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spezial:bib [2019/03/03 11:05] usenko |
spezial:bib [2019/05/16 17:31] frerix |
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Line 3713: | Line 3713: | ||
year = {2009}, | year = {2009}, | ||
| | ||
+ | | ||
titleurl = {mitzel_et_al_dagm09.pdf} | titleurl = {mitzel_et_al_dagm09.pdf} | ||
} | } | ||
Line 3943: | Line 3944: | ||
address = {Germany}, | address = {Germany}, | ||
month = jul, | month = jul, | ||
+ | keywords = {optical-flow}, | ||
titleurl = {nieuwenhuis_PhDThesis.pdf}, | titleurl = {nieuwenhuis_PhDThesis.pdf}, | ||
} | } | ||
Line 4444: | Line 4446: | ||
pages ={1449--1462}, | pages ={1449--1462}, | ||
topic={optical flow}, | topic={optical flow}, | ||
- | keywords = {optical flow}, | + | keywords = {optical |
titleurl = {kybic_nieuwenhuis.pdf} | titleurl = {kybic_nieuwenhuis.pdf} | ||
} | } | ||
Line 4616: | Line 4618: | ||
booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, | booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, | ||
address = {Prag, Czech Republic}, | address = {Prag, Czech Republic}, | ||
+ | keywords = {optical-flow}, | ||
titleurl = {2011_SKC_ICASSP.pdf} | titleurl = {2011_SKC_ICASSP.pdf} | ||
} | } | ||
Line 4951: | Line 4954: | ||
@incollection{Golkov-et-al-cdmri14, | @incollection{Golkov-et-al-cdmri14, | ||
author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers}, | author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers}, | ||
- | title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate}, | + | title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per {q}-Space Coordinate}, |
booktitle = {Computational Diffusion MRI}, | booktitle = {Computational Diffusion MRI}, | ||
publisher = {Springer}, | publisher = {Springer}, | ||
Line 4961: | Line 4964: | ||
@inproceedings{Golkov-et-al-esmrmb13-comparison, | @inproceedings{Golkov-et-al-esmrmb13-comparison, | ||
author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl}, | author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl}, | ||
- | title = {Effects of Low-Rank Constraints, | + | title = {Effects of Low-Rank Constraints, |
booktitle = esmrmb, | booktitle = esmrmb, | ||
year = 2013, | year = 2013, | ||
Line 5012: | Line 5015: | ||
@inproceedings{Golkov-et-al-ismrm13, | @inproceedings{Golkov-et-al-ismrm13, | ||
author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl}, | author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl}, | ||
- | title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing}, | + | title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with {q}-Space Compressed Sensing}, |
booktitle = ismrm, | booktitle = ismrm, | ||
year = 2013, | year = 2013, | ||
Line 7283: | Line 7286: | ||
url = " | url = " | ||
| | ||
- | keywords = {deeplearning, | + | keywords = {deeplearning, |
} | } | ||
Line 7562: | Line 7565: | ||
titleurl = {2017_ProductManifoldFilter.pdf}, | titleurl = {2017_ProductManifoldFilter.pdf}, | ||
topic = {Shape Analysis, Shape Matching}, | topic = {Shape Analysis, Shape Matching}, | ||
- | note = {{<a href="/ | + | note = {{<a href="/ |
} | } | ||
Line 7570: | Line 7573: | ||
@inproceedings{dzitsiuk2017icra, | @inproceedings{dzitsiuk2017icra, | ||
title={De-noising, | title={De-noising, | ||
- | author={Dzitsiuk, | + | author={M. |
booktitle={International Conference on Robotics and Automation (ICRA)}, | booktitle={International Conference on Robotics and Automation (ICRA)}, | ||
year={2017}, | year={2017}, | ||
Line 7658: | Line 7661: | ||
} | } | ||
- | @inproceedings{Golkov-et-al-arxiv2017-function3d, | + | @article{Golkov-et-al-arxiv2017-function3d, |
