Ranjay Krishna

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Li Fei-FeiProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Kenji HataOpenAIDirección de correo verificada de openai.com
Justin JohnsonCofounder, World LabsDirección de correo verificada de umich.edu
David A. ShammaToyota Research InstituteDirección de correo verificada de acm.org
Stephanie ChenUniversity of Western AustraliaDirección de correo verificada de uwa.edu.au
Yuke ZhuThe University of Texas at Austin, NVIDIA ResearchDirección de correo verificada de cs.utexas.edu
Li-Jia LiChief AI, IEEE FellowDirección de correo verificada de healthunity.org
Cheng-Yu HsiehPh.D. student, University of WashingtonDirección de correo verificada de cs.washington.edu
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Dirección de correo verificada de cs.stanford.edu
Aniruddha KembhaviSenior Director of Computer Vision, Allen Institute of Artificial IntelligenceDirección de correo verificada de allenai.org
Oliver GrothSenior Research Scientist, Google DeepMindDirección de correo verificada de deepmind.com
Jieyu ZhangUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Alex RatnerAssistant Professor, University of WashingtonDirección de correo verificada de cs.washington.edu
Chun-Liang LiResearch Scientist, AppleDirección de correo verificada de apple.com
Yushi HuUniversity of WashingtonDirección de correo verificada de uw.edu
Madeleine Grunde-McLaughlinUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Tomas PfisterHead of AI Research @ Google CloudDirección de correo verificada de google.com
Jiafei DuanComputer Science PhD Student, University of WashingtonDirección de correo verificada de cs.washington.edu
Linda ShapiroProfessor of Computer Science & Engineering, University of WashingtonDirección de correo verificada de cs.washington.edu

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Ranjay Krishna

Assistant Professor, University of Washington

Dirección de correo verificada de cs.washington.edu - Página principal

Computer Vision Human Computer Interaction Machine Learning Natural Language Processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	6324	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	4768	2021
Dense-Captioning Events in Videos R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles International Conference on Computer Vision, 2017	1532	2017
Visual Relationship Detection with Language Priors C Lu, R Krishna, M Bernstein, L Fei-Fei ECCV: European Conference on Computer Vision, 19, 2016	1367	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	1339	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	473	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	438	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	401	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	383	2015
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	366	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	214	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, 2024	187	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	175	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	168	2023
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	167	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	162	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	134	2023
Referring relationships R Krishna, I Chami, M Bernstein, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2018	126	2018
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	124	2021
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	116	2019

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