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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-19 13:45 |
Hokkaido | Hokkaido Univ. | CLIP-based Zero-shot In-Distribution Detection Atsuyuki Miyai, Qing Yu (UTokyo), Go Irie (TUS), Kiyoharu Aizawa (UTokyo)  ITS2023-53 IE2023-42 |
Extracting in-distribution (ID) images from noisy images scraped from the Internet is an important preprocessing for con... [more] | ITS2023-53 IE2023-42 pp.40-45 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 10:00 |
Hokkaido | Hokkaido Univ. | ITS2022-60 IE2022-77 |
Unsupervised domain adaptation (UDA) is extremely effective for transferring knowledge from a label-rich source domain t... [more] | ITS2022-60 IE2022-77 pp.101-106 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 10:45 |
Online | Online | ITS2021-46 IE2021-55 |
There has been a tremendous progress in unsupervised domain adaptation (UDA), which aims to transfer knowledge acquired ... [more] | ITS2021-46 IE2021-55 pp.127-132 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 13:15 |
Online | Online | Noise-Resistant Learning for Object Detection Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2021-52 IE2021-61 |
Supervised training of object detectors requires well-annotated large-scale datasets, whose production is extremely expe... [more] | ITS2021-52 IE2021-61 pp.163-166 |
| PRMU, IPSJ-CVIM | 2020-03-16 16:20 |
Kyoto | (Cancelled but technical report was issued) |
[Short Paper]
Aleatoric Uncertainty Estimation Based on Separate Formulation Takumi Kawashima, Qing Yu (Tokyo Univ.), Akari Asai (.UW), Daiki Ikami (NTT/Tokyo Univ.), Kiyoharu Aizawa (Tokyo Univ.) PRMU2019-84 |
(To be available after the conference date) [more] | PRMU2019-84 pp.99-100 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-28 15:40 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
Multi-Task Curriculum Learning for Open-Set Semi-Supervised Recognition Qing Yu (Tokyo Univ.), Go Irie (NTT), Kiyoharu Aizawa (Tokyo Univ.) ITS2019-54 IE2019-92 |
[more] | ITS2019-54 IE2019-92 pp.323-328 |
| OFT, OPE, OCS (Joint) [detail] |
2013-03-01 10:50 |
Tokyo | An MMI-based Polarization Splitter Using Patterned Metal and Angled Joint Keisuke Kojima (MERL), Satoshi Nishikawa, Eiji Yagyu (Mitsubishi), Wangqing Yuan, Bingnan Wang, Toshiaki Koike-Akino, Kieran Parsons (MERL) OCS2012-106 OFT2012-82 OPE2012-200 |
We have proposed a polarization beam splitter consisting of MMI with angled joint and metal layer made on an InP substra... [more] | OCS2012-106 OFT2012-82 OPE2012-200 pp.51-55(OCS), pp.71-75(OFT), pp.71-75(OPE) |
|
| ICD, IPSJ-ARC | 2008-05-14 10:30 |
Tokyo | PSI-SIM: Performance Prediction for Peta-Scale Supercomputers with Thousands of Multi-core Processors Koji Inoue (Kyushu Univ.), Ryutaro Susukita (IST), Hisashige Ando, Shigeru Ishizuki, Hidemi Komatsu (Fujitsu), Yuichi Inadomi, Hiroaki Honda (Kyushu Univ.), Shuji Yamamura (Fujitsu), Hidetomo Shibamura (ISIT), Yunqing Yu, Mutsumi Aoyagi (Kyushu Univ.), Yasunori Kimura (Fujitsu), Kazuaki Murakami (Kyushu Univ.) |
This paper proposes a novel approach to predict the performance of peta-scale supercomputers. It is not easy to accurate... [more] | ICD2008-27 pp.51-56 |
|
| CPSY | 2007-10-26 10:20 |
Kumamoto | Kumamoto University | PSI-NSIM: A Parallel Interconnection Network Simulator for Performance Analysis of Large-scale Parallel Systems Hidetomo Shibamura (ISIT), Ryutaro Susukita (Fukuoka IST), Hiroaki Honda, Yuichi Inadomi, Yunqing Yu, Koji Inoue, Mutsumi Aoyagi (Kyushu Univ.) CPSY2007-32 |
This paper presents an interconnection network simulator, PSI-NSIM, toward designing and performance analysis of large-s... [more] | CPSY2007-32 pp.45-50 |
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