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spezial:bib [2019/04/16 07:55] usenko |
spezial:bib [2020/07/03 21:27] Rui Wang |
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@STRING{icip = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {I}mage {P}rocessing}} | @STRING{icip = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {I}mage {P}rocessing}} | ||
+ | |||
+ | @STRING{icml = {{I}nternational {C}onference on {M}achine {L}earning (ICML)}} | ||
@STRING{icra = {International Conference on Robotics and Automation (ICRA)}} | @STRING{icra = {International Conference on Robotics and Automation (ICRA)}} | ||
Line 3713: | Line 3715: | ||
year = {2009}, | year = {2009}, | ||
| | ||
+ | | ||
titleurl = {mitzel_et_al_dagm09.pdf} | titleurl = {mitzel_et_al_dagm09.pdf} | ||
} | } | ||
Line 3943: | Line 3946: | ||
address = {Germany}, | address = {Germany}, | ||
month = jul, | month = jul, | ||
+ | keywords = {optical-flow}, | ||
titleurl = {nieuwenhuis_PhDThesis.pdf}, | titleurl = {nieuwenhuis_PhDThesis.pdf}, | ||
} | } | ||
Line 4444: | Line 4448: | ||
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 4620: | ||
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 4956: | ||
@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 4966: | ||
@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 5017: | ||
@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 5922: | Line 5927: | ||
keywords={rgb-d, | keywords={rgb-d, | ||
note = {{<a href="/ | note = {{<a href="/ | ||
+ | award = {Oral Presentation} | ||
} | } | ||
Line 6093: | Line 6099: | ||
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 7283: | Line 7280: | ||
url = " | url = " | ||
| | ||
- | keywords = {deeplearning, | + | keywords = {deeplearning, |
} | } | ||
Line 7570: | Line 7567: | ||
@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 7818: | Line 7815: | ||
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 7827: | Line 7824: | ||
titleurl = {yang18challenges.pdf}, | titleurl = {yang18challenges.pdf}, | ||
keywords={Brightness; | keywords={Brightness; | ||
- | note = {{This paper was also selected by IROS' | + | note = {{<a href=" |
} | } | ||
Line 7923: | Line 7920: | ||
@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 7931: | ||
@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}, | ||
month={October}, | month={October}, | ||
address={Qingdao, | address={Qingdao, | ||
+ | award = {Spotlight Presentation}, | ||
keywords={scene-flow, | keywords={scene-flow, | ||
note = {{<a href="/ | note = {{<a href="/ | ||
Line 7945: | Line 7943: | ||
@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 7964: | Line 7962: | ||
} | } | ||
- | @article{Haefner2019A, | + | @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}, | ||
+ | note = { | ||
+ | {<a href="/ | ||
+ | {<a href="/ | ||
+ | }, | ||
+ | } | ||
+ | |||
+ | @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}, | ||
+ | } | ||
+ | |||
+ | @inproceedings{haefner20193dv, | ||
+ | title = {Photometric Segmentation: | ||
+ | author = {Haefner, B. and Quéau, Y. and Cremers, D.}, | ||
+ | booktitle={International Conference on 3D Vision (3DV)}, | ||
+ | month={September}, | ||
+ | address={Québec City, Canada}, | ||
+ | year = {2019}, | ||
+ | award = {Spotlight Presentation}, | ||
+ | titleurl = {haefner20193dv.pdf}, | ||
+ | note = { | ||
+ | {<a href="/ | ||
+ | }, | ||
+ | } | ||
+ | |||
