研究概要

主要論文

• 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.

研究成果（プレスリリース）

• 

  2020年12月17日
  動画から人間の知覚に合う動きを抽出するアルゴリズム

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