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spezial:bib [2018/08/10 00:50] Rui Wang |
spezial:bib [2018/10/18 16:18] PD Dr. habil. Rudolph Triebel |
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booktitle = iros, | booktitle = iros, | ||
month = sept, | month = sept, | ||
- | year = {2015}, | + | year = {2015} |
- | note = {to appear} | + | |
} | } | ||
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month = mar, | month = mar, | ||
titleurl = {engel_et_al_pami2018.pdf}, | titleurl = {engel_et_al_pami2018.pdf}, | ||
- | keywords={mono-ds, | + | keywords={mono-ds, |
} | } | ||
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year = " | year = " | ||
| | ||
- | note = {{<a href=" | + | note = {{<a href=" |
| | ||
} | } | ||
- | @InProceedings{hazirbas17ddff, | + | @InProceedings{hazirbas18ddff, |
- | | + | |
- | | + | |
- | | + | |
title = {{<a href=" | title = {{<a href=" | ||
- | year = "2017", | + | year = "2018", |
- | | + | month = " |
+ | | ||
note = {{<a href=" | note = {{<a href=" | ||
| | ||
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keywords={rgb-d, | keywords={rgb-d, | ||
note = {{<a href="/ | note = {{<a href="/ | ||
+ | } | ||
+ | |||
+ | |||
+ | @article{Haefner2018, | ||
+ | title = {Photometric Depth Super-Resolution}, | ||
+ | | ||
+ | | ||
+ | year = {2018}, | ||
+ | | ||
+ | note = {{<a href="/ | ||
+ | {<a href=" | ||
+ | } | ||
+ | |||
+ | |||
+ | @inproceedings{Haefner2018CVPR, | ||
+ | title = {Fight ill-posedness with ill-posedness: | ||
+ | | ||
+ | | ||
+ | (CVPR)}, | ||
+ | year = {2018}, | ||
+ | | ||
+ | note = {{<a href="/ | ||
+ | {<a href=" | ||
+ | award = {Spotlight Presentation}, | ||
} | } | ||
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month={October}, | month={October}, | ||
address={Venice, | address={Venice, | ||
- | keywords={dso, | + | keywords={dso, |
- | note = {{<a href="/ | + | note = {{<a href="/ |
} | } | ||
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title = {How Robots Learn to Classify New Objects Trained from Small Data Sets}, | title = {How Robots Learn to Classify New Objects Trained from Small Data Sets}, | ||
booktitle | booktitle | ||
- | year = {2017}, | + | year = {2017} |
- | note = {to appear} | + | |
} | } | ||
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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' | ||
} | } | ||
Line 8131: | Line 8152: | ||
} | } | ||
+ | |||
+ | @inproceedings{Do-et-al-2018-pre-miRNA, | ||
+ | author = {B. T. Do and V. Golkov and G. E. G\" | ||
+ | title = {Precursor microRNA Identification Using Deep Convolutional Neural Networks}, | ||
+ | year = {2018}, | ||
+ | % howpublished = {Preprint}, | ||
+ | note = {{<a href=" | ||
+ | booktitle = {bioRxiv preprint}, | ||
+ | keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, | ||
+ | } | ||
@inproceedings{Aljalbout-et-al-2018, | @inproceedings{Aljalbout-et-al-2018, | ||
Line 8145: | Line 8176: | ||
author = "P. Haeusser and J. Plapp and V. Golkov and E. Aljalbout and D. Cremers", | author = "P. Haeusser and J. Plapp and V. Golkov and E. Aljalbout and D. Cremers", | ||
title = " | title = " | ||
- | booktitle = "under review" | + | booktitle = {Proc. of the German Conference on Pattern Recognition (GCPR)}, |
- | year = "2018", | + | year = {2018}, |
- | month = "November", | + | month = "October", |
titleurl = {haeusser18associative.pdf}, | titleurl = {haeusser18associative.pdf}, | ||
keywords={Clustering, | keywords={Clustering, | ||
} | } | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
@InProceedings{mayer18synthetic, | @InProceedings{mayer18synthetic, | ||
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booktitle= ijcv, | booktitle= ijcv, | ||
year = {2018}, | year = {2018}, | ||
+ | month = {September}, | ||
eprint = {arXiv: | eprint = {arXiv: | ||
note = {{<a href=" | note = {{<a href=" | ||
keywords = {deeplearning} | keywords = {deeplearning} | ||
} | } | ||
+ | |||
