Devi Parikh

56.5k citations

110 papers · 26.3k indexed · 13 hit papers · h-index 38

Impact in

Computer Vision and Pattern Recognition top 0.01%
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Analysis and Summarization
Artificial Intelligence top 0.02%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Natural Language Processing Techniques

Papers in ⓘ

Computer Vision and Pattern Recognition 92
- Multimodal Machine Learning Applications 57
- Advanced Image and Video Retrieval Techniques 54
- Image Retrieval and Classification Techniques 20
- Human Pose and Action Recognition 16
- Advanced Neural Network Applications 13
- Visual Attention and Saliency Detection 9
Artificial Intelligence 59
- Domain Adaptation and Few-Shot Learning 38
- Topic Modeling 10

Co-authors: Dhruv Batra (38 shared papers)Ramakrishna Vedantam (6 shared papers)Abhishek Das (13 shared papers)Michael Cogswell (2 shared papers)Ramprasaath R. Selvaraju (3 shared papers)C. Lawrence Zitnick (15 shared papers)Jiasen Lu (7 shared papers)Kristen Grauman (7 shared papers)
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (6 papers)International Journal of Computer Vision (3 papers)ACS Catalysis (2 papers)Journal of Vision (1 paper)IEEE Access (1 paper)
Partner nations: United States Japan Israel

In The Last Decade

Devi Parikh

107 papers receiving 25.4k citations

Hit Papers

13 papers align trajectories log scale

Open Catalyst 2020 (OC20) Dataset and Community Challenges 2021 · 440 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 ACS Catalysis
2020 12-in-1: Multi-Task Vision and Language Representation Learning
2019 Neural Information Processing Systems
2017 Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
2017 Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
2017 Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning
2016 International Journal of Computer Vision
2016 A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories
2016 Joint Unsupervised Learning of Deep Representations and Image Clusters
2015 VQA: Visual Question Answering
2015 CIDEr: Consensus-based image description evaluation
2011 Relative attributes
2010 National University of Singapore

Peers

Countries citing papers authored by Devi Parikh

Since Specialization

Citations

This map shows the geographic impact of Devi Parikh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Devi Parikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devi Parikh more than expected).

Fields of papers citing papers by Devi Parikh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devi Parikh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Devi Parikh. The network helps show where Devi Parikh may publish in the future.

Co-authors

The 25 scholars most cited alongside Devi Parikh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devi Parikh Line = papers co-authored together Devi Parikh links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra Hit paper breakdown →	2017	12321
2	CIDEr: Consensus-based image description evaluation Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh Hit paper breakdown →	2015	2713
3	VQA: Visual Question Answering Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh Hit paper breakdown →	2015	2331
4	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, Devi Parikh Hit paper breakdown →	2017	1115
5	Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher Hit paper breakdown →	2017	1034
6	Relative attributes Devi Parikh, Kristen Grauman Hit paper breakdown →	2011	562
7	Joint Unsupervised Learning of Deep Representations and Image Clusters Jianwei Yang, Devi Parikh, Dhruv Batra Hit paper breakdown →	2016	444
8	Open Catalyst 2020 (OC20) Dataset and Community Challenges ACS Catalysis ·Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Rivière, Kevin Tran, Javier Heras‐Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon M. Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi Hit paper breakdown →	2021	440
9	ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Neural Information Processing Systems ·Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee Hit paper breakdown →	2019	359
10	VQA: Visual Question Answering International Journal of Computer Vision ·Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra Hit paper breakdown →	2016	345
11	A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen Hit paper breakdown →	2016	340
12	iCoseg: Interactive co-segmentation with intelligent scribble guidance National University of Singapore ·Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo, Tsuhan Chen Hit paper breakdown →	2010	331
13	Neural Baby Talk Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh	2018	251
14	Visual Dialog Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Jain, José M. F. Moura, Devi Parikh, Dhruv Batra	2017	246
15	12-in-1: Multi-Task Vision and Language Representation Learning Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee Hit paper breakdown →	2020	244
16	Visual Dialog Computer Vision and Pattern Recognition ·Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Jain, José M. F. Moura, Devi Parikh, Dhruv Batra	2017	213
17	WhittleSearch: Image search with relative attribute feedback Adriana Kovashka, Devi Parikh, Kristen Grauman	2012	193
18	What Makes a Photograph Memorable? IEEE Transactions on Pattern Analysis and Machine Intelligence ·Phillip Isola, Jianxiong Xiao, Devi Parikh, Antonio Torralba, Aude Oliva	2013	178
19	Discovering localized attributes for fine-grained recognition Kun Duan, Devi Parikh, David Crandall, Kristen Grauman	2012	157
20	Visual Storytelling Ting-Hao Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell	2016	138

About Devi Parikh

Devi Parikh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Health Informatics and Computer Graphics and Computer-Aided Design, having authored 110 papers that have together received 26.3k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (57 papers), Advanced Image and Video Retrieval Techniques (54 papers), Domain Adaptation and Few-Shot Learning (38 papers), Image Retrieval and Classification Techniques (20 papers), Human Pose and Action Recognition (16 papers), Advanced Neural Network Applications (13 papers), Topic Modeling (10 papers) and Visual Attention and Saliency Detection (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (16.1k citations), Artificial Intelligence (13.1k citations), Health Informatics (470 citations), Radiology, Nuclear Medicine and Imaging (2.7k citations) and Media Technology (980 citations). Devi Parikh has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Dhruv Batra, Ramakrishna Vedantam, Abhishek Das, Michael Cogswell, Ramprasaath R. Selvaraju, C. Lawrence Zitnick, Jiasen Lu, Kristen Grauman, Margaret Mitchell and Aishwarya Agrawal. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, ACS Catalysis, Journal of Vision and IEEE Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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