Hongchuan Yu

According to our database1, Hongchuan Yu authored at least 36 papers between 2001 and 2020.

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



In proceedings 
PhD thesis 


On csauthors.net:


Efficient Implementation of Truncated Reweighting Low-Rank Matrix Approximation.
IEEE Trans. Ind. Informatics, 2020

PCA-Based Robust Motion Data Recovery.
IEEE Access, 2020

Towards Adversarial Robustness via Feature Matching.
IEEE Access, 2020

High Relief from Brush Painting.
IEEE Trans. Vis. Comput. Graph., 2019

Context-Aware Semantic Inpainting.
IEEE Trans. Cybern., 2019

Perceptual Adversarial Networks With a Feature Pyramid for Image Translation.
IEEE Computer Graphics and Applications, 2019

Diverse Non-Negative Matrix Factorization for Multiview Data Representation.
IEEE Trans. Cybern., 2018

Kernel group sparse representation classifier via structural and non-convex constraints.
Neurocomputing, 2018

Motion Style Extraction Based on Sparse Coding Decomposition.
CoRR, 2018

Iterative Reconstrained Low-Rank Representation via Weighted Nonconvex Regularizer.
IEEE Access, 2018

An Efficient Truncated Nuclear Norm Constrained Matrix Completion For Image Inpainting.
Proceedings of Computer Graphics International 2018, 2018

Constrained Low-Rank Representation for Robust Subspace Clustering.
IEEE Trans. Cybern., 2017

A fast propagation scheme for approximate geodesic paths.
Graph. Model., 2017

Fast and Memory-Efficient Voronoi Diagram Construction on Triangle Meshes.
Comput. Graph. Forum, 2017

Robust nonnegative matrix factorization with ordered structure constraints.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi-Component Nonnegative Matrix Factorization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Fast and exact discrete geodesic computation based on triangle-oriented wavefront propagation.
ACM Trans. Graph., 2016

Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Eigenspace-based surface completeness.
J. Electronic Imaging, 2015

Foldover-free shape deformation for biomedicine.
J. Biomed. Informatics, 2014

Mean value coordinates-based caricature and expression synthesis.
Signal Image Video Process., 2013

Constrained parameterization with applications to graphics and image processing.
PhD thesis, 2012

Topology preserved shape deformation.
Vis. Comput., 2012

An RBF-Based Reparameterization Method for Constrained Texture Mapping.
IEEE Trans. Vis. Comput. Graph., 2012

Apply GPCA to Motion Segmentation.
Proceedings of the Intelligent Video Event Analysis and Understanding, 2011

Apply GPCA to Motion Segmentation.
J. Intell. Learn. Syst. Appl., 2011

Tensor-Based Feature Representation with Application to Multimodal Face Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2011

An extension of min/max flow framework.
Image Vis. Comput., 2009

Complete invariants for robust face recognition.
Pattern Recognit., 2007

GVF-based anisotropic diffusion models.
IEEE Trans. Image Process., 2006

1D-PCA, 2D-PCA to nD-PCA.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Two Novel Complete Sets of Similarity Invariants.
Proceedings of the Advances in Visual Computing, First International Symposium, 2005

Complete invariant description under usual Fourier-Mellin transform.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

A Phase Correlation Approach to Active Vision.
Proceedings of the Computer Analysis of Images and Patterns, 11th International Conference, 2005

Image Anisotropic Diffusion Based on Gradient Vector Flow Fields.
Proceedings of the Computer Vision, 2004

Level Set Methods and Image Segmentation.
Proceedings of the Medical Imaging and Augmented Reality: First International Workshop, 2001