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Technical Committee on Pattern Recognition and Media Understanding (PRMU) (Searched in: 2019)
Search Results: Keywords 'from:2019-10-18 to:2019-10-18'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU | 2019-10-18 10:00 |
Tokyo | Human Perception of Fluid Viscosity Based on Optical Flow Wataru Suzuki (NCNP), Atsushi Hiyama (Univ. Tokyo), Wakayo Yamashita (Kagoshima Univ.), Noritaka Ichinohe (NCNP), Takeharu Seno (Kyushu Univ.), Hiroshige Takeichi (RIKEN)  PRMU2019-31 |
A psychophysical experiment was conducted for participants to view and rate viscosity of the simulated fluid in the vide... [more] | PRMU2019-31 pp.1-4 |
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| PRMU | 2019-10-18 10:15 |
Tokyo | PRMU2019-32 |
(To be available after the conference date) [more] | PRMU2019-32 pp.5-10 |
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| PRMU | 2019-10-18 10:30 |
Tokyo | Recognition of a Shogi phase image taken with a smartphone Akira Sato, Kei Morizumi, Ikuko Shimizu, Masaki Nakagawa (TUAT) PRMU2019-33 |
This paper reports recognition of Shogi phase images captured by a smartphone and transferred to our server. In these da... [more] | PRMU2019-33 pp.11-15 |
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| PRMU | 2019-10-18 10:45 |
Tokyo | [Short Paper]
An attribution-based pruning method for single object detection network Rui Shi, Tianxing Li, Yasushi Yamaguchi (UTokyo) PRMU2019-34 |
Deep neural networks (DNNs) have achieved advanced results on different vision tasks. However, the cost of high computat... [more] | PRMU2019-34 pp.17-20 |
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| PRMU | 2019-10-18 13:00 |
Tokyo | [Fellow Memorial Lecture]
What you read are thirty characters
-- Open problems in character image analysis research -- Seiichi Uchida (Kyushu Univ.) PRMU2019-35 |
(To be available after the conference date) [more] | PRMU2019-35 pp.21-26 |
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| PRMU | 2019-10-18 13:55 |
Tokyo | [Fellow Memorial Lecture]
Knowledge Acquisition and Media Search Based on Crossmodal Information Processing Kunio Kashino (NTT) PRMU2019-36 |
Media search can be roughly divided into two methods: a method in which fragments of media content are used as queries a... [more] | PRMU2019-36 p.27 |
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| PRMU | 2019-10-18 14:35 |
Tokyo | Parking Space Estimation using Lightweight Model Yoshihito Kokubo, Koki Ueda, Jun Adachi, Yoshihisa Suetsugu (Aisin Seiki) PRMU2019-37 |
[more] | PRMU2019-37 pp.29-34 |
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| PRMU | 2019-10-18 14:50 |
Tokyo | From Cats to Cars: A Data Set Generation Strategy for U-net based Autonomous Driving Hiroki Hiraoka, Atsushi Imiya (Chiba Univ.) PRMU2019-38 |
The deep convolutional neural networks (DCNNs) require data to supervise the network structures. A semi-automatic da... [more] |
PRMU2019-38 pp.35-40 |
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| PRMU | 2019-10-18 15:05 |
Tokyo | Study of Recognizing Road Surface Conditions using Deep Learning Applied for RGBD images Obtained from an Environmental Monitoring Robot
-- Comparative Studies of SegNet-Basic and ENet as well as Height and Surface Curvature Features -- Takuya Hayashi, Takeo Kaneko, Junya Morimoto (Waseda Univ.), Junji Yamato (Kogakuin Univ.), Hiroyuki Ishii, Jun Ohya, Atsuo Takanishi (Waseda Univ.) PRMU2019-39 |
An environmental monitoring robot that moves safely and autonomously needs a function to recognize the state of the grou... [more] | PRMU2019-39 pp.41-46 |
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| PRMU | 2019-10-18 16:00 |
Tokyo | Partial Shape Similarity Search using Topology of 3D CAD Models Wataru Iwabuchi, Masaki Aono (TUT) PRMU2019-40 |
In recent years, 3D models are used in various fields. Accordingly, the amount of 3D shape models available on the Inter... [more] | PRMU2019-40 pp.47-52 |
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| PRMU | 2019-10-18 16:15 |
Tokyo | Recovering Dynamic Trajectory from a handwritten character image using a Deep Neural Network Tsubasa Nakamura, Nguyen Tuan Cuong, Masaki Nakagawa (TUAT) PRMU2019-41 |
This paper presents a method to recover a dynamic trajectory from a handwritten character image using a deep neural netw... [more] | PRMU2019-41 pp.53-58 |
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| PRMU | 2019-10-18 16:30 |
Tokyo | PRMU2019-42 |
(To be available after the conference date) [more] | PRMU2019-42 pp.59-64 |
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| PRMU | 2019-10-19 10:30 |
Tokyo | Segmentation of Intervertebral Disks from Videofluorography by Optimization of Multi Channelization and CNN Ayano Fujinaka (Univ. of Tsukuba), Kojiro Mekata (Kobe Red Cross Hospi.), Hotaka Takizawa, Hiroyuki Kudo (Univ. of Tsukuba) PRMU2019-43 |
In this report, we propose a segmentation method of cervical intervertebral disks (IDs) in Videofluorography (VF) based ... [more] | PRMU2019-43 pp.65-66 |
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| PRMU | 2019-10-19 10:45 |
Tokyo | Localization of Diffuse Lung Deseases' Lesions and Quantification of Their Volumes Using Deep Learning Hiroaki Takebe, Yasutaka Moriwaki, Nobuhiro Miyazaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Hirotaka Kobayashi, Machiko Nakagawa, Masahiko Shimada, Kenji Kitayama (FUJITSU) PRMU2019-44 |
Changes in the amount of lesion over time are important information for diagnostic imaging of diffuse lung disease in wh... [more] | PRMU2019-44 pp.67-72 |
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| PRMU | 2019-10-19 11:00 |
Tokyo | Junya Hayashida, Kazuya Nishimura, Ryoma Bise (Kyushu Univ.) PRMU2019-45 |
(To be available after the conference date) [more] | PRMU2019-45 pp.73-77 |
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