Ranjay Krishna

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Li Fei-FeiProfessor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Kenji HataGoogleAdresse e-mail validée de google.com
Justin JohnsonAssistant Professor, University of Michigan; Research Scientist, Meta AIAdresse e-mail validée de umich.edu
David A. ShammaToyota Research InstituteAdresse e-mail validée de acm.org
Li-Jia LiChief AI, IEEE FellowAdresse e-mail validée de healthunity.org
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinAdresse e-mail validée de cs.utexas.edu
Oliver GrothResearch Scientist, DeepMindAdresse e-mail validée de deepmind.com
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Adresse e-mail validée de cs.stanford.edu
cewu luProfessor of Shanghai Jiao Tong UniversityAdresse e-mail validée de cs.stanford.edu
Madeleine Grunde-McLaughlinUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Mitchell L. GordonIncoming Assistant Professor, MIT EECS/CSAILAdresse e-mail validée de mit.edu
Jonathan KrauseGoogleAdresse e-mail validée de google.com
Alex RatnerAssistant Professor, University of WashingtonAdresse e-mail validée de cs.washington.edu
Sebastian SchusterPostdoc in Computer Science and Computational Linguistics, Saarland UniversityAdresse e-mail validée de uni-saarland.de
Angel ChangSimon Fraser UniversityAdresse e-mail validée de cs.stanford.edu
Maneesh AgrawalaStanford UniversityAdresse e-mail validée de graphics.stanford.edu
Jingwei JiResearch Scientist, WaymoAdresse e-mail validée de waymo.com
Cheng-Yu HsiehPh.D. student, University of WashingtonAdresse e-mail validée de cs.washington.edu

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Ranjay Krishna

Assistant Professor, University of Washington

Adresse e-mail validée de cs.washington.edu - Page d'accueil

Computer Vision Human Computer Interaction Machine Learning Natural Language Processing


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	4720	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	1920	2021
Visual Relationship Detection with Language Priors C Lu, R Krishna, M Bernstein, L Fei-Fei ECCV: European Conference on Computer Vision, 19, 2016	1160	2016
Dense-Captioning Events in Videos R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles International Conference on Computer Vision, 2017	1118	2017
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	1081	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	379	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	326	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	293	2019
Referring relationships R Krishna, I Chami, M Bernstein, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2018	106	2018
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	101	2019
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	99	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	91	2020
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	91	2016
Information Maximizing Visual Question Generation R Krishna, M Bernstein, L Fei-Fei Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019	87	2019
Mind your outliers! investigating the negative impact of outliers on active learning for visual question answering S Karamcheti, R Krishna, L Fei-Fei, CD Manning arXiv preprint arXiv:2107.02331, 2021	67	2021
The activitynet large-scale activity recognition challenge 2018 summary B Ghanem, JC Niebles, C Snoek, FC Heilbron, H Alwassel, V Escorcia, ... arXiv preprint arXiv:1808.03766, 2018	62	2018
Daemo: A self-governed crowdsourcing marketplace S Gaikwad, D Morina, R Nistala, M Agarwal, A Cossette, R Bhanu, ... Adjunct proceedings of the 28th annual ACM symposium on user interface …, 2015	61	2015
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	60	2021
Visual relationships as functions: Enabling few-shot scene graph prediction A Dornadula, A Narcomey, R Krishna, M Bernstein, FF Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	59	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	57	2023

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