Tao Wu
Title
Cited by
Cited by
Year
Nonconvex TV^q-Models in Image Restoration: Analysis and a Trust-Region Regularization--Based Superlinearly Convergent Solver
M Hintermüller, T Wu
SIAM Journal on Imaging Sciences 6 (3), 1385-1415, 2013
812013
LED-based photometric stereo: Modeling, calibration and numerical solution
Y Quéau, B Durix, T Wu, D Cremers, F Lauze, JD Durou
Journal of Mathematical Imaging and Vision 60 (3), 313-340, 2018
392018
A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting
Y Queau, T Wu, F Lauze, JD Durou, D Cremers
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 99-108, 2017
382017
Optimal selection of the regularization function in a weighted total variation model. Part II: Algorithm, its analysis and numerical tests
M Hintermüller, CN Rautenberg, T Wu, A Langer
Journal of Mathematical Imaging and Vision 59 (3), 515-533, 2017
372017
Bilevel Optimization for Calibrating Point Spread Functions in Blind Deconvolution
M Hintermüller, T Wu
Inverse Problems and Imaging 9 (4), 1139 - 1169, 2015
212015
Semi-Calibrated Near-Light Photometric Stereo
Y Quéau, T Wu, D Cremers
International Conference on Scale Space and Variational Methods in Computer …, 2017
172017
Robust Principal Component Pursuit via Inexact Alternating Minimization on Matrix Manifolds
M Hintermüller, T Wu
Journal of Mathematical Imaging and Vision 51 (3), 361-377, 2015
172015
A superlinearly convergent R-regularized Newton scheme for variational models with concave sparsity-promoting priors
M Hintermüller, T Wu
Computational Optimization and Applications 57 (1), 1-25, 2014
162014
Limiting Aspects of Nonconvex TV^ϕ Models
M Hintermüller, T Valkonen, T Wu
SIAM Journal on Imaging Sciences 8 (4), 2581-2621, 2015
102015
A Smoothing Descent Method for Nonconvex TV^q-Models
M Hintermüller, T Wu
Efficient Algorithms for Global Optimization Methods in Computer Vision, 119-133, 2014
102014
Variational Uncalibrated Photometric Stereo under General Lighting
B Haefner, Z Ye, M Gao, T Wu, Y Quéau, D Cremers
IEEE International Conference on Computer Vision (ICCV), 8539-8548, 2019
82019
Variational uncalibrated photometric stereo under general lighting
B Haefner, Z Ye, M Gao, T Wu, Y Quéau, D Cremers
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
82019
Memory-reduction method for pricing American-style options under exponential Lévy processes
RH Chan, T Wu
East Asian Journal on Applied Mathematics 1 (1), 20-34, 2011
82011
Combinatorial Preconditioners for Proximal Algorithms on Graphs
T Möllenhoff, Z Ye, T Wu, D Cremers
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018
62018
A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization
E Laude, T Wu, D Cremers
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018
62018
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform
L Ma, J Stückler, T Wu, D Cremers
arXiv preprint arXiv:1808.01834, 2018
42018
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems
E Laude, T Wu, D Cremers
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019
32019
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
Z Ye, T Möllenhoff, T Wu, D Cremers
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
12020
Probabilistic Discriminative Learning with Layered Graphical Models
Y Shen, T Wu, C Domokos, D Cremers
arXiv preprint arXiv:1902.00057, 2019
12019
Adaptive Regularization for Image Reconstruction from Subsampled Data
M Hintermüller, A Langer, CN Rautenberg, T Wu
International Conference on Imaging, Vision and Learning based on …, 2016
12016
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Articles 1–20