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 HataOpenAIAdresse e-mail validée de openai.com
David A. ShammaToyota Research InstituteAdresse e-mail validée de acm.org
Stephanie ChenUniversity of Western AustraliaAdresse e-mail validée de uwa.edu.au
Justin JohnsonCofounder, World LabsAdresse e-mail validée de umich.edu
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinAdresse e-mail validée de cs.utexas.edu
Li-Jia LiChief AI, IEEE FellowAdresse e-mail validée de healthunity.org
Oliver GrothSenior Research Scientist, Google DeepMindAdresse e-mail validée de deepmind.com
Cheng-Yu HsiehPh.D. student, University of WashingtonAdresse e-mail validée de cs.washington.edu
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Adresse e-mail validée de cs.stanford.edu
Jieyu ZhangUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Alex RatnerAssistant Professor, University of WashingtonAdresse e-mail validée de cs.washington.edu
Aniruddha KembhaviSenior Director of Computer Vision, Allen Institute of Artificial IntelligenceAdresse e-mail validée de allenai.org
Madeleine Grunde-McLaughlinUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Chun-Liang LiResearch Scientist, AppleAdresse e-mail validée de apple.com
Yushi HuUniversity of WashingtonAdresse e-mail validée de uw.edu
Chen-Yu LeeResearch Scientist, GoogleAdresse e-mail validée de google.com
Tomas PfisterHead of AI Research @ Google CloudAdresse e-mail validée de google.com
cewu luProfessor of Shanghai Jiao Tong UniversityAdresse e-mail validée de cs.stanford.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	6059	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	4190	2021
Dense-Captioning Events in Videos R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles International Conference on Computer Vision, 2017	1444	2017
Visual Relationship Detection with Language Priors C Lu, R Krishna, M Bernstein, L Fei-Fei ECCV: European Conference on Computer Vision, 19, 2016	1326	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	1295	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	460	2017
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	375	2019
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	374	2015
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	358	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	298	2024
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	179	2023
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	162	2019
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	150	2024
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	150	2020
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	130	2023
Referring relationships R Krishna, I Chami, M Bernstein, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2018	122	2018
Crepe: Can vision-language foundation models reason compositionally? Z Ma, J Hong, MO Gul, M Gandhi, I Gao, R Krishna Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	115	2023
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	111	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	111	2019
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	105	2021

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