Xiang-chu Feng
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Xiang-chu Fengcomputer-science Degrees
Computer Science
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Machine Learning
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Artificial Intelligence
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Computer Science
Xiang-chu Feng's Degrees
- Bachelors Automation University of Science and Technology of China
- PhD Pattern Recognition and Intelligent System University of Science and Technology of China
Why Is Xiang-chu Feng Influential?
(Suggest an Edit or Addition)Xiang-chu Feng's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Sparse representation or collaborative representation: Which helps face recognition? (2011) (1978)
- Weighted Nuclear Norm Minimization with Application to Image Denoising (2014) (1575)
- Fisher Discrimination Dictionary Learning for sparse representation (2011) (968)
- Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision (2016) (545)
- Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification (2014) (463)
- Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features (2014) (463)
- Fractional-Order Anisotropic Diffusion for Image Denoising (2007) (457)
- Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising (2015) (337)
- Convolutional Sparse Coding for Image Super-Resolution (2015) (302)
- Projective dictionary pair learning for pattern classification (2014) (278)
- A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding (2013) (271)
- A Probabilistic Collaborative Representation Based Approach for Pattern Classification (2016) (254)
- Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising (2017) (231)
- Collaborative Representation based Classification for Face Recognition (2012) (228)
- Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning (2016) (135)
- Edge Strength Similarity for Image Quality Assessment (2013) (119)
- Support Vector Guided Dictionary Learning (2014) (113)
- FOCNet: A Fractional Optimal Control Network for Image Denoising (2019) (80)
- Variational Models for Fusion and Denoising of Multifocus Images (2008) (63)
- Nonconvex sparse regularizer based speckle noise removal (2013) (56)
- A new fast multiphase image segmentation algorithm based on nonconvex regularizer (2012) (48)
- Variational and PCA based natural image segmentation (2013) (43)
- Multiplicative noise removal via sparse and redundant representations over learned dictionaries and total variation (2012) (41)
- Perceptual Fidelity Aware Mean Squared Error (2013) (38)
- A coupled variational model for image denoising using a duality strategy and split Bregman (2014) (27)
- A multiscale image segmentation method (2016) (25)
- Discriminative and coherent subspace clustering (2018) (23)
- Rank constrained nuclear norm minimization with application to image denoising (2016) (23)
- Image Denoising Using Generalized Anisotropic Diffusion (2018) (23)
- Image denoising via 2D dictionary learning and adaptive hard thresholding (2013) (22)
- Image decomposition using adaptive second-order total generalized variation (2014) (22)
- Gradient-based Wiener filter for image denoising (2013) (22)
- Image decomposition and staircase effect reduction based on total generalized variation (2014) (22)
- Global sparse gradient guided variational Retinex model for image enhancement (2017) (20)
- Adaptive regularizer learning for low rank approximation with application to image denoising (2016) (18)
- Variational Image Restoration and Decomposition with Curvelet Shrinkage (2008) (18)
- Iterative reweighted total generalized variation based Poisson noise removal model (2013) (17)
- Image decomposition via learning the morphological diversity (2012) (17)
- Multiplicative noise removal combining a total variation regularizer and a nonconvex regularizer (2014) (16)
- Structured Sparse Subspace Clustering with Grouping-Effect-Within-Cluster (2018) (16)
- Anisotropic Diffusion with Nonlinear Structure Tensor (2008) (16)
- Multiple-step local Wiener filter with proper stopping in wavelet domain (2014) (15)
- Fuzzy region competition-based auto-color-theme design for textile images (2013) (15)
- Speckle Noise Reduction via Nonconvex High Total Variation Approach (2015) (15)
- Salient edge and region aware image retargeting (2014) (15)
- Structure and Texture Image Inpainting Using Sparse Representations and an Iterative Curvelet Thresholding Approach (2008) (14)
- Structured Sparse Subspace Clustering with Within-Cluster Grouping (2018) (14)
- CT and MRI image fusion based on multiscale decomposition method and hybrid approach (2019) (14)
- A New Watermarking Method Based on DWT (2005) (13)
- A further study on the inequality constraints in stochastic configuration networks (2019) (13)
- Wavelet iterative regularization for image restoration with varying scale parameter (2008) (13)
- Iterative Regularization and Nonlinear Inverse Scale Space Based on Translation Invariant Wavelet Shrinkage (2008) (13)
- Unified Discriminative and Coherent Semi-Supervised Subspace Clustering (2018) (13)
- On the Optimal Solution of Weighted Nuclear Norm Minimization (2014) (12)
- Anisotropic Diffusion Based Multiplicative Speckle Noise Removal (2019) (12)
- Dual non-autonomous deep convolutional neural network for image denoising (2021) (11)
