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spezial:bib [2019/06/12 19:51] frerix |
spezial:bib [2019/09/10 13:05] yangn |
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} | } | ||
- | @article{Haefner2019A, | + | @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}, | ||
+ | } | ||
+ | |||
+ | @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 7985: | Line 7998: | ||
- | @article{Haefner2018A, | + | @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 8000: | Line 8016: | ||
- | @inproceedings{Haefner2018CVPR, | + | @inproceedings{haefner2018cvpr, |
title = {Fight ill-posedness with ill-posedness: | title = {Fight ill-posedness with ill-posedness: | ||
| | ||
Line 8009: | Line 8025: | ||
note = { | note = { | ||
{<a href="/ | {<a href="/ | ||
+ | {<a href="/ | ||
{<a href=" | {<a href=" | ||
{<a href=" | {<a href=" | ||
Line 8018: | Line 8035: | ||
- | @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 8193: | Line 8213: | ||
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 8363: | Line 8394: | ||
year={2010}, | year={2010}, | ||
organization={IEEE} | organization={IEEE} | ||
- | } | ||
- | |||
- | @article{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 = {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 8385: | Line 8406: | ||
} | } | ||
- | @InProceedings{eisenberger2018divfree, | + | @article{eisenberger2019divfree, |
author = "M. Eisenberger and Z. L\" | author = "M. Eisenberger and Z. L\" | ||
- | title = " | + | title = " |
- | | + | |
arXiv = " arXiv: | arXiv = " arXiv: | ||
- | year = "2018", | + | year = "2019", |
- | month = "Juni", | + | month = "July", |
- | note = {{<a href=" | + | note = {Will be presented at Symposium on Geometry Processing (SGP) {<a href=" |
} | } | ||
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} | } | ||
- | @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 8458: | Line 8479: | ||
} | } | ||
- | @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 8467: | Line 8488: | ||
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}, | ||
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@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 8569: | Line 8590: | ||
address={Norrk{\" | address={Norrk{\" | ||
keywords={rgb-d, | keywords={rgb-d, | ||
- | award = {Oral Presentation} | + | award = {Oral Presentation, received the SCIA 2019 Honourable Mention award}, |
+ | note = {{<a href="/ | ||
} | } | ||
Line 8589: | Line 8611: | ||
titleurl = {moellenh-cvpr-19.pdf}, | titleurl = {moellenh-cvpr-19.pdf}, | ||
award = {Oral Presentation}, | award = {Oral Presentation}, | ||
- | note = {{<a href=" | + | note = {{<a href=" |
- | } | + | |
- | + | ||
- | @article{moeller-et-al-19, | + | |
- | author = "M. Moeller and T. M{\" | + | |
- | title = " | + | |
- | journal = {preprint}, | + | |
- | year = " | + | |
- | note = {{<a href=" | + | |
} | } | ||
Line 8630: | Line 8644: | ||
journal = {preprint}, | journal = {preprint}, | ||
year = " | year = " | ||
- | note = {{<a href=" | + | note = {{<a href=" |
- | keywords = {stereo, 3D reconstruction, | + | keywords = {stereo, 3D reconstruction, |
} | } | ||
Line 8651: | Line 8665: | ||
year = " | year = " | ||
note = {{<a href=" | note = {{<a href=" | ||
- | award = {Full Oral Presentation} | + | award = {Full Oral Presentation}, |
+ | month={6} | ||
} | } | ||
Line 8677: | Line 8692: | ||
year = " | year = " | ||
note = {{<a href=" | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @article{control-across-weathers-19, | ||
+ | author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe", | ||
+ | title = " | ||
+ | journal = {preprint}, | ||
+ | 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} | ||
+ | } | ||
+ | |||
+ | @inproceedings{moeller-et-al-19, | ||
+ | author = "M. Moeller and T. M{\" | ||
+ | title = " | ||
+ | booktitle={International Conference on Computer Vision (ICCV)}, | ||
+ | year = " | ||
+ | month= {10}, | ||
+ | address={Seoul, | ||
+ | eprint = {1904.03081}, | ||
+ | eprinttype = {arXiv}, | ||
+ | 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}}, | ||
+ | year = {2019} | ||
} | } |