Daiki Kimura  Daiki Kimura photo         

contact information

Research Scientist
IBM Research
  +81dash80dash6706dash5435

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Professional Associations

Professional Associations:  IEEE Member  |  Information Processing Society of Japan (IPSJ)  |  Robotics Society of Japan  |  The Japanese Society for Artificial Intelligence

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Internship at Tokyo: http://ibm.biz/trl-intern-info, or send me questions if you have.

 

Short Bio

Daiki Kimura is currently a Staff Research Scientist at IBM Research. He is researching about Neuro-symbolic AI, reinforcement learning, natural language processing, computer vision, and robotics. He received his D.Eng. from Tokyo Institute of Technology in 2015. During the period, he was also a Research Fellow of Japan Society for the Promotion of Science, a Research Intern at Microsoft Research Asia, and so on. He was a Research Scientist at Rakuten Institute of Technology from 2015. He joined IBM Research in 2016. He received Best Paper Award, Outstanding Young Researcher Award, Audience Award, and so on.

木村 大毅
現在、IBM東京基礎研究所 課長 専任研究員 博士(工学)。2015年 東京工業大学 博士課程修了。在学中、日本学術振興会 特別研究員等を兼任。また、Microsoft Research Asia等で研究インターンシップに参加。2015年 楽天技術研究所に入所。2016年 IBM 東京基礎研究所に入所、2020年 所長技術補佐員を兼任。最優秀学術賞、若手奨励賞、オーディエンス賞などを受賞。特に、ニューロシンボリックAIや、画像処理、言語処理などの研究に従事。また、中学校・高等学校教諭専修免許状（数学）を保有。

 

Awards and Funds

IBM Academic Ambassador Contribution Award
IBM Global University Programs, 2022

1st Prize of Excellent Paper Award
IEEE LifeTech, 2021

GM Award / 社長賞 - Technology Leadership
IBM Japan, 2019

Best Paper Award (top-1 in 126 papers)
Symposium on Sensing via Image Information, 2019

Audience Award (top-1 in 42 presentations)
Symposium on Sensing via Image Information, 2019

IEEE Award
IEICE Tokai-Section Joint Conference, 2018

Digital Signage Award - Interaction section (to AI Janken project)
Digital Signage Consortium, 2018

Research Fund for Young Scientists (KAKENHI)
2 million JPY / 1.5 years, Japan Society for the Promotion of Science, 2014

Outstanding Young Researcher Award
The Society of Instrument and Control Engineers, 2013

Special Award of Innovative Technologies (to SOINN technology)
Ministry of Economy Trade and Industry, Japan, 2013

Total Exemption from Scholarship Repayment by Top 10% Outstanding Achievements
Japan Student Services Organization, 2012

2nd of Graduated Students
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 2012

Best Demonstration Award
Meeting on Image Recognition and Understanding, 2012

Outstanding Paper Award
Symposium on Sensing via Image Information, 2011

JM English Learning Award
National Institute of Technology Tokyo College, 2007

 

Invited Talks and Professional Major Activities

Program Committee
International Joint Conference on Artificial Intelligence (IJCAI) 2023

Program Committee
AAAI Conference on Artificial Intelligence (AAAI) 2023

Lecturer
"Past, present, and future of humanity and our society with AI", Tohoku University, 2022

Organizing committee (Advisor of Local arrangement)
Symposium on Sensing via Image Information (SSII) 2022

Program Committee
International Joint Conference on Artificial Intelligence (IJCAI) 2022

Program Committee
AAAI Conference on Artificial Intelligence (AAAI) 2022

Lecturer
"Past, present, and future of humanity and our society with AI", Tohoku University, 2021

Organizing committee (Lead of Local arrangement)
Symposium on Sensing via Image Information (SSII) 2021

Program Committee
AAAI Conference on Artificial Intelligence (AAAI) 2021

Organizing committee (Local arrangement)
Symposium on Sensing via Image Information (SSII) 2020

Program Committee
International Joint Conference on Artificial Intelligence (IJCAI) 2020

Program Committee
IJCAI 2020 Workshop on Knowledge Based Reinforcement Learning

Program Committee
European Conference on Machine Learning (ECML) 2019

Reviewer for Conferences
EMNLP 2021-23, COLING 2022, MIRU 2022, SSRR 2020, ICPR 2020, IROS 2019, ICPR 2018, IROS 2017, etc.

