Online edition: ISSN 2432-6380
[TOP] | [2016] | [2017] | [2018] | [2019] | [2020] | [2021] | [2022] | [Japanese] / [English]
PRMU2019-64
A Hybrid of Discriminative and Generative Neural Networks
Hideaki Hayashi, Seiichi Uchida (Kyushu Univ.)
pp. 1 - 4
PRMU2019-65
Font analysis
Daichi Haraguchi, Shota Harada, Brian Kenji Iwana, Seiichi Uchida (Kyushu Univ.)
pp. 5 - 10
PRMU2019-66
[Short Paper]
Few-shot Character Image Generation with Deep Metric Learning
Haruka Aoki, Koki Tsubota, Hikaru Ikuta, Kiyoharu Aizawa (Tokyo Univ.)
pp. 11 - 12
PRMU2019-67
[Short Paper]
Video Inpainting by Frame Alignment with Deformable Convolution
Yusuke Hara, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo)
pp. 13 - 14
PRMU2019-68
A Basic Study on Epipolar Geometry-based Ego-localization under Variable Illumination Conditions using a Far Infrared Camera
Haruya Kyutoku, Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.)
pp. 15 - 20
PRMU2019-69
Moment-Sentence Grounding from Temporal Action Proposal
Nao Yamada, Masaki Hayashi, Seito Kasai, Yoshimitsu Aoki (Keio Univ.)
pp. 21 - 26
PRMU2019-70
Multimodal Recipe Search and Image Generation by Disentangling Contents and Styles
Yu Sugiyama, Keiji Yanai (UEC)
pp. 27 - 32
PRMU2019-71
Image Synthesis Based on Style Features and Mask Images Using a Ramen Style Encoder
Jaehyeong Cho, Wataru Shimoda, Keiji Yanai (UEC)
pp. 33 - 38
PRMU2019-72
Egocentric pedestrian motion prediction by separately modeling body pose and position
Donghao Wu, Takuma Yagi, Yusuke Matsui, Yoichi Sato (the Univ. of Tokyo)
pp. 39 - 44
PRMU2019-73
Egocentric Action Recognition on Noisy Videos
Lijin Yang, Yifei Huang, Yusuke Sugano, Yoichi Sato (UTokyo)
pp. 45 - 50
PRMU2019-74
[Short Paper]
Feature Point Matching by Cycle Consistency
Naoaki Noguchi, Furuta Ryosuke, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UT)
pp. 51 - 52
PRMU2019-75
Investigation of Real-Time 3D Head Position Estimation for Gesture Interface for People with Motor Dysfunction
Yuki Ozawa (Tsukuba Univ./AIST), Ikushi Yoda (AIST)
pp. 53 - 58
PRMU2019-76
Projector Calibration using a Pinhole Mask Plate
Masatoki Sugimoto, Daisuke Iwai, Kosuke Sato (Osaka Univ.)
pp. 59 - 64
PRMU2019-77
Joint Estimation of Illumination Distribution and Response Function from Shadows
Takuto Nakashima, Ryo Matsuoka, Takahiro Okabe (Kyutech)
pp. 65 - 70
PRMU2019-78
Metal Material Analysis using SEM Images of Multiple Magnifications
Ryunosuke Ito, Keisuke Kameyama (Univ. Tsukuba), Hideitsu Hino (ISM)
pp. 71 - 76
PRMU2019-79
Assessing robustness of deep learning methods in dermoscopic workflow
Sourav Mishra (Univ. of Tokyo), Hideaki Imaizumi (exMedio), Toshihiko Yamasaki (Univ. of Tokyo)
pp. 77 - 78
PRMU2019-80
Transforming Simulation Images to Real Scene Images and Planning Driving Routes by Deep Learning for Achieving Automatic Car Driving
Zhang Zelin, Jun Ohya (Waseda Univ.)
pp. 79 - 84
PRMU2019-81
[Short Paper]
Correspondence of 360 degree video with distorted floor map and provision of 3D information
Jack Chen, Naoki Sugimoto, Satoshi Ikehata, Kiyoharu Aizawa (Tokyo Univ.)
