Zhouchen Lin

According to our database1, Zhouchen Lin authored at least 218 papers between 1999 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to low-rank data modeling and image processing".

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Homepages:

On csauthors.net:

Bibliography

2020
Neural Multimodal Cooperative Learning Toward Micro-Video Understanding.
IEEE Trans. Image Process., 2020

Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Provable accelerated gradient method for nonconvex low rank optimization.
Mach. Learn., 2020

On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent.
J. Mach. Learn. Res., 2020

PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions.
CoRR, 2020

Improving Semantic Segmentation via Decoupled Body and Edge Supervision.
CoRR, 2020

Maximum-and-Concatenation Networks.
CoRR, 2020

Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data.
CoRR, 2020

Invertible Image Rescaling.
CoRR, 2020

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation.
CoRR, 2020

Revisiting EXTRA for Smooth Distributed Optimization.
CoRR, 2020

Spatial Pyramid Based Graph Reasoning for Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Accelerated Optimization for Machine Learning - First-Order Algorithms
Springer, ISBN: 978-981-15-2909-2, 2020

2019
ℓ<sub>1</sub>-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.
IEEE Trans. Neural Networks Learn. Syst., 2019

The Augmented Homogeneous Coordinates Matrix-Based Projective Mismatch Removal for Partial-Duplicate Image Search.
IEEE Trans. Image Process., 2019

Essential Tensor Learning for Multi-View Spectral Clustering.
IEEE Trans. Image Process., 2019

Subspace Clustering Under Complex Noise.
IEEE Trans. Circuits Syst. Video Techn., 2019

Robust 3D Human Pose Estimation from Single Images or Video Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Subspace Clustering by Block Diagonal Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition.
Neural Networks, 2019

Accelerated Alternating Direction Method of Multipliers: An Optimal O(1 / K) Nonergodic Analysis.
J. Sci. Comput., 2019

Two-weight and three-weight linear codes based on Weil sums.
Finite Fields Their Appl., 2019

Histogram Transform Ensembles for Large-scale Regression.
CoRR, 2019

Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy.
CoRR, 2019

Tensor Q-Rank: A New Data Dependent Tensor Rank.
CoRR, 2019

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models.
CoRR, 2019

Multi-Stage Self-Supervised Learning for Graph Convolutional Networks.
CoRR, 2019

Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN.
CoRR, 2019

Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors.
CoRR, 2019

Virtual Adversarial Training on Graph Convolutional Networks in Node Classification.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Neural Ordinary Differential Equations with Envolutionary Weights.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Differentiable Linearized ADMM.
Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Comprehensive Correlation Mining for Image Clustering.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Expectation-Maximization Attention Networks for Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Supervised Convolutional Subspace Clustering Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Sharp Analysis for Nonconvex SGD Escaping from Saddle Points.
Proceedings of the Conference on Learning Theory, 2019

Lifted Proximal Operator Machines.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Tensor Factorization for Low-Rank Tensor Completion.
IEEE Trans. Image Process., 2018

Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding.
IEEE Trans. Image Process., 2018

Binary Multidimensional Scaling for Hashing.
IEEE Trans. Image Process., 2018

Low-Rank Matrix Recovery Via Robust Outlier Estimation.
IEEE Trans. Image Process., 2018

Optimized projections for compressed sensing via direct mutual coherence minimization.
Signal Process., 2018

On the Applications of Robust PCA in Image and Video Processing.
Proceedings of the IEEE, 2018

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

A Unified Alternating Direction Method of Multipliers by Majorization Minimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Robust Matrix Factorization by Majorization Minimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

t-Schatten-p Norm for Low-Rank Tensor Recovery.
IEEE J. Sel. Top. Signal Process., 2018

Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications.
IEEE J. Sel. Top. Signal Process., 2018

Demosaicking based on channel-correlation adaptive dictionary learning.
J. Electronic Imaging, 2018

Dictionary learning with structured noise.
Neurocomputing, 2018

On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems.
CoRR, 2018

Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm.
CoRR, 2018

Accelerating Asynchronous Algorithms for Convex Optimization by Momentum Compensation.
CoRR, 2018

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Alternating Multi-bit Quantization for Recurrent Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining.
Proceedings of the Computer Vision - ECCV 2018, 2018

Convolutional Neural Networks With Alternately Updated Clique.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Optimization Algorithm Inspired Deep Neural Network Structure Design.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Construction of Incoherent Dictionaries via Direct Babel Function Minimization.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Label Information Guided Graph Construction for Semi-Supervised Learning.
IEEE Trans. Image Process., 2017

Bilevel Model-Based Discriminative Dictionary Learning for Recognition.
IEEE Trans. Image Process., 2017

The Shape Interaction Matrix-Based Affine Invariant Mismatch Removal for Partial-Duplicate Image Search.
IEEE Trans. Image Process., 2017

Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking.
IEEE Trans. Image Process., 2017

Automatic Design of High-Sensitivity Color Filter Arrays With Panchromatic Pixels.
IEEE Trans. Image Process., 2017

