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Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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spezial:bib [2018/08/10 00:51]
Rui Wang
spezial:bib [2018/10/18 16:18]
PD Dr. habil. Rudolph Triebel
Line 7034: Line 7034:
   booktitle = iros,   booktitle = iros,
   month = sept,   month = sept,
-  year = {2015}, +  year = {2015}
-  note = {to appear}+
 } }
  
Line 7502: Line 7501:
   month = mar,   month = mar,
   titleurl = {engel_et_al_pami2018.pdf},   titleurl = {engel_et_al_pami2018.pdf},
-  keywords={mono-ds,dso}+  keywords={mono-ds,dso,directsparseodometry}
 } }
  
Line 7784: Line 7783:
  year = "2017",  year = "2017",
  booktitle = iccv,  booktitle = iccv,
- note = {{<a href="https://arxiv.org/abs/1704.03488" target="_blank">[arxiv]</a>}},+ note = {{<a href="https://arxiv.org/abs/1704.03488" target="_blank">[arxiv]</a>}, {<a href="https://github.com/tum-vision/learn_prox_ops" target="_blank">[code]</a>}},
  keywords = {deeplearning},  keywords = {deeplearning},
 } }
  
-@InProceedings{hazirbas17ddff+@InProceedings{hazirbas18ddff
- author = "Caner Hazirbas and + author = "Caner Hazirbas and Sebastian Georg Soyer and Maximilian Christian Staab and Laura Leal-Taixé and Daniel Cremers",
-          Laura Leal-Taixé and +
-          Daniel Cremers",+
  title = {{<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>}},  title = {{<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>}},
- year = "2017", + year = "2018", 
- booktitle = "ArXiv preprint arXiv:1704.01085",+ month = "December", 
 + booktitle = "Asian Conference on Computer Vision (ACCV)",
  note = {{<a href="https://arxiv.org/abs/1704.01085" target="_blank">[arxiv]</a>}, {<a href="https://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}},  note = {{<a href="https://arxiv.org/abs/1704.01085" target="_blank">[arxiv]</a>}, {<a href="https://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}},
  keywords = {deeplearning},  keywords = {deeplearning},
Line 7954: Line 7952:
   keywords={rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d},   keywords={rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d},
   note = {{<a href="/_media/spezial/bib/maier2017intrinsic3d_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/maier2017intrinsic3d_poster.pdf" target="_blank">[poster]</a> <a href="/data/datasets/intrinsic3d" target="_blank">[dataset]</a>}}   note = {{<a href="/_media/spezial/bib/maier2017intrinsic3d_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/maier2017intrinsic3d_poster.pdf" target="_blank">[poster]</a> <a href="/data/datasets/intrinsic3d" target="_blank">[dataset]</a>}}
 +}
 +
 +
 +@article{Haefner2018,
 + title = {Photometric Depth Super-Resolution},
 + author =  {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.},
 + journal = {{Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Special Issue on RGB-D Vision: Methods and Applications}},
 + year = {2018},
 + titleurl = {haefner2018.pdf},
 + note = {{<a href="/_media/spezial/bib/haefner2018supp.pdf" target="_blank">[supp]</a>}
 +{<a href="http://arxiv.org/abs/1809.10097" target="_blank">[arxiv]</a>}},
 +}
 +
 +
 +@inproceedings{Haefner2018CVPR,
 + title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading},
 + author =  {Haefner, B. and Quéau, Y. and Möllenhoff, T. and Cremers, D.},
 + booktitle = {I{EEE} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition
 +    (CVPR)},
 + year = {2018},
 + titleurl = {haefner2018cvpr.pdf},
 +note = {{<a href="/_media/spezial/bib/haefner2018cvprsupp.pdf" target="_blank">[supp]</a>} {<a href="https://github.com/BjoernHaefner/DepthSRfromShading" target="_blank">[code]</a>}
 +{<a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html" target="_blank">[cvf]</a>}{<a href="https://youtu.be/WrEKJeK-Wow?t=52m25s" target="_blank">[video]</a>}},
 + award = {Spotlight Presentation},
 } }
  
Line 7975: Line 7997:
  month={October},  month={October},
  address={Venice, Italy},  address={Venice, Italy},
-  keywords={dso, visual odometry, stereo, 3D reconstruction}, +  keywords={dso, visual odometry, stereo, 3D reconstruction, stereodso}, 
-        note = {{<a href="/_media/spezial/bib/wang2017stereoDSO-supp.pdf" target="_blank">[supplementary]</a>}{<a href="https://vision.in.tum.de/research/vslam/stereo-dso" target="_blank">[project]</a>}{<a href="https://youtu.be/A53vJO8eygw" target="_blank">[video]</a><a href="https://arxiv.org/abs/1708.07878" target="_blank">[arxiv]</a>}}+        note = {{<a href="/_media/spezial/bib/wang2017stereoDSO-supp.pdf" target="_blank">[supplementary]</a>}{<a href="https://youtu.be/A53vJO8eygw" target="_blank">[video]</a><a href="https://arxiv.org/abs/1708.07878" target="_blank">[arxiv]</a>}{<a href="https://vision.in.tum.de/research/vslam/stereo-dso" target="_blank">[project]</a>}}
 } }
  
Line 8006: Line 8028:
   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     = {Conference on Robot Learning (CoRL)},   booktitle     = {Conference on Robot Learning (CoRL)},
-  year          = {2017}, +  year          = {2017}
-  note          = {to appear}+
 } }
  
Line 8076: Line 8097:
   titleurl = {bergmann17calibration.pdf},   titleurl = {bergmann17calibration.pdf},
   keywords={visual odometry, calibration, SLAM, direct, dso, photometric-calibration},   keywords={visual odometry, calibration, SLAM, direct, dso, photometric-calibration},
-  note = {{This paper was also selected by ICRA'18 for presentation at the conference.<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a><a href="https://arxiv.org/abs/1710.02081" target="_blank">[arxiv]</a><a href="https://youtu.be/nQHMG0c6Iew" target="_blank">[video]</a><a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[code]</a>}}, +  note = {{This paper was also selected by ICRA'18 for presentation at the conference.<a href="https://arxiv.org/abs/1710.02081" target="_blank">[arxiv]</a><a href="https://youtu.be/nQHMG0c6Iew" target="_blank">[video]</a><a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[code]</a><a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a>}}, 
   award = {ICRA'18 Best Vision Paper Award - Finalist}   award = {ICRA'18 Best Vision Paper Award - Finalist}
 } }
Line 8131: Line 8152:
 } }
  
 +
 +@inproceedings{Do-et-al-2018-pre-miRNA,
 +  author = {B. T. Do and V. Golkov and G. E. G\"urel and D. Cremers},
 +  title = {Precursor microRNA Identification Using Deep Convolutional Neural Networks},
 +  year = {2018},
 +%  howpublished = {Preprint},
 +  note = {{<a href="https://www.biorxiv.org/content/early/2018/09/16/414