Reviewer for Journals and Government funds
IEEE TCSVT, JSAI, IEEE SPL, NRF, IEEJ, IEICE

Invited Lecture
Technical Committee on Industrial Application of Image Processing, 2017

Assistant of Invited Talk
Cognizance at Indian Institute of Technology, Roorkee, India, 2014

Invited Robot Demonstration
Kshitij at Indian Institute of Technology, Kharagpur, India, 2013

Assistant of Invited Talk
Kshitij at Indian Institute of Technology, Kharagpur, India, 2013

Invited Robot Demonstration
Techfest at Indian Institute of Technology, Bombay, India, 2013

Assistant of Invited Talk
Techfest at Indian Institute of Technology, Bombay, India, 2013

Assistant of Invited Talk
Workshop on Adaptive and Learning Systems, Yale University, New Haven, USA, 2013

Assistant of Invited Talk
Kurukshetra at Anna University, Tamil Nadu, India, 2013

 

Working experience

Member of Invention Development Team on Neuro-Symbolic AI, Nov 2021 - Now
IBM Research, Global

Research Scientist, Oct 2016 - Now
IBM Research, Tokyo, Japan

Technical Assistant for Director of IBM Research Tokyo, Oct 2020 - Jun 2021
IBM Research, Tokyo, Japan

Research Scientist, Oct 2015 - Sep 2016
Rakuten Institute of Technology, Tokyo, Japan

Research Fellow for Young Scientists, Apr 2014 - Sep 2015
Japan Society for the Promotion of Science (JSPS), Tokyo, Japan

Research Assistant, Jun 2010 - Sep 2015
Tokyo Institute of Technology, Kanagawa, Japan

Research Intern, Sep 2014 - Dec 2014
Microsoft Research Asia, Beijing, China

Teaching and Research Assistant, Oct 2012 - Mar 2014
Tokyo Institute of Technology, Kanagawa, Japan

Member of Students Committee, Oct 2012 - Sep 2013
Tokyo Institute of Technology, Kanagawa, Japan

Research Intern, Sep 2014 - Dec 2014
University of Applied Sciences Northwestern Switzerland, Aargau, Switzerland

Part-time Lecturer, Nov 2008 - Feb 2014
Rinkai Seminar, Kanagawa, Japan

Intern, Sep 2007 - Oct 2007
TMC System, Kanagawa, Japan

 

Selected recent publications

 

