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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
52812016
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
26792021
Dense-Captioning Events in Videos
R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles
International Conference on Computer Vision, 2017
12372017
Visual Relationship Detection with Language Priors
C Lu, R Krishna, M Bernstein, L Fei-Fei
ECCV: European Conference on Computer Vision, 19, 2016
12282016
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
11562015
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
4222017
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
3422015
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
3232019
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
1672023
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
1342019
Referring relationships
R Krishna, I Chami, M Bernstein, L Fei-Fei
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1142018
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
1132024
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
1092020
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
1052019
Information Maximizing Visual Question Generation
R Krishna, M Bernstein, L Fei-Fei
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
972019
Embracing Error to Enable Rapid Crowdsourcing
R Krishna, K Hata, S Chen, J Kravitz, DA Shamma, L Fei-Fei, ...
CHI: ACM Conference on Human Factors in Computing Systems, 2016, 13, 2016
952016
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
802023
Mind your outliers! investigating the negative impact of outliers on active learning for visual question answering
S Karamcheti, R Krishna, L Fei-Fei, CD Manning
arXiv preprint arXiv:2107.02331, 2021
742021
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
732021
The activitynet large-scale activity recognition challenge 2018 summary
B Ghanem, JC Niebles, C Snoek, FC Heilbron, H Alwassel, V Escorcia, ...
arXiv preprint arXiv:1808.03766, 2018
642018
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