我们收录了 "林宙辰" 的 248 篇 paper：

• Invertible Image Rescaling., 2020-05-14
• Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding., 2020-05-10
• The Shape Interaction Matrix-Based Affine Invariant Mismatch Removal for Partial-Duplicate Image Search., 2020-05-10
• The Augmented Homogeneous Coordinates Matrix-Based Projective Mismatch Removal for Partial-Duplicate Image Search., 2020-05-10
• Automatic Design of High-Sensitivity Color Filter Arrays With Panchromatic Pixels., 2020-05-10
• Low-Rank Matrix Recovery Via Robust Outlier Estimation., 2020-05-10
• Penrose Demosaicking., 2020-05-10
• Label Information Guided Graph Construction for Semi-Supervised Learning., 2020-05-10
• A Regularized Approach for Geodesic-Based Semisupervised Multimanifold Learning., 2020-05-10
• A Geometric Method for Optimal Design of Color Filter Arrays., 2020-05-10
• Binary Multidimensional Scaling for Hashing., 2020-05-10
• Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering., 2020-05-10
• Bilevel Model-Based Discriminative Dictionary Learning for Recognition., 2020-05-10
• Neural Multimodal Cooperative Learning Toward Micro-Video Understanding., 2020-05-10
• Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking., 2020-05-10
• Tensor Factorization for Low-Rank Tensor Completion., 2020-05-10
• A Generalized Accelerated Proximal Gradient Approach for Total-Variation-Based Image Restoration., 2020-05-10
• Essential Tensor Learning for Multi-View Spectral Clustering., 2020-05-10
• Convex Sparse Spectral Clustering: Single-View to Multi-View., 2020-05-10
• Automatic Design of Color Filter Arrays in the Frequency Domain., 2020-05-10
• Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features., 2020-05-10
• Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm., 2020-05-10
• Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization., 2020-05-10
• Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification., 2020-05-10
• Radon Representation-Based Feature Descriptor for Texture Classification., 2020-05-10
• Globally Variance-Constrained Sparse Representation for Image Set Compression., 2020-05-07
• Globally Variance-Constrained Sparse Representation for Rate-Distortion Optimized Image Representation., 2020-05-07
• Expectation-Maximization Attention Networks for Semantic Segmentation., 2020-03-30
• Expectation-Maximization Attention Networks for Semantic Segmentation., 2020-03-26
• Spatial Pyramid Based Graph Reasoning for Semantic Segmentation., 2020-03-26
• Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm., 2020-03-19
• Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction., 2020-03-13
• A Geometric Analysis of Light Field Rendering., 2020-03-13
• Limits of Learning-Based Superresolution Algorithms., 2020-03-13
• Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures., 2020-03-13
• Completing Low-Rank Matrices With Corrupted Samples From Few Coefficients in General Basis., 2020-03-10
• Tensor LRR and Sparse Coding-Based Subspace Clustering., 2020-03-09
• Integrated Low-Rank-Based Discriminative Feature Learning for Recognition., 2020-03-09
• ℓ1-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions., 2020-03-09
• L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction., 2020-03-09
• Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution., 2020-03-06
• Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation., 2020-03-06
• Accelerated Proximal Gradient Methods for Nonconvex Programming., 2020-03-06
• Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification., 2020-03-06
• Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers., 2020-03-06
• SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator., 2020-03-06
• Classification via Minimum Incremental Coding Length (MICL)., 2020-03-06
• Deep Comprehensive Correlation Mining for Image Clustering., 2020-03-05
• Revisiting EXTRA for Smooth Distributed Optimization., 2020-03-03
• Provable accelerated gradient method for nonconvex low rank optimization., 2020-03-02
• Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning., 2020-03-02
• A new discriminant subspace analysis approach for multi-class problems., 2020-02-24
• Multi-output regression on the output manifold., 2020-02-24
• Transformation invariant subspace clustering., 2020-02-24
• Style-preserving English handwriting synthesis., 2020-02-24
• Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis., 2020-02-24
• Rule-based cleanup of on-line English ink notes., 2020-02-24
• Feature learning via partial differential equation with applications to face recognition., 2020-02-24
• Robust nuclear norm regularized regression for face recognition with occlusion., 2020-02-24
• Feature extraction by learning Lorentzian metric tensor and its extensions., 2020-02-24
