- PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
- Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
- AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
- Is Attention Better Than Matrix Decomposition?
- Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding
- PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
- Training Neural Networks by Lifted Proximal Operator Machines
- ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
- Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters
- Improving Semantic Segmentation via Decoupled Body and Edge Supervision
- Invertible Image Rescaling
- Accelerated First-Order Optimization Algorithms for Machine Learning
- Boosted Histogram Transform for Regression
- Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability
- Maximum-and-Concatenation Networks
- PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
- On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent
- Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
- Unified Graph and Low-rank Tensor Learning for Multi-view Clustering
- Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild
- Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
- Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes
- SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
- Accelerated Alternating Direction Method of Multipliers:An Optimal O(1/K) Nonergodic Analysis
- L1-Norm Heteroscedastic Discriminant Analysis under Mixture of Gaussian Distributions
- On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems
- Expectation Maximization Attention Networks for Semantic Segmentation
- ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition
- Lifted Proximal Operator Machines
- Robust 3D Human Pose Estimation from a Single Image or a Video Sequence
- Self-Supervised Convolutional Subspace Clustering Network
- Subspace Clustering by Block Diagonal Representation
- Subspace Clustering under Complex Noise
- The Augmented Homogeneous Coordinates Matrix Based Projective Mismatch Removal for Partial-Duplicate Image Search
- Neural Multimodal Cooperative Learning Towards Micro-video Understanding
- R^2 Net Recurrent and Recursive Network for Sparse View CT Artifacts Removal
- Neural Ordinary Differential Equations with Envolutionary Weights
- Virtual Adversarial Training on Graph ConvolutionalNetworks in Node Classification
- Differentiable Linearized ADMM
- Accelerated Alternating Direction Method of Multipliers: an Optimal O(1/K) Nonergodic Analysis
- Two-weight and three-weight linear codes based on Weil sums
- Deep Comprehensive Correlation Mining for Image Clustering
- Sharp Analysis for Nonconvex SGD Escaping from Saddle Points
- Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
- Recurrent Squeeze-and-Excitation Net for Single Image Deraining
- A Unified Alternating Direction Method of Multipliers by Majorization Minimization
- Alternating Multi-bit Quantization for Recurrent Neural Networks
- Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications
- Binary Multidimensional Scaling for Hashing
- Construction of Incoherent Dictionaries via Direct Babel Function Minimization
- Convolutional Neural Networks with Alternately Updated Clique
- Demosaicking based on Channel-Correlation Adaptive Dictionary Learning
- Dictionary Learning with Structured Noise
- Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
- Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval
- Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution
- Low Rank Matrix Recovery via Robust Outlier Estimation
- Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers
- On the Applications of Robust PCA in Image and Video Processing
- Optimization Algorithm Inspired Deep Neural Network Structure Design
- Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization
- Robust Matrix Factorization by Majorization-Minimization
- SPIDER Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
- t-Schatten- p Norm for Low-Rank Tensor Recovery
- Tensor Factorization for Low-Rank Tensor Completion
- Closed-form Solutions of Some Low-Rank Subspace Recovery Models and Their Applications (in Chinese)
- A Unified Convex Surrogate for the Schatten-p Norm
- Automatic Design of High-Sensitivity Color Filter Arrays with Panchromatic Pixels
- Bilevel Model Based Discriminative Dictionary Learning for Recognition
- Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis
- Efficient Tree-structured SfM by RANSAC Generalized Procrustes Analysis
- Factorization for Projective and Metric Reconstruction via Truncated Nuclear Norm
- Fast Compressive Phase Retrieval under Bounded Noise
- Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers
- Feature Learning via Partial Differential Equation with Applications to Face Recognition
- Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding
- Globally Variance-Constrained Sparse Representation for Rate-Distortion Optimized Image Representation
- Joint Latent Space Learning and Regression for Cross Modal Retrieval
