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IEEE Transactions on Visualization and Computer Graphics|June 6, 2025
Efficient Non-Local Point Cloud Denoising Using Curvature Entropy and $\gamma$γ-Norm MinimizationJian Chen, Feng Gao, Pingping Chen, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 26, 2012
Additive white Gaussian noise level estimation in SVD domain for imagesWei Liu, Weisi Lin
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 5, 2006
Adaptive downsampling to improve image compression at low bit ratesWeisi Lin, Li Dong
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|October 4, 2011
SVD-based quality metric for image and video using machine learningManish Narwaria, Weisi Lin
IEEE Transactions on Neural Networks|January 27, 2010
Objective image quality assessment based on support vector regressionManish Narwaria, Weisi Lin
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 10, 2026
You Only Train Once: A Unified Framework for Both Full-Reference and No-Reference Image Quality AssessmentYi Ke Yun, Weisi Lin
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 17, 2021
Approximate Intrinsic Voxel Structure for Point Cloud SimplificationChenlei Lv, Weisi Lin, Baoquan Zhao
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 14, 2011
Semisupervised biased maximum margin analysis for interactive image retrievalLining Zhang, Lipo Wang, Weisi Lin
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|October 5, 2011
Generalized biased discriminant analysis for content-based image retrievalLining Zhang, Lipo Wang, Weisi Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 23, 2022
Intrinsic and Isotropic Resampling for 3D Point CloudsChenlei Lv, Weisi Lin, Baoquan Zhao
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