• Tensor linear Laplacian discrimination (TLLD) for feature extraction., 2020-02-24
• Optimized projections for compressed sensing via direct mutual coherence minimization., 2020-02-22
• Two-weight and three-weight linear codes based on Weil sums., 2020-02-22
• Fast gradient vector flow computation based on augmented Lagrangian method., 2020-02-22
• Efficient tree-structured SfM by RANSAC generalized Procrustes analysis., 2020-02-21
• Toward designing intelligent PDEs for computer vision: An optimal control approach., 2020-02-20
• Correction and rectification of light fields., 2020-02-19
• Self-Supervised Convolutional Subspace Clustering Network., 2020-01-20
• Histogram Transform Ensembles for Large-scale Regression., 2020-01-07
• Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy., 2019-12-03
• Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families., 2019-12-03
• SOGNet: Scene Overlap Graph Network for Panoptic Segmentation., 2019-12-02
• Subspace Clustering by Block Diagonal Representation., 2019-11-18
• Subspace Clustering by Block Diagonal Representation., 2019-11-18
• Virtual Adversarial Training on Graph Convolutional Networks in Node Classification., 2019-11-04
• Neural Ordinary Differential Equations with Envolutionary Weights., 2019-11-04
• Tensor Q-Rank: A New Data Dependent Tensor Rank., 2019-10-31
• R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal., 2019-10-14
• Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications., 2019-10-11
• Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications., 2019-10-11
• Sharp Analysis for Nonconvex SGD Escaping from Saddle Points., 2019-10-09
• SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator., 2019-10-09
• Sharp Analysis for Nonconvex SGD Escaping from Saddle Points., 2019-10-09
• Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications., 2019-09-26
• Lifted Proximal Operator Machines., 2019-09-25
• Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm., 2019-09-10
• Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization., 2019-09-10
• Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization., 2019-09-10
• ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery., 2019-08-20
• Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements., 2019-08-20
• Adaptive Sharing for Image Classification., 2019-08-20
• AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models., 2019-08-19
• Alternating Multi-bit Quantization for Recurrent Neural Networks., 2019-07-25
• ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition., 2019-06-24
• Differentiable Linearized ADMM., 2019-06-11
• Subspace Clustering Under Complex Noise., 2019-06-03
• Accelerated Alternating Direction Method of Multipliers: An Optimal O(1 / K) Nonergodic Analysis., 2019-05-31
• Robust 3D Human Pose Estimation from Single Images or Video Sequences., 2019-05-31
• Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning., 2019-05-29
• Differentiable Linearized ADMM., 2019-05-28
• Self-Supervised Convolutional Subspace Clustering Network., 2019-05-27
• Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN., 2019-05-21
• Virtual Adversarial Training on Graph Convolutional Networks in Node Classification., 2019-05-21
• Multi-Stage Self-Supervised Learning for Graph Convolutional Networks., 2019-05-21
• Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors., 2019-05-21
• Penrose high-dynamic-range imaging., 2019-05-14
• Kernel Nyström method for light transport., 2019-05-14
• Deep Comprehensive Correlation Mining for Image Clustering., 2019-04-25
• Robust Subspace Segmentation by Low-Rank Representation., 2019-04-04
• Robust Recovery of Subspace Structures by Low-Rank Representation, 2019-04-04
• Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)., 2019-04-03
• Optimization Algorithm Inspired Deep Neural Network Structure Design., 2019-04-03
• Robust Recovery of Subspace Structures by Low-Rank Representation., 2019-04-03
• Construction of Incoherent Dictionaries via Direct Babel Function Minimization., 2019-04-03
• Classification via Minimum Incremental Coding Length., 2019-03-11
• ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition., 2019-02-27
• Low Rank Global Geometric Consistency for Partial-Duplicate Image Search., 2019-02-12
• A novel approach to expression recognition from non-frontal face images., 2019-02-11
• Convolutional Neural Networks With Alternately Updated Clique., 2019-02-06
• Generalized Nonconvex Nonsmooth Low-Rank Minimization., 2019-02-06
• t-Schatten-p Norm for Low-Rank Tensor Recovery., 2019-01-18
• Subspace clustering by Mixture of Gaussian Regression., 2019-01-09
• A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank., 2018-12-23