pp. 85 - 86
PRMU2019-82
(See Japanese page.)
pp. 87 - 92
PRMU2019-83
Fine-grained Image Recognition using Geo-spatial Concept Knowledge Graphs with Graph Convolutional Networks
Yuki Shigyo, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.)
pp. 93 - 98
PRMU2019-84
[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.)
pp. 99 - 100
PRMU2019-85
Faster Approximate Nearest Neighbor Search using Label Information of Images
Onur Guler, Yusuke Matsui, Yoichi Sato (UTokyo)
pp. 101 - 106
PRMU2019-86
Image compression by colorization
Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo)
pp. 107 - 108
PRMU2019-87
Continuous Variables Estimation Through Classification Networks Ensembles
Qianyuan Liu (Nagoya Univ.), Yu Wang, Jien Kato (Ritsumeikan Univ.)
pp. 109 - 114
PRMU2019-88
Object area extraction with biased training data set
Ryo Nakamura, Yoshiaki Ueda, Jun Fujiki, Masaru Tanaka (Fukuoka Univ)
pp. 115 - 119
PRMU2019-89
Rule Extraction from convolutional neural networks
-- Rule Extraction with A Pedagogical Method --
Yuya Sato (Tokyo Denki Univ), Hiroshi Tsukimoto (Tokyo Denki Univ.)
pp. 121 - 126
PRMU2019-90
Evaluation of Initial Value of Nelder-Mead Method in Hyperparameter Optimization of Deep Learning
Shintaro Takenaga (Kindai Univ), Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi (AIST), Hitoshi Habe (Kindai Univ)
pp. 127 - 132
PRMU2019-91
Deep neural network representation and learning of low-rank and sparse approximation
-- With application to celiac angiography under free breathing --
Ryohei Miyoshi, Tomoya Sakai (Nagasaki Univ.), Takashi Ohnishi, Hideaki Haneishi (Chiba Univ.)
pp. 133 - 138
PRMU2019-92
Semi-Supervised Temporal Segmentation of Industrial Operation Video based on Deep Metric Learning
Daiki Kawamori, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.)
pp. 139 - 144
PRMU2019-93
Generating a 3D face with k-anonymity using GAN
Ryosuke Kobayashi, Yuta Nakashima, Noboru Babaguchi (Osaka Univ.)
pp. 145 - 150
PRMU2019-94
Method of Cloning Attack against Image Recognizer and Its Countermeasure
Shouta Kinbara, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.)
pp. 151 - 156
PRMU2019-95
Applicability of Television Archives to the Support for Memory Loss Aiming at Risk and Disaster Prevention
Norio Katayama, Hiroshi Mo, Shin'ichi Satoh (NII)
pp. 187 - 189
PRMU2019-96
Pedestrian Detection using Wide and Narrow Area Networks
Misaki Kodaira (Nagoya Univ.), Yu Wang, Jien Kato (Ritsumeikan Univ.)
pp. 191 - 195
PRMU2019-97
Ego-centric Activity Recognition of Rescue Dogs by Integrating visual, audio and sensor information
Yuta Ide, Tsuyohito Araki (UEC), Ryunosuke Hamada, Kazunori Ohno (Tohoku Univ.), Keiji Yanai (UEC)
pp. 197 - 202
PRMU2019-98
Acceleration of Deep Learning Inference by Model Cascading
Shohei Enomoto, Takeharu Eda (NTT)
pp. 203 - 208
PRMU2019-99
Experimental Evaluation for Bayes Error Estimation Capability of Large Geometric Margin Minimum Classification Error Training
Ikuhiro Nishiyama (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.)
pp. 231 - 236
PRMU2019-100
Experimental Evaluation on Bayes Error Estimation Capability of Kernel Minimum Classification Error Training
Koji Yamada (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.)
pp. 237 - 242
PRMU2019-101
Study on Maximum Bayes Boundary-ness Training for Pattern Classification
Masahiro Senda, David Ha (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.)
pp. 243 - 248
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.