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spezial:bib [2019/08/20 22:28] Dr. Vladimir Golkov |
spezial:bib [2020/01/23 18:00] Rui Wang |
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- | @STRING{aap = {Archiv f{\" | + | e@STRING{aap = {Archiv f{\" |
@STRING{accv = {Asian Conference on Computer Vision}} | @STRING{accv = {Asian Conference on Computer Vision}} | ||
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titleurl = {rodola-3dv14.pdf}, | titleurl = {rodola-3dv14.pdf}, | ||
topic = {Correspondence, | topic = {Correspondence, | ||
- | } | ||
- | |||
- | @Misc{demmel14, | ||
- | author = Nikolaus Demmel, | ||
- | title = Total Variation Segmentation Incorporating Depth Information | ||
- | month = Sept., | ||
- | year = 2014 | ||
- | note = IDP Project, | ||
- | keywords = Total Variation, Segmentation, | ||
} | } | ||
Line 7822: | Line 7813: | ||
author = "N. Yang and R. Wang and X. Gao and D. Cremers", | author = "N. Yang and R. Wang and X. Gao and D. Cremers", | ||
title = " | title = " | ||
- | journal = "IEEE Robotics and Automation Letters (RA-L)", | + | journal = " |
volume = {3}, | volume = {3}, | ||
issue = {4}, | issue = {4}, | ||
Line 7831: | Line 7822: | ||
titleurl = {yang18challenges.pdf}, | titleurl = {yang18challenges.pdf}, | ||
keywords={Brightness; | keywords={Brightness; | ||
- | note = {{This paper was also selected by IROS' | + | note = {{<a href=" |
} | } | ||
Line 7967: | Line 7958: | ||
year = {2019}, | year = {2019}, | ||
note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href=" | note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href=" | ||
+ | } | ||
+ | |||
+ | @inproceedings{sang2020wacv, | ||
+ | title = {Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach}, | ||
+ | author = {Sang, L. and Haefner, B. and Cremers, D.}, | ||
+ | booktitle={IEEE Winter Conference on Applications of Computer Vision (WACV)}, | ||
+ | month={March}, | ||
+ | address={Colorado, | ||
+ | year = {2020}, | ||
+ | eprint = {1912.06501}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | award = {Spotlight Presentation}, | ||
+ | titleurl = {sang2020wacv.pdf}, | ||
+ | } | ||
+ | |||
+ | @article{mukkamala2019arxiv, | ||
+ | title={Bregman Proximal Framework for Deep Linear Neural Networks}, | ||
+ | author={Mahesh Chandra Mukkamala and Felix Westerkamp and Emanuel Laude and Daniel Cremers and Peter Ochs}, | ||
+ | journal = {arXiv preprint arXiv: | ||
+ | year = {2019}, | ||
+ | eprint = {1910.03638}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {math.OC} | ||
+ | } | ||
+ | |||
+ | @article{brahimi2019springer, | ||
+ | title = {On well-posedness of uncalibrated photometric stereo under general lighting}, | ||
+ | author = {Brahimi, M. and Quéau, Y. and Haefner, B. and Cremers, D.}, | ||
+ | journal = {arXiv preprint arXiv: | ||
+ | year = {2019}, | ||
+ | eprint = {1911.07268}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | titleurl = {brahimi2019springer.pdf}, | ||
} | } | ||
Line 7976: | Line 8002: | ||
address={Québec City, Canada}, | address={Québec City, Canada}, | ||
year = {2019}, | year = {2019}, | ||
+ | award = {Spotlight Presentation}, | ||
titleurl = {haefner20193dv.pdf}, | titleurl = {haefner20193dv.pdf}, | ||
+ | note = { | ||
+ | {<a href="/ | ||
+ | }, | ||
} | } | ||
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note = { | note = { | ||
{<a href="/ | {<a href="/ | ||
+ | {<a href="/ | ||
+ | {<a href=" | ||
+ | {<a href=" | ||
}, | }, | ||
keywords={d-reconstruction, | keywords={d-reconstruction, | ||
} | } | ||
+ | |||
+ | @article{laude2019jota, | ||
+ | title = {Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity}, | ||
+ | | ||
+ | | ||
+ | | ||
+ | year = {2019}, | ||
+ | eprint = {1907.04306}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {math.OC}, | ||
+ | } | ||
@article{haefner2019tpami, | @article{haefner2019tpami, | ||
Line 8024: | Line 8068: | ||
note = { | note = { | ||
{<a href="/ | {<a href="/ | ||
+ | {<a href="/ | ||
{<a href=" | {<a href=" | ||
{<a href=" | {<a href=" | ||
Line 8221: | Line 8266: | ||
eprinttype = {arXiv}, | eprinttype = {arXiv}, | ||
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, | ||
+ | award = {Oral Presentation} | ||
} | } | ||
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} | } | ||
+ | @InProceedings{schubert2019vidsors, | ||
+ | author = "D. Schubert and N. Demmel and L. von Stumberg and V. Usenko and D. Cremers", | ||
+ | title = " | ||
+ | booktitle = iros, | ||
+ | year = " | ||
+ | month = " | ||
+ | arXiv = " | ||
+ | note = {{<a href=" | ||
+ | keywords = vidsors | ||
+ | } | ||
Line 8403: | Line 8459: | ||
} | } | ||
- | @article{eisenberger2019divfree, | + | @InProceedings{eisenberger2019divfree, |
