8 citations · 14 across the 6 of their papers we have counts for
6 papers
Beyond Task Success: Behavioral and Representational Diagnostics for WAM and VLA
Hung Mai, Bin Zhu, Tuan Do
Vision-language-action (VLA) policies and World-Action Models (WAM) represent two increasingly important paradigms for robotic manipulation. However, it remains unclear whether fut…
Elements of effective machine learning datasets in astronomy
Bernie Boscoe, Tuan Do, Evan Jones +3
In this work, we identify elements of effective machine learning datasets in astronomy and present suggestions for their design and creation. Machine learning has become an increas…
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…
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…
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…
ECAT: Event Capture Annotation Tool
Tuan Do, Nikhil Krishnaswamy, James Pustejovsky
This paper introduces the Event Capture Annotation Tool (ECAT), a user-friendly, open-source interface tool for annotating events and their participants in video, capable of extrac…