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Nianyi Li
Nianyi Li
Assistant Professor, Clemson University
Verified email at clemson.edu - Homepage
Title
Cited by
Cited by
Year
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
5332014
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
1442015
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
692018
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
542021
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
492021
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
432018
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
322020
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
322020
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
262022
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
222021
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN.
Y Xu, N Li, J Wu, J Yu, S Gao
IJCAI, 3887-3893, 2017
222017
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
82020
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
72021
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
72016
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
62012
Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images
A Swiecicki, M Buda, A Saha, N Li, SV Ghate, R Walsh, MA Mazurowski
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 514-519, 2020
52020
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
52020
Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms
A Swiecicki, N Said, J O'Donnell, M Buda, N Li, WA Jiranek, ...
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 863-868, 2020
32020
Salient object detection via background contrast
Q Zhou, N Li, J Chen, S Cai, LJ Latecki
2015 IEEE international conference on acoustics, speech and signal …, 2015
32015
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
22023
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Articles 1–20