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Computer Science

D-Index
84
Citations
67427
World Ranking
821
National Ranking
445

Overview

Dhruv Batra is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple fields and subfields within computer science and engineering.

The primary fields of study for Dhruv Batra include:

  • Computer Science
  • Engineering

Within these fields, they have contributed extensively to subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Control and Systems Engineering
  • Biomedical Engineering

Their principal research topics cover areas including:

  • Multimodal Machine Learning Applications
  • Robotics and Sensor-Based Localization
  • Reinforcement Learning in Robotics
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques
  • Robot Manipulation and Learning

Dhruv Batra has a substantial publication record with frequent appearances in specific venues. They have published notably in:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Lecture notes in computer science
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Robotics and Automation Letters

Selected recent publications by Dhruv Batra include:

  • "Ego4D: Around the World in 3,000 Hours of Egocentric Video" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Hierarchical Question-Image Co-Attention for Visual Question Answering" (2024), published in TIB Data Manager
  • "ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects" (2020), published on arXiv (Cornell University)
  • "Rearrangement: A Challenge for Embodied AI" (2020), published on arXiv (Cornell University)
  • "Auxiliary Tasks and Exploration Enable ObjectGoal Navigation" (2021), published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

The scientist collaborates frequently with several co-authors, including:

  • Erik Wijmans
  • Stefan Lee
  • Oleksandr Maksymets
  • Devi Parikh
  • Devendra Singh Chaplot

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

  • 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

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

    Jiasen Lu;Jianwei Yang;Dhruv Batra;Devi Parikh

  • 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

  • Neural Baby Talk

    Jiasen Lu;Jianwei Yang;Dhruv Batra;Devi Parikh

  • Ego4D: Around the World in 3,000 Hours of Egocentric Video

    Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

  • VQA: Visual Question Answering

    Aishwarya Agrawal;Jiasen Lu;Stanislaw Antol;Margaret Mitchell

  • The Replica Dataset: A Digital Replica of Indoor Spaces.

    Julian Straub;Thomas Whelan;Lingni Ma;Yufan Chen

  • 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

Devi Parikh
Devi Parikh Facebook (United States)
Stefan Lee
Stefan Lee Oregon State University
Irfan Essa
Irfan Essa Georgia Institute of Technology
Manolis Savva
Manolis Savva Simon Fraser University
Tsuhan Chen
Tsuhan Chen Cornell University
Xinlei Chen
Xinlei Chen Facebook (United States)
C. Lawrence Zitnick
C. Lawrence Zitnick Facebook (United States)
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University
David J. Crandall
David J. Crandall Indiana University

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