+ | @inproceedings{haefner2019iccv, | ||
title = {Variational Uncalibrated Photometric Stereo under General Lighting}, | 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.}, | author = {Haefner, B. and Ye, Z. and Gao, M. and Wu, T. and Quéau, Y. and Cremers, D.}, | ||
- | | + | |
+ | month={October}, | ||
+ | address={Seoul, | ||
eprint = {1904.03942}, | eprint = {1904.03942}, | ||
eprinttype = {arXiv}, | eprinttype = {arXiv}, | ||
Line 7975: | Line 8028: | ||
note = { | note = { | ||
{<a href="/ | {<a href="/ | ||
+ | {<a href="/ | ||
+ | {<a href=" | ||
+ | {<a href=" | ||
+ | {<a href=" | ||
}, | }, | ||
keywords={d-reconstruction, | keywords={d-reconstruction, | ||
Line 7980: | Line 8037: | ||
- | @article{Haefner2018A, | + | @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, | ||
title = {Photometric Depth Super-Resolution}, | title = {Photometric Depth Super-Resolution}, | ||
| | ||
- | | + | |
- | year = {2018}, | + | year = {2019}, |
- | | + | eprint = {1809.10097}, |
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | titleurl = {haefner2018.pdf}, | ||
note = { | note = { | ||
{<a href="/ | {<a href="/ | ||
- | {<a href=" | ||
{<a href=" | {<a href=" | ||
+ | {<a href=" | ||
}, | }, | ||
keywords={rgb-d, | keywords={rgb-d, | ||
Line 7995: | Line 8066: | ||
- | @inproceedings{Haefner2018CVPR, | + | @inproceedings{haefner2018cvpr, |
title = {Fight ill-posedness with ill-posedness: | title = {Fight ill-posedness with ill-posedness: | ||
| | ||
Line 8004: | Line 8075: | ||
note = { | note = { | ||
{<a href="/ | {<a href="/ | ||
+ | {<a href="/ | ||
{<a href=" | {<a href=" | ||
{<a href=" | {<a href=" | ||
Line 8013: | Line 8085: | ||
- | @inproceedings{Peng2017, | + | @inproceedings{peng2017, |
title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo}, | title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo}, | ||
| | ||
| | ||
year = {2017}, | year = {2017}, | ||
+ | eprint = {1708.00411}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
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}, | ||
| | ||
Line 8188: | Line 8263: | ||
booktitle = ismrm, | booktitle = ismrm, | ||
keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation}, | keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation}, | ||
+ | } | ||
+ | |||
+ | @inproceedings{Vasilev-et-al-2018, | ||
+ | author = {A. Vasilev and V. Golkov and M. Meissner 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}, | ||
+ | year = {2019}, | ||
+ | booktitle = {MICCAI 2019 International Workshop on Computational Diffusion MRI}, | ||
+ | eprint = {1806.02997}, | ||
+ | eprinttype = {arXiv}, | ||
+ | keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, | ||
+ | award = {Oral Presentation} | ||
} | } | ||
Line 8215: | Line 8301: | ||
booktitle = {bioRxiv preprint}, | booktitle = {bioRxiv preprint}, | ||
keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, | keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, | ||
+ | } | ||
+ | |||
+ | @inproceedings{Golkov-et-al-2020-ROC, | ||
+ | author = {V. Golkov and A. Becker and D. T. Plop and D. \v{C}uturilo and N. Davoudi and J. Mendenhall and R. Moretti and J. Meiler and D. Cremers}, | ||
+ | title = {Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions}, | ||
+ | year = {2020}, | ||
+ | % howpublished = {Preprint}, | ||
+ | note = {{<a href=" | ||
+ | booktitle = {bioRxiv preprint}, | ||