Feature learning via partial differential equation with applications to face recognition.
Pattern Recognit., 2017

Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition.
Neurocomputing, 2017

Efficient tree-structured SfM by RANSAC generalized Procrustes analysis.
Comput. Vis. Image Underst., 2017

Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Factorization for projective and metric reconstruction via truncated nuclear norm.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Globally Variance-Constrained Sparse Representation for Rate-Distortion Optimized Image Representation.
Proceedings of the 2017 Data Compression Conference, 2017

Fast Compressive Phase Retrieval under Bounded Noise.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

A Unified Convex Surrogate for the Schatten-<i>p</i> Norm.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Integrated Low-Rank-Based Discriminative Feature Learning for Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2016

Tensor LRR and Sparse Coding-Based Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2016

Completing Low-Rank Matrices With Corrupted Samples From Few Coefficients in General Basis.
IEEE Trans. Inf. Theory, 2016

Convex Sparse Spectral Clustering: Single-View to Multi-View.
IEEE Trans. Image Process., 2016

Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm.
IEEE Trans. Image Process., 2016

Automatic Design of Color Filter Arrays in the Frequency Domain.
IEEE Trans. Image Process., 2016

Transformation invariant subspace clustering.
Pattern Recognit., 2016

Laplacian Regularized Low-Rank Representation and Its Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Fast Multidimensional Ellipsoid-Specific Fitting by Alternating Direction Method of Multipliers.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Penrose high-dynamic-range imaging.
J. Electronic Imaging, 2016

Locality-preserving low-rank representation for graph construction from nonlinear manifolds.
Neurocomputing, 2016

A fast alternating time-splitting approach for learning partial differential equations.
Neurocomputing, 2016

Globally Variance-Constrained Sparse Representation for Image Set Compression.
CoRR, 2016

A Unified Convex Surrogate for the Schatten-$p$ Norm.
CoRR, 2016

Subspace Clustering Based Tag Sharing for Inductive Tag Matrix Refinement with Complex Errors.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Multi-view common space learning for emotion recognition in the wild.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

Robust Kernel Estimation with Outliers Handling for Image Deblurring.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Signature Sample Synthesis.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features.
IEEE Trans. Image Process., 2015

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering.
IEEE Trans. Image Process., 2015

Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification.
IEEE Trans. Image Process., 2015

Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization.
IEEE Trans. Image Process., 2015

Penrose Demosaicking.
IEEE Trans. Image Process., 2015

Robust nuclear norm regularized regression for face recognition with occlusion.
Pattern Recognit., 2015

Relations Among Some Low-Rank Subspace Recovery Models.
Neural Computation, 2015

Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning.
Mach. Learn., 2015

A robust hybrid method for text detection in natural scenes by learning-based partial differential equations.
Neurocomputing, 2015

Learning Deep Convolutional Neural Networks for Places2 Scene Recognition.
CoRR, 2015

Image tag completion and refinement by subspace clustering and matrix completion.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

Accelerated Proximal Gradient Methods for Nonconvex Programming.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Determining step sizes in geometric optimization algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Adaptive Sharing for Image Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multiple Models Fusion for Emotion Recognition in the Wild.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Subspace clustering by Mixture of Gaussian Regression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Generalized Singular Value Thresholding.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Transform invariant text extraction.
Vis. Comput., 2014

L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2014

A Regularized Approach for Geodesic-Based Semisupervised Multimanifold Learning.
IEEE Trans. Image Process., 2014

Learning Markov random walks for robust subspace clustering and estimation.
Neural Networks, 2014

Robust latent low rank representation for subspace clustering.
Neurocomputing, 2014

Linear time Principal Component Pursuit and its extensions using ℓ<sub>1</sub> filtering.
Neurocomputing, 2014

Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features.
CoRR, 2014

Tensor LRR based subspace clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Low Rank Global Geometric Consistency for Partial-Duplicate Image Search.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

L1-norm global geometric consistency for partial-duplicate image retrieval.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Robust Estimation of 3D Human Poses from a Single Image.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Robust Low-Rank Regularized Regression for Face Recognition with Occlusion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Generalized Nonconvex Nonsmooth Low-Rank Minimization.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Adaptive Partial Differential Equation Learning for Visual Saliency Detection.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Smooth Representation Clustering.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Robust Subspace Segmentation with Block-Diagonal Prior.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Fast gradient vector flow computation based on augmented Lagrangian method.
Pattern Recognit. Lett., 2013

Robust Recovery of Subspace Structures by Low-Rank Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Toward designing intelligent PDEs for computer vision: An optimal control approach.
Image Vis. Comput., 2013

Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning.
Neurocomputing, 2013

A comparison of typical ℓ<sub>p</sub> minimization algorithms.
Neurocomputing, 2013

Bases sorting: Generalizing the concept of frequency for over-complete dictionaries.
Neurocomputing, 2013

Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures.
Int. J. Comput. Vis., 2013

