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Computer Vision & Artificial Intelligence
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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Research

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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 (Y. Quéau, B. Durix, T. Wu, D. Cremers, F. Lauze and J.-D. Durou), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes]) [bibtex] [doi] [pdf]
Conference and Workshop Papers
2020
[]Distributed Photometric Bundle Adjustment (N Demmel, M Gao, E Laude, T Wu and D Cremers), In International Conference on 3D Vision (3DV), 2020. ([project page][code]) [bibtex] [pdf]Oral Presentation
[]Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning (Z. Ye, T. Möllenhoff, T. Wu and D. Cremers), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2020. ([code]) [bibtex] [pdf]
2019
[]Informative GANs via Structured Regularization of Optimal Transport (P. Bréchet, T. Wu, T. Möllenhoff and D. Cremers), In NeurIPS Workshop on Optimal Transport and Machine Learning, 2019.  [bibtex] [arXiv:1912.02160]
[]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]
[]Variational Uncalibrated Photometric Stereo under General Lighting (B. Haefner, Z. Ye, M. Gao, T. Wu, Y. Quéau and D. Cremers), In IEEE/CVF International Conference on Computer Vision (ICCV), 2019. ([supp] [poster] [matlab] [python] [cvf]) [bibtex] [doi] [arXiv:1904.03942] [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 (Y. Quéau, T. Wu, F. Lauze, J.-D. Durou and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([codes]) [bibtex] [pdf]
[]Semi-Calibrated Near-Light Photometric Stereo (Y. Quéau, T. Wu and D. Cremers), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017. ([codes]) [bibtex] [pdf]
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group