+ | keywords = {deep learning, drug discovery, virtual screening, neural networks, machine learning, QSAR, classification, | ||
} | } | ||
@article{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}, | ||
Line 8252: | Line 8348: | ||
eprint = {arXiv: | eprint = {arXiv: | ||
note = {{<a href=" | note = {{<a href=" | ||
- | keywords = {deeplearning} | + | keywords = {deeplearning, optical-flow} |
} | } | ||
Line 8338: | Line 8434: | ||
} | } | ||
+ | @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 8358: | Line 8464: | ||
year={2010}, | year={2010}, | ||
organization={IEEE} | organization={IEEE} | ||
- | } | ||
- | |||
- | @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}, | ||
- | title = {{q}-{S}pace Novelty Detection with Variational Autoencoders}, | ||
- | year = {2018}, | ||
- | journal = {arXiv preprint arXiv: | ||
- | eprint = {1806.02997}, | ||
- | eprinttype = {arXiv}, | ||
- | keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, | ||
} | } | ||
Line 8380: | Line 8476: | ||
} | } | ||
- | @InProceedings{eisenberger2018divfree, | + | @InProceedings{eisenberger2019divfree, |
author = "M. Eisenberger and Z. L\" | author = "M. Eisenberger and Z. L\" | ||
- | title = " | + | title = " |
- | booktitle = "arXiv: | + | booktitle = "Computer Graphics Forum", |
arXiv = " arXiv: | arXiv = " arXiv: | ||
- | year = "2018", | + | year = "2019", |
- | month = "Juni", | + | month = "July", |
note = {{<a href=" | note = {{<a href=" | ||
} | } | ||
Line 8444: | Line 8540: | ||
} | } | ||
- | @InProceedings{sundermeyer2018eccv, | + | @InProceedings{sundermeyer18implicit, |
author = {M. Sundermeyer and Z. Marton and M. Durner and M. Brucker and R. Triebel}, | author = {M. Sundermeyer and Z. Marton and M. Durner and M. Brucker and R. Triebel}, | ||
title = {Implicit 3D Orientation Learning for 6D Object Detection from RGB Images}, | title = {Implicit 3D Orientation Learning for 6D Object Detection from RGB Images}, | ||
Line 8453: | Line 8549: | ||
} | } | ||
- | @InProceedings{denninger18iros, | + | @InProceedings{denninger18persistent, |
author = {M. Denninger and R. Triebel}, | author = {M. Denninger and R. Triebel}, | ||
title = {Persistent Anytime Learning of Objects from Unseen Classes }, | title = {Persistent Anytime Learning of Objects from Unseen Classes }, | ||
Line 8462: | Line 8558: | ||
award = {Best Cognitive Robotics Paper Finalist}, | award = {Best Cognitive Robotics Paper Finalist}, | ||
} | } | ||
- | @InProceedings{grixa18iros, | + | @InProceedings{grixa18appearance, |
author = {I. Grixa and P. Schulz and W. St\" | author = {I. Grixa and P. Schulz and W. St\" | ||
title = {Appearance-Based Along-Route Localization for Planetary Missions}, | title = {Appearance-Based Along-Route Localization for Planetary Missions}, | ||
Line 8524: | Line 8620: | ||
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=" |
} | } | ||
@article{Frerix2019, | @article{Frerix2019, | ||
- | author = "Thomas | + | author = "T. Frerix and M. Nie{\ss}ner and D. Cremers", |
- | title = " | + | title = "Homogeneous |
journal = " | journal = " | ||
primaryClass = " | primaryClass = " | ||
Line 8544: | Line 8640: | ||
year = 2019, | year = 2019, | ||
note = {{<a href=" | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @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, | @inproceedings{bylow2019combining, | ||
