| 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 | 4101 | 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 | 1080 | 2021 |
| Visual Relationship Detection with Language Priors C Lu, R Krishna, M Bernstein, L Fei-Fei ECCV: European Conference on Computer Vision, 19, 2016 | 1059 | 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 | 968 | 2015 |
| Dense-Captioning Events in Videos R Krishna, K Hata, F Ren, L Fei-Fei, JC Niebles International Conference on Computer Vision, 2017 | 957 | 2017 |
| 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 | 341 | 2017 |
| 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 | 291 | 2015 |
| 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 | 235 | 2019 |
| 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 | 105 | 2019 |
| Referring relationships R Krishna, I Chami, M Bernstein, L Fei-Fei Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 94 | 2018 |
| 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 | 87 | 2016 |
| 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 | 85 | 2019 |
| Information Maximizing Visual Question Generation R Krishna, M Bernstein, L Fei-Fei Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 77 | 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 | 67 | 2020 |
| 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 | 59 | 2018 |
| Daemo: A self-governed crowdsourcing marketplace S Gaikwad, D Morina, R Nistala, M Agarwal, A Cossette, R Bhanu, ... Adjunct proceedings of the 28th annual ACM symposium on user interface …, 2015 | 58 | 2015 |
| Visual genome: Connecting language and vision using crowdsourced dense image annotations. 2016 R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ... URL https://arxiv. org/abs/1602.07332, 2016 | 55* | 2016 |
| Activitynet challenge 2017 summary B Ghanem, JC Niebles, C Snoek, FC Heilbron, H Alwassel, R Khrisna, ... arXiv preprint arXiv:1710.08011, 2017 | 54 | 2017 |
| Visual relationships as functions: Enabling few-shot scene graph prediction A Dornadula, A Narcomey, R Krishna, M Bernstein, FF Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 52 | 2019 |
| 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 | 47 | 2021 |
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
