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03/21/2022
LocATe: End-to-end Localization of Actions in 3D with Transformers
Understanding a person's behavior from their 3D motion is a fundamental ...
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10/27/2021
How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI
Many real-world problems require the combined application of multiple re...
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06/17/2021
BABEL: Bodies, Action and Behavior with English Labels
Understanding the semantics of human movement – the what, how and why of...
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10/16/2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Generalizing deep neural networks to new target domains is critical to t...
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06/04/2020
A Computational Model of Early Word Learning from the Infant's Point of View
Human infants have the remarkable ability to learn the associations betw...
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10/29/2018
Do Explanations make VQA Models more Predictable to a Human?
A rich line of research attempts to make deep neural networks more trans...
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08/17/2017
Evaluating Visual Conversational Agents via Cooperative Human-AI Games
As AI continues to advance, human-AI teams are inevitable. However, prog...
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04/26/2017
Punny Captions: Witty Wordplay in Image Descriptions
Wit is a quintessential form of rich inter-human interaction, and is oft...
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04/03/2017
It Takes Two to Tango: Towards Theory of AI's Mind
Theory of Mind is the ability to attribute mental states (beliefs, inten...
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06/23/2016
Sort Story: Sorting Jumbled Images and Captions into Stories
Temporal common sense has applications in AI tasks such as QA, multi-doc...
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12/14/2015