- A fusion estimation method based on fractional Fourier transform (2016) (10)
- Change Field: A New Change Measure for VHR Images (2014) (10)
- Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image Segmentation (2017) (9)
- Online Schatten quasi-norm minimization for robust principal component analysis (2019) (9)
- Coupled dictionary learning method for image decomposition (2013) (9)
- Bayesian inference for adaptive low rank and sparse matrix estimation (2018) (9)
- Image denoising using local adaptive layered Wiener filter in the gradient domain (2015) (8)
- An extended variational image decomposition model for color image enhancement (2018) (8)
- A Self-Representation Induced Classifier (2016) (8)
- Weighted-l1-method-noise regularization for image deblurring (2019) (8)
- Adaptive variational models for image decomposition (2014) (7)
- Learning Deep Dictionary for Hyperspectral Image Denoising (2015) (7)
- Image decomposition fusion method based on sparse representation and neural network. (2017) (7)
- Image denoising via bidirectional low rank representation with cluster adaptive dictionary (2016) (6)
- A new variational method for selective segmentation of medical images (2022) (6)
- LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform (2020) (6)
- Multiscale nonlocal means for image denoising (2013) (6)
- Image decomposition and denoising using fractional-order partial differential equations (2020) (6)
- Multiplicative noise removal using primal–dual and reweighted alternating minimization (2016) (6)
- Root-transformation based multiplicative denoising model and its statistical analysis (2018) (6)
- Subspace Segmentation by Correlation Adaptive Regression (2018) (5)
- Image decomposition using nonconvex functional (2011) (5)
- Improvement of BM3D Algorithm Based on Wavelet and Directed Diffusion (2017) (5)
- Image Denoising via Asymptotic Nonlocal Filtering (2015) (4)
- Iteratively Reweighted Anisotropic-TV Based Multiplicative Noise Removal Model: Iteratively Reweighted Anisotropic-TV Based Multiplicative Noise Removal Model (2012) (4)
- A novel image segmentation model with an edge weighting function (2014) (4)
- An active contour method using harmonic mean (2016) (4)
- Hybrid Probabilistic Sparse Coding With Spatial Neighbor Tensor for Hyperspectral Imagery Classification (2018) (4)
- A variational image segmentation method exploring both intensity means and texture patterns (2019) (4)
- A divide-and-conquer stochastic alterable direction image denoising method (2015) (4)
- Image decomposition using optimally sparse representations and a variational approach (2007) (4)
- A global sparse gradient based coupled system for image denoising (2019) (4)
- A stochastic image denoising method based on adaptive patch-size (2019) (4)
- Local joint entropy based non-rigid multimodality image registration (2013) (4)
- The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation (2021) (4)
- Hybrid gradient-domain image denoising (2014) (4)
- Image Denoising Using Low-Rank Dictionary and Sparse Representation (2014) (3)
- Image restoration using total variation and anisotropic diffusion equation (2007) (3)
- Group discriminative least square regression for multicategory classification (2020) (3)
- Ridgelets Frame (2004) (3)
- 3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion (2021) (3)
- Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery (2020) (3)
- Deep RED Unfolding Network for Image Restoration (2021) (3)
- Texture preserving Perona-Malik model (2011) (3)
- W-LDMM: A Wasserstein driven low-dimensional manifold model for noisy image restoration (2020) (3)
- Optimization of the Regularization in Background and Foreground Modeling (2014) (2)
- PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion-advection equation (2022) (2)
- Accelerated Landweber Iterative Thresholding Algorithm in Wavelet Domain for Image Restoration: Accelerated Landweber Iterative Thresholding Algorithm in Wavelet Domain for Image Restoration (2011) (2)
- Relationship of d-dimensional continuous multi-scale wavelet shrinkage with integro-differential equations (2009) (2)
- A Cartoon-Texture Decomposition Based Multiplicative Noise Removal Method (2016) (2)
- Multiple wavelet basis image denoising by Wiener filter and projective method (2011) (2)
- Image decomposition using adaptive second-order total generalized variation (2012) (2)
- Wavelet image inpainting based on Dictionary Learning with a Beta Process (2012) (2)
- "Low-rank + dual" model based dimensionality reduction (2016) (2)
- A Manifold Laplacian Regularized Semi-Supervised Sparse Image Classification Method With a Variant Trace Lasso Norm (2020) (2)
- Image Segmentation by Active Contour Model with a New Data Fidelity (2017) (2)
- A new gradient-based nonlinear diffusion method applied to image denoising (2014) (2)
- Side-information-induced reweighted sparse subspace clustering (2021) (1)
- Single Image Dehazing Method Based on Cartoon-Texture Decomposition (2018) (1)
- RWRM: Residual Wasserstein regularization model for image restoration (2020) (1)
- Game theory based Bi-domanial deep subspace clustering (2022) (1)
- The multi-focus image fusion method based on CNN and SR (2020) (1)
