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2020 – today
- 2025
[i10]Mary Damilola Aiyetigbo, Wanqi Yuan, Feng Luo, Nianyi Li:
Implicit Neural Representation for Video and Image Super-Resolution. CoRR abs/2503.04665 (2025)- 2024
- [c20]Mary Damilola Aiyetigbo, Alexander Korte, Ethan Anderson, Reda Chalhoub, Peter Kalivas, Feng Luo, Nianyi Li:
Unsupervised Microscopy Video Denoising. CVPR Workshops 2024: 6874-6883 - [c19]Ripon Kumar Saha, Dehao Qin, Nianyi Li, Jinwei Ye, Suren Jayasuriya:
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence. CVPR 2024: 25286-25296 - [c18]Dehao Qin, Ripon Kumar Saha, Woojeh Chung, Suren Jayasuriya, Jinwei Ye, Nianyi Li:
Unsupervised Moving Object Segmentation with Atmospheric Turbulence. ECCV (6) 2024: 18-37 - [c17]Mary Damilola Aiyetigbo, Dineshchandar Ravichandran, Reda Chalhoub, Peter Kalivas, Feng Luo, Nianyi Li:
Unsupervised Coordinate-Based Video Denoising. ICIP 2024: 1438-1444 - [i9]Mary Damilola Aiyetigbo, Alexander Korte, Ethan Anderson, Reda Chalhoub, Peter Kalivas, Feng Luo, Nianyi Li:
Unsupervised Microscopy Video Denoising. CoRR abs/2404.12163 (2024) - [i8]Ripon Kumar Saha, Dehao Qin, Nianyi Li, Jinwei Ye, Suren Jayasuriya:
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence. CoRR abs/2404.13605 (2024) - 2023
- [j6]Youjia Wang
, Kai He, Taotao Zhou, Kaixin Yao, Nianyi Li, Lan Xu, Jingyi Yu:
Free-view Face Relighting Using a Hybrid Parametric Neural Model on a SMALL-OLAT Dataset. Int. J. Comput. Vis. 131(4): 1002-1021 (2023) - [c16]Feng Luo, Ling Liu, G. Geoff Wang, Vijay Kumar, Mark S. Ashton, Jacob D. Abernethy, Fatemeh Afghah, Matthew H. E. M. Browning, David Coyle, Philip M. Dames, Tom O'Halloran, James Hays, Patrick Hiesl, Chenfanfu Jiang, Puskar Khanal, Venkat Narayan Krovi, Sara Kuebbing, Nianyi Li, JingJing Liang, Ninghao Liu, Steve McNulty, Christopher M. Oswalt, Neil Pederson, Demetri Terzopoulos, Christopher W. Woodall, Yongkai Wu, Jian Yang, Yin Yang, Liang Zhao:
Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision. CogMI 2023: 1-10 - [i7]Mary Damilola Aiyetigbo, Dineshchandar Ravichandran, Reda Chalhoub, Peter Kalivas, Nianyi Li:
Unsupervised Coordinate-Based Video Denoising. CoRR abs/2307.00179 (2023) - [i6]Dehao Qin, Ripon K. Saha, Suren Jayasuriya, Jinwei Ye, Nianyi Li:
Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence. CoRR abs/2311.03572 (2023) - 2022
- [j5]Yuwei Li, Longwen Zhang, Zesong Qiu, Yingwenqi Jiang, Nianyi Li, Yuexin Ma, Yuyao Zhang, Lan Xu, Jingyi Yu:
NIMBLE: a non-rigid hand model with bones and muscles. ACM Trans. Graph. 41(4): 120:1-120:16 (2022) - [i5]Yuwei Li, Longwen Zhang, Zesong Qiu, Yingwenqi Jiang, Yuyao Zhang, Nianyi Li, Yuexin Ma, Lan Xu, Jingyi Yu:
NIMBLE: A Non-rigid Hand Model with Bones and Muscles. CoRR abs/2202.04533 (2022) - [i4]Albert Swiecicki, Nianyi Li, Jonathan O'Donnell, Nicholas Said, Jichen Yang, Richard C. Mather, William A. Jiranek, Maciej A. Mazurowski:
Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists. CoRR abs/2207.12521 (2022) - 2021
- [j4]Albert Swiecicki, Nianyi Li, Jonathan O'Donnell, Nicholas Said, Jichen Yang, Richard C. Mather, William A. Jiranek, Maciej A. Mazurowski:
Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists. Comput. Biol. Medicine 133: 104334 (2021) - [c15]Nianyi Li, Simron Thapa, Cameron Whyte, Albert W. Reed, Suren Jayasuriya, Jinwei Ye:
Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation. ICCV 2021: 2502-2512 - [c14]Simron Thapa, Nianyi Li, Jinwei Ye:
Learning to Remove Refractive Distortions from Underwater Images. ICCV 2021: 4987-4996 - 2020
- [c13]Simron Thapa, Nianyi Li, Jinwei Ye:
Dynamic Fluid Surface Reconstruction Using Deep Neural Network. CVPR 2020: 21-30 - [c12]Nianyi Li, Albert Swiecicki, Nicholas Said, Jonathan O'Donnell, William A. Jiranek, Maciej A. Mazurowski:
Automatic Kellgren-Lawrence grade estimation driven deep learning algorithms. Computer-Aided Diagnosis 2020 - [c11]Albert Swiecicki, Mateusz Buda, Ashirbani Saha, Nianyi Li, Sujata V. Ghate, Ruth Walsh, Maciej A. Mazurowski:
Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images. Computer-Aided Diagnosis 2020 - [c10]Albert Swiecicki, Nicholas Said, Jonathan O'Donnell, Mateusz Buda, Nianyi Li, William A. Jiranek, Maciej A. Mazurowski:
Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms. Computer-Aided Diagnosis 2020 - [i3]Mateusz Buda, Ashirbani Saha, Ruth Walsh, Sujata V. Ghate, Nianyi Li, Albert Swiecicki, Joseph Y. Lo, Maciej A. Mazurowski:
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model. CoRR abs/2011.07995 (2020)
2010 – 2019
- 2019
- [j3]Yanyu Xu, Shenghua Gao, Junru Wu, Nianyi Li, Jingyi Yu:
Personalized Saliency and Its Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2975-2989 (2019) - [c9]Nianyi Li, Scott McCloskey, Jingyi Yu:
Jittered Exposures for Light Field Super-Resolution. ICIP 2019: 4345-4349 - [c8]Yuqi Ding, Nianyi Li, S. Susan Young, Jinwei Ye:
Efficient 3D Face Recognition in Uncontrolled Environment. ISVC (1) 2019: 430-443 - 2018
- [j2]Anpei Chen, Minye Wu, Yingliang Zhang, Nianyi Li, Jie Lu, Shenghua Gao, Jingyi Yu:
Deep Surface Light Fields. Proc. ACM Comput. Graph. Interact. Tech. 1(1): 14:1-14:17 (2018) - [c7]Nianyi Li, Scott McCloskey, Jingyi Yu:
Jittered Exposures for Image Super-Resolution. CVPR Workshops 2018: 1852-1859 - [i2]Anpei Chen, Minye Wu, Yingliang Zhang, Nianyi Li, Jie Lu, Shenghua Gao, Jingyi Yu:
Deep Surface Light Fields. CoRR abs/1810.06514 (2018) - 2017
- [j1]Nianyi Li, Jinwei Ye, Yu Ji, Haibin Ling, Jingyi Yu:
Saliency Detection on Light Field. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1605-1616 (2017) - [c6]Yanyu Xu, Nianyi Li, Junru Wu, Jingyi Yu, Shenghua Gao:
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. IJCAI 2017: 3887-3893 - [i1]Yanyu Xu, Junru Wu, Nianyi Li, Shenghua Gao, Jingyi Yu:
Personalized Saliency and its Prediction. CoRR abs/1710.03011 (2017) - 2016
- [c5]Nianyi Li, Haiting Lin, Bilin Sun, Mingyuan Zhou, Jingyi Yu:
Rotational Crossed-Slit Light Fields. CVPR 2016: 4405-4413 - 2015
- [c4]Nianyi Li, Bilin Sun, Jingyi Yu:
A weighted sparse coding framework for saliency detection. CVPR 2015: 5216-5223 - [c3]Quan Zhou, Nianyi Li, Jianxin Chen, Shu Cai, Longin Jan Latecki:
Salient object detection via background contrast. ICASSP 2015: 1463-1467 - 2014
- [c2]Nianyi Li, Jinwei Ye, Yu Ji, Haibin Ling, Jingyi Yu:
Saliency Detection on Light Field. CVPR 2014: 2806-2813 - 2012
- [c1]Quan Zhou, Nianyi Li, Yi Yang, Pan Chen, Wenyu Liu:
Corner-surround Contrast for saliency detection. ICPR 2012: 1423-1426
Coauthor Index
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