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spezial:bib [2020/07/21 02:51] Rui Wang |
spezial:bib [2020/08/03 11:27] Prof. Dr. Daniel Cremers |
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topic = {3D Reconstruction}, | topic = {3D Reconstruction}, | ||
} | } | ||
+ | |||
+ | @article{KuschkdGRC17, | ||
+ | author | ||
+ | Pablo d' | ||
+ | David Gaudrie and | ||
+ | Peter Reinartz and | ||
+ | | ||
+ | title = {Spatially Regularized Fusion of Multiresolution Digital Surface Models}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {1477--1488}, | ||
+ | year = {2017}, | ||
+ | } | ||
+ | |||
+ | @article{CremersLV17, | ||
+ | author | ||
+ | Laura Leal{-}Taix{\' | ||
+ | | ||
+ | title = {Deep Learning for Computer Vision (Dagstuhl Seminar 17391)}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {109--125}, | ||
+ | year = {2017}, | ||
+ | } | ||
+ | |||
+ | @incollection{Cremers15, | ||
+ | author | ||
+ | editor | ||
+ | title = {Image Segmentation with Shape Priors: Explicit Versus Implicit Representations}, | ||
+ | booktitle = {Handbook of Mathematical Methods in Imaging}, | ||
+ | pages = {1909--1944}, | ||
+ | publisher = {Springer}, | ||
+ | year = {2015}, | ||
+ | } | ||
+ | |||
@article{rodola-ijcv12-1, | @article{rodola-ijcv12-1, | ||
Line 472: | Line 509: | ||
journal = ijcv, | journal = ijcv, | ||
issuetitle = {{Special Issue on Graphical Models for Scene Understanding}}, | issuetitle = {{Special Issue on Graphical Models for Scene Understanding}}, | ||
- | year = {2015}, | + | |
+ | number | ||
+ | pages = {199--225}, | ||
+ | | ||
publisher = {Springer US}, | publisher = {Springer US}, | ||
issn = {0920-5691}, | issn = {0920-5691}, | ||
Line 3468: | Line 3508: | ||
} | } | ||
+ | |||
+ | @article{DBLP: | ||
+ | author | ||
+ | Sergi Caelles and | ||
+ | Yuhua Chen and | ||
+ | Jordi Pont{-}Tuset and | ||
+ | Laura Leal{-}Taix{\' | ||
+ | | ||
+ | Luc Van Gool}, | ||
+ | title = {Video Object Segmentation without Temporal Information}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {1515--1530}, | ||
+ | year = {2019}, | ||
+ | url = {https:// | ||
+ | doi = {10.1109/ | ||
+ | timestamp = {Sat, 30 May 2020 01:00:00 +0200}, | ||
+ | biburl | ||
+ | bibsource = {dblp computer science bibliography, | ||
+ | } | ||
@INPROCEEDINGS{GM04: | @INPROCEEDINGS{GM04: | ||
Line 4766: | Line 4827: | ||
Number = {1}, | Number = {1}, | ||
Title = {Car detection by fusion of HOG and causal MRF}, | Title = {Car detection by fusion of HOG and causal MRF}, | ||
- | Volume | + | volume |
+ | number | ||
+ | pages = {575--590}, | ||
Year = {2015}, | Year = {2015}, | ||
- | pages = " | ||
} | } | ||
Line 5716: | Line 5778: | ||
year = {2008}, | year = {2008}, | ||
month | month | ||
+ | } | ||
+ | |||
+ | @article{DuranMSC16, | ||
+ | author | ||
+ | | ||
+ | | ||
+ | | ||
+ | title = {On the Implementation of Collaborative {TV} Regularization: | ||
+ | to Cartoon+Texture Decomposition}, | ||
+ | journal | ||
+ | volume | ||
+ | pages = {27--74}, | ||
+ | year = {2016}, | ||
+ | } | ||
+ | |||
+ | @article{DuranMSC16, | ||
+ | author | ||
+ | | ||
+ | | ||
+ | | ||
+ | title = {Collaborative Total Variation: {A} General Framework for Vectorial | ||
+ | {TV} Models}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {116--151}, | ||
+ | year = {2016}, | ||
+ | } | ||
+ | |||
+ | @article{BurgerGMEC16, | ||
+ | author | ||
+ | Guy Gilboa and | ||
+ | | ||
+ | Lina Eckardt and | ||
+ | | ||
+ | title = {Spectral Decompositions Using One-Homogeneous Functionals}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {1374--1408}, | ||
+ | year = {2016}, | ||