author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers}, | author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers}, | ||
title = {3D Deep Learning for Biological Function Prediction from Physical Fields}, | title = {3D Deep Learning for Biological Function Prediction from Physical Fields}, | ||
year = {2017}, | year = {2017}, | ||
- | % howpublished | + | journal |
- | | + | |
- | | + | |
keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning}, | keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning}, | ||
} | } | ||
Line 7789: | Line 7792: | ||
@InProceedings{hazirbas18ddff, | @InProceedings{hazirbas18ddff, | ||
| | ||
- | title = {{<a href=" | + | title = {{Deep Depth From Focus}}, |
year = " | year = " | ||
month = " | month = " | ||
| | ||
- | note = {{<a href=" | + | note = {{<a href=" |
| | ||
} | } | ||
Line 7923: | Line 7926: | ||
@inproceedings{maier2017efficient, | @inproceedings{maier2017efficient, | ||
title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction}, | title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction}, | ||
- | author={Maier, | + | author={R. |
booktitle={British Machine Vision Conference (BMVC)}, | booktitle={British Machine Vision Conference (BMVC)}, | ||
year={2017}, | year={2017}, | ||
Line 7934: | Line 7937: | ||
@inproceedings{golyanik2017multiframe, | @inproceedings{golyanik2017multiframe, | ||
title={Multiframe Scene Flow with Piecewise Rigid Motion}, | title={Multiframe Scene Flow with Piecewise Rigid Motion}, | ||
- | author={Golyanik, | + | author={V. |
booktitle={International Conference on 3D Vision (3DV)}, | booktitle={International Conference on 3D Vision (3DV)}, | ||
year={2017}, | year={2017}, | ||
Line 7945: | Line 7948: | ||
@inproceedings{maier2017intrinsic3d, | @inproceedings{maier2017intrinsic3d, | ||
title={Intrinsic3D: | title={Intrinsic3D: | ||
- | author={Maier, | + | author={R. |
booktitle={International Conference on Computer Vision (ICCV)}, | booktitle={International Conference on Computer Vision (ICCV)}, | ||
year={2017}, | year={2017}, | ||
Line 7952: | Line 7955: | ||
keywords={rgb-d, | keywords={rgb-d, | ||
note = {{<a href="/ | note = {{<a href="/ | ||
+ | } | ||
+ | |||
+ | @article{rodola2018funmaprep, | ||
+ | title = {Functional Maps Representation on Product Manifolds}, | ||
+ | | ||
+ | | ||
+ | | ||
+ | issue = 1, | ||
+ | year = {2019}, | ||
+ | note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href=" | ||
+ | } | ||
+ | |||
+ | @article{Haefner2019A, | ||
+ | title = {Variational Uncalibrated Photometric Stereo under General Lighting}, | ||
+ | author = {Haefner, B. and Ye, Z. and Gao, M. and Wu, T. and Quéau, Y. and Cremers, D.}, | ||
+ | journal = {arXiv preprint arXiv: | ||
+ | eprint = {1904.03942}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | year = {2019}, | ||
+ | titleurl = {haefner2019.pdf}, | ||
+ | note = { | ||
+ | {<a href="/ | ||
+ | }, | ||
+ | keywords={d-reconstruction, | ||
} | } | ||
- | @article{Haefner2018, | + | @article{Haefner2018A, |
title = {Photometric Depth Super-Resolution}, | title = {Photometric Depth Super-Resolution}, | ||
| | ||
Line 7961: | Line 7989: | ||
year = {2018}, | year = {2018}, | ||
| | ||
- | note = {{<a href="/ | + | note = { |
- | {<a href=" | + | {<a href="/ |
+ | {<a href=" | ||
+ | {<a href=" | ||
+ | }, | ||
keywords={rgb-d, | keywords={rgb-d, | ||
- | } | ||
- | |||
- | @article{rodola2018funmaprep, | ||
- | title = {Functional Maps Representation on Product Manifolds}, | ||
- | | ||
- | | ||
- | year = {2019}, | ||
- | note = {{<a href=" | ||
} | } | ||
Line 7982: | Line 8005: | ||
