Personal Information
Unternehmen/Arbeitsplatz
Within 23 wards, Tokyo, Japan Japan
Beruf
PhD Student
Branche
Education
Webseite
wkentaro.com
Info
Kentaro Wada was born in Japan in 1994. He received his B.Sc. (2016) and M.Sc. (2018) from Mechanical Engineering and Computer Science Department in The University of Tokyo (UTokyo). In his research at UTokyo, he was working on learning-based scene understanding for robotic manipulation at JSK laboratory supervised by Prof. Masayuki Inaba and Prof. Kei Okada. For PhD from 2018, he joined Dyson Robotics Laboratory supervised by Prof. Andrew Davison and Dr. Stefan Leutenegger. He is now working on object-level semantic SLAM, which is potentially generally useful for robotic manipulation.
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CVIM#11 3. 最小化のための数値計算
sleepy_yoshi
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Vor 13 Jahren
MIRU2018 tutorial
Takayoshi Yamashita
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Vor 5 Jahren
[Dl輪読会]A simple neural network module for relational reasoning
Deep Learning JP
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Vor 6 Jahren
20180115_東大医学部機能生物学セミナー_深層学習の最前線とこれから_岡野原大輔
Preferred Networks
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Vor 6 Jahren
Learning Convolutional Neural Networks for Graphs
Takuya Akiba
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Vor 7 Jahren
分散深層学習 @ NIPS'17
Takuya Akiba
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Vor 6 Jahren
An overview of gradient descent optimization algorithms
Hakky St
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Vor 7 Jahren
20090924 姿勢推定と回転行列
Toru Tamaki
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Vor 11 Jahren
論文紹介"DynamicFusion: Reconstruction and Tracking of Non-‐rigid Scenes in Real-‐Time"
Ken Sakurada
•
Vor 8 Jahren
Surface Normal Prediction using Hypercolumn Skip-Net & Normal-Depth
Chinghang chen
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Vor 7 Jahren
現在のDNNにおける未解決問題
Daisuke Okanohara
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Vor 8 Jahren
IIBMP2016 深層生成モデルによる表現学習
Preferred Networks
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Vor 7 Jahren
30th コンピュータビジョン勉強会@関東 DynamicFusion
Hiroki Mizuno
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Vor 8 Jahren
CVPR 2016 速報
Hirokatsu Kataoka
•
Vor 7 Jahren
ECCV 2016 速報
Hirokatsu Kataoka
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Vor 7 Jahren
猫でも分かるVariational AutoEncoder
Sho Tatsuno
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Vor 7 Jahren
Whats the best micro-location technology? We compare: ibeacon, ble, nfc, qr and gps
Localz
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Vor 10 Jahren
Backpropagation in Convolutional Neural Network
Hiroshi Kuwajima
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Vor 10 Jahren
「深層学習」第６章 畳込みニューラルネット
Ken'ichi Matsui
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Vor 8 Jahren
論文紹介: Fast R-CNN&Faster R-CNN
Takashi Abe
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Vor 8 Jahren