no code implementations • 25 Nov 2022 • Bernie Boscoe, Tuan Do, Evan Jones, Yunqi Li, Kevin Alfaro, Christy Ma
We define effective machine learning datasets in astronomy to be formed with well-defined data points, structure, and metadata.
no code implementations • 25 Feb 2021 • Anna Ciurlo, Mark R. Morris, Randall D. Campbell, Andrea M. Ghez, Tuan Do, Devin S. Chu
We present the first observational constraint on the Br-gamma recombination line emission associated with the supermassive black hole at the center of our Galaxy, known as Sgr A*.
Astrophysics of Galaxies
no code implementations • 2 Oct 2017 • Tuan Do, James Pustejovsky
Selecting an optimal event representation is essential for event classification in real world contexts.
no code implementations • 30 Sep 2017 • Tuan Do, James Pustejovsky
Event learning is one of the most important problems in AI.
General Classification Human-Object Interaction Detection +1
no code implementations • WS 2016 • James Pustejovsky, Tuan Do, Gitit Kehat, Nikhil Krishnaswamy
Human communication is a multimodal activity, involving not only speech and written expressions, but intonation, images, gestures, visual clues, and the interpretation of actions through perception.
no code implementations • 5 Oct 2016 • 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 extracting the 3D positions and orientations of objects in video captured by Microsoft's Kinect(R) hardware.