title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models}, | title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models}, | ||
- | author={Bylow, | + | author={E. |
booktitle={Scandinavian Conference on Image Analysis (SCIA)}, | booktitle={Scandinavian Conference on Image Analysis (SCIA)}, | ||
year={2019}, | year={2019}, | ||
month={June}, | month={June}, | ||
address={Norrk{\" | address={Norrk{\" | ||
- | keywords={rgb-d, | + | keywords={rgb-d, |
+ | award = {Oral Presentation, | ||
+ | note = {{<a href="/ | ||
} | } | ||
Line 8572: | Line 8680: | ||
year = " | year = " | ||
titleurl = {moellenh-cvpr-19.pdf}, | titleurl = {moellenh-cvpr-19.pdf}, | ||
- | award = {Oral Presentation} | + | award = {Oral Presentation}, |
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @article{usenko19nfr, | ||
+ | author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers", | ||
+ | title = " | ||
+ | journal = {IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robotics and Automation (ICRA)}, | ||
+ | publisher = {IEEE}, | ||
+ | year={2020}, | ||
+ | volume={5}, | ||
+ | number={2}, | ||
+ | pages={422-429}, | ||
+ | keywords={Simultaneous localization and mapping; | ||
+ | doi={10.1109/ | ||
+ | note = {{<a href=" | ||
+ | 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, | ||
+ | } | ||
+ | |||
+ | @InProceedings{wang2020directshape, | ||
+ | author={R. Wang and N. Yang and J. Stueckler and D. Cremers}, | ||
+ | title={DirectShape: | ||
+ | booktitle={Proc. of the IEEE International Conference on Robotics and Automation (ICRA)}, | ||
+ | year={2020}, | ||
+ | note={{< | ||
+ | keywords={stereo, | ||
+ | } | ||
+ | |||
+ | @inproceedings{du2020dh3d, | ||
+ | author = "J. Du and R. Wang and D. Cremers", | ||
+ | title = "DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization", | ||
+ | booktitle = " | ||
+ | year = " | ||
+ | award = {Spotlight Presentation}, | ||
+ | keywords={SLAM, | ||
+ | } | ||
+ | |||
+ | @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=" | ||
+ | award = {Full Oral Presentation}, | ||
+ | month={6} | ||
+ | } | ||
+ | |||
+ | @InProceedings{Frerix2019-givens, | ||
+ | title = {{Approximating Orthogonal Matrices with Effective Givens Factorization}}, | ||
+ | author = {T. Frerix and J. Bruna}, | ||
+ | booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)}, | ||
+ | year = {2019}, | ||
+ | note = {<a href=" | ||
+ | } | ||
+ | |||
+ | @article{gn-net-2020, | ||
+ | author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers", | ||
+ | title = " | ||
+ | journal = {IEEE Robotics and Automation Letters (RA-L) & International Conference on Robotics and Automation (ICRA)}, | ||
+ | year = " | ||
+ | volume={5}, | ||
+ | number={2}, | ||
+ | pages={890-897}, | ||
+ | note = {{<a href=" | ||
+ | keywords = {gn-net} | ||
+ | } | ||
+ | |||
+ | @inproceedings{eisenberger2019smoothshells, | ||
+ | author = "M. Eisenberger and Z. L\" | ||
+ | title = " | ||
+ | booktitle = "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)", | ||
+ | year = " | ||
+ | award = {Oral Presentation}, | ||
+ | note = {<a href=" | ||
+ | } | ||
+ | |||
+ | @inproceedings{eisenberger2020hamiltonian, | ||
+ | author = "M. Eisenberger and D. Cremers", | ||
+ | title = " | ||
+ | booktitle = " | ||
+ | year = " | ||
+ | award = {Spotlight Presentation}, | ||
+ | note = {<a href=" | ||
+ | } | ||
+ | |||
+ | @inproceedings{Weiss-et-al-cvpr2020, | ||