} | } | ||
Line 5832: | Line 5935: | ||
titleurl = {kee-cvpr14.pdf}, | titleurl = {kee-cvpr14.pdf}, | ||
topic = {Image Segmentation, | topic = {Image Segmentation, | ||
+ | } | ||
+ | |||
+ | @article{KeeLSCK17, | ||
+ | author | ||
+ | | ||
+ | | ||
+ | | ||
+ | Junmo Kim}, | ||
+ | title = {Sequential Convex Programming for Computing Information-Theoretic | ||
+ | | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {1845--1877}, | ||
+ | year = {2017}, | ||
} | } | ||
Line 7120: | Line 7238: | ||
keywords = {convex relaxation, | keywords = {convex relaxation, | ||
} | } | ||
+ | |||
+ | @article{KeeLYCK15, | ||
+ | author | ||
+ | | ||
+ | Junho Yim and | ||
+ | | ||
+ | Junmo Kim}, | ||
+ | title = {Entropy Minimization for Groupwise Planar Shape Co-alignment and its | ||
+ | | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {1922--1926}, | ||
+ | year = {2015}, | ||
+ | } | ||
+ | |||
@inproceedings{stark-gcpr15, | @inproceedings{stark-gcpr15, | ||
author = {F. Stark and C. Hazirbas and R. Triebel and D. Cremers}, | author = {F. Stark and C. Hazirbas and R. Triebel and D. Cremers}, | ||
Line 7243: | Line 7377: | ||
author = {E. Rodola and L. Cosmo and M. M. Bronstein and A. Torsello and D. Cremers}, | author = {E. Rodola and L. Cosmo and M. M. Bronstein and A. Torsello and D. Cremers}, | ||
title = {Partial Functional Correspondence}, | title = {Partial Functional Correspondence}, | ||
- | year = {2016}, | + | |
+ | number | ||
+ | pages = {222--236}, | ||
+ | | ||
journal = {Computer Graphics Forum}, | journal = {Computer Graphics Forum}, | ||
publisher = {Wiley}, | publisher = {Wiley}, | ||
Line 7253: | Line 7390: | ||
author = {L. Cosmo and E. Rodola and A. Albarelli and F. Memoli and D. Cremers}, | author = {L. Cosmo and E. Rodola and A. Albarelli and F. Memoli and D. Cremers}, | ||
title = {Consistent Partial Matching of Shape Collections via Sparse Modeling}, | title = {Consistent Partial Matching of Shape Collections via Sparse Modeling}, | ||
- | year = {2016}, | + | year = {2017}, |
+ | volume | ||
+ | number | ||
+ | pages = {209--221}, | ||
journal = {Computer Graphics Forum}, | journal = {Computer Graphics Forum}, | ||
publisher = {Wiley}, | publisher = {Wiley}, | ||
Line 7268: | Line 7408: | ||
volume = {35}, | volume = {35}, | ||
number = {2}, | number = {2}, | ||
+ | pages = {431--441}, | ||
topic = {Shape Analysis, Shape Matching}, | topic = {Shape Analysis, Shape Matching}, | ||
} | } | ||
- | |||
- | | ||
- | | ||
@InProceedings{sceneflownet-arxiv, | @InProceedings{sceneflownet-arxiv, | ||
Line 7451: | Line 7589: | ||
volume = {35}, | volume = {35}, | ||
number = {5}, | number = {5}, | ||
+ | pages = {135--143}, | ||
award = {Received the Best Paper Award at SGP 2016}, | award = {Received the Best Paper Award at SGP 2016}, | ||
year = {2016}, | year = {2016}, | ||
Line 8039: | Line 8178: | ||
- | @article{laude2019jota, | + | @article{laude2020jota, |
title = {Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity}, | title = {Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity}, | ||
| | ||
| | ||
- | note="to appear" | + | volume={184}, |
- | year = {2019}, | + | |
+ | | ||
+ | year = {2020}, | ||
eprint = {1907.04306}, | eprint = {1907.04306}, | ||
eprinttype = {arXiv}, | eprinttype = {arXiv}, | ||
Line 8065: | Line 8206: | ||
}, | }, | ||
keywords={rgb-d, | keywords={rgb-d, | ||
+ | } | ||
+ | |||
+ | @article{MoellerBSC15, | ||
+ | author | ||
+ | | ||
+ | | ||
+ | | ||
+ | title = {Variational Depth From Focus Reconstruction}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {5369--5378}, | ||
+ | year = {2015}, | ||