Publications

  1. Kenta Yoshii, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Masatomo Kobayashi, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Miho Ota, Shinji Higashi, Kiyotaka Nemoto, Tetsuaki Arai, and Masafumi Nishimura, "Screening of Mild Cognitive Impairment Through Conversations With Humanoid Robots: Exploratory Pilot Study", JMIR Formative Research, Jan 2023.
  2. Tsunehiko Tanaka, Daiki Kimura, and Michiaki Tatsubori, "DiffG-RL: Leveraging Difference between Environment State and Common Sense", Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
  3. Subhajit Chaudhury, Sarathkrishna Swaminathan, Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, and Alexander Gray, "X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization", Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022.
  4. Tsunehiko Tanaka, Daiki Kimura, and Michiaki Tatsubori, "Reinforcement Learning with Common Sense from Visual Dataset", Meeting on Image Recognition and Understanding (MIRU), July 2022 [oral].
  5. Daiki Kimura, Tsunehiko Tanaka, Michiaki Tatsubori, and Asim Munawar, "Challenges in Explainability and Knowledge Extraction", NAACL workshop on Wordplay: When Language Meets Games, Jul 2022.
  6. Daiki Kimura, Subhajit Chaudhury, Sarathkrishna Swaminathan, Tsunehiko Tanaka, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, and Alexander Gray, "Reinforcement Learning by Neuro-Symbolic AI", Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Jun 2022.
  7. Tsunehiko Tanaka, Daiki Kimura, and Michiaki Tatsubori, "RL Agents with Commonsense Knowledge from Scene Graphs", Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Jun 2022.
  8. Tsunehiko Tanaka, Daiki Kimura, and Michiaki Tatsubori, "Commonsense Knowledge from Scene Graphs for Textual Environments", AAAI Workshop on Reinforcement Learning in Games, Mar 2022. 
  9. Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, and Alexander Gray, "Neuro-Symbolic Reinforcement Learning with First-Order Logic", Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021.
  10. Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, and Asim Munawar, "Neuro-symbolic Approaches for Text-Based Policy Learning", Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021.
  11. Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, and Alexander Gray, "LOA: Logical Optimal Actions for Text-based Interaction Games", Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP), Aug 2021.
  12. Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, and Asim Munawar, "Language-based General Action Template for Reinforcement Learning Agents", Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP), Aug 2021.
  13. Tomosato Hioki, Daiki Kimura, Jayakorn Vongkulbhisal, Subhajit Chaudhury, Michiaki Tatsubori, and Eiji Saitoh, "Time-resolved Magneto-optical Imaging assisted by Deep-learning Video Frame Interpolation", American Physical Society (APS) March Meeting, Mar 2021.
  14. Kenta Yoshii, Masafumi Nishimura, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Masatomo Kobayashi, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai, and Shinji Higashi, "A Study for Detecting Mild Cognitive Impairment by Analyzing Conversations with Humanoid Robots", IEEE Global Conference on Life Sciences and Technologies (LifeTech), Mar 2021 [1st prize, excellent paper award].
  15. Minori Narita, Daiki Kimura, and Takeshi Imamura, "Automatic Detection of Stationary Waves in the Venus' Atmosphere Using Deep Generative Models", International Conference on Pattern Recognition (ICPR), Jan 2021.
  16. Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, and Alexander G Gray, "Reinforcement Learning with External Knowledge by using Logical Neural Networks", IJCAI workshop on Knowledge-based Reinforcement Learning (KbRL), Jan 2021.
  17. Minori Narita, and Daiki Kimura, "Learning from Failure: Introducing Failure Ratio in Reinforcement Learning", IJCAI workshop on Knowledge-based Reinforcement Learning (KbRL), Jan 2021.
  18. Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, and Ryuki Tachibana, "Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games", Empirical Methods in Natural Language Processing (EMNLP), Nov 2020.
  19. Kenta Yoshii, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Masatomo Kobayashi, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Shinji Higashi, Kiyotaka Nemoto, Tetsuaki Arai, and Masafumi Nishimura, "Simple Screening of Dementia by using Voice in Daily Conversation with a Humanoid Robot", IPSJ SLP, Oct 2020.
  20. Kenta Yoshii, Motoki Abe, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Masatomo Kobayashi, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Shinji Higashi, Kiyotaka Nemoto, Tetsuaki Arai, and Masafumi Nishimura, "Speech Characteristics Analysis of Mild Cognitive Impairment in Conversation with a Humanoid Robot", Forum on Information Technology (FIT), Sep 2020 [encouragement award].
