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Ranjay Krishna
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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
60832016
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
42702021
Dense-Captioning Events in Videos
R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles
International Conference on Computer Vision, 2017
14562017
Visual Relationship Detection with Language Priors
C Lu, R Krishna, M Bernstein, L Fei-Fei
ECCV: European Conference on Computer Vision, 19, 2016
13282016
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
13002015
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
4592017
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
3792019
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
3742015
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
3682023
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
3042024
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
1802023
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
1632019
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
1522024
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
1512020
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
1362023
Referring relationships
R Krishna, I Chami, M Bernstein, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1232018
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
1172023
Information Maximizing Visual Question Generation
R Krishna, M Bernstein, L Fei-Fei
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
1122019
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
1112019
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
1042021
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