- Joint image restoration and edge detection in cooperative game formulation (2021) (1)
- Exploit the similarity while preserving the difference for nonlocal image denoising (2013) (1)
- Learning smooth dictionary for image denoising (2013) (1)
- Weighted Nuclear Norms of Transformed Tensors for Nonlocal Hyperspectral Image Denoising (2022) (1)
- An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation: An Image Denoising Method Based on Non-local Two-side Random Projection and Low Rank Approximation (2014) (1)
- Task driven saliency detection for image retargeting (2016) (1)
- Plug-and-Play Based Optimization Algorithm for New Crime Density Estimation (2019) (1)
- Two-direction nonlocal model for image interpolation (2013) (1)
- Image Restoration Based on Adaptive Dual-Domain Filtering (2018) (1)
- Subspace Clustering with Sparsity and Grouping Effect (2017) (1)
- Group Discriminative Least Square Regression (2019) (1)
- Integral Equation-Wavelet Collocation Method for Geometric Transformation and Application to Image Processing (2014) (1)
- A bilevel optimization approach for estimating annealing parameters in image restoration problem (2022) (0)
- Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification (2014) (0)
- Two-step local Wiener filter using dual-tree complex wavelet transform (2011) (0)
- Sparse Recovery by Semi-Iterative Hard Thresholding Algorithm (2013) (0)
- A semi-supervised trace lasso norm regularized image classification method (2020) (0)
- Coupled dictionary learning method for image decomposition (2011) (0)
- A new multiplicative noise removal model combining cartoon-texture decomposition method (2016) (0)
- Subspace clustering by weighted correlation adaptive regression (2016) (0)
- Iterative regularization and inverse scale space methods with wave atoms (2011) (0)
- Weight Decay With Tailored Adam on Scale-Invariant Weights for Better Generalization. (2022) (0)
- Combination of FFST and SR: A New Multi-Focus Image Fusion Strategy (2019) (0)
- Adaptive variational models for image decomposition (2013) (0)
- Two Curvelets variational Models Depend on Decomposition Spaces (2013) (0)
- Models for Multiplicative Noise Removal (2021) (0)
- A characterization of the inverse Radon transform associated with the classical domain of type one (2009) (0)
- A coupled variational model for image denoising using a duality strategy and split Bregman (2012) (0)
- A Multiscale Variational Model for Image Decomposition: A Multiscale Variational Model for Image Decomposition (2014) (0)
- Supplementary Material to “ Convolutional Sparse Coding for Image Super-resolution ” (2015) (0)
- A class of bilinear matrix constraint optimization problem and its applications (2021) (0)
- Image Regularity and Fidelity Measure with a Two-Modality Potential Function (2017) (0)
- Non-Local Means Denoising Algorithm Based on the Kernelized L2-Norm (2018) (0)
- Accelerated Chambolle Projection Algorithms for Image Restoration (2022) (0)
- Domain-Aware Adaptive Logarithmic Transformation (2023) (0)
- Digital ridgelet reconstruction based on local dual frame (2007) (0)
- Application of Fisher information to CMOS noise estimation (2023) (0)
- A Class of Variational Model for Inverse Problem in Image Zooming: A Class of Variational Model for Inverse Problem in Image Zooming (2011) (0)
- Solving a New Class of Variational Models for Image Decomposition via Projection (2006) (0)
- HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration (2018) (0)
- Variational Decomposition Model in Besov Spaces and Negative Hilbert-Sobolev Spaces (2007) (0)
- Cartoon-Texture decomposition with patch-wise decorrelation (2022) (0)
- Image Denoising by a Novel Digital Curvelet Reconstruction Algorithm (2006) (0)
- Wavelet approach to image transformation (2005) (0)
- Subspace Clustering by Relaxed Block Diagonal Representation (2019) (0)
- Towards Robust 2D Convolution for Reliable Visual Recognition (2022) (0)
- A Folded Concave Penalty Regularized Subspace Clustering Method to Integrate Affinity and Clustering (2021) (0)
- An Integro-differential Equation Approach to Reconstructing Images Corrupted by Poisson Noise: An Integro-differential Equation Approach to Reconstructing Images Corrupted by Poisson Noise (2014) (0)
- Image denoising using local adaptive layered Wiener filter in the gradient domain (2014) (0)
- Low Dimensional Manifold Regularization Based Blind Image Inpainting and Non-Uniform Impulse Noise Recovery (2020) (0)
- An image denoising method based on Markov-Chain Monte Carlo sampling with alterable direction and low rank approximation (2013) (0)
- -method-noise regularization for image deblurring (2018) (0)
- Classification-Friendly Sparse Encoder and Classifier Learning (2020) (0)
- AMSS MODEL AND WAVELET-BASED AFFINE INVARIANT METHOD (2005) (0)
- Multiplicative noise removal via adaptive kernel regression and total variation: Multiplicative noise removal via adaptive kernel regression and total variation (2013) (0)
- A novel global method for edge extraction under Poisson noise: game theory (2022) (0)
- Simultaneous cartoon and texture for nonconvex image inpainting via the balanced approach (2013) (0)
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What Schools Are Affiliated With Xiang-chu Feng?
Xiang-chu Feng is affiliated with the following schools:
