Ranjay Krishna

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Citations	17847	16584
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i10-index	52	52

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Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityVerified email at cs.stanford.edu
Kenji HataOpenAIVerified email at openai.com
David A. ShammaToyota Research InstituteVerified email at acm.org
Justin JohnsonAssistant Professor, University of Michigan; Research Scientist, Meta AIVerified email at umich.edu
Stephanie ChenUniversity of Western AustraliaVerified email at uwa.edu.au
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Li-Jia LiChief AI, IEEE FellowVerified email at healthunity.org
Oliver GrothSenior Research Scientist, Google DeepMindVerified email at deepmind.com
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Verified email at cs.stanford.edu
Cheng-Yu HsiehPh.D. student, University of WashingtonVerified email at cs.washington.edu
Jieyu ZhangUniversity of WashingtonVerified email at cs.washington.edu
Madeleine Grunde-McLaughlinUniversity of WashingtonVerified email at cs.washington.edu
Aniruddha KembhaviSenior Director of Computer Vision, Allen Institute of Artificial IntelligenceVerified email at allenai.org
Chun-Liang LiResearch Scientist, AppleVerified email at apple.com
Alex RatnerAssistant Professor, University of WashingtonVerified email at cs.washington.edu
Yushi HuUniversity of WashingtonVerified email at uw.edu
Chen-Yu LeeResearch Scientist, GoogleVerified email at google.com
Tomas PfisterHead of AI Research @ Google CloudVerified email at google.com
cewu luProfessor of Shanghai Jiao Tong UniversityVerified email at cs.stanford.edu

Ranjay Krishna

Assistant Professor, University of Washington

Verified email at cs.washington.edu - Homepage

Computer Vision Human Computer Interaction Machine Learning Natural Language Processing


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Visual Genome: Connecting Language and Vision using Crowdsourced Dense Image Annotations R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ... IJCV: International Journal of Computer Vision, 45, 2016	5837	2016
On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021	3758	2021
Dense-Captioning Events in Videos R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles International Conference on Computer Vision, 2017	1387	2017
Visual Relationship Detection with Language Priors C Lu, R Krishna, M Bernstein, L Fei-Fei ECCV: European Conference on Computer Vision, 19, 2016	1304	2016
Image retrieval using scene graphs J Johnson, R Krishna, M Stark, LJ Li, D Shamma, M Bernstein, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2015	1257	2015
A hierarchical approach for generating descriptive image paragraphs J Krause, J Johnson, R Krishna, L Fei-Fei Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017	452	2017
Generating semantically precise scene graphs from textual descriptions for improved image retrieval S Schuster, R Krishna, A Chang, L Fei-Fei, CD Manning Proceedings of the fourth workshop on vision and language, 70-80, 2015	368	2015
Action Genome: Actions as Composition of Spatio-temporal Scene Graphs J Ji, R Krishna, L Fei-Fei, JC Niebles IEEE Conference on Computer Vision and Pattern Recognition, 2019	365	2019
Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes CY Hsieh, CL Li, CK Yeh, H Nakhost, Y Fujii, A Ratner, R Krishna, CY Lee, ... arXiv preprint arXiv:2305.02301, 2023	301	2023
Datacomp: In search of the next generation of multimodal datasets SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ... Advances in Neural Information Processing Systems 36, 2024	234	2024
Hype: A benchmark for human eye perceptual evaluation of generative models S Zhou, M Gordon, R Krishna, A Narcomey, LF Fei-Fei, M Bernstein Advances in neural information processing systems 32, 2019	155	2019
Conceptual metaphors impact perceptions of human-ai collaboration P Khadpe, R Krishna, L Fei-Fei, JT Hancock, MS Bernstein Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-26, 2020	146	2020
Explanations can reduce overreliance on ai systems during decision-making H Vasconcelos, M Jörke, M Grunde-McLaughlin, T Gerstenberg, ... Proceedings of the ACM on Human-Computer Interaction 7 (CSCW1), 1-38, 2023	145	2023
Referring relationships R Krishna, I Chami, M Bernstein, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2018	118	2018
Large language model as attributed training data generator: A tale of diversity and bias Y Yu, Y Zhuang, J Zhang, Y Meng, AJ Ratner, R Krishna, J Shen, C Zhang Advances in Neural Information Processing Systems 36, 2024	114	2024
Scene Graph Prediction with Limited Labels VS Chen, P Varma, R Krishna, M Bernstein, C Re, L Fei-Fei International Conference on Computer Vision, 2019	110	2019
Information Maximizing Visual Question Generation R Krishna, M Bernstein, L Fei-Fei Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019	107	2019
Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering Y Hu, B Liu, J Kasai, Y Wang, M Ostendorf, R Krishna, NA Smith Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	102	2023
Agqa: A benchmark for compositional spatio-temporal reasoning M Grunde-McLaughlin, R Krishna, M Agrawala Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	99	2021
Embracing Error to Enable Rapid Crowdsourcing R Krishna, K Hata, S Chen, J Kravitz, DA Shamma, L Fei-Fei, ... CHI: ACM Conference on Human Factors in Computing Systems, 2016, 13, 2016	99	2016

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