| Technical Committee on Pattern Recognition and Media Understanding (PRMU) |
[schedule] [select]
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| Chair |
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Yoichi Sato (Univ. of Tokyo) |
| Vice Chair |
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Akisato Kimura (NTT), Masakazu Iwamura (Osaka Pref. Univ.) |
| Secretary |
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Yusuke Uchida (Mobility Technologies), Takayoshi Yamashita (Chubu Univ.) |
| Assistant |
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Takashi Shibata (NTT), Masashi Nishiyama (Tottori Univ.) |
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| Conference Date |
Thu, Dec 17, 2020 10:00 - 18:00
Fri, Dec 18, 2020 10:00 - 18:00 |
| Topics |
Transfer learning and few shot learning |
| Conference Place |
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Copyright
and
reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Registration Fee |
This workshop will be held as the IEICE workshop in fully electronic publishing. Registration fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the registration fee page. We request the registration fee or presentation fee to participants who will attend the workshop(s) on PRMU. |
Thu, Dec 17 AM
10:00 - 12:00 |
| (1) |
10:00-10:15 |
Inter-intra Contrastive Framework for Self-supervised Spatio-temporal Learning  PRMU2020-38 |
Li Tao, Xueting Wang, Toshihiko Yamasaki (UTokyo) |
| (2) |
10:15-10:30 |
Synthesize talking anime-heads images by tunneling through human-heads domain PRMU2020-39 |
Shun Fujiuchi, Ryo Hachiuma, Kunihiro Hasegawa, Hideo Saito (Keio Univ.) |
| (3) |
10:30-10:45 |
Simultaneous learning of object foreground, pose and class using only class teacher PRMU2020-40 |
Shunsuke Yoneda (Tottori Univ.), Go Irie (NTT), Masashi Nisiyama, Yoshio Iwai (Tottori Univ.) |
| (4) |
10:45-11:00 |
Simultaneous pose-region estimation for people tracking PRMU2020-41 |
Kazuhiko Watanabe, Toshikazu Wada (Wakayama Univ.) |
| (5) |
11:00-11:15 |
Fast algorithm for low-rank tensor completion in multi-way delay embedded space PRMU2020-42 |
Ryuki Yamamoto, Tatsuya Yokota (Nagoya Institute of Tech.), Akira Imakura (Univ. of Tsukuba), Hidekata Hontani (Nagoya Institute of Tech.) |
| (6) |
11:15-11:30 |
A Novel Data Augmentation Framework Based on SeqGAN for Sentiment Analysis PRMU2020-43 |
Jiawei Luo, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) |
| (7) |
11:30-12:00 |
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| |
12:00-13:30 |
Break ( 90 min. ) |
Thu, Dec 17 PM
13:30 - 14:30 |
| (8) |
13:30-14:30 |
[Invited Talk]
TBA |
Kota Matsui (Nagoya Univ.) |
| |
14:30-14:40 |
Break ( 10 min. ) |
Thu, Dec 17 PM
14:40 - 16:10 |
| (9) |
14:40-14:55 |
Belonging Network
-- Few-shot One-class Image Classification for Classes with Various Distributions -- PRMU2020-44 |
Takumi Ohkuma, Hideki Nakayama (UT) |
| (10) |
14:55-15:10 |
Improving the accuracy of unsupervised segmentation by introducing a Laplacian filter loss function
-- Application to automotive wire harness components -- PRMU2020-45 |
Yuki Matsumoto (SEI) |
| (11) |
15:10-15:25 |
Hierarchical Contrastive Adaptation for Cross-Domain Object Detection PRMU2020-46 |
Ziwei Deng, Quan Kong, Naoto Akira, Tomoaki Yoshinaga (Hitachi) |
| (12) |
15:25-15:40 |
Visual inspection system with a small number of anomalous data using DevNet PRMU2020-47 |
Katsuhisa Kitaguchi, Yohei Nishizaki, Mamoru Saito (ORIST) |
| (13) |
15:40-16:10 |
|
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16:10-16:20 |
Break ( 10 min. ) |
Thu, Dec 17 PM
16:20 - 18:00 |
| (14) |
16:20-16:30 |
[Short Paper]
Few-Shot Incremental Learning by Unifying with Variational Autoencoder PRMU2020-48 |
Keita Takayama, Kuniaki Uto, Koichi Shinoda (TokyoTech) |
| (15) |
16:30-16:45 |
Towards Discovery of Relevant Latent Factors with Limited Data PRMU2020-49 |
Mohit Chhabra, Quan Kong, Tomoaki Yoshinaga (Hitachi) |
| (16) |
16:45-17:00 |
Vehicle detection using visualization of deep learning from in-vehicle night-time camera image PRMU2020-50 |
Tatsuya Oyabu, Gosuke Ohashi (Shizuoka Univ.) |
| (17) |
17:00-17:15 |
Learning Method for Ambiguous Lesion Boundaries in Endoscopy Images PRMU2020-51 |
Yuta Kochi (Univ. of Tsukuba/AIST), Hirokazu Nosato (AIST), Atsushi Ikeda (Univ. of Tsukuba Hosp.), Hidenori Sakanashi (AIST) |