• Lifted Proximal Operator Machines., 2018-11-22
• Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval., 2018-11-21
• Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining., 2018-11-15
• Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining., 2018-11-15
• Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis., 2018-11-14
• A Unified Alternating Direction Method of Multipliers by Majorization Minimization., 2018-11-14
• The multiscale competitive code via sparse representation for palmprint verification., 2018-11-14
• Table Detection in Online Ink Notes., 2018-11-14
• Fast Multidimensional Ellipsoid-Specific Fitting by Alternating Direction Method of Multipliers., 2018-11-14
• Relations Among Some Low-Rank Subspace Recovery Models., 2018-11-14
• Laplacian Regularized Low-Rank Representation and Its Applications., 2018-11-14
• On the Applications of Robust PCA in Image and Video Processing., 2018-11-14
• Robust Matrix Factorization by Majorization Minimization., 2018-11-14
• Learning Markov random walks for robust subspace clustering and estimation., 2018-11-14
• Penrose Pixels for Super-Resolution., 2018-11-14
• A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors., 2018-11-14
• High Resolution Animated Scenes from Stills., 2018-11-14
• Modeling and rendering of heterogeneous translucent materials using the diffusion equation., 2018-11-06
• Real-time rendering of realistic rain., 2018-11-06
• Multiple Models Fusion for Emotion Recognition in the Wild., 2018-11-06
• Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors., 2018-11-06
• Multi-view common space learning for emotion recognition in the wild., 2018-11-06
• Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval., 2018-11-06
• Adaptive Partial Differential Equation Learning for Visual Saliency Detection., 2018-11-02
• Optimization Algorithm Inspired Deep Neural Network Structure Design., 2018-10-31
• Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis., 2018-10-22
• Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution., 2018-10-05
• Rectification of Optical Characters as Transform Invariant Low-Rank Textures., 2018-09-25
• Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features., 2018-09-25
• The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices., 2018-09-25
• Transform invariant text extraction., 2018-09-25
• Non-negative low rank and sparse graph for semi-supervised learning., 2018-09-25
• Locality-preserving low-rank representation for graph construction from nonlinear manifolds., 2018-09-17
• Demosaicking based on channel-correlation adaptive dictionary learning., 2018-09-05
• On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems., 2018-09-02
• Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization., 2018-08-24
• Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting., 2018-08-24
• Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting., 2018-08-24
• Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach, 2018-08-13
• A Unified Convex Surrogate for the Schatten-$p$ Norm., 2018-08-13
• Convex Sparse Spectral Clustering: Single-view to Multi-view., 2018-08-13
• Convolutional Neural Networks with Alternately Updated Clique., 2018-08-13
• Learning Deep Convolutional Neural Networks for Places2 Scene Recognition., 2018-08-13
• Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis., 2018-08-13
• Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures., 2018-08-13
• Generalized Singular Value Thresholding., 2018-08-13
• Analysis and Improvement of Low Rank Representation for Subspace segmentation, 2018-08-13
• Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering, 2018-08-13
• Generalized Nonconvex Nonsmooth Low-Rank Minimization., 2018-08-13
• Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements., 2018-08-13
• A Unified Alternating Direction Method of Multipliers by Majorization Minimization., 2018-08-13
• Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization., 2018-08-13
• Robust Estimation of 3D Human Poses from a Single Image., 2018-08-13
• A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms, 2018-08-13
• Essential Tensor Learning for Multi-view Spectral Clustering., 2018-08-13
• Fixed-Rank Representation for Unsupervised Visual Learning, 2018-08-13
• Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm., 2018-08-13
• Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation., 2018-08-13
• Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning., 2018-08-13
• Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis., 2018-08-13
• Correlation Adaptive Subspace Segmentation by Trace Lasso., 2018-08-13
• Some Software Packages for Partial SVD Computation, 2018-08-13
• Correntropy Induced L2 Graph for Robust Subspace Clustering., 2018-08-13