} | } | ||
Line 8178: | Line 8332: | ||
note = {{<a href=" | note = {{<a href=" | ||
doi = {10.1007/ | doi = {10.1007/ | ||
+ | } | ||
+ | |||
+ | @article{RodolaMC17, | ||
+ | author | ||
+ | | ||
+ | | ||
+ | title = {Regularized Pointwise Map Recovery from Functional Correspondence}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {700--711}, | ||
+ | year = {2017}, | ||
+ | } | ||
+ | |||
+ | @article{Cremers17, | ||
+ | author | ||
+ | title = {Computer Vision f{\" | ||
+ | | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {205--209}, | ||
+ | year = {2017}, | ||
+ | } | ||
+ | |||
+ | @article{BringmannCKM18, | ||
+ | author | ||
+ | | ||
+ | Felix Krahmer and | ||
+ | | ||
+ | title = {The homotopy method revisited: Computing solution paths of L1-regularized | ||
+ | | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {2343--2364}, | ||
+ | year = {2018}, | ||
} | } | ||
Line 8184: | Line 8375: | ||
title = {{Variational Reflectance Estimation from Multi-view Images}}, | title = {{Variational Reflectance Estimation from Multi-view Images}}, | ||
doi = {10.1007/ | doi = {10.1007/ | ||
+ | volume | ||
+ | number | ||
+ | pages = {1527--1546}, | ||
year = " | year = " | ||
| | ||
Line 8335: | Line 8529: | ||
} | } | ||
- | + | @article{mayer18synthetic, | |
- | + | ||
- | + | ||
- | + | ||
- | + | ||
- | + | ||
- | + | ||
- | @InProceedings{mayer18synthetic, | + | |
author = {Nikolaus Mayer and Eddy Ilg and Philipp Fischer and Caner Hazirbas and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, | author = {Nikolaus Mayer and Eddy Ilg and Philipp Fischer and Caner Hazirbas and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, | ||
title = {What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? | title = {What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? | ||
booktitle= ijcv, | booktitle= ijcv, | ||
- | year = {2018}, | + | |
+ | number | ||
+ | pages = {1797--1812}, | ||
+ | year = {2019}, | ||
+ | year = {2018}, | ||
month = {September}, | month = {September}, | ||
eprint = {arXiv: | eprint = {arXiv: | ||
Line 8478: | Line 8669: | ||
} | } | ||
- | @InProceedings{eisenberger2019divfree, | + | @article{eisenberger2019divfree, |
author = "M. Eisenberger and Z. L\" | author = "M. Eisenberger and Z. L\" | ||
title = " | title = " | ||
booktitle = " | booktitle = " | ||
- | arXiv = " arXiv: | ||
year = " | year = " | ||
+ | volume={38}, | ||
+ | number={5}, | ||
+ | pages={1-12}, | ||
month = " | month = " | ||
note = {{<a href=" | note = {{<a href=" | ||
Line 8609: | Line 8802: | ||
} | } | ||
- | @article{tjaden2018region, | + | @article{tjaden2019region, |
title={A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking}, | title={A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking}, | ||
author={Tjaden, | author={Tjaden, | ||
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, | journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, | ||
- | year={2018}, | + | |
+ | number | ||
+ | pages = {1797--1812}, | ||
+ | | ||
titleurl = {tjaden_et_al_pami18.pdf} | titleurl = {tjaden_et_al_pami18.pdf} | ||
} | } | ||
Line 8773: | Line 8969: | ||
note = {{<a href=" | note = {{<a href=" | ||
keywords = {gn-net} | keywords = {gn-net} | ||
+ | } | ||
+ | |||
+ | @article{primitect-2020, | ||
+ | author = " | ||
+ | title = "From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized | ||
+ | 3D Point Clouds", | ||
+ | journal = {IEEE Robotics and Automation Letters (RA-L) & International Conference on Robotics and Automation (ICRA)}, | ||
+ | year = " | ||
+ | volume={5}, | ||
+ | number={2}, | ||
+ | pages={1764-1771}, | ||
} | } | ||