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Technical Committee on Pattern Recognition and Media Understanding (PRMU) (Searched in: 2018)
Search Results: Keywords 'from:2019-03-17 to:2019-03-17'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, BioX | 2019-03-18 10:00 |
Tokyo | A Study of Comparison of Learning Algorithms for Pedestrian Identification Using 3-Axis Accelerometer of Smartphone Meng Cui, Yuji Watanabe (Nagoya City Univ.)  BioX2018-48 PRMU2018-152 |
We have acquired triaxial acceleration from a smartphone device and have identified subjects during walking． In the prev... [more] | BioX2018-48 PRMU2018-152 pp.113-118 |
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| PRMU, BioX | 2019-03-18 10:15 |
Tokyo | Estimation of changing regions for highly accurate weakly-supervised semantic segmentation Wataru Shimoda, Keiji Yanai (UEC) BioX2018-49 PRMU2018-153 |
[more] | BioX2018-49 PRMU2018-153 pp.119-124 |
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| PRMU, BioX | 2019-03-18 10:30 |
Tokyo | Gait Recognition Based on Constraint Mutual Subspace Method with CNN Features Akinari Sakai, Naoya Sogi, Kazuhiro Fukui (University of Tsukuba) BioX2018-50 PRMU2018-154 |
In this paper, we propose a high performance gait recognition framework. In recent years, the gait recognition has attra... [more] | BioX2018-50 PRMU2018-154 pp.125-130 |
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| PRMU, BioX | 2019-03-18 10:45 |
Tokyo | ADL Recognition based on Movement Trajectory of Hand and Object Recognition using Deep Learning for Self-Support Hiroki Kojima (OIT), Sho Ooi (Rits), Mutsuo Sano (OIT) BioX2018-51 PRMU2018-155 |
In our laboratory, we have been studying cognitive rehabilitation for patients with acquired brain injury and dementia b... [more] | BioX2018-51 PRMU2018-155 pp.131-136 |
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| PRMU, BioX | 2019-03-18 10:00 |
Tokyo | A Generative Self-Ensemble Approach to Simulated+Unsupervised Learning Yu Mitsuzumi (Kyoto Univ.), Go Irie (NTT), Atsushi Nakazawa (Kyoto Univ.), Akisato Kimura (NTT) BioX2018-52 PRMU2018-156 |
The simulated and unsupervised (S+U) learning framework is an effective approach in computer vision since it solves vari... [more] | BioX2018-52 PRMU2018-156 pp.137-142 |
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| PRMU, BioX | 2019-03-18 10:15 |
Tokyo | Talking Head Generation with Deep Phoneme and Viseme Representation and Generative Adversarial Networks Takaaki Yasui, Yuta Nakashima, Noboru Babaguchi (Osaka Univ.) BioX2018-53 PRMU2018-157 |
In this paper, we propose to generate talking head given an audio input.Some existing methods generate photorealistic ta... [more] | BioX2018-53 PRMU2018-157 pp.143-148 |
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| PRMU, BioX | 2019-03-18 10:30 |
Tokyo | BioX2018-54 PRMU2018-158 |
The Baum test is a psychological examination of a projection method. In a Baum test, the patient is requested to draw a ... [more] | BioX2018-54 PRMU2018-158 pp.149-154 |
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| PRMU, BioX | 2019-03-18 10:45 |
Tokyo | Additional Tasks for Image Recognition Yoshihiro Yamada, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.) BioX2018-55 PRMU2018-159 |
(To be available after the conference date) [more] | BioX2018-55 PRMU2018-159 pp.155-160 |
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| PRMU, BioX | 2019-03-18 13:00 |
Tokyo | [Invited Talk]
Using Machine Learning To Attack Against Personal Privacy
-- Models and Experiments Using Location Histories and Social Networks -- Hiroshi Yoshiura (UEC) BioX2018-56 PRMU2018-160 |
[more] | BioX2018-56 PRMU2018-160 p.161 |