| (18) |
17:15-17:30 |
Transfer learning from sparse models
-- Two approaches and optimization issues -- PRMU2020-52 |
Tomoya Sakai, Rabi Yamada, Ryoji Ishibashi, Hiroyuki Takada (Nagasaki Univ.) |
| (19) |
17:30-18:00 |
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Fri, Dec 18 AM
10:00 - 12:00 |
| (20) |
10:00-10:15 |
Report on MIRU 2020 Young Researchers Program PRMU2020-53 |
Yuzuko Utsumi (OPU), Takafumi Iwaguchi (Kyushu Univ.), Xueting Wang (Univ. of Tokyo), Masanori Suganuma (Tohoku Univ./RIKEN), Mai Nishimura (Kyoto Univ./OSX), Kensho Hara (AIST), Tsubasa Hirakawa (Chubu Univ.), Hiroshi Fukui (NEC) |
| (21) |
10:15-10:30 |
Corner point detection with reliability metric for homography warping of planer objects PRMU2020-54 |
Hiroya Fujiura, Toshikazu Wada (Wakayama Univ) |
| (22) |
10:30-10:45 |
Pear Flower Cluster Detection Method Using Deep Learning and Branch Extraction PRMU2020-55 |
Shunsuke Aoki, Tatsuya Yamazaki (Niigata Univ.) |
| (23) |
10:45-11:00 |
CNN and 2D BLSTM for Local Feature Extraction in Handwritten Mathematical Expression Recognition PRMU2020-56 |
Kei Morizumi, Cuong Tuan Nguyen, Ikuko Shimizu, Masaki Nakagawa (TUAT) |
| (24) |
11:00-11:15 |
Depth image prediction of transparent objects based on image-to-image translation PRMU2020-57 |
Ryo Iimori (KIT), Ryosuke Kubota, Kiyoshi Kogure (KIT) |
| (25) |
11:15-11:30 |
Supervised disentangled representation learning
-- Disentangling features using classifier -- PRMU2020-58 |
Shujiro Kuroda, Toshikazu Wada (Wakayama Univ.) |
| (26) |
11:30-12:00 |
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| |
12:00-13:15 |
Break ( 75 min. ) |
Fri, Dec 18 PM
13:15 - 14:15 |
| (27) |
13:15-14:15 |
[Invited Talk]
TBA |
Youichi Nonaka (Hitachi) |
| |
14:15-14:25 |
Break ( 10 min. ) |
Fri, Dec 18 PM
14:25 - 16:10 |
| (28) |
14:25-14:40 |
Zero-shot generative model considering attribute uncertainty PRMU2020-59 |
Yuta Sakai (Waseda Univ.), Kenta Mikawa (SIT), Masayuki Goto (Waseda Univ.) |
| (29) |
14:40-14:55 |
Construction of SSD model applied Feature Contraction and Rand Augment by small training data PRMU2020-60 |
Tomokazu Ozawa (UNICO), Yuki Matsumoto, Katsushi Miura (SEI), Takuya Okuno (SCE) |
| (30) |
14:55-15:10 |
Regularization Using Knowledge Distillation in Learning Small Datasets PRMU2020-61 |
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) |
| (31) |
15:10-15:25 |
A Hybrid Sampling Strategy for Improving the Accuracy of Image Classification with less Data PRMU2020-62 |
Ruiyun Zhu, Fumihiko Ino (Osaka Univ.) |
| (32) |
15:25-15:40 |
Multi-Task Attention Learning for Fine-grained Recognition PRMU2020-63 |
Dichao Liu (NU), Yu Wang (Rits), Kenji Mase (NU), Jien Kato (Rits) |
| (33) |
15:40-16:10 |
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| |
16:10-16:20 |
Break ( 10 min. ) |
Fri, Dec 18 PM
16:20 - 18:00 |
| (34) |
16:20-16:30 |
[Short Paper]
Case Discrimination: Self-supervised Learning for classification of Medical Image PRMU2020-64 |
Haohua Dong, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin (Zhejiang Univ.), Hongjie Hu, Xiujun Cai (Sir Run Run Shaw Hospital), Yen-Wei Chen (Ritsumeikan Univ.) |
| (35) |
16:30-16:45 |
Estimating 3D regions for grasping an object PRMU2020-65 |
Atsuki Tsukamoto, Kiyoshi Kogure (KIT) |
| (36) |
16:45-17:00 |
PRMU2020-66 |
Shohei Kubota, Hideaki Hayashi (Kyushu Univ.), Tomohiro Hayase (Fujitsu Lab.), Seiichi Uchida (Kyushu Univ.) |
| (37) |
17:00-17:15 |
An evaluation method of area detection AI based on contribution pattern variation with noise addition PRMU2020-67 |
Yasuhide Mori, Naofumi Hama, Masashi Egi (Hitachi) |
| (38) |
17:15-17:30 |
Rethinking the local similarity in content-based image retrieval PRMU2020-68 |
Longjiao Zhao (Nagoya Univ.), Yu Wang (Ritsumeikan Univ), Yoshiharu Ishikawa (Nagoya Univ.), Jien Kato (Ritsumeikan Univ) |
| (39) |
17:30-18:00 |
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| Announcement for Speakers |
| General Talk | Each speech will have 15 minutes for presentation. |
| Contact Address and Latest Schedule Information |
| PRMU |
Technical Committee on Pattern Recognition and Media Understanding (PRMU) [Latest Schedule]
|
| Contact Address |
Contact address: pr -or  zer   |
Last modified: 2020-12-23 20:03:52
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