| Saliency detection on light field N Li, J Ye, Y Ji, H Ling, J Yu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 634 | 2014 |
| A weighted sparse coding framework for saliency detection N Li, B Sun, J Yu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 166 | 2015 |
| Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists A Swiecicki, N Li, J O'Donnell, N Said, J Yang, RC Mather, WA Jiranek, ... Computers in biology and medicine 133, 104334, 2021 | 121 | 2021 |
| A data set and deep learning algorithm for the detection of masses and architectural distortions in digital breast tomosynthesis images M Buda, A Saha, R Walsh, S Ghate, N Li, A Święcicki, JY Lo, ... JAMA network open 4 (8), e2119100-e2119100, 2021 | 106 | 2021 |
| Deep surface light fields A Chen, M Wu, Y Zhang, N Li, J Lu, S Gao, J Yu Proceedings of the ACM on Computer Graphics and Interactive Techniques 1 (1 …, 2018 | 82 | 2018 |
| Nimble: a non-rigid hand model with bones and muscles Y Li, L Zhang, Z Qiu, Y Jiang, N Li, Y Ma, Y Zhang, L Xu, J Yu ACM Transactions on Graphics (TOG) 41 (4), 1-16, 2022 | 63 | 2022 |
| Unsupervised non-rigid image distortion removal via grid deformation N Li, S Thapa, C Whyte, AW Reed, S Jayasuriya, J Ye Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 55 | 2021 |
| Personalized saliency and its prediction Y Xu, S Gao, J Wu, N Li, J Yu IEEE transactions on pattern analysis and machine intelligence 41 (12), 2975 …, 2018 | 52 | 2018 |
| Dynamic fluid surface reconstruction using deep neural network S Thapa, N Li, J Ye Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 49 | 2020 |
| Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model M Buda, A Saha, R Walsh, S Ghate, N Li, A Święcicki, JY Lo, ... arXiv preprint arXiv:2011.07995, 2020 | 43 | 2020 |
| Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. Y Xu, N Li, J Wu, J Yu, S Gao IJCAI, 3887-3893, 2017 | 26 | 2017 |
| Learning to remove refractive distortions from underwater images S Thapa, N Li, J Ye Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 21 | 2021 |
| Turb-seg-res: A segment-then-restore pipeline for dynamic videos with atmospheric turbulence RK Saha, D Qin, N Li, J Ye, S Jayasuriya Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
| Breast cancer screening–digital breast tomosynthesis (BCS-DBT) M Buda, A Saha, R Walsh, S Ghate, N Li, A Swiecicki, JY Lo, J Yang, ... Type: dataset, Google Scholar, 2020 | 12 | 2020 |
| Breast Cancer Screening–Digital Breast Tomosynthesis (BCS-DBT)[Data set] M Buda, A Saha, R Walsh, S Ghate, N Li, A Swiecicki, JY Lo, J Yang, ... Cancer Imaging Arch, 2020 | 12 | 2020 |
| Data from the breast cancer screening–digital breast tomosynthesis (bcs-dbt) M Buda, A Saha, R Walsh, S Ghate, N Li, A Święcicki, JY Lo, J Yang, ... Data from The Cancer Imaging Archive, 2020 | 12 | 2020 |
| Free-view face relighting using a hybrid parametric neural model on a small-olat dataset Y Wang, K He, T Zhou, K Yao, N Li, L Xu, J Yu International Journal of Computer Vision 131 (4), 1002-1021, 2023 | 9 | 2023 |
| Rotational crossed-slit light field N Li, H Lin, B Sun, M Zhou, J Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 7 | 2016 |
| Corner-surround contrast for saliency detection Q Zhou, N Li, Y Yang, P Chen, W Liu Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 6 | 2012 |
| Unsupervised microscopy video denoising M Aiyetigbo, A Korte, E Anderson, R Chalhoub, P Kalivas, F Luo, N Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
Jinwei YeGeorge Mason UniversityVerified email at gmu.edu
