Search Results for author: Arjun Chandrasekaran

Found 11 papers, 5 papers with code

LocATe: End-to-end Localization of Actions in 3D with Transformers

no code implementations21 Mar 2022 Jiankai Sun, Bolei Zhou, Michael J. Black, Arjun Chandrasekaran

An important component of this problem is 3D Temporal Action Localization (3D-TAL), which involves recognizing what actions a person is performing, and when.

Action Recognition object-detection +2

A Computational Model of Early Word Learning from the Infant's Point of View

1 code implementation4 Jun 2020 Satoshi Tsutsui, Arjun Chandrasekaran, Md. Alimoor Reza, David Crandall, Chen Yu

Human infants have the remarkable ability to learn the associations between object names and visual objects from inherently ambiguous experiences.

Do Explanations make VQA Models more Predictable to a Human?

no code implementations EMNLP 2018 Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh

A rich line of research attempts to make deep neural networks more transparent by generating human-interpretable 'explanations' of their decision process, especially for interactive tasks like Visual Question Answering (VQA).

Question Answering Visual Question Answering +1

Punny Captions: Witty Wordplay in Image Descriptions

1 code implementation NAACL 2018 Arjun Chandrasekaran, Devi Parikh, Mohit Bansal

Wit is a form of rich interaction that is often grounded in a specific situation (e. g., a comment in response to an event).

It Takes Two to Tango: Towards Theory of AI's Mind

no code implementations3 Apr 2017 Arjun Chandrasekaran, Deshraj Yadav, Prithvijit Chattopadhyay, Viraj Prabhu, Devi Parikh

Surprisingly, we find that having access to the model's internal states - its confidence in its top-k predictions, explicit or implicit attention maps which highlight regions in the image (and words in the question) the model is looking at (and listening to) while answering a question about an image - do not help people better predict its behavior.

Question Answering Visual Question Answering +1

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