year = {2018}, | year = {2018}, | ||
| | ||
- | note = {{<a href="/ | + | note = { |
- | {<a href=" | + | {<a href="/ |
- | award = {Spotlight Presentation}, | + | {<a href=" |
+ | {<a href=" | ||
+ | {<a href=" | ||
+ | }, | ||
+ | award = {Spotlight Presentation}, | ||
keywords={rgb-d, | keywords={rgb-d, | ||
} | } | ||
Line 7996: | Line 8023: | ||
award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision}, | award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision}, | ||
| | ||
- | note = {{<a href=" | + | note = { |
+ | {<a href=" | ||
+ | {<a href=" | ||
+ | }, | ||
keywords={rgb-d, | keywords={rgb-d, | ||
} | } | ||
Line 8110: | Line 8140: | ||
note = {{This paper was also selected by ICRA' | note = {{This paper was also selected by ICRA' | ||
award = {ICRA' | award = {ICRA' | ||
+ | } | ||
+ | |||
+ | @InProceedings{laude-et-al-transductive, | ||
+ | author = "E. Laude and J.-H. Lange and J. Sch{\" | ||
+ | title = " | ||
+ | booktitle=cvpr, | ||
+ | year = " | ||
+ | titleurl = {laude-2018-discrete-continuous.pdf} | ||
} | } | ||
Line 8137: | Line 8175: | ||
} | } | ||
- | @inproceedings{Kukacka-et-al-2017, | + | @article{Kukacka-et-al-2017, |
author = {J. Kukačka and V. Golkov and D. Cremers}, | author = {J. Kukačka and V. Golkov and D. Cremers}, | ||
title = {Regularization for Deep Learning: A Taxonomy}, | title = {Regularization for Deep Learning: A Taxonomy}, | ||
year = {2017}, | year = {2017}, | ||
- | % howpublished | + | journal |
- | | + | |
- | | + | |
keywords = {deep learning, neural networks, regularization, | keywords = {deep learning, neural networks, regularization, | ||
} | } | ||
Line 8182: | Line 8220: | ||
} | } | ||
- | @inproceedings{Aljalbout-et-al-2018, | + | @article{Aljalbout-et-al-2018, |
- | author = {E. Aljalbout and V. Golkov and Y. Siddiqui and D. Cremers}, | + | author = {E. Aljalbout and V. Golkov and Y. Siddiqui |
title = {Clustering with Deep Learning: Taxonomy and New Methods}, | title = {Clustering with Deep Learning: Taxonomy and New Methods}, | ||
year = {2018}, | year = {2018}, | ||
- | % howpublished | + | journal |
- | | + | |
- | | + | |
keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning}, | keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning}, | ||
} | } | ||
Line 8217: | Line 8255: | ||
eprint = {arXiv: | eprint = {arXiv: | ||
note = {{<a href=" | note = {{<a href=" | ||
- | keywords = {deeplearning} | + | keywords = {deeplearning, optical-flow} |
} | } | ||
Line 8275: | Line 8313: | ||
} | } | ||
- | @InProceedings{laude-et-al-transductive, | + | |
- | author = "E. Laude and J.-H. Lange and J. Sch{\" | + | |
- | title = " | + | |
- | booktitle=cvpr, | + | |
- | year = " | + | |
- | titleurl = {laude-2018-discrete-continuous.pdf} | + | |
- | } | + | |
@InProceedings{ | @InProceedings{ | ||
author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel", | author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel", | ||
Line 8331: | Line 8363: | ||
} | } | ||
- | @inproceedings{Vasilev-et-al-2018, | + | @article{Vasilev-et-al-2018, |
author = {A. Vasilev and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers}, | author = {A. Vasilev and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers}, | ||
title = {{q}-{S}pace Novelty Detection with Variational Autoencoders}, | title = {{q}-{S}pace Novelty Detection with Variational Autoencoders}, | ||
year = {2018}, | year = {2018}, | ||
- | % howpublished | + | journal |
- | | + | |
- | | + | |
keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, | keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, | ||
} | } | ||
