Corner-surround Contrast for saliency detection. - Quan Zhou 004; Nianyi Li; Yi Yang; Pan Chen; Wenyu Liu 001 (ICPR, 2012)

A weighted sparse coding framework for saliency detection. - Nianyi Li; Bilin Sun; Jingyi Yu (CVPR, 2015)

Salient object detection via background contrast. - Quan Zhou 004; Nianyi Li; Jianxin Chen; Shu Cai; Longin Jan Latecki (ICASSP, 2015)

Rotational Crossed-Slit Light Fields. - Nianyi Li; Haiting Lin; Bilin Sun; Mingyuan Zhou; Jingyi Yu (CVPR, 2016)

Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. - Yanyu Xu; Nianyi Li; Junru Wu; Jingyi Yu; Shenghua Gao (IJCAI, 2017)

Saliency Detection on Light Field. - Nianyi Li; Jinwei Ye; Yu Ji 001; Haibin Ling; Jingyi Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Jittered Exposures for Image Super-Resolution. - Nianyi Li; Scott McCloskey; Jingyi Yu (CVPR Workshops, 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 Light Field Super-Resolution. - Nianyi Li; Scott McCloskey; Jingyi Yu (ICIP, 2019)

Efficient 3D Face Recognition in Uncontrolled Environment. - Yuqi Ding; Nianyi Li; S. Susan Young; Jinwei Ye (ISVC (1), 2019)

Personalized Saliency and Its Prediction. - Yanyu Xu; Shenghua Gao; Junru Wu; Nianyi Li; Jingyi Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Dynamic Fluid Surface Reconstruction Using Deep Neural Network. - Simron Thapa; Nianyi Li; Jinwei Ye (CVPR, 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 (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 (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 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)

Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation. - Nianyi Li; Simron Thapa; Cameron Whyte; Albert W. Reed; Suren Jayasuriya; Jinwei Ye (ICCV, 2021)

Learning to Remove Refractive Distortions from Underwater Images. - Simron Thapa; Nianyi Li; Jinwei Ye (ICCV, 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)

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)

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision. - Feng Luo 001; Ling Liu; G. Geoff Wang; Vijay Kumar 001; Mark S. Ashton; Jacob D. Abernethy; Fatemeh Afghah; Matthew H. E. M. Browning; David Coyle; Philip M. Dames; Tom O'Halloran; James Hays; et al. (CogMI, 2023)

Unsupervised Coordinate-Based Video Denoising. - Mary Damilola Aiyetigbo; Dineshchandar Ravichandran; Reda Chalhoub; Peter Kalivas; Nianyi Li (CoRR, 2023)

Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence. - Dehao Qin; Ripon K. Saha; Suren Jayasuriya; Jinwei Ye; Nianyi Li (CoRR, 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., 2023)

Unsupervised Microscopy Video Denoising. - Mary Damilola Aiyetigbo; Alexander Korte; Ethan Anderson; Reda Chalhoub; Peter Kalivas; Feng Luo; Nianyi Li (CVPR Workshops, 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 (CVPR, 2024)

Unsupervised Moving Object Segmentation with Atmospheric Turbulence. - Dehao Qin; Ripon Kumar Saha; Woojeh Chung; Suren Jayasuriya; Jinwei Ye; Nianyi Li (ECCV (6), 2024)

Unsupervised Coordinate-Based Video Denoising. - Mary Damilola Aiyetigbo; Dineshchandar Ravichandran; Reda Chalhoub; Peter Kalivas; Feng Luo; Nianyi Li (ICIP, 2024)

Generalizable Unsupervised Microscopy Video Denoising via Weighted SpatioTemporal Sampling. - Mary Damilola Aiyetigbo; Wanqi Yuan; Feng Luo 001; Xin Li; Tong Ye; Nianyi Li (CVPR Workshops, 2025)

Implicit Neural Representation for Video and Image Super-Resolution. - Mary Damilola Aiyetigbo; Wanqi Yuan; Feng Luo 001; Nianyi Li (CoRR, 2025)

Implicit Neural Representation for Video Restoration. - Mary Damilola Aiyetigbo; Wanqi Yuan; Feng Luo 001; Nianyi Li (CoRR, 2025)