- Label Information Guided Graph Construction for Semi-Supervised Learning
- Locality-constrained Linear Coding Based Bi-layer Model for Multi-view Facial Expression Recognition
- Optimized Color Filter Arrays for Sparse Representation Based Demosaicking
- Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization
- Penrose High Dynamic Range Imaging
- ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery
- The Shape Interaction Matrix-Based Affine Invariant Mismatch Removal for Partial-Duplicate Image Search
- Transformation Invariant Subspace Clustering
- Provable Accelerated Gradient Method for Nonconvex Low Rank Optimization
- Convex Sparse Spectral Clustering: Single-view to Multi-view
- Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting
- Multi-view Common Space Learning for Emotion Recognition in the Wild
- Relaxed Majorization-Minimization for Non-smooth and Non-convex Optimization
- Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
- Robust Kernel Estimation with Outliers Handling for Image Deblurring
- Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors
- Tensor LRR and Sparse Coding Based Subspace Clustering
- Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
- A Review on Low-Rank Models in Signal and Data Analysis
- Automatic Design of Color Filter Arrays in the Frequency Domain
- Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis
- Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm
- Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning
- Low-Rank Models in Signal and Data Processing: Theories, Algorithms, and Applications (in Chinese)
- Locality-Preserving Low-Rank Representation for Graph Construction from Nonlinear Manifolds
- Dual Graph Regularized Latent Low-rank Representation for Subspace Clustering
- A Fast Alternating Time-Splitting Approach for Learning Partial Differential Equations
- Fast Multidimensional Ellipsoid-Specific Fitting by Alternating Direction Method of Multipliers
- Laplacian Regularized Low-Rank Representation and Its Applications
- Accelerated Proximal Gradient Methods for Nonconvex Programming
- Image Tag Completion and Refinement by Subspace Clustering and Matrix Completion
- Multiple Models Fusion for Emotion Recognition in the Wild
- Determining Step Sizes in Geometric Optimization Algorithms
- Integrated Low Rank Based Discriminative Feature Learning for Recognition
- A Robust Hybrid Method for Text Detection in Natural Scenes by Learning-based Partial Differential Equations
- A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm
- Adaptive Sharing for Image Classification
- Subspace Clustering by Mixture of Gaussian Regression
- Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification
- Relations among Some Low Rank Subspace Recovery Models
- Robust Nuclear Norm Regularized Regression for Face Recognition with Occlusion
- Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification
- Penrose Demosaicking
- Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds
- Generalized Singular Value Thresholding
- Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squared Minimization
- Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
- Low Rank Global Geometric Consistency for Partial-Duplicate Image Search
- Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
- Adaptive Partial Differential Equation Learning for Visual Saliency Detection
- Generalized Nonconvex Nonsmooth Low-Rank Minimization
- Robust Estimation of 3D Human Poses from Single Images
- Robust Low-Rank Regularized Regression for Face Recognition with Occlusion
- Smooth Representation Clustering
- Smooth Representation Clustering
- Learning Markov Random Walks for Robust Subspace Clustering and Estimation
- Tensor LRR Based Subspace Clustering
- Robust Latent Low Rank Representation for Subspace Clustering
- A Regularized Approach for Geodesic Based Semi-Supervised Multi-Manifold Learning
- Linear time Principal Component Pursuit and its extensions using l1 Filtering
- Correlation Adaptive Subspace Segmentation by Trace Lasso
- Correntropy Induced L2 Graph for Robust Subspace Clustering
- Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
- Rank Minimization: Theories, Algorithms, and Applications (in Chinese)
- L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction
- A Counterexample for The Validaity of Using Nuclear Norm as A Comvex Surrogate of Rank
- Transform Invariant Text Extraction
- Rectification of Optical Characters as Transform Invariant Low-rank Textures
- Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures
- Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning
- Robust Recovery of Subspace Structures by Low-Rank Representation
- Geodesic based semi-supervised multi-manifold feature extraction
- Perceptual Thumbnail Generation
- A comparison of typical ℓp minimization algorithms
- Bases sorting: Generalizing the concept of frequency for over-complete dictionaries
- Fixed-Rank Representation for Unsupervised Visual Learning