Line 8517: | Line 8549: | ||
} | } | ||
+ | @article{roy2019noninvasive, | ||
+ | title={A Non-invasive {3D} Body Scanner and Software Tool towards Analysis of Scoliosis}, | ||
+ | author={S. Roy and A.T.D. Gruenwald and A. Alves-Pinto and R. Maier and D. Cremers and D. Pfeiffer and R. Lampe}, | ||
+ | journal={BioMed Research International (BMRI)}, | ||
+ | year={2019}, | ||
+ | month={May}, | ||
+ | keywords={rgb-d, | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | @inproceedings{bylow2019combining, | ||
+ | title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models}, | ||
+ | author={E. Bylow and R. Maier and F. Kahl and C. Olsson}, | ||
+ | booktitle={Scandinavian Conference on Image Analysis (SCIA)}, | ||
+ | year={2019}, | ||
+ | month={June}, | ||
+ | address={Norrk{\" | ||
+ | keywords={rgb-d, | ||
+ | } | ||
+ | |||
+ | @InProceedings{laude-wu-cremers-aistats-19, | ||
+ | author = "E. Laude and T. Wu and D. Cremers", | ||
+ | title = {Optimization of Inf-Convolution Regularized Nonconvex Composite Problems}, | ||
+ | booktitle = {International Conference on Artificial | ||
+ | Intelligence and Statistics (AISTATS)}, | ||
+ | year = " | ||
+ | titleurl = {laude-wu-cremers-aistats-19.pdf} | ||
+ | } | ||
+ | |||
+ | @InProceedings{moellenh-cvpr-19, | ||
+ | author = {T. M{\" | ||
+ | title = {Lifting Vectorial Variational Problems: A Natural Formulation based on | ||
+ | Geometric Measure Theory and Discrete Exterior Calculus}, | ||
+ | booktitle=cvpr, | ||
+ | year = " | ||
+ | titleurl = {moellenh-cvpr-19.pdf}, | ||
+ | note = {{<a href=" | ||
+ | award = {Oral Presentation} | ||
+ | } | ||
+ | |||
+ | @article{moeller-et-al-19, | ||
+ | author = "M. Moeller and T. M{\" | ||
+ | title = " | ||
+ | journal = {preprint}, | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @InProceedings{usenko19nfr, | ||
+ | author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers", | ||
+ | title = " | ||
+ | eprint = {1904.06504}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | booktitle={arXiv: | ||
+ | year = " | ||
+ | keywords = nfr | ||
+ | } | ||
+ | |||
+ | @Article{Pasa-et-al-2019, | ||
+ | author={F. Pasa and V. Golkov and F. Pfeiffer and D. Cremers and D. Pfeiffer}, | ||
+ | title={Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization}, | ||
+ | journal={Scientific Reports}, | ||
+ | year={2019}, | ||
+ | volume={9}, | ||
+ | number={1}, | ||
+ | pages={6268}, | ||
+ | issn={2045-2322}, | ||
+ | doi={10.1038/ | ||
+ | url={https:// | ||
+ | keywords={medical imaging, | ||
+ | } | ||
+ | |||
+ | @article{wang19DirectShape, | ||
+ | author = "R. Wang and N. Yang and J. Stueckler and D. Cremers", | ||
+ | title = " | ||
+ | journal = {preprint}, | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | keywords = {stereo, 3D reconstruction, | ||
+ | } | ||
+ | |||
+ | @article{Schuchardt-et-al-2019, | ||
+ | author = {J. Schuchardt and V. Golkov and D. Cremers}, | ||
+ | title = {Learning to Evolve}, | ||
+ | year = {2019}, | ||
+ | journal = {arXiv preprint arXiv: | ||
+ | eprint = {1905.03389}, | ||
+ | eprinttype = {arXiv}, | ||
+ | keywords = {evolutionary algorithms, evolutionary computation, | ||
+ | } | ||
+ | |||
+ | @InProceedings{flatgan-icml-19, | ||
+ | author = "T. M{\" | ||
+ | title = "Flat Metric Minimization with Applications in Generative Modeling", | ||
+ | booktitle = " | ||
+ | primaryClass = " | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @InProceedings{Frerix2019-givens, | ||
+ | author = "T. Frerix and J. Bruna", | ||
+ | title = " | ||
+ | booktitle = " | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | } |