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Technical University of Munich

Technical University of Munich

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Home Members Dr. Tao Wu

Dr. Tao Wu

Postdoctoral ResearcherTechnische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17777
Fax: +49-89-289-17757
Office: 02.09.061
Mail: tao.wu@tum.de

Research

Find me on GoogleScholar and ResearchGate.


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Journal Articles
2018
[]Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform (L. Ma,, J. Stueckler, T. Wu and D. Cremers), In , 2018. ([arxiv]) [bibtex]
[]LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution (Quéau, Y., Durix, B., Wu, T., Cremers, D., Lauze, F. and Durou, J.-D.), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes]) [bibtex] [doi] [pdf]
Preprints
2019
[]Variational Uncalibrated Photometric Stereo under General Lighting (Haefner, B., Ye, Z., Gao, M., Wu, T., Quéau, Y. and Cremers, D.), In arXiv preprint arXiv:1904.03942, 2019. ([supp]) [bibtex] [arXiv:1904.03942] [pdf]
Conference and Workshop Papers
2019
[]Optimization of Inf-Convolution Regularized Nonconvex Composite Problems (E. Laude, T. Wu and D. Cremers), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.  [bibtex] [pdf]
2018
[]Combinatorial Preconditioners for Proximal Algorithms on Graphs (T. Möllenhoff, Z. Ye, T. Wu and D. Cremers), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.  [bibtex] [pdf]
[]A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization (E. Laude, T. Wu and D. Cremers), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.  [bibtex] [pdf]
2017
[]A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting (Quéau, Y., Wu, T., Lauze, F., Durou, J.-D. and Cremers, D.), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([codes]) [bibtex] [pdf]
[]Semi-Calibrated Near-Light Photometric Stereo (Quéau, Y., Wu, T. and Cremers, D.), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017. ([codes]) [bibtex] [pdf]
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Teaching

SS19: Probabilistic Graphical Models in Computer Vision (IN2329)
WS18/19: Convex Optimization for Machine Learning and Computer Vision (IN2330)
2018 DTU/DIKU Summer School: Proximal Algorithms in Vision and Learning
SS18: Convex Optimization for Machine Learning and Computer Vision (IN2330)
SS17: Convex Optimization for Machine Learning and Computer Vision (IN2330)

To master students: Welcome to contact me if you are interested in thesis projects related to computational challenges in computer vision and machine learning.

Rechte Seite

Informatik IX
Chair for Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching

info@vision.in.tum.de