- Non-Negative Low Rank and Sparse Graph for Semi-Supervised Learning
- A new discriminant subspace analysis approach for multi-class problems
- Fast gradient vector flow computation based on augmented Lagrangian method
- Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
- A Generalized Accelerated Proximal Gradient Approach for Total Variation-Based Image Restoration
- Toward designing intelligent PDEs for computer vision An optimal control approach
- Some Software Packages for Partial SVD Computation
- Analysis and Improvement of Low Rank Representation for Subspace segmentation
- Penrose Pixels for Super-Resolution
- Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
- A Geometric Method for Optimal Design of Color Filter Arrays
- The Frequency Structure Matrix: A Representation of Color Filter Arrays
- A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms
- Feature Extraction by Learning Lorentzian Metric Tensor and Its Extensions
- Emotion Recognition from Arbitrary View Facial Images
- Learning PDEs for Image Restoration via Optimal Control
- Robust Subspace Segmentation by Low-Rank Representation
- Unsupervised Object Segmentation with a Hybrid Graph Model
- Aperiodic pixel layout for super-resolution (Invited Paper)
- A Rank-One Update Algorithm for Fast Solving Kernel Foley-Sammon Optimal Discriminant Vectors
- The Multiscale Competitive Code via Sparse Representation for Palmprint Verification
- Tree Structure Based Analyses on Compressive Sensing for Binary Sparse Sources
- Fast Algorithms for Recovering a Corrupted Low-Rank Matrix
- Fast, Automatic and Fine-Grained Tampered JPEG Images Detection via DCT Coefficient Analysis
- Multi-output regression on the output manifold
- The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrix
- Tensor linear Laplacian discrimination (TLLD) for feature extraction
- Designing Partial Differential Equations for Image Processing by Combining Differential Invariants
- Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix
- Learning-Based Image Superresolution Algorithms (in Chinese)
- Signature Sample Synthesis
- Radon Representation-Based Feature Descriptor for Texture Classification
- Classification via Minimum Incremental Coding Length
- A Novel Approach to Expression Recognition from Non-frontal Face Images
- Analysis on Rate-distortion Performance of Compressive Sensing for Binary Sparse Source
- Lorentzian Discriminant Projection and Its Applications
- Optimizing Multi-class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
- Refined Exponential Filter with Applications to Image Restoration and Interpolation
- Learning Partial Differential Equations for Computer Vision
- Perceptual Image Preview
- Limits of Learning-Based Superresolution Algorithms
- Color Filter Arrays: A Design Methodology
- Color Filter Arrays: Representation and Analysis
- Learning Partial Differential Equations for Computer Vision
- One-Shot Approximate Local Shading
- Modeling and Rendering of Heterogeneous Translucent Materials Using the Diffusion Equation
- Classification via Semi-Riemannian Spaces
- Real-Time Rendering of Realistic Rain
- Style-preserving English handwriting synthesis
- High Resolution Animated Scenes from Stills
- A Hybrid Graph Model for Unsupervised Object Segmentation
- Classification via Minimum Incremental Coding Length (MICL)
- Contextual Distance for Data Perception
- Laplacian PCA and Its Applications
- Limits of Learning-Based Superresolution Algorithms
- Linear Laplacian Discrimination for Feature Extraction
- Penrose Pixels: Super-Resolution in the Detector Layout Domain
- Table Detection in Online Ink Notes
- Real-Time Rendering of Realistic Rain
- Rule-based cleanup of on-line English ink notes
- Response to Comments on Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation
- Detecting Doctored JPEG Images via DCT Coefficient Analysis
- First Order Approximation for Texture Filtering
- Real-Time Rendering of Realistic Rain
- Detecting Doctored Images Using Camera Response Normality and Consistency
- On-Line Signature Verification With Two-Stage Statistical Models
- Optimal Polynomial Filters
- Pre-filtering 2D Polygons without Clipping
- A Geometric Analysis of Light Field Rendering
- Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation
- Correction and rectification of light fields
- Off-line Signature Verification Incorporating the Prior Model
- Signature verification using integrated classifiers
- Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction
- Correction and Rectification of Light Fields
- On the Fundamental Limits of Reconstruction-Based Super-resolution Algorithms
- Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction
- On the Number of Samples Needed in Light Field Rendering with Constant-depth Assumption
- An Anisotropic Diffusion PDE for Noise Reduction and Thin Edge Preservation
- Constrained Optimal Control of Continuous Casting
- Numerical Analysis of the Bulging of Continuously Cast Slabs

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