  21. Tomosato Hioki, Daiki Kimura, Jayakorn Vongkulbhisal, Subhajit Chaudhury, Michiaki Tastubori, and Eiji Saitoh, "Deep frame interpolation of quantum wave video by introducing loss in Fourier space", Symposium on Sensing via Image Information (SSII), Jun 2020
  22. Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, and Ryuki Tachibana, "Adversarial Discriminative Attention for Robust Anomaly Detection", IEEE Winter conference on Applications of Computer Vision (WACV), Mar 2020 [accepted on 1st round].
  23. Minori Narita, and Daiki Kimura, "Efficient Exploration with Failure Ratio for Deep Reinforcement Learning", AAAI Workshop on Reinforcement Learning in Games (AAAI-RLG), Feb 2020.
  24. Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, and Hiroki Ozaki, "Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos", IEEE International Symposium on Multimedia (ISM), Dec 2019.
  25. Subhajit Chaudhury, Daiki Kimura, Asim Munawar, and Ryuki Tachibana, "Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning", IEEE International Workshop on Multimedia Signal Processing (MMSP), Sep 2019 [oral].
  26. Minori Narita, and Daiki Kimura, "Deep Reinforcement Learning with Failure Ratio", Annual Conference of the Robotics Society of Japan (RSJ), Sep 2019 [oral].
  27. Daiki Kimura, Subhajit Chaudhury, Hisayuki Kohmoto, Asim Munawar, and Ryuki Tachibana, "Real object recognition with web-crawled images", Meeting on Image Recognition and Understanding (MIRU), Aug 2019.
  28. Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, and Hiroki Ozaki, "Towards Automatic Tagging of Unstructured Table Tennis Videos Captured in the Wild", Meeting on Image Recognition and Understanding (MIRU), Aug 2019.
  29. Ryuki Tachibana, Haruki Imai, Daiki Kimura, Tadanobu Inoue, "Enterprise AI - Latest AI researches in IBM Research", ProVISION (magazine), No. 95, Jun 2019.
  30. Everett Fall, Michiaki Tatsubori, Don Joven Agravante, Masataro Asai, Shu Morikuni, Daiki Kimura, Subhajit Chaudhury, Asim Munawar, and Liang-Gee Chen, "Option Discovery with Prediction Network Ensembles from Demonstrations in Unconstrained State Spaces", ICML workshop on Multi-Task and Lifelong Reinforcement Learning, Jun 2019.
  31. Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, and Ryuki Tachibana, "Anomaly Detection by Reconstruction-loss from VAEGAN and ROI from Discriminator", Symposium on Sensing via Image Information (SSII), Jun 2019 [best paper award (1st in around 126 accepted papers), audience award (1st in 42 papers)].
  32. Minori Narita, Daiki Kimura, and Takeshi Imamura, "Detection of Venus' Stationary Waves Using Variational Auto-encoder", Symposium on Sensing via Image Information (SSII), Jun 2019.
  33. Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, and Ryuki Tachibana, "Anomaly Detection with VAEGAN and Attention", Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Jun 2019.
  34. Minori Narita, and Daiki Kimura, "Efficient Learning of Othello Utilizing the Concept of Undo", Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), Jun 2019.
  35. Minori Narita, Daiki Kimura, Atsushi Yamazaki, and Takeshi Imamura, "Automatic Detection of Stationary Gravity Waves in the Venus' Atmosphere Using Deep Generative Models", Japan Geoscience Union Meeting (JpGU), May 2019.
  36. Motoki Abe, Ryota Togai, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Shinji Higashi, Kiyotaka Nemoto, Tetsuaki Arai, and Masafumi Nishimura, "Identifying Dementia Characteristics using Spoken Dialogue with a Humanoid Robot", National Convention of Information Processing Society of Japan, Mar 2019 [student award].
  37. Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, and Sakyasingha Dasgupta, "Internal Model from Observations for Reward Shaping", AAAI Workshop on Reinforcement Learning in Games (AAAI-RLG), Jan 2019.
  38. Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, and Ryuki Tachibana, "Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation", Tech report, arXiv, Oct 2018.
  39. Motoki Abe, Ryota Togai, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Shinji Higashi, Kiyotaka Nemoto, Tetsuaki Arai, and Masafumi Nishimura, "A Preliminary Study on Characteristics of Dementia in Chat with Humanoid Robot", Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering, Sep 2018 [IEEE award].
  40. Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, and Ryuki Tachibana, "Focusing on What is Relevant: Time-Series Learning and Understanding using Attention", International Conference on Pattern Recognition (ICPR), Aug 2018.
  41. Daiki Kimura, Minori Narita, Asim Munawar, and Ryuki Tachibana, "Spatially-weighted anomaly detection with regression model", Meeting on Image Recognition and Understanding (MIRU), Aug 2018 [oral].