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| PRMU, BioX | 2019-03-18 14:15 |
Tokyo | Accelerating deep detectors based on tensor decomposition Hiroshi Hashimoto, Hitoshi Imaoka (NEC) BioX2018-57 PRMU2018-161 |
(To be available after the conference date) [more] | BioX2018-57 PRMU2018-161 pp.163-168 |
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| PRMU, BioX | 2019-03-18 14:30 |
Tokyo | Dynamic Product Quantization for Large Scale Vector Matching Masaki Kondo, Kunio Osada (Toshiba Digital Solutions) BioX2018-58 PRMU2018-162 |
Finding nearest neighbor vectors is one of the fundamental issues in pattern recognition. Since large-scale data is wide... [more] | BioX2018-58 PRMU2018-162 pp.169-174 |
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| PRMU, BioX | 2019-03-18 14:45 |
Tokyo | Improvement of OMP Method for Compressed Sensing Shota Ishikawa, Waiyuan Wu (Wakayama Univ.) BioX2018-59 PRMU2018-163 |
[more] | BioX2018-59 PRMU2018-163 pp.175-180 |
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| PRMU, BioX | 2019-03-18 15:00 |
Tokyo | Reali-time Object Detection based on SSD Yuya Yamashige, Masaki Aono (TUT) BioX2018-60 PRMU2018-164 |
In recent years, attention has been paid to developing object detection methods from images, based on deep learning. In ... [more] | BioX2018-60 PRMU2018-164 pp.181-186 |
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| PRMU, BioX | 2019-03-18 14:15 |
Tokyo | Development of Personal Identification Application Using Flick Input Features on Android Device Toshiki Kobayashi, Yuji Watanabe (Nagoya City Univ.) BioX2018-61 PRMU2018-165 |
We have studied personal identification based on touch operation recorded by smartphone. In this study, assuming that th... [more] | BioX2018-61 PRMU2018-165 pp.187-192 |
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| PRMU, BioX | 2019-03-18 14:30 |
Tokyo | Optical flow extraction from natural movies
-- Comparison between Lucas-Kanade, Farnback, ext-VDUMP (pattent applied) method -- Wataru Suzuki, Noritaka Ichinohe (NCNP), Hiroshige Takeichi (RIKEN) BioX2018-62 PRMU2018-166 |
(To be available after the conference date) [more] | BioX2018-62 PRMU2018-166 pp.193-195 |
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| PRMU, BioX | 2019-03-18 14:45 |
Tokyo | [Short Paper]
A trial on sport-informatics Junnosuke Kado (Kyushu Univ.), Akinori Nagata (Chukyo Univ.), Takaaki Kato (Keio Univ.), Seiichi Uchida (Kyushu Univ.) BioX2018-63 PRMU2018-167 |
(To be available after the conference date) [more] | BioX2018-63 PRMU2018-167 pp.197-200 |
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| PRMU, BioX | 2019-03-18 14:55 |
Tokyo | [Short Paper]
Pose Estimation of Power Shovels with OpenPose Like Architecture Hinako Nakamura, Yumeno Tsukada, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) BioX2018-64 PRMU2018-168 |
In current pose estimation studies, bottom-up approaches estimating the pose from detected parts of the bodies and their... [more] | BioX2018-64 PRMU2018-168 pp.201-203 |
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| PRMU, BioX | 2019-03-18 15:50 |
Tokyo | BioX2018-65 PRMU2018-169 |
[more] | BioX2018-65 PRMU2018-169 p.205 |
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| PRMU, BioX | 2019-03-18 16:10 |
Tokyo | [Invited Talk]
Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition (BTAS 2018) Yasushi Makihara, Gakuto Ogi, Yasushi Yagi (Osaka Univ.) BioX2018-66 PRMU2018-170 |
In the gait recognition community, silhouette-based gait representations such as gait energy image have been widely empl... [more] | BioX2018-66 PRMU2018-170 p.207 |
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| 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] | ||
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