+ | author = "S. Weiss and R. Maier and D. Cremers and R. Westermann and N. Thuerey", | ||
+ | title = " | ||
+ | booktitle = "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)", | ||
+ | year = " | ||
+ | titleurl = {Weiss_et_al_cvpr2020.pdf}, | ||
+ | } | ||
+ | |||
+ | @inproceedings{control-across-weathers-19, | ||
+ | author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe", | ||
+ | title = " | ||
+ | booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @InProceedings{puang19visual, | ||
+ | title = {{Visual Repetition Sampling for Robot Manipulation Planning}}, | ||
+ | author = {E.Y. Puang and P. Lehner and Z.C. Marton and M. Durner and R. Triebel and A. Albu-Sch\" | ||
+ | booktitle = icra, | ||
+ | year = {2019} | ||
} | } | ||
- | @article{moeller-et-al-19, | + | @inproceedings{moeller-et-al-19, |
author = "M. Moeller and T. M{\" | author = "M. Moeller and T. M{\" | ||
title = " | title = " | ||
- | | + | |
year = " | year = " | ||
- | | + | |
+ | address={Seoul, South Korea}, | ||
+ | eprint | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
} | } | ||
- | @InProceedings{usenko19nfr, | + | @inproceedings{jung2019corl, |
- | author = "V. Usenko and N. Demmel | + | author = {E. Jung and N. Yang and D. Cremers}, |
- | title = "Visual-Inertial Mapping with Non-Linear Factor Recovery", | + | booktitle = {Conference on Robot Learning (CoRL)}, |
- | eprint = {1904.06504}, | + | 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, | ||
+ | | ||
+ | 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", | ||
+ | title = "A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry", | ||
+ | editor = "M. Yang and B. Rosenhahn and V. Murino", | ||
+ | chapter = " | ||
+ | publisher = " | ||
+ | pages = " | ||
+ | year = " | ||
+ | doi = " | ||
+ | isbn = " | ||
+ | } | ||
+ | |||
+ | @Inbook{usenko2020_tumflyers, | ||
+ | author=" | ||
+ | editor=" | ||
+ | title=" | ||
+ | chapter=" | ||
+ | year=" | ||
+ | publisher=" | ||
+ | address=" | ||
+ | pages=" | ||
+ | isbn=" | ||
+ | doi=" | ||
+ | } | ||
+ | |||
+ | |||
+ | @InProceedings{sommer19spline, | ||
+ | author = "C. Sommer and V. Usenko | ||
+ | title = "Efficient Derivative Computation for Cumulative B-Splines on Lie Groups", | ||
+ | eprint = {1911.08860}, | ||
eprinttype = {arXiv}, | eprinttype = {arXiv}, | ||
eprintclass = {cs.CV}, | eprintclass = {cs.CV}, | ||
- | year = " | + | |
+ | | ||
+ | award = {Oral Presentation}, | ||
+ | keywords=lie-spline | ||
} | } | ||
+ | |||
+ | @inproceedings{brechet2019, | ||
+ | title = {Informative GANs via Structured Regularization of Optimal Transport}, | ||
+ | | ||
+ | | ||
+ | year = {2019}, | ||
+ | | ||
+ | | ||
+ | | ||
+ | } | ||
+ | |||
+ | @InProceedings{yang20d3vo, | ||
+ | author = "N. Yang and L. von Stumberg and R. Wang and D. Cremers", | ||
+ | title = "D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry", | ||
+ | booktitle=cvpr, | ||
+ | year = {2020}, | ||
+ | eprint = {2003.01060}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | award = {Oral Presentation}, | ||
+ | keywords = {dso,dvso, deep learning, deeplearning, | ||
+ | } | ||
+ | |||
+ | @InProceedings{fontan20information, | ||
+ | author | ||
+ | title = " | ||
+ | booktitle=cvpr, | ||
+ | year=2020, | ||
+ | award = {Oral Presentation}, | ||
+ | } | ||
+ | |||
+ | @InProceedings{sundermeyer20multi, | ||
+ | author | ||
+ | title = " | ||
+ | booktitle=cvpr, | ||
