appearance Model Integration Hirokatsu Kataoka (Keio Univ.), Kenji Iwata, Yutaka Satoh (AIST), Yoshimitsu Aoki (Keio Univ.) IE2013-9 PRMU2013-2 MI2013-2 |
We present techniques for activity recognition integrating human skeleton and appearance. Joint positions and angles are... [more] | IE2013-9 PRMU2013-2 MI2013-2 pp.7-12 |
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