Now showing items 1-4 of 4
A computational framework for unsupervised analysis of everyday human activities
(Georgia Institute of Technology, 2008-07-07)
In order to make computers proactive and assistive, we must enable them to perceive, learn, and predict what is happening in their surroundings. This presents us with the challenge of formalizing computational models of ...
Evaluating visual conversational agents via cooperative human-AI games
(Georgia Institute of Technology, 2019-04-26)
As AI continues to advance, human-AI teams are inevitable. However, progress in AI is routinely measured in isolation, without a human in the loop. It is crucial to benchmark progress in AI, not just in isolation, but ...
EvalAI: Evaluating AI systems at scale
(Georgia Institute of Technology, 2018-12-06)
Artificial Intelligence research has progressed tremendously in the last few years. There has been the introduction of several new multi-modal datasets and tasks due to which it is becoming much harder to compare new ...
Interpretation, grounding and imagination for machine intelligence
(Georgia Institute of Technology, 2018-11-08)
Understanding how to model computer vision and natural language jointly is a long-standing challenge in artificial intelligence. In this thesis, I study how modeling vision and language using semantic and pragmatic ...