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Our recent works

Blogs


Preferred research Blog (日本語)


Preferred research Blog (英語)

 

Slides


Slide Share

 

 

Videos

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions
https://youtu.be/DGJazkyw0Ws

Deep Learning: IoT’s Driving Engine in Deep Learning Summit, San Francisco 2017
http://videos.re-work.co/videos/289-deep-learning-iot-s-driving-engine

Amazon Picking Challenge 2016 PFN pick task
https://www.youtube.com/embed/w7NgejZMSsA

Drone control based on Deep Reinforcement Learning in CEATEC JAPAN 2016
Introduction(Japanese) / Side view / Bird view
https://www.youtube.com/embed/2nO3hLPPEX4
https://www.youtube.com/embed/yFCCanSxOE4
https://www.youtube.com/embed/y-HkD3Z5cl8

Smart picking robot based on Deep learning in CEATEC JAPAN 2016
https://www.youtube.com/embed/MpWvJhznpQQ

Experimental result of CityScape datasets (segmentation) 2016 version
https://youtu.be/lGOjchGdVQs

 

Awards

ODSC East 2018, the Open Source Data Science Project Award (2018年5月)
https://opendatascience.com/odsc-east-2018-open-source-data-science-project-award-winner-the-chainer-framework/

2017 Japan-U.S. Innovation Awards「Emerging Leader Award」(2017年7月)
http://www.usjinnovate.org/

FT ArcelorMittal Boldness in Business Awards (2017年3月)
https://www.ft.com/content/d5608670-ed57-11e6-930f-061b01e23655
https://live.ft.com/Events/2017/FT-ArcelorMittal-Boldness-in-Business-Awards?=&v=5366219067001

第3回日本ベンチャー大賞「経済産業大臣賞」(2017年2月)
http://www.meti.go.jp/press/2016/02/20170220006/20170220006.html

第1回JEITAベンチャー賞(2016年3月)
http://www.jeita.or.jp/cps/activity/venture/

Forbes JAPAN’s CEO OF THE YEAR 2016「最もイノベーティブなスタートアップ1位」(2016年9月)
http://forbesjapan.com/articles/detail/13729

IT Pro EXPO Award 2014優秀賞「ディープラーニングを応用した映像解析ソリューション」(2014年10月)
http://itpro.nikkeibp.co.jp/atcl/news/14/101601417/
http://itpro.nikkeibp.co.jp/atcl/column/14/103000088/111100011

 

Publications

Fabrice Matulic
ColourAIze: AI-Driven Colourisation of Paper Drawings with Interactive Projection System, to appear at ISS 2018

Drini Cami, Fabrice Matulic, Richard G. Calland, Brian Vogel, Daniel Vogel
Unimanual Pen+Touch Input Using Variations of Precision Grip Postures, UIST 2018

Jun Hatori, Yuta KikuchiSosuke KobayashiKuniyuki Takahashi, Yuta Tsuboi, Yuya Unno, Wilson Ko, Jethro Tan
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions, Best Paper Award on Human-Robotics Interaction in ICRA 2018

Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida
Spectral Normalization for Generative Adversarial Networks, ICLR 2018

Takeru Miyato, Masanori Koyama
cGANs with Projection Discriminator, ICLR 2018

Yusuke Tsuzuku, Hiroto Imachi, Takuya Akiba
Variance-based Gradient Compression for Efficient Distributed Deep Learning, Invited to Workshop in ICLR 2018

Sosuke Kobayashi
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations, NAACL HLT 2018

Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David J. Crandall
Minimizing Supervision for Free-space Segmentation, Workshop on Autonomous Driving in CVPR 2018

Fabrice Matulic, Daniel Vogel
Multiray: Multi-Finger Raycasting for Large Vertical Displays, Honourable Mention in CHI 2018

Yasuhiro Fujita, Shin-ichi Maeda.
Clipped Action Policy Gradient, ICML 2018

Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui
Unsupervised Learning of Style-sensitive Word Vectors
, ACL 2018

Takuya Akiba, Keisuke Fukuda, Shuji Suzuki
ChainerMN: Scalable Distributed Deep Learning Framework, ML Systems Workshop in NIPS 2017

Ryosuke Okuta, Yuya Unno, Daisuke Nishino, Shohei Hido, Crissman Loomis
CuPy: A Numpy-compatible Library for NVIDIA GPU Calculations, ML Systems Workshop in NIPS 2017

Hai Nguyen, Shin-ichi Maeda, Kenta Oono
Semi-supervised learning of hierarchical representations of molecules with neural message passing,  Machine Learning for Molecules and Materials in NIPS 2017

Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
Neural Sequence Model Training via α-divergence Minimization, Workshop on Learning to Generate Natural Language in ICML 2017

Masaki Saito, Eiichi Matsumoto, Shunta Saito
Temporal Generative Adversarial Nets with Singular Value Clipping, ICCV 2017

E. Matsumoto, M. Saito, A. Kume, J. Tan
End-to-End Learning of Object Grasp Poses in the Amazon Robotics Challenge. In Warehouse Picking Automation Workshop, ICRA 2017 Workshop

Hitoshi Kusano, Ayaka Kume, Eiichi Matsumoto, Jethro Tan
FCN-Based 6D Robotic Grasping for Arbitrary Placed Objects, ICRA 2017 Workshop

Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama
Synthetic Gradient Methods with Virtual Forward-Backward Networks, ICLR2017 Workshop

Satoshi Tsutsui, Tommi Kerola, Shunta Saito
Distantly Supervised Road Segmentation, Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving in ICCV 2017

Seiya Tokui, Issei Sato
Evaluating the Variance of Likelihood-Ratio Gradient Estimators, ICML 2017

Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
Learning Discrete Representations via Information Maximizing Self Augmented Training, ICML 2017

Seiya Tokui, Kenta Oono, Atsunori Kanemura
Deep Learning Implementations and Frameworks, AAAI 2017 Tutorial

坪井 祐太海野 裕也、鈴木 潤
講談社「深層学習による自然言語処理」(シリーズ 機械学習プロフェッショナルシリーズ)

前田 新一藤田 康博 他
共立出版「速習強化学習―基礎理論とアルゴリズム―」(Algorithms for Reinforcement Learningの翻訳本)

Seiya Tokui, Kenta Oono, Atsunori Kanemura, Toshihiro Kamishima
Deep Learning Implementations and Frameworks, PAKDD 2016 Tutorial

Kenta Oono, Yuichi Yoshida
Testing properties of functions on finite groups, Random Structures & Algorithms 2016, Journal Article

Seiya Tokui, Kenta Oono, Shohei Hido, Justin Clayton
Chainer: a Next-Generation Open Source Framework for Deep Learning, Workshop on Machine Learning System in NIPS 2015

海野 裕也岡野原 大輔得居 誠也、徳永 拓之
講談社「オンライン機械学習」(シリーズ 機械学習プロフェッショナルシリーズ)

前田 新一岡野原 大輔
近代科学社「深層学習/Deep Learning