  42. Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, and Sakyasingha Dasgupta, "Internal Model from Observations for Reward Shaping", ICML workshop on Adaptive and Learning Agents (ALA), Jul 2018 [oral].
  43. Minori Narita, Daiki Kimura, and Ryuki Tachibana, "Spatially-weighted anomaly detection", Symposium on Sensing via Image Information (SSII), Jun 2018 [honorable mention (top 6%)].
  44. Daiki Kimura, "DAQN: Deep Auto-encoder and Q-Network", Tech report, arXiv, Jun 2018.
  45. Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, and Grady Booch, "MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning", International Conference on Robotics and Automation (ICRA), May 2018.
  46. Phongtharin Vinayavekhin, Michiaki Tatsubori, Daiki Kimura, Yifan Huang, Giovanni De Magistris, Asim Munawar, and Ryuki Tachibana, "Human-like Hand Reaching by Motion Prediction", International Conference on Social Robotics (ICSR), Nov 2017.
  47. Daiki Kimura, and Ryuki Tachibana, "Deep reinforcement learning with pre-training", Annual Conference of the Robotics Society of Japan (RSJ), Sep 2017 [top-25% oral presentation].
  48. Daiki Kimura, "Recent AI Robots", Technical Committee on Industrial Application of Image Processing, May 2017 [invited].
  49. Daiki Kimura, and Osamu Hasegawa, "Motion Knowledge Transfer between Robots have Different Speci cations", Journal of Institute of Electronics Information and Communication Engineers (IEICE), Aug 2016.
  50. Daiki Kimura, and Osamu Hasegawa, "Estimating Multimodal Attributes for Unknown Objects", International Joint Conference on Neural Networks (IJCNN), Jul 2015 [oral].
  51. Daiki Kimura, and Osamu Hasegawa, "Object Recognition for Pedagogical Robots", International Symposium on Pedagogical Machines, Mar 2015.
  52. Daiki Kimura, Pichai Kankuekul, and Osamu Hasegawa, "Guessing an Unknown Class by Online Fast Attributes Learning and Transfer", Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, Dec 2014.
  53. Daiki Kimura, and Osamu Hasegawa, "Effective Big-data Analysis by Active Learning", Meeting on Image Recognition and Understanding (MIRU), Jul 2014 [invited].
  54. Daiki Kimura, and Osamu Hasegawa, "Ultra-fast Attribute-based Transfer Learning using Images on the Internet", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2014.
  55. Daiki Kimura, Shunichiro Mizuno, and Osamu Hasegawa , "Ultra-fast Big-data Analysis by Interactive Active Learning", Symposium on Sensing via Image Information (SSII), Jun 2014 [invited].
  56. Daiki Kimura, and Osamu Hasegawa, "An Artificial Brain for Intelligent Robots", International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII), Oct 2013 [oral].
  57. Osamu Hasegawa, and Daiki Kimura (presenter) , "Home Robots, Learn by Themselves", International Conference on Human-Computer Interaction (HCI), Jul 2013 [oral] .
  58. Daiki Kimura, and Osamu Hasegawa, "Recognizing Objects in Real-world by Multimodal Information", Meeting on Image Recognition and Understanding (MIRU), Jul 2013 [invited].
  59. Daiki Kimura, and Osamu Hasegawa, "Understanding by Ultra-fast Multimodal Attribute Transfer", Symposium on Sensing via Image Information (SSII), Jun 2013 [invited].
  60. Daiki Kimura, and Osamu Hasegawa, "SOINN: An Artificial Brain", Yale Workshop on Adaptive and Learning Systems, Jun 2013 [invited].
  61. Daiki Kimura, Ryutaro Nishimura, Akihiro Oguro, and Osamu Hasegawa, "Ultra-fast Multimodal and Online Transfer Learning on Humanoid Robots", ACM/IEEE International Conference on Human-Robot Interaction (HRI), Mar 2013.
  62. Daiki Kimura, Ryutaro Nishimura, Akihiro Oguro, and Osamu Hasegawa, "Ultra-fast Multimodal and Online incremental Transfer Learning from Internet data to Estimate Unknown Object", Robotics Symposia, Mar 2013 [outstanding young researcher award].
  63. Daiki Kimura, Pichai Kankuekul, and Osamu Hasegawa, "Guessing Unknown Objects using Images on the Internet", Meeting on Image Recognition and Understanding (MIRU), Aug 2012 [best demo award, invited].
  64. Daiki Kimura, Pichai Kankuekul, and Osamu Hasegawa, "Ultra-Fast and Online Incremental Transfer Learning with Internet", Symposium on Sensing via Image Information (SSII), Jun 2012 [invited].
  65. Daiki Kimura, Pichai Kankuekul, Aram Kawewong, and Osamu Hasegawa, "Ultra-Fast and Online Incremental Transfer Learning", Symposium on Sensing via Image Information (SSII), Jun 2011 [outstanding paper].
  66. Pichai Kankuekul, Daiki Kimura, Aram Kawewong, Sirinart Tangruamsub, and Osamu Hasegawa, "An Online Object Recognition", National Convention of Information Processing Society of Japan (IPSJ), Mar 2011.
  67. Daiki Kimura, Yasuaki Ohno, Keiko Karaishi, and Masahiro Aono, "Store and Forward Type Broadcast Scheduling for Mobile Terminal without Users' Stress", National Convention of Information Processing Society of Japan (IPSJ), Mar 2009.

