D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 62 Citations 36,140 180 World Ranking 1365 National Ranking 770

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Dhruv Batra spends much of his time researching Artificial intelligence, Question answering, Machine learning, Context and Visualization. His Artificial intelligence research includes themes of Dialog system and Natural language processing. His studies in Question answering integrate themes in fields like Artificial neural network, Knowledge extraction, Natural language and Embodied cognition.

The Machine learning study combines topics in areas such as Image segmentation, Inference, Integer programming and Pattern recognition. His work focuses on many connections between Visualization and other disciplines, such as Closed captioning, that overlap with his field of interest in Contextual image classification and Sentence. His study in Information retrieval is interdisciplinary in nature, drawing from both Image and Subject.

His most cited work include:

  • Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization (3161 citations)
  • VQA: Visual Question Answering (1720 citations)
  • VQA: Visual Question Answering (1041 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Artificial intelligence, Machine learning, Question answering, Human–computer interaction and Image. His Artificial intelligence research incorporates themes from Context, Dialog box, Computer vision and Natural language processing. His research in Machine learning intersects with topics in Image segmentation and Inference.

The various areas that Dhruv Batra examines in his Question answering study include Visualization and Benchmark. His Visualization study combines topics from a wide range of disciplines, such as Contextual image classification and Task analysis. Dhruv Batra has researched Human–computer interaction in several fields, including Reinforcement learning, Graph, Natural language and Embodied cognition.

He most often published in these fields:

  • Artificial intelligence (67.41%)
  • Machine learning (29.26%)
  • Question answering (28.52%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (67.41%)
  • Human–computer interaction (20.00%)
  • Embodied cognition (11.48%)

In recent papers he was focusing on the following fields of study:

Dhruv Batra mainly focuses on Artificial intelligence, Human–computer interaction, Embodied cognition, Reinforcement learning and Machine learning. His study on Image and Question answering is often connected to Empowerment and Work as part of broader study in Artificial intelligence. His Human–computer interaction study integrates concerns from other disciplines, such as Semantic map, Graph, Dialog box and Leverage.

Dhruv Batra combines subjects such as RGB color model, Robot, State and Computer engineering with his study of Reinforcement learning. As part of his studies on Machine learning, he frequently links adjacent subjects like Context. His Discriminative model research incorporates elements of Closed captioning, Contextual image classification, Visualization, Convolutional neural network and Pattern recognition.

Between 2019 and 2021, his most popular works were:

  • Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization (317 citations)
  • Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization (317 citations)
  • DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames (57 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary areas of study are Artificial intelligence, Machine learning, Human–computer interaction, Embodied cognition and Transformer. His Artificial intelligence study frequently links to other fields, such as Feature. His work carried out in the field of Machine learning brings together such families of science as Context and Pattern recognition.

His biological study spans a wide range of topics, including Closed captioning, Contextual image classification, Visualization, Discriminative model and Convolutional neural network. His Human–computer interaction study incorporates themes from Object and Graph. His study in the field of Embodied perception also crosses realms of Curriculum and Stairs.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Ramprasaath R. Selvaraju;Michael Cogswell;Abhishek Das;Ramakrishna Vedantam.
international conference on computer vision (2017)

4009 Citations

VQA: Visual Question Answering

Stanislaw Antol;Aishwarya Agrawal;Jiasen Lu;Margaret Mitchell.
international conference on computer vision (2015)

2676 Citations

VQA: Visual Question Answering

Aishwarya Agrawal;Jiasen Lu;Stanislaw Antol;Margaret Mitchell.
arXiv: Computation and Language (2015)

1635 Citations

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.
computer vision and pattern recognition (2017)

767 Citations

Hierarchical Question-Image Co-Attention for Visual Question Answering

Jiasen Lu;Jianwei Yang;Dhruv Batra;Devi Parikh.
arXiv: Computer Vision and Pattern Recognition (2016)

553 Citations

Visual Dialog

Abhishek Das;Satwik Kottur;Khushi Gupta;Avi Singh.
computer vision and pattern recognition (2017)

529 Citations

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

Jiasen Lu;Dhruv Batra;Devi Parikh;Stefan Lee.
neural information processing systems (2019)

515 Citations

iCoseg: Interactive co-segmentation with intelligent scribble guidance

Dhruv Batra;Adarsh Kowdle;Devi Parikh;Jiebo Luo.
computer vision and pattern recognition (2010)

496 Citations

Embodied Question Answering

Abhishek Das;Samyak Datta;Georgia Gkioxari;Stefan Lee.
computer vision and pattern recognition (2018)

410 Citations

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.
(2016)

409 Citations

Best Scientists Citing Dhruv Batra

Yejin Choi

Yejin Choi

Allen Institute for Artificial Intelligence

Publications: 71

Anton van den Hengel

Anton van den Hengel

University of Adelaide

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Jianfeng Gao

Jianfeng Gao

Microsoft (United States)

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Chunhua Shen

Chunhua Shen

University of Adelaide

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Hanwang Zhang

Hanwang Zhang

Nanyang Technological University

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Jason Weston

Jason Weston

Facebook (United States)

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Mohit Bansal

Mohit Bansal

University of North Carolina at Chapel Hill

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Alexander G. Schwing

Alexander G. Schwing

University of Illinois at Urbana-Champaign

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Kyunghyun Cho

Kyunghyun Cho

New York University

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Kristen Grauman

Kristen Grauman

Facebook (United States)

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Dacheng Tao

Dacheng Tao

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Trevor Darrell

Trevor Darrell

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Song-Chun Zhu

Song-Chun Zhu

University of California, Los Angeles

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Kate Saenko

Kate Saenko

Boston University

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Fei Wu

Fei Wu

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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