author = "M. Eisenberger and Z. L\" | author = "M. Eisenberger and Z. L\" | ||
title = " | title = " | ||
- | | + | |
arXiv = " arXiv: | arXiv = " arXiv: | ||
year = " | year = " | ||
month = " | month = " | ||
- | note = {Will be presented at Symposium on Geometry Processing (SGP) {<a href=" | + | note = {{<a href=" |
} | } | ||
Line 8547: | Line 8603: | ||
title = {{Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs}}, | title = {{Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs}}, | ||
year = {2018}, | year = {2018}, | ||
- | note = {{<a href=" | + | note = {{<a href=" |
} | } | ||
Line 8611: | Line 8667: | ||
} | } | ||
- | @InProceedings{usenko19nfr, | + | @article{usenko19nfr, |
author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers", | author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers", | ||
title = " | title = " | ||
- | | + | |
- | | + | |
- | | + | |
- | | + | |
- | | + | number={2}, |
+ | pages={422-429}, | ||
+ | keywords={Simultaneous localization and mapping; | ||
+ | doi={10.1109/ | ||
+ | | ||
keywords = nfr | keywords = nfr | ||
} | } | ||
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} | } | ||
- | @article{wang19DirectShape, | + | @InProceedings{wang19DirectShape, |
- | author = "R. Wang and N. Yang and J. Stueckler and D. Cremers", | + | author={R. Wang and N. Yang and J. Stueckler and D. Cremers}, |
- | title = "DirectShape: | + | title={DirectShape: |
- | | + | |
- | year = " | + | year={2020}, |
- | note = {{<a href=" | + | note={{< |
- | keywords = {stereo, 3D reconstruction, | + | keywords={stereo, |
} | } | ||
Line 8674: | Line 8734: | ||
} | } | ||
- | @article{gn-net-19, | + | @article{gn-net-2020, |
author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers", | author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers", | ||
- | title = " | + | title = " |
- | journal = {preprint}, | + | journal = {IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robotics and Automation (ICRA)}, |
- | year = "2019", | + | year = "2020", |
- | note = {{<a href=" | + | note = {{<a href=" |
keywords = {gn-net} | keywords = {gn-net} | ||
} | } | ||
Line 8691: | Line 8751: | ||
} | } | ||
- | @article{control-across-weathers-19, | + | @inproceedings{control-across-weathers-19, |
author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe", | author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe", | ||
title = " | title = " | ||
- | | + | |
year = " | year = " | ||
note = {{<a href=" | note = {{<a href=" | ||
Line 8717: | Line 8777: | ||
eprintclass = {cs.CV}, | eprintclass = {cs.CV}, | ||
} | } | ||
+ | |||
+ | @inproceedings{jung2019corl, | ||
+ | author = {E. Jung and N. Yang and D. Cremers}, | ||
+ | booktitle = {Conference on Robot Learning (CoRL)}, | ||
+ | title = {{Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light}}, | ||
+ | award = {Full Oral Presentation}, | ||
+ | note = {{<a href=" | ||
+ | year = {2019} | ||
+ | } | ||
+ | |||
+ | @inproceedings{weiss2019sparse, | ||
+ | title={Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction}, | ||
+ | author={S. Weiss and R. Maier and R. Westermann and D. Cremers and N. Thuerey}, | ||
+ | journal = {preprint}, | ||
+ | booktitle = {arXiv preprint arXiv: | ||
+ | year={2019}, | ||
+ | eprint = {1910.01812}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @article{Della-Libera-et-al-2019, | ||
+ | author = {L. Della Libera and V. Golkov and Y. Zhu and A. Mielke and D. Cremers}, | ||
+ | title = {Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods}, | ||
+ | year = {2019}, | ||
+ | journal = {arXiv preprint arXiv: | ||
+ | eprint = {1910.14594}, | ||
+ | eprinttype = {arXiv}, | ||
+ | keywords = {deep learning, neural networks, 2D, 3D, rotations, invariance, equivariance, | ||
+ | } | ||
+ | |||
+ | @InBook{vi-dso-chapter, | ||
+ | author = {L. von Stumberg and V. Usenko and D. Cremers}, | ||
+ | editor = {Michael Ying Yang and Bodo Rosenhahn and Vittorio Murino}, | ||
+ | title = {A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry}, | ||
+ | chapter = {Multimodal Scene Understanding}, | ||
+ | publisher = {Elsevier}, | ||
+ | year = {2019} | ||
+ | } | ||
+ | |||
+ | @InProceedings{sommer19spline, | ||
+ | author = "C. Sommer and V. Usenko and D. Schubert and N. Demmel and D. Cremers", | ||
+ | title = " | ||
+ | eprint = {1911.08860}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | booktitle={arXiv: | ||
+ | year = " | ||
+ | } | ||
+ | |||
+ | @inproceedings{brechet2019, | ||
+ | title = {Informative GANs via Structured Regularization of Optimal Transport}, | ||
+ | | ||
+ | | ||
+ | year = {2019}, | ||
+ | | ||
+ | | ||
+ | | ||
+ | } | ||
+ |