 

Patents

  1. Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori, "(confidential)", US17/812757, 2022 [status: Filed]
  2. Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Michiaki Tatsubori, "(confidential)", US17/494055, 2021 [status: Filed].
  3. "Mapped Attribute Representations for Improving Generalization in Text-based Games via Summarization", IPCOM000266394D, 2021 [status: Defensive Publication].
  4. "Reinforcement Learning with Logical Neural Networks", IPCOM000265954D, 2021 [status: Defensive Publication].
  5. "Predicting Hidden State of an Object from Corpus", IPCOM000265947D, 2021 [status: Defensive Publication].
  6. Akifumi Wachi, Ryosuke Kohita, Daiki Kimura, "(confidential)", US 17/110400, 2020 [status: Filed].
  7. Subhajit Chaudhury, Daiki Kimura, Gakuto Kurata, Ryuki Tachibana, "(confidential)", US 17/109550, 2020 [status: Filed].
  8. Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, "(confidential)", US 17/102857, 2020 [status: Filed].
  9. Daiki Kimura, Akifumi Wachi, Subhajit Chaudhury, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, "(confidential)", US 17/102804, 2020 [status: Filed].
  10. Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana, "(confidential)", US 17/099363, 2020 [status: Filed].
  11. Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, "(confidential)", US 17/078221, 2020 [status: Filed].
  12. "Deep frame interpolation of quantum wave video by introducing loss in Fourier space", IPCOM000262542D, 2020 [status: Defensive Publication].
  13. Subhajit Chaudhury, Daiki Kimura, Michiaki Tatsubori, and Asim Munawar, "(confidential)", US 16/901040, 2020 [status: Filed].
  14. (confidential), Daiki Kimura, (confidential), Subhajit Chaudhury, and Asim Munawar, "(confidential)", US 16/838349, 2020 [status: Filed].
  15. Subhajit Chaudhury, Daiki Kimura, Asim Munawar, and Ryuki Tachibana, "(confidential)", US 16/666448, 2019 [status: Filed].
  16. Daiki Kimura, and Ryuki Tachibana, "Region of Interest Weighted Anomaly Detection", US 16/149722, 2018 [status: Filed].
  17. Subhajit Chaudhury, Daiki Kimura, Tadanobu Inoue, and Ryuki Tachibana, "Method for closed loop model-based action learning with model-free inverse reinforcement learning", US 94882754, 2018 [status: Filed].
  18. Daiki Kimura, Sakyasingha Dasgupta, Subhajit Chaudhury, and Ryuki Tachibana, "Method for Inverse Reinforcement Learning by States Auto-Encoder", US 94661878, 2018 [status: Filed].
  19. Daiki Kimura, "Image Processing Device for Pamphlet Analysis", PCT/JP2016/069489, 2016 [status: Grant].
  20. Daiki Kimura, and Soh Masuko, "Information Processing Device for E-Commerce Service", JP6397879B2, 2016 [status: Grant].
  21. Daiki Kimura, and Osamu Hasegawa, "Action Transfer Device", US20170326727A1, 2015 [status: Public].
  22. Osamu Hasegawa, and Daiki Kimura, "Motion Transfer Device", #2016-107346, 2014 [status: Public]
  23. Osamu Hasegawa, Daiki Kimura, Pichai Kankuekul, and Aram Kawewong, "Attribute Learning and Transfer System", #5846553, 2011 [status: Grant]

 

Education

Doctor of Engineering, 2012 - 2015
Tokyo Institute of Technology
"Knowledge Transfer on Robots", (summary)

Master of Engineering, 2011 - 2012 (shortened)
Tokyo Institute of Technology
"Ultra-Fast and Online Incremental Transfer Learning"

Bachelor of Engineering, 2009 - 2011
Tokyo Institute of Technology
"Base Researches for Autonomous-Mental-Development Robot"

Foundation degree, 2004 - 2009
National Institute of Technology, Tokyo College
"Scheduling Method without Waiting Time for Mobiles"

 

Languages

Japanese
Native proficiency

English
Professional working proficiency

Chinese
Elementary proficiency

Swiss German
Elementary proficiency

German
Elementary proficiency

 

LinkedIn: english, japanese