RIKEN Center for Advanced Intelligence Project Machine Intelligence for Medical Engineering Team
Team Director: Tatsuya Harada (D.Eng.)
Research Summary
Our goal is to invent intelligent systems assisting medical diagnosis and treatment by extracting useful features from medical information, and combining them with powerful computational resources and vast amount of data in the cyber space. To tackle this challenging problem, we utilize all resources in the area of computer science including mathematical basis and robotics.
Research Subjects:
- Visual Recognition
- Machine Learning
- Intelligent Robot
Main Research Fields
- Computer Science
Related Research Fields
- Engineering
Selected Publications
- 1.
Xuangeng Chu, Tatsuya Harada.:
"Generalizable and Animatable Gaussian Head Avatar"
Conference on Neural Information Processing Systems (NeurIPS)，2024. - 2.
Jen-Yen Chang, Thomas Westfechtel, Takayuki Osa, Tatsuya Harada.:
"Offline Deep Reinforcement Learning for Visual Distractions via Domain Adversarial Training"
Transactions on Machine Learning Research (TMLR), 36 pages, 2024. - 3.
Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada.:
"Open-set Domain Adaptation via Joint Error based Multi-class Positive and Unlabeled Learning"
European Conference on Computer Vision (ECCV), 2024. - 4.
Ziteng Cui, Tatsuya Harada.:
"RAW-Adapter: Adapting Pretrained Visual Model to Camera RAW Images"
European Conference on Computer Vision (ECCV), 2024 - 5.
Takayuki Osa, Tatsuya Harada.:
"Discovering Multiple Solutions in Offline Reinforcement Learning"
International Conference on Machine Learning (ICML), 2024. - 6.
Kohei Uehara, Tatsuya Harada.:
"Learning by Asking Questions for Knowledge-based Novel Object Recognition"
International Journal of Computer Vision (IJCV), Vol. 132, pp. 2290–2309, 2024. - 7.
Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada.:
"Symmetric Q-Learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning"
AAAI Conference on Artificial Intelligence (AAAI), 2024. - 8.
Ziteng Cui, Lin Gu, Xiao Sun, xianzheng ma, Yu Qiao, Tatsuya Harada.:
"Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption"
AAAI Conference on Artificial Intelligence (AAAI), 2024. - 9.
Yuki Kawana, Tatsuya Harada.:
"Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image"
Conference on Neural Information Processing Systems (NeurIPS), 2023. - 10.
Dexuan Zhang, Tatsuya Harada.:
"Unsupervised Domain Adaptation via Minimized Joint Error"
Transactions on Machine Learning Research (TMLR), 26 pages, 2023.
Recent Research Results
Related Links
Lab Members
Principal investigator
- Tatsuya Harada
- Team Director
Core members
- Lin Gu
- Research Scientist
- Kenichiro Ando
- Postdoctoral Researcher
- Yasushi Koyama
- Visiting Scientist
- Yusuke Kurose
- Visiting Scientist
- Yusuke Mukuta
- Visiting Scientist
- Masatoshi Hidaka
- Visiting Scientist
- Zhongyi Zhou
- Visiting Scientist
- Yizhe Ruan
- Research Part-time Worker I
- Ryosuke Sasaki
- Research Part-time Worker I
Contact Information
Engineering Building #2,
7-3-1, Hongo, Bunkyo-ku, Tokyo,
113-8656, Japan
Email: tatsuya.harada@riken.jp