Tao Wu

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 18

Top Topics

Wavelet Transform

Photometric Stereo

Total Variation

Alternating Minimization

Top Venues

J. Math. Imaging Vis.

SIAM J. Imaging Sci.

Publications

Zhenzhang Ye, Thomas Möllenhoff, Tao Wu, Daniel Cremers
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning. CoRR (2020)
Zhenzhang Ye, Thomas Möllenhoff, Tao Wu, Daniel Cremers
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning. AISTATS (2020)
Nikolaus Demmel, Maolin Gao, Emanuel Laude, Tao Wu, Daniel Cremers
Distributed Photometric Bundle Adjustment. 3DV (2020)
Pierre Bréchet, Tao Wu, Thomas Möllenhoff, Daniel Cremers
Informative GANs via Structured Regularization of Optimal Transport. CoRR (2019)
Bjoern Haefner, Zhenzhang Ye, Maolin Gao, Tao Wu, Yvain Quéau, Daniel Cremers
Variational Uncalibrated Photometric Stereo under General Lighting. CoRR (2019)
Yuesong Shen, Tao Wu, Csaba Domokos, Daniel Cremers
Probabilistic Discriminative Learning with Layered Graphical Models. CoRR (2019)
Emanuel Laude, Tao Wu, Daniel Cremers
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. CoRR (2019)
Zhenzhang Ye, Bjoern Haefner, Maolin Gao, Tao Wu, Yvain Quéau, Daniel Cremers
Variational Uncalibrated Photometric Stereo Under General Lighting. ICCV (2019)
Emanuel Laude, Tao Wu, Daniel Cremers
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. AISTATS (2019)
Thomas Möllenhoff, Zhenzhang Ye, Tao Wu, Daniel Cremers
Combinatorial Preconditioners for Proximal Algorithms on Graphs. AISTATS (2018)
Yvain Quéau, Bastien Durix, Tao Wu, Daniel Cremers, François Lauze, Jean-Denis Durou
LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution. J. Math. Imaging Vis. 60 (3) (2018)
Lingni Ma, Jörg Stückler, Tao Wu, Daniel Cremers
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform. CoRR (2018)
Thomas Möllenhoff, Zhenzhang Ye, Tao Wu, Daniel Cremers
Combinatorial Preconditioners for Proximal Algorithms on Graphs. CoRR (2018)
Emanuel Laude, Tao Wu, Daniel Cremers
A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization. AISTATS (2018)
Yvain Quéau, Tao Wu, François Lauze, Jean-Denis Durou, Daniel Cremers
A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting. CVPR (2017)
Yvain Quéau, Tao Wu, Daniel Cremers
Semi-calibrated Near-Light Photometric Stereo. SSVM (2017)
Yvain Quéau, Bastien Durix, Tao Wu, Daniel Cremers, François Lauze, Jean-Denis Durou
LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution. CoRR (2017)
Michael Hintermüller, Carlos N. Rautenberg, Tao Wu, Andreas Langer
Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests. J. Math. Imaging Vis. 59 (3) (2017)
Michael Hintermüller, Tuomo Valkonen, Tao Wu
Models. SIAM J. Imaging Sci. 8 (4) (2015)
Michael Hintermüller, Tao Wu
Robust Principal Component Pursuit via Inexact Alternating Minimization on Matrix Manifolds. J. Math. Imaging Vis. 51 (3) (2015)
Michael Hintermüller, Tao Wu
-regularized Newton scheme for variational models with concave sparsity-promoting priors. Comput. Optim. Appl. 57 (1) (2014)
Michael Hintermüller, Tao Wu
-Models in Image Restoration: Analysis and a Trust-Region Regularization-Based Superlinearly Convergent Solver. SIAM J. Imaging Sci. 6 (3) (2013)
Michael Hintermüller, Tao Wu
A Smoothing Descent Method for Nonconvex TV $$^q$$ -Models. Efficient Algorithms for Global Optimization Methods in Computer Vision (2011)