A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Rectification of Optical Characters as Transform Invariant Low-Rank Textures.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Correntropy Induced L2 Graph for Robust Subspace Clustering.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Correlation Adaptive Subspace Segmentation by Trace Lasso.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
A new discriminant subspace analysis approach for multi-class problems.
Pattern Recognit., 2012

Geodesic Based Semi-supervised Multi-manifold Feature Extraction.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Non-negative low rank and sparse graph for semi-supervised learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Fixed-rank representation for unsupervised visual learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction.
IEEE Trans. Knowl. Data Eng., 2011

A Generalized Accelerated Proximal Gradient Approach for Total-Variation-Based Image Restoration.
IEEE Trans. Image Process., 2011

A Geometric Method for Optimal Design of Color Filter Arrays.
IEEE Trans. Image Process., 2011

Penrose Pixels for Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

The frequency structure matrix: A representation of color filter arrays.
Int. J. Imaging Syst. Technol., 2011

Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering
CoRR, 2011

Some Software Packages for Partial SVD Computation
CoRR, 2011

Analysis and Improvement of Low Rank Representation for Subspace segmentation
CoRR, 2011

Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors.
IEEE Trans. Neural Networks, 2010

Feature extraction by learning Lorentzian metric tensor and its extensions.
Pattern Recognit., 2010

Unsupervised Object Segmentation with a Hybrid Graph Model (HGM).
IEEE Trans. Pattern Anal. Mach. Intell., 2010

A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms
CoRR, 2010

The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices.
CoRR, 2010

Robust Subspace Segmentation by Low-Rank Representation.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Emotion Recognition from Arbitrary View Facial Images.
Proceedings of the Computer Vision - ECCV 2010, 2010

Learning PDEs for Image Restoration via Optimal Control.
Proceedings of the Computer Vision, 2010

Tree Structure Based Analyses on Compressive Sensing for Binary Sparse Sources.
Proceedings of the 2010 Data Compression Conference (DCC 2010), 2010

The multiscale competitive code via sparse representation for palmprint verification.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Signature Sample Synthesis.
Proceedings of the Encyclopedia of Biometrics, 2009

Kernel Nyström method for light transport.
ACM Trans. Graph., 2009

Radon Representation-Based Feature Descriptor for Texture Classification.
IEEE Trans. Image Process., 2009

Classification via Minimum Incremental Coding Length.
SIAM J. Imaging Sci., 2009

Tensor linear Laplacian discrimination (TLLD) for feature extraction.
Pattern Recognit., 2009

Multi-output regression on the output manifold.
Pattern Recognit., 2009

Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis.
Pattern Recognit., 2009

Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A novel approach to expression recognition from non-frontal face images.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Analysis on Rate-Distortion Performance of Compressive Sensing for Binary Sparse Source.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

Lorentzian Discriminant Projection and Its Applications.
Proceedings of the Computer Vision, 2009

Refined Exponential Filter with Applications to Image Restoration and Interpolation.
Proceedings of the Computer Vision, 2009

2008
Modeling and rendering of heterogeneous translucent materials using the diffusion equation.
ACM Trans. Graph., 2008

Perceptual image preview.
Multimedia Syst., 2008

Limits of Learning-Based Superresolution Algorithms.
Int. J. Comput. Vis., 2008

Classification via semi-Riemannian spaces.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
High Resolution Animated Scenes from Stills.
IEEE Trans. Vis. Comput. Graph., 2007

Style-preserving English handwriting synthesis.
Pattern Recognit., 2007

Classification via Minimum Incremental Coding Length (MICL).
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Laplacian PCA and Its Applications.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Contextual Distance for Data Perception.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Penrose Pixels Super-Resolution in the Detector Layout Domain.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Linear Laplacian Discrimination for Feature Extraction.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Rule-based cleanup of on-line English ink notes.
Pattern Recognit., 2006

Response to the Comments on "Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation'.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Table Detection in Online Ink Notes.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Real-time rendering of realistic rain.
Proceedings of the 33. International Conference on Computer Graphics and Interactive Techniques, 2006

Detecting Doctored JPEG Images Via DCT Coefficient Analysis.
Proceedings of the Computer Vision, 2006

2005
Optimal Polynomial Filters.
J. Graph. Tools, 2005

Prefiltering Two-Dimensional Polygons without Clipping.
J. Graph. Tools, 2005

Detecting Doctored Images Using Camera Response Normality and Consistency.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

A Geometric Analysis of Light Field Rendering.
Int. J. Comput. Vis., 2004

2003
Correction and rectification of light fields.
Comput. Graph., 2003

2002
Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction.
Int. J. Comput. Vis., 2002

2001
On the Fundamental Limits of Reconstruction-Based Super-Resolution Algorithms.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
On the Number of Samples Needed in Light Field Rendering with Constant-Depth Assumption.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
An Anisotropic Diffusion PDE for Noise Reduction and Thin Edge Preservation.
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999


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