Nianyi Li

According to our database, Nianyi Li authored at least 27 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised Moving Object Segmentation with Atmospheric Turbulence.

Dehao Qin, Ripon Kumar Saha, Woojeh Chung, Suren Jayasuriya, Jinwei Ye, Nianyi Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence.

Ripon Kumar Saha, Dehao Qin, Nianyi Li, Jinwei Ye, Suren Jayasuriya

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unsupervised Microscopy Video Denoising.

Mary Damilola Aiyetigbo, Alexander Korte, Ethan Anderson, Reda Chalhoub, Peter Kalivas, Feng Luo, Nianyi Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Free-view Face Relighting Using a Hybrid Parametric Neural Model on a SMALL-OLAT Dataset.

Youjia Wang, Kai He, Taotao Zhou, Kaixin Yao, Nianyi Li, Lan Xu, Jingyi Yu

Int. J. Comput. Vis., April, 2023

Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence.

Dehao Qin, Ripon K. Saha, Suren Jayasuriya, Jinwei Ye, Nianyi Li

CoRR, 2023

Unsupervised Coordinate-Based Video Denoising.

Mary Damilola Aiyetigbo, Dineshchandar Ravichandran, Reda Chalhoub, Peter Kalivas, Nianyi Li

CoRR, 2023

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision.

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

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

2022

NIMBLE: a non-rigid hand model with bones and muscles.

Yuwei Li, Longwen Zhang, Zesong Qiu, Yingwenqi Jiang, Nianyi Li, Yuexin Ma, Yuyao Zhang, Lan Xu, Jingyi Yu

ACM Trans. Graph., 2022

2021

Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists.

Albert Swiecicki, Nianyi Li, Jonathan O'Donnell, Nicholas Said, Jichen Yang, Richard C. Mather, William A. Jiranek, Maciej A. Mazurowski

Comput. Biol. Medicine, 2021

Learning to Remove Refractive Distortions from Underwater Images.

Simron Thapa, Nianyi Li, Jinwei Ye

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation.

Nianyi Li, Simron Thapa, Cameron Whyte, Albert W. Reed, Suren Jayasuriya, Jinwei Ye

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model.

Mateusz Buda, Ashirbani Saha, Ruth Walsh, Sujata V. Ghate, Nianyi Li, Albert Swiecicki, Joseph Y. Lo, Maciej A. Mazurowski

CoRR, 2020

Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms.

Albert Swiecicki, Nicholas Said, Jonathan O'Donnell, Mateusz Buda, Nianyi Li, William A. Jiranek, Maciej A. Mazurowski

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images.

Albert Swiecicki, Mateusz Buda, Ashirbani Saha, Nianyi Li, Sujata V. Ghate, Ruth Walsh, Maciej A. Mazurowski

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Automatic Kellgren-Lawrence grade estimation driven deep learning algorithms.

Nianyi Li, Albert Swiecicki, Nicholas Said, Jonathan O'Donnell, William A. Jiranek, Maciej A. Mazurowski

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Dynamic Fluid Surface Reconstruction Using Deep Neural Network.

Simron Thapa, Nianyi Li, Jinwei Ye

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Personalized Saliency and Its Prediction.

Yanyu Xu, Shenghua Gao, Junru Wu, Nianyi Li, Jingyi Yu

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Efficient 3D Face Recognition in Uncontrolled Environment.

Yuqi Ding, Nianyi Li, S. Susan Young, Jinwei Ye

Proceedings of the Advances in Visual Computing, 2019

Jittered Exposures for Light Field Super-Resolution.

Nianyi Li, Scott McCloskey, Jingyi Yu

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Deep Surface Light Fields.

Anpei Chen, Minye Wu, Yingliang Zhang, Nianyi Li, Jie Lu, Shenghua Gao, Jingyi Yu

Proc. ACM Comput. Graph. Interact. Tech., 2018

Jittered Exposures for Image Super-Resolution.

Nianyi Li, Scott McCloskey, Jingyi Yu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Saliency Detection on Light Field.

Nianyi Li, Jinwei Ye, Yu Ji, Haibin Ling, Jingyi Yu

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN.

Yanyu Xu, Nianyi Li, Junru Wu, Jingyi Yu, Shenghua Gao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Rotational Crossed-Slit Light Fields.

Nianyi Li, Haiting Lin, Bilin Sun, Mingyuan Zhou, Jingyi Yu

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Salient object detection via background contrast.

Quan Zhou, Nianyi Li, Jianxin Chen, Shu Cai, Longin Jan Latecki

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A weighted sparse coding framework for saliency detection.

Nianyi Li, Bilin Sun, Jingyi Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2012

Corner-surround Contrast for saliency detection.

Quan Zhou, Nianyi Li, Yi Yang, Pan Chen, Wenyu Liu

Proceedings of the 21st International Conference on Pattern Recognition, 2012