People

Devi Parikh

Research Scientist

I am a research scientist at Facebook AI Research (FAIR) and an assistant professor in the School of Interactive Computing at Georgia Tech.

From 2013 to 2016, I was an assistant professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. From 2009 to 2012, I was a research assistant professor at Toyota Technological Institute at Chicago (TTIC), an academic computer science institute affiliated with University of Chicago. I have held visiting positions at Cornell University, University of Texas at Austin, Microsoft Research, MIT, Carnegie Mellon University and Facebook AI Research. I received my MS and PhD degrees from the Electrical and Computer Engineering department at Carnegie Mellon University in 2007 and 2009 respectively. I received my BS in Electrical and Computer Engineering from Rowan University in 2005.

My research interests include computer vision and AI in general and visual recognition problems in particular. My recent work involves exploring problems at the intersection of vision and language, and leveraging human-machine collaboration for building smarter machines. I have also worked on other topics such as ensemble of classifiers, data fusion, inference in probabilistic models, 3D reassembly, barcode segmentation, computational photography, interactive computer vision, contextual reasoning, hierarchical representations of images and human-debugging.

I am a recipient of an NSF CAREER award, an IJCAI Computers and Thought award, a Sloan Research Fellowship, an Office of Naval Research (ONR) Young Investigator Program (YIP) award, an Army Research Office (ARO) Young Investigator Program (YIP) award, a Sigma Xi Young Faculty Award at Georgia Tech, an Allen Distinguished Investigator Award in Artificial Intelligence from the Paul G. Allen Family Foundation, four Google Faculty Research Awards, an Amazon Academic Research Award, an Outstanding New Assistant Professor award from the College of Engineering at Virginia Tech, a Rowan University Medal of Excellence for Alumni Achievement, Rowan University’s 40 under 40 recognition, a Forbes’ list of 20 “Incredible Women Advancing A.I. Research” recognition, and a Marr Best Paper Prize awarded at the International Conference on Computer Vision (ICCV).

Interests

Computer vision, vision, language, and common sense, human-machine collaboration, transparent AI and conversational (dialog) agents

Latest Publications

IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL

Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam

IJCAI - January 5, 2021

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das

ECCV - August 23, 2020

Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation

Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh

ECCV - August 23, 2020

Spatially Aware Multimodal Transformers for TextVQA

Yash Kant, Dhruv Batra, Peter Anderson, Alexander Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal

ECCV - August 23, 2020

12-in-1: Multi-Task Vision and Language Representation Learning

Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee

CVPR - June 18, 2020

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra

ICLR - April 26, 2020

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee

NeurIPS - December 9, 2019

RUBi: Reducing Unimodal Biases for Visual Question Answering

Remi Cadene, Corentin Dancette, Hedi Ben-younes, Matthieu Cord, Devi Parikh

NeurIPS - December 8, 2019

Cross-channel Communication Networks

Jianwei Yang, Zhile Ren, Hongyuan Zhu, Ji Lin, Chuang Gan, Devi Parikh

NeurIPS - December 8, 2019

Chasing Ghosts: Instruction Following as Bayesian State Tracking

Peter Anderson, Ayush Shrivastava, Devi Parikh, Dhruv Batra, Stefan Lee

NeurIPS - December 8, 2019

Improving Generative Visual Dialog by Answering Diverse Questions

Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das

EMNLP - November 3, 2019

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry Heck, Dhruv Batra, Devi Parikh

ICCV - October 31, 2019

Habitat: A Platform for Embodied AI Research

Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra

ICCV - October 27, 2019

Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment

Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran

ICCV - October 27, 2019

Embodied Amodal Recognition: Learning to Move to Perceive Objects

Jianwei Yang, Zhile Ren, Mingze Xu, Xinlei Chen, David J. Crandall, Devi Parikh, Dhruv Batra

ICCV - October 27, 2019

NoCaps: Novel object captioning at scale

Harsh Agrawal, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee, Peter Anderson

ICCV - October 27, 2019

Fashion++: Minimal Edits for Outfit Improvement

Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman

ICCV - October 25, 2019

CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication

Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh

ACL - July 28, 2019

Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra

CVPR - June 18, 2019

Towards VQA Models That Can Read

Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach

CVPR - June 16, 2019

Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering

Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh

ICML - June 11, 2019

Cycle-Consistency for Robust Visual Question Answering

Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh

CVPR - June 7, 2019

CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog

Satwik Kottur, José M.F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach

NAACL - June 5, 2019

Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future

Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra

ICLR - May 6, 2019

Do explanations make VQA models more predictable to a human?

Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh

EMNLP 2018 - November 2, 2018

Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition

Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh

CoRL 2018 - October 29, 2018

Visual Coreference Resolution in Visual Dialog using Neural Module Networks

Satwik Kottur, José M.F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach

ECCV - September 14, 2018

Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

Ramprasaath R. Selvaraju, Prithvijit Chattopadhyay, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee

ECCV 2018 - September 9, 2018

Graph R-CNN for Scene Graph Generation

Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh

ECCV 2018 - September 9, 2018

Neural Modular Control for Embodied Question Answering

Abhishek Das, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra

CoRL - August 1, 2018

Embodied Question Answering

Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra

CVPR 2018 - June 18, 2018

Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi

CVPR 2018 - June 18, 2018

Neural Baby Talk

Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh

CVPR 2018 - June 17, 2018

Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model

Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra

NIPS 2017 - December 4, 2017

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 - October 24, 2017

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra

ICCV 2017 - October 22, 2017

ParlAI: A Dialog Research Software Platform

Alexander H. Miller, Will Feng, Adam Fisch, Jiasen Lu, Dhruv Batra, Antoine Bordes, Devi Parikh, Jason Weston

EMNLP 2017 - September 9, 2017

LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh

ICLR 2017 - April 24, 2017

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Mike Lewis, Denis Yarats, Yann Dauphin, Devi Parikh, Dhruv Batra

EMNLP 2017 - September 8, 2017