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Computer Science

D-Index
91
Citations
74785
World Ranking
556
National Ranking
294

Research.com Recognitions

  • 2016 - Fellow of Alfred P. Sloan Foundation

Overview

Devi Parikh is a researcher affiliated with Facebook in the United States with a primary focus on computer science. Their expertise spans several subfields including computer vision and pattern recognition, artificial intelligence, control and systems engineering, signal processing, and materials chemistry. Parikh's body of work includes extensive research on multimodal machine learning applications, domain adaptation and few-shot learning, generative adversarial networks and image synthesis, advanced image and video retrieval techniques, video analysis and summarization, natural language processing techniques, and human motion and animation.

Parikh has contributed to 135 publications in computer science, with a significant number (87) related to computer vision and pattern recognition. Their work appears frequently in publication venues including arXiv (Cornell University), Lecture Notes in Computer Science, ACS Catalysis, TIB Data Manager, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Recent papers by Devi Parikh include the following:

  • Open Catalyst 2020 (OC20) Dataset and Community Challenges, 2021, ACS Catalysis
  • Hierarchical Question-Image Co-Attention for Visual Question Answering, 2024, TIB Data Manager
  • Make-A-Video: Text-to-Video Generation without Text-Video Data, 2022, arXiv (Cornell University)
  • AudioGen: Textually Guided Audio Generation, 2022, arXiv (Cornell University)
  • Improving Vision-and-Language Navigation with Image-Text Pairs from the Web, 2020, Lecture Notes in Computer Science

Frequent co-authors collaborating with Parikh include Dhruv Batra, Yaniv Taigman, Adam Polyak, Abhishek Das, and C. Lawrence Zitnick, reflecting joint efforts across multiple projects and studies.

Devi Parikh was recognized as a Fellow of the Alfred P. Sloan Foundation in 2016, indicating acknowledgment from the scientific community for their contributions to their field.

Best Publications

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

    Ramprasaath R. Selvaraju;Michael Cogswell;Abhishek Das;Ramakrishna Vedantam

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

    Ramprasaath R. Selvaraju;Michael Cogswell;Abhishek Das;Ramakrishna Vedantam

  • VQA: Visual Question Answering

    Stanislaw Antol;Aishwarya Agrawal;Jiasen Lu;Margaret Mitchell

  • CIDEr: Consensus-based image description evaluation

    Ramakrishna Vedantam;C. Lawrence Zitnick;Devi Parikh

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

    Jiasen Lu;Dhruv Batra;Devi Parikh;Stefan Lee

  • Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

    Yash Goyal;Tejas Khot;Douglas Summers-Stay;Dhruv Batra

  • VQA: Visual Question Answering

    Aishwarya Agrawal;Jiasen Lu;Stanislaw Antol;Margaret Mitchell

  • Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning

    Jiasen Lu;Caiming Xiong;Devi Parikh;Richard Socher

  • Hierarchical Question-Image Co-Attention for Visual Question Answering

    Jiasen Lu;Jianwei Yang;Dhruv Batra;Devi Parikh

  • Relative attributes

    Devi Parikh;Kristen Grauman

  • Habitat: A Platform for Embodied AI Research

    Manolis Savva;Jitendra Malik;Devi Parikh;Dhruv Batra

  • Graph R-CNN for Scene Graph Generation

    Jianwei Yang;Jiasen Lu;Stefan Lee;Dhruv Batra;Dhruv Batra

  • Joint Unsupervised Learning of Deep Representations and Image Clusters

    Jianwei Yang;Devi Parikh;Dhruv Batra

  • Visual Dialog

    Abhishek Das;Satwik Kottur;Khushi Gupta;Avi Singh

  • A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

    Nasrin Mostafazadeh;Nathanael Chambers;Xiaodong He;Devi Parikh

  • Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization

    Ramprasaath R. Selvaraju;Abhishek Das;Ramakrishna Vedantam;Michael Cogswell

  • iCoseg: Interactive co-segmentation with intelligent scribble guidance

    Dhruv Batra;Adarsh Kowdle;Devi Parikh;Jiebo Luo

  • Embodied Question Answering

    Abhishek Das;Samyak Datta;Georgia Gkioxari;Stefan Lee

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

    Aishwarya Agrawal;Dhruv Batra;Devi Parikh;Aniruddha Kembhavi

  • VQA: Visual Question Answering

    Aishwarya Agrawal;Jiasen Lu;Stanislaw Antol;Margaret Mitchell

  • Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

    Yash Goyal;Tejas Khot;Aishwarya Agrawal;Douglas Summers-Stay

  • Habitat: A Platform for Embodied AI Research

    Manolis Savva;Abhishek Kadian;Oleksandr Maksymets;Yili Zhao

Frequent Co-Authors

Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Stefan Lee
Stefan Lee Oregon State University
C. Lawrence Zitnick
C. Lawrence Zitnick Facebook (United States)
Tsuhan Chen
Tsuhan Chen Cornell University
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Xinlei Chen
Xinlei Chen Facebook (United States)
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University
Kristen Grauman
Kristen Grauman The University of Texas at Austin
Mohit Bansal
Mohit Bansal University of North Carolina at Chapel Hill
Irfan Essa
Irfan Essa Georgia Institute of Technology

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