• Alternating Multi-bit Quantization for Recurrent Neural Networks., 2018-08-13
• Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization., 2018-08-13
• Relaxed Majorization-Minimization for Non-smooth and Non-convex Optimization., 2018-08-13
• Relations among Some Low Rank Subspace Recovery Models., 2018-08-13
• Detecting Doctored JPEG Images Via DCT Coefficient Analysis., 2018-07-03
• Fast Compressive Phase Retrieval under Bounded Noise., 2018-04-25
• Robust latent low rank representation for subspace clustering., 2018-04-24
• Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds., 2018-04-24
• Emotion Recognition from Arbitrary View Facial Images., 2018-04-02
• Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning., 2018-03-27
• Perceptual image preview., 2017-11-28
• Smooth Representation Clustering., 2017-11-27
• Dictionary learning with structured noise., 2017-11-22
• Robust Estimation of 3D Human Poses from a Single Image., 2017-09-19
• Robust Low-Rank Regularized Regression for Face Recognition with Occlusion., 2017-09-15
• Factorization for projective and metric reconstruction via truncated nuclear norm., 2017-07-10
• Linear time Principal Component Pursuit and its extensions using ℓ1 filtering., 2017-06-06
• Tensor LRR based subspace clustering., 2017-06-04
• The frequency structure matrix: A representation of color filter arrays., 2017-05-28
• Geodesic Based Semi-supervised Multi-manifold Feature Extraction., 2017-05-26
• Robust Kernel Estimation with Outliers Handling for Image Deblurring., 2017-05-25
• Detecting Doctored Images Using Camera Response Normality and Consistency., 2017-05-25
• Image tag completion and refinement by subspace clustering and matrix completion., 2017-05-25
• On the Fundamental Limits of Reconstruction-Based Super-Resolution Algorithms., 2017-05-25
• Classification via semi-Riemannian spaces., 2017-05-25
• On the Number of Samples Needed in Light Field Rendering with Constant-Depth Assumption., 2017-05-25
• Fixed-rank representation for unsupervised visual learning., 2017-05-25
• L1-norm global geometric consistency for partial-duplicate image retrieval., 2017-05-25
• Linear Laplacian Discrimination for Feature Extraction., 2017-05-25
• Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction., 2017-05-25
• Robust Subspace Segmentation with Block-Diagonal Prior., 2017-05-25
• A new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm., 2017-05-25
• Limits of Learning-Based Superresolution Algorithms., 2017-05-24
• Penrose Pixels Super-Resolution in the Detector Layout Domain., 2017-05-24
• Correlation Adaptive Subspace Segmentation by Trace Lasso., 2017-05-24
• Laplacian PCA and Its Applications., 2017-05-24
• Determining step sizes in geometric optimization algorithms., 2017-05-24
• Correntropy Induced L2 Graph for Robust Subspace Clustering., 2017-05-24
• Contextual Distance for Data Perception., 2017-05-24
• Tree Structure Based Analyses on Compressive Sensing for Binary Sparse Sources., 2017-05-23
• Analysis on Rate-Distortion Performance of Compressive Sensing for Binary Sparse Source., 2017-05-23
• Refined Exponential Filter with Applications to Image Restoration and Interpolation., 2017-05-21
• Lorentzian Discriminant Projection and Its Applications., 2017-05-21
• Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction., 2017-05-20
• A robust hybrid method for text detection in natural scenes by learning-based partial differential equations., 2017-05-20
• Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition., 2017-05-20
• Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning., 2017-05-20
• A fast alternating time-splitting approach for learning partial differential equations., 2017-05-20
• Bases sorting: Generalizing the concept of frequency for over-complete dictionaries., 2017-05-20
• A comparison of typical ℓp minimization algorithms., 2017-05-20
• Learning PDEs for Image Restoration via Optimal Control., 2017-05-19
• Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks., 2017-05-19
• An Anisotropic Diffusion PDE for Noise Reduction and Thin Edge Preservation., 2017-05-19
• Optimal Polynomial Filters., 2017-05-18
• Prefiltering Two-Dimensional Polygons without Clipping., 2017-05-18
• Response to the Comments on "Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation'., 2017-05-17
• A Unified Convex Surrogate for the Schatten-p Norm., 2017-03-06
• Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization., 2017-03-06
• Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization., 2016-04-21
• Generalized Singular Value Thresholding., 2015-04-12
• Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization., 2014-07-31
• Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation., 2011-10-26