Tao Wu

Affiliations:

TU Munich, Department of Computer Science, Germany
Humboldt University of Berlin, Department of Mathematics, Germany
Karl Franzens University of Graz, Institute for Mathematics and Scientific Computing, Austria

According to our database¹, Tao Wu authored at least 18 papers between 2011 and 2020.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2020

Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Distributed Photometric Bundle Adjustment.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Informative GANs via Structured Regularization of Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2019

Probabilistic Discriminative Learning with Layered Graphical Models.

[BibT_eX]

[DOI]

CoRR, 2019

Variational Uncalibrated Photometric Stereo Under General Lighting.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Optimization of Inf-Convolution Regularized Nonconvex Composite Problems.

[BibT_eX]

[DOI]

Emanuel Laude

Tao Wu

Daniel Cremers

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2018

Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform.

[BibT_eX]

[DOI]

CoRR, 2018

Combinatorial Preconditioners for Proximal Algorithms on Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization.

[BibT_eX]

[DOI]

Emanuel Laude

Tao Wu

Daniel Cremers

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2017

Semi-calibrated Near-Light Photometric Stereo.

[BibT_eX]

[DOI]

Yvain Quéau

Tao Wu

Daniel Cremers

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Limiting Aspects of Nonconvex TVφ Models.

[BibT_eX]

[DOI]

Michael Hintermüller

Tuomo Valkonen

Tao Wu

SIAM J. Imaging Sci., 2015

Robust Principal Component Pursuit via Inexact Alternating Minimization on Matrix Manifolds.

[BibT_eX]

[DOI]

Michael Hintermüller

Tao Wu

J. Math. Imaging Vis., 2015

2014

A superlinearly convergent R-regularized Newton scheme for variational models with concave sparsity-promoting priors.

[BibT_eX]

[DOI]

Michael Hintermüller

Tao Wu

Comput. Optim. Appl., 2014

2013

Nonconvex TVq-Models in Image Restoration: Analysis and a Trust-Region Regularization-Based Superlinearly Convergent Solver.

[BibT_eX]

[DOI]

Michael Hintermüller

Tao Wu

SIAM J. Imaging Sci., 2013

2011

A Smoothing Descent Method for Nonconvex TV $$^q$$ -Models.

[BibT_eX]

[DOI]

Michael Hintermüller

Tao Wu

Proceedings of the Efficient Algorithms for Global Optimization Methods in Computer Vision, 2011

Tao Wu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...