4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.RO2018
Multimodal Interactive Learning of Primitive Actions
Tuan Do, Nikhil Krishnaswamy, Kyeongmin Rim +1
We describe an ongoing project in learning to perform primitive actions from demonstrations using an interactive interface. In our previous work, we have used demonstrations captur…
cs.CV2017★ 1 cited
Learning event representation: As sparse as possible, but not sparser
Tuan Do, James Pustejovsky
Selecting an optimal event representation is essential for event classification in real world contexts. In this paper, we investigate the application of qualitative spatial reasoni…
cs.CV2017★ 4 cited
Fine-grained Event Learning of Human-Object Interaction with LSTM-CRF
Tuan Do, James Pustejovsky
Event learning is one of the most important problems in AI. However, notwithstanding significant research efforts, it is still a very complex task, especially when the events invol…