@InProceedings{Frerix-et-al-18, | @InProceedings{Frerix-et-al-18, | ||
Line 8169: | Line 8209: | ||
year = " | year = " | ||
note = {{<a href=" | note = {{<a href=" | ||
- | } | ||
- | |||
- | @inproceedings{Haefner2018CVPR, | ||
- | title = {Fight ill-posedness with ill-posedness: | ||
- | | ||
- | | ||
- | (CVPR)}, | ||
- | year = {2018}, | ||
- | | ||
- | note = {{<a href="/ | ||
- | {<a href=" | ||
- | award = {Spotlight Presentation}, | ||
} | } | ||
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title = " | title = " | ||
booktitle=icra, | booktitle=icra, | ||
- | year=" | + | year=" |
- | note= to appear | + | |
} | } | ||
@InProceedings{stumberg18vidso, | @InProceedings{stumberg18vidso, | ||
Line 8272: | Line 8299: | ||
year = " | year = " | ||
month = " | month = " | ||
- | note = {{<a href=" | + | note = {{<a href=" |
keywords = {dso, ldso} | keywords = {dso, ldso} | ||
} | } | ||
Line 8333: | Line 8360: | ||
award = {Oral Presentation}, | award = {Oral Presentation}, | ||
note = {{<a href=" | note = {{<a href=" | ||
+ | keywords = {dso, dvso, deep learning, deeplearning, | ||
} | } | ||
Line 8359: | Line 8387: | ||
@article{lingni18wcnn, | @article{lingni18wcnn, | ||
- | author={L. Ma, and J. St\" | + | author={L. Ma, and J. Stueckler |
title={Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform}, | title={Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform}, | ||
year={2018}, | year={2018}, | ||
Line 8368: | Line 8396: | ||
} | } | ||
+ | @InProceedings{sundermeyer2018eccv, | ||
+ | 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}, | ||
+ | booktitle = eccv, | ||
+ | year = {2018}, | ||
+ | month = {September}, | ||
+ | award = {Best Paper Award}, | ||
+ | } | ||
+ | |||
+ | @InProceedings{denninger18iros, | ||
+ | author = {M. Denninger and R. Triebel}, | ||
+ | title = {Persistent Anytime Learning of Objects from Unseen Classes }, | ||
+ | booktitle = iros, | ||
+ | address = {Madrid, Spain}, | ||
+ | year = 2018, | ||
+ | month = {Oct.}, | ||
+ | award = {Best Cognitive Robotics Paper Finalist}, | ||
+ | } | ||
+ | @InProceedings{grixa18iros, | ||
+ | author = {I. Grixa and P. Schulz and W. St\" | ||
+ | title = {Appearance-Based Along-Route Localization for Planetary Missions}, | ||
+ | booktitle = iros, | ||
+ | address = {Madrid, Spain}, | ||
+ | year = 2018, | ||
+ | month = {Oct.}, | ||
+ | } | ||
+ | |||
+ | @InProceedings{chiotellis2018ilp, | ||
+ | author = {I. Chiotellis and F. Zimmermann and D. Cremers and R. Triebel}, | ||
+ | title = {Incremental Semi-Supervised Learning from Streams for Object Classification}, | ||
+ | booktitle = iros, | ||
+ | address = {Madrid, Spain}, | ||
+ | year = 2018, | ||
+ | month = {Oct.}, | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @InProceedings{estellers2018, | ||
+ | author = "V. Estellers and F. Schmidt and D. Cremers", | ||
+ | title = " | ||
+ | booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)}, | ||
+ | year = " | ||
+ | month = " | ||
+ | keywords = " | ||
+ | topic = "Shape Analysis", | ||
+ | award = {Received the Best Paper Award at 3DV 2018}, | ||
+ | note = {{<a href=" | ||
+ | |||
+ | } | ||
+ | |||
+ | @InProceedings{brucker18pose, | ||
+ | author = {M. Brucker and M. Durner and Z.-C. Márton and F. Bálint-Benczédi and M. Sundermeyer and R. Triebel}, | ||
+ | title = {{6DoF} Pose Estimation for Industrial Manipulation based on Synthetic Data}, | ||
+ | booktitle = {International Symposium on Experimental Robotics (ISER) }, | ||
+ | address = {Buenos Aires, Argentina}, | ||
+ | year = 2018, | ||
+ | month = {Nov.} | ||
+ | } | ||
+ | @InProceedings{nissler18simultaneous, | ||
+ | author = {C. Nissler and M. Durner and Z.-C. Márton and R. Triebel}, | ||
+ | title = {Simultaneous Calibration and Mapping}, | ||
+ | booktitle = {International Symposium on Experimental Robotics (ISER) }, | ||
+ | address = {Buenos Aires, Argentina}, | ||
+ | year = 2018, | ||
+ | month = {Nov.} | ||
+ | } |