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spezial:bib [2019/02/15 00:16] Dr. Vladimir Golkov |
spezial:bib [2019/04/19 19:19] Dr. Vladimir Golkov |
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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 7658: | Line 7658: | ||
} | } | ||
- | @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 7789: | ||
@InProceedings{hazirbas18ddff, | @InProceedings{hazirbas18ddff, | ||
| | ||
- | title = {{<a href=" | + | title = {{Deep Depth From Focus}}, |
year = " | year = " | ||
month = " | month = " | ||
| | ||
- | note = {{<a href=" | + | note = {{<a href=" |
| | ||
} | } | ||
Line 7951: | Line 7951: | ||
address={Venice, | address={Venice, | ||
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 7986: | ||
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 8002: | ||
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 8020: | ||
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 8003: | Line 8030: | ||
@inproceedings{wang2017stereoDSO, | @inproceedings{wang2017stereoDSO, | ||
title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras}, | title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras}, | ||
- | author={Wang, R. and Schw\" | + | |
booktitle={International Conference on Computer Vision (ICCV)}, | booktitle={International Conference on Computer Vision (ICCV)}, | ||
year={2017}, | year={2017}, | ||
Line 8009: | Line 8036: | ||
address={Venice, | address={Venice, | ||
keywords={dso, | keywords={dso, | ||
- | note = {{<a href="/ | + | note = {{<a href="/ |
} | } | ||
Line 8108: | Line 8135: | ||
titleurl = {bergmann17calibration.pdf}, | titleurl = {bergmann17calibration.pdf}, | ||
keywords={visual odometry, calibration, | keywords={visual odometry, calibration, | ||
- | 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 8172: | ||
} | } | ||
- | @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 8156: | Line 8191: | ||
@inproceedings{Swazinna-et-al-ismrm2019, | @inproceedings{Swazinna-et-al-ismrm2019, | ||
- | author = {P. Swazinna and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D.~K.~Jones and D. Cremers}, | + | author = {P. Swazinna and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers}, |
title = {Negative-Unlabeled Learning for Diffusion MRI}, | title = {Negative-Unlabeled Learning for Diffusion MRI}, | ||
year = {2019}, | year = {2019}, | ||
Line 8182: | Line 8217: | ||
} | } | ||
- | @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 and D. Cremers}, | ||
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 8275: | Line 8310: | ||
} | } | ||
- | @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 8314: | Line 8343: | ||
author = "X. Gao and R. Wang and N. Demmel and D. Cremers", | author = "X. Gao and R. Wang and N. Demmel and D. Cremers", | ||
title = "LDSO: Direct Sparse Odometry with Loop Closure", | title = "LDSO: Direct Sparse Odometry with Loop Closure", | ||
- | booktitle = iros, | + | booktitle = "iros", |
arXiv = " | arXiv = " | ||
year = " | year = " | ||
month = " | month = " | ||
- | note = {{<a href=" | + | note = {{<a href=" |
keywords = {dso, ldso} | keywords = {dso, ldso} | ||
} | } | ||
Line 8331: | Line 8360: | ||
} | } | ||
- | @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 8374: | Line 8403: | ||
author = "N. Yang and R. Wang and J. Stueckler and D. Cremers", | author = "N. Yang and R. Wang and J. Stueckler and D. Cremers", | ||
title = "Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry", | title = "Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry", | ||
- | booktitle | + | booktitle |
year = " | year = " | ||
month = " | month = " | ||
Line 8506: | Line 8535: | ||
note = {{<a href=" | note = {{<a href=" | ||
} | } | ||
+ | |||
+ | @phdthesis{usenko_phd, | ||
+ | author = " | ||
+ | title = " | ||
+ | type = " | ||
+ | school = " | ||
+ | address = " | ||
+ | year = 2019, | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @inproceedings{bylow2019combining, | ||
+ | title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models}, | ||
+ | author={Bylow, | ||
+ | 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}, | ||
+ | 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 | ||
+ | } | ||
+ | |||
+ | @InProceedings{wang19DirectShape, | ||
+ | author = "R. Wang and N. Yang and J. Stueckler and D. Cremers", | ||
+ | title = " | ||
+ | year = " | ||
+ | keywords = {stereo, 3D reconstruction, | ||
+ | } | ||
+ | |||
+ | @Article{Pasa-et-al-2019, | ||
+ | author={Pasa, | ||
+ | and Golkov, V. | ||
+ | and Pfeiffer, F. | ||
+ | and Cremers, D. | ||
+ | and Pfeiffer, D.}, | ||
+ | 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:// | ||
+ | } | ||
+ | |||
+ |