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
Justin JohnsonCofounder, World LabsAdresse e-mail validée de umich.edu
David A. ShammaToyota Research InstituteAdresse e-mail validée de acm.org
Yuke ZhuThe University of Texas at Austin, NVIDIA ResearchAdresse e-mail validée de cs.utexas.edu
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
Li-Jia LiChief AI, IEEE FellowAdresse e-mail validée de healthunity.org
Aniruddha KembhaviDirector, WayveAdresse e-mail validée de wayve.ai
Jieyu ZhangUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Oliver GrothSenior Research Scientist, Google DeepMindAdresse e-mail validée de deepmind.com
Alex RatnerAssistant Professor, University of WashingtonAdresse e-mail validée de cs.washington.edu
Chun-Liang LiApple and University of WashingtonAdresse e-mail validée de apple.com
Yushi HuUniversity of WashingtonAdresse e-mail validée de uw.edu
Madeleine Grunde-McLaughlinUniversity of WashingtonAdresse e-mail validée de cs.washington.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
Jiafei DuanComputer Science PhD Student, University of WashingtonAdresse e-mail validée de cs.washington.edu
Linda ShapiroProfessor of Computer Science & Engineering, 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	6392	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	4981	2021
Dense-Captioning Events in Videos R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles International Conference on Computer Vision, 2017	1539	2017
Visual Relationship Detection with Language Priors C Lu, R Krishna, M Bernstein, L Fei-Fei ECCV: European Conference on Computer Vision, 19, 2016	1370	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	1350	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	477	2017
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	467	2023
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	406	2019
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, 27092-27112, 2023	393	2023
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	384	2015
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	222	2023
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, 55734-55784, 2023	209	2023
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	183	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	176	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	170	2020
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration⁰ A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024	149	2024
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	143	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	126	2021
Referring relationships R Krishna, I Chami, M Bernstein, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2018	125	2018
Sugarcrepe: Fixing hackable benchmarks for vision-language compositionality CY Hsieh, J Zhang, Z Ma, A Kembhavi, R Krishna Advances in neural information processing systems 36, 31096-31116, 2023	117	2023

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