We are Humor Beings: Understanding and Predicting Visual Humor. - Arjun Chandrasekaran; Ashwin K. Vijayakumar; Stanislaw Antol; Mohit Bansal; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh (CVPR, 2016)

Sort Story: Sorting Jumbled Images and Captions into Stories. - Harsh Agrawal; Arjun Chandrasekaran; Dhruv Batra; Devi Parikh; Mohit Bansal (EMNLP, 2016)

Evaluating Visual Conversational Agents via Cooperative Human-AI Games. - Prithvijit Chattopadhyay; Deshraj Yadav; Viraj Prabhu; Arjun Chandrasekaran; Abhishek Das; Stefan Lee; Dhruv Batra; Devi Parikh (HCOMP, 2017)

It Takes Two to Tango: Towards Theory of AI's Mind. - Arjun Chandrasekaran; Deshraj Yadav; Prithvijit Chattopadhyay; Viraj Prabhu; Devi Parikh (CoRR, 2017)

Do explanations make VQA models more predictable to a human? - Arjun Chandrasekaran; Viraj Prabhu; Deshraj Yadav; Prithvijit Chattopadhyay; Devi Parikh (EMNLP, 2018)

Punny Captions: Witty Wordplay in Image Descriptions. - Arjun Chandrasekaran; Devi Parikh; Mohit Bansal (NAACL-HLT (2), 2018)

A Computational Model of Early Word Learning from the Infant's Point of View. - Satoshi Tsutsui; Arjun Chandrasekaran; Md. Alimoor Reza; David J. Crandall; Chen Yu 001 (CogSci, 2020)

Towards Natural Human-AI Interactions in Vision and Language. - Arjun Chandrasekaran (2020)

BABEL: Bodies, Action and Behavior With English Labels. - Abhinanda R. Punnakkal; Arjun Chandrasekaran; Nikos Athanasiou; Alejandra Quiros-Ramirez; Michael J. Black (CVPR, 2021)

How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. - Ashwin Kalyan; Abhinav Kumar; Arjun Chandrasekaran; Ashish Sabharwal; Peter Clark (EMNLP (1), 2021)

Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. - Viraj Prabhu; Arjun Chandrasekaran; Kate Saenko; Judy Hoffman (ICCV, 2021)

LocATe: End-to-end Localization of Actions in 3D with Transformers. - Jiankai Sun; Bolei Zhou; Michael J. Black; Arjun Chandrasekaran (CoRR, 2022)