Ranjay Krishna

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Li Fei-FeiProfessor of Computer Science, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Kenji HataOpenAIPatvirtintas el. paštas openai.com
Justin JohnsonCofounder, World LabsPatvirtintas el. paštas umich.edu
David A. ShammaToyota Research InstitutePatvirtintas el. paštas acm.org
Stephanie ChenUniversity of Western AustraliaPatvirtintas el. paštas uwa.edu.au
Yuke ZhuThe University of Texas at Austin, NVIDIA ResearchPatvirtintas el. paštas cs.utexas.edu
Cheng-Yu HsiehPh.D. student, University of WashingtonPatvirtintas el. paštas cs.washington.edu
Li-Jia LiChief AI, IEEE FellowPatvirtintas el. paštas healthunity.org
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Patvirtintas el. paštas cs.stanford.edu
Aniruddha KembhaviSenior Director of Computer Vision, Allen Institute of Artificial IntelligencePatvirtintas el. paštas allenai.org
Jieyu ZhangUniversity of WashingtonPatvirtintas el. paštas cs.washington.edu
Oliver GrothSenior Research Scientist, Google DeepMindPatvirtintas el. paštas deepmind.com
Alex RatnerAssistant Professor, University of WashingtonPatvirtintas el. paštas cs.washington.edu
Chun-Liang LiResearch Scientist, ApplePatvirtintas el. paštas apple.com
Yushi HuUniversity of WashingtonPatvirtintas el. paštas uw.edu
Madeleine Grunde-McLaughlinUniversity of WashingtonPatvirtintas el. paštas cs.washington.edu
Chen-Yu LeeResearch Scientist, GooglePatvirtintas el. paštas google.com
Tomas PfisterHead of AI Research @ Google CloudPatvirtintas el. paštas google.com
Jiafei DuanComputer Science PhD Student, University of WashingtonPatvirtintas el. paštas cs.washington.edu

Stebėti

Ranjay Krishna

Assistant Professor, University of Washington

Patvirtintas el. paštas cs.washington.edu - Pagrindinis puslapis

Computer Vision Human Computer Interaction Machine Learning Natural Language Processing


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	6326	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	4812	2021
Dense-Captioning Events in Videos R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles International Conference on Computer Vision, 2017	1518	2017
Visual Relationship Detection with Language Priors C Lu, R Krishna, M Bernstein, L Fei-Fei ECCV: European Conference on Computer Vision, 19, 2016	1361	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	475	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	451	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	382	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, 27092-27112, 2023	376	2023
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	216	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	197	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	175	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	173	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	167	2020
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	138	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	124	2018
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	115	2019
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	113	2024

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