+ | year=2020, | ||
+ | } | ||
+ | |||
+ | @InProceedings{wenger20nonparametric, | ||
+ | author = "J. Wenger and H. Kjellstr\" | ||
+ | title = " | ||
+ | booktitle = {International Conference on Artificial | ||
+ | Intelligence and Statistics (AISTATS)}, | ||
+ | year = {2020}, | ||
+ | } | ||
+ | |||
+ | @InProceedings{lee20visual, | ||
+ | author = " J. Lee and R. Balachandran and Y. Sarkisov and M. De Stefano and A. Coelho and K. Shinde and M. J. Kim and R. Triebel and K. Kondak", | ||
+ | title = " | ||
+ | booktitle = icra, | ||
+ | year = {2020}, | ||
+ | } | ||
+ | |||
+ | @InProceedings{steidle19visual, | ||
+ | author = "F. Steidle and W. St\" | ||
+ | title = " | ||
+ | booktitle = " 11th International Micro Air Vehicle Competition and Conference (IMAV)", | ||
+ | year = {2019}, | ||
+ | } | ||
+ | | ||
+ | |||
+ | @InProceedings{feng19introspective, | ||
+ | author = "J. Feng and M. Durner and Z.-C. Marton and F. Balint-Benczedi and R. Triebel", | ||
+ | title = " | ||
+ | booktitle = " | ||
+ | year = {2019} | ||
+ | } | ||
+ | | ||
+ | | ||
+ | | ||
+ | @ARTICLE{giubilato20relocalization, | ||
+ | author = { R. Giubilato and M. Vayugundla and M. Schuster and W. St\" | ||
+ | title = {Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras}, | ||
+ | journal = "IEEE Robotics and Automation Letters", | ||
+ | volume = " | ||
+ | number = " | ||
+ | pages = " 580--587", | ||
+ | year = {2020}, | ||
+ | } | ||
+ | |||
+ | @ARTICLE{sundermeyer19augmented, | ||
+ | author={ M. Sundermeyer and Z. Marton and M. Durner and R. Triebel}, | ||
+ | title={Augmented Autoencoders: | ||
+ | journal=ijcv, | ||
+ | year={2019}, | ||
+ | } | ||
+ | |||
+ | @ARTICLE{lutz20ardea, | ||
+ | author={P. Lutz and M. G. M\" | ||
+ | title = {ARDEA—An MAV with skills for future planetary missions}, | ||
+ | journal={Journal of Field Robotics (JFR)}, | ||
+ | year={2020} | ||
+ | } | ||
+ | |||
+ | @inproceedings{ye2020optimization, | ||
+ | author = "Z. Ye and T. M\" | ||
+ | title = " | ||
+ | booktitle = {International Conference on Artificial | ||
+ | Intelligence and Statistics (AISTATS)}, | ||
+ | year = {2020}, | ||
+ | titleurl = {ye-et-al-combinatorial-20.pdf}, | ||
+ | note = { | ||
+ | {<a href=" | ||
+ | }, | ||
+ | } | ||
+ | |||
+ | @phdthesis{maier2020dissertation, | ||
+ | author={R. Maier}, | ||
+ | title={High-Quality {3D} Reconstruction from Low-Cost {RGB-D} Sensors}, | ||
+ | type={Dissertation}, | ||
+ | school={Technische Universit\" | ||
+ | address={M\" | ||
+ | year={2020} | ||
+ | } | ||
+ | |||
+ | @inbook{maier2020rgbdvision, | ||
+ | title={{RGB-D Vision}}, | ||
+ | author={R. Maier and D. Cremers}, | ||
+ | chapter={Encyclopedia of Robotics}, | ||
+ | editor={Ang, | ||
+ | year={2020}, | ||
+ | publisher={Springer Berlin Heidelberg}, | ||
+ | address={Berlin, | ||
+ | pages={1--11}, | ||
+ | isbn={978-3-642-41610-1}, | ||
+ | doi={10.1007/ | ||
+ | url={https:// | ||
+ | } | ||
+ | |||
+ | @Inbook{Moeller2018, | ||
+ | author=" | ||
+ | and Cremers, Daniel", | ||
+ | editor=" | ||
+ | title=" | ||
+ | bookTitle=" | ||
+ | year=" | ||
+ | publisher=" | ||
+ | address=" | ||
+ | pages=" | ||
+ | titleurl = {moeller_cremers2020_denoising_old_and_new.pdf}, | ||
+ | } | ||
+ | |||
+ | |||
+ | |||
+ | @inproceedings{lee2020estimating, | ||
+ | author = " | ||
+ | title = " | ||
+ | booktitle = icml, | ||
+ | year = {2020} | ||
+ | } | ||
+ |