Information and Systems-Image Engineering(Date:2017/10/12)

Presentation
[Tutorial Lecture] Families of GANs

Tomohiro Takahashi(ABEJA),  

[Date]2017-10-12
[Paper #]PRMU2017-80
Online Human Action Detection using Deep Spatio-temporal Transformation

Yukihide Takagaki(TUT),  Masaki Aono(TUT),  

[Date]2017-10-12
[Paper #]PRMU2017-68
[Short Paper] Research of Automatic Scene Segmentation for Video Summary Generation based on Deep Learning

Yuki Futami(Kagoshima Univ.),  Masayuki Kashima(Kagoshima Univ.),  Shinya Fukumoto(Kagoshima Univ.),  Kiminori Sato(Kagoshima Univ.),  Mutsumi Watanabe(Kagoshima Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-78
Research on Automatic Nervous State Estimation based on Time-Series Deep Learning

Kanji Yamaguchi(Kagoshima Univ.),  Masayuki Kashima(Kagoshima Univ.),  Shinya Fukumoto(Kagoshima Univ.),  Kiminori Satou(Kagoshima Univ.),  Mutsumi Watanabe(Kagoshima Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-64
Extracting photographic subjects with deep learning and automatically select to best composition

Soma Nagadome(Osaka Pref. Univ.),  Shigeki Aoki(Osaka Pref. Univ.),  Takao Miyamoto(Osaka Pref. Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-65
Generalized Subclass Method for Multi-label Classification

Batzaya Norov-Erdene(Hokkaido Univ.),  Mineichi Kudo(Hokkaido Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-74
An Effective De-noising Algorithm for Making A Large Celebrity Face Dataset with A High Purity

Zheng Ge(Waseda Univ.),  Quan Cui(Waseda Univ.),  Rong Xu(Datasection Inc.),  Masahiro Imai(Datasection Inc.),  Osamu Yoshie(Waseda Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-67
Research on Adaptive Assistance Based on Situation Recognition of Robot

Takaya Ono(Kagoshima Univ.),  Masayuki Kashima(Kagoshima Univ.),  Shinya Fukumoto(Kagoshima Univ.),  Kiminori Sato(Kagoshima Univ.),  Mutsumi Watanabe(Kagoshima Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-76
Entanglement Entropic Convolutional Neural Network

Shu Eguchi(Fukuoka Univ.),  Masaru Tanaka(Fukuoka Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-73
Accelerating Convolutional Neural Networks Using Low-Rank Tensor Decomposition

Kazuki Osawa(Tokyo Inst. of Tech.),  Akira Sekiya(Tokyo Inst. of Tech.),  Hiroki Naganuma(Tokyo Inst. of Tech.),  Rio Yokota(Tokyo Inst. of Tech.),  

[Date]2017-10-12
[Paper #]PRMU2017-63
Self-state-aware convolutional neural network for autonomous driving

Takuya Murase(Chubu Univ.),  Tsubasa Hirakawa(Chubu Univ.),  Takayoshi Yamashita(Chubu Univ.),  Hironobu Fujiyoshi(Chubu Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-77
[Short Paper] A Study on Manga Object Recognition Mechanism by Convolution Neural Network

Hideaki Yanagisawa(Waseda Univ.),  Takuro Yamashita(Waseda Univ.),  Hiroshi Watanabe(Waseda Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-79
Indoor Area Estimation Using Convolutional Neural Network with Spectrogram of Environmental Ultrasound

Tatsuro Tsuchiya(Chiba Univ.),  Takeshi Umezawa(Chiba Univ.),  Noritaka Osawa(Chiba Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-69
The Effectiveness of CNN feature for mutual subspace method

Taku Nakayama(Univ. Tsukuba),  Kazuhiro Fukui(Univ. Tsukuba),  

[Date]2017-10-12
[Paper #]PRMU2017-71
Face identification based on shape spaces randomly generated from facial minute feature points

Kazuki Takasaka(Tsukuba Univ.),  Kazuhiro Fukui(Tsukuba Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-66
PyramidNetに対する新たな確率的正則化手法ShakeDropの提案

Yoshihiro Yamada(Osaka Pref. Univ.),  Masakazu Iwamura(Osaka Pref. Univ.),  Koichi Kise(Osaka Pref. Univ.),  

[Date]2017-10-12
[Paper #]PRMU2017-72
CNN-based Estimation of Food Calories for Multiple-dish Food Photos

Takumi Ege(UEC),  Keiji Yanai(UEC),  

[Date]2017-10-12
[Paper #]PRMU2017-75
Implementation and Performance Analysis of iOS Deep Learning Application using CoreML

Ryosuke Tanno(UEC),  Yuki Izumi(UEC),  Keiji Yanai(UEC),  

[Date]2017-10-12
[Paper #]PRMU2017-70
階層型Knowledge DistillationによるDNNのコンパクト化

Kenta Nishiyuki(Chubu Univ.),  Takayoshi Yamashita(Chubu Univ.),  Hironobu Fujiyoshi(Chubu Univ.),  

[Date]2017-10-13
[Paper #]PRMU2017-94
[Tutorial Lecture] Understanding Deep Neural Network to Solve the Technical and Social Issues

Takahiro Kubo(TIS),  

[Date]2017-10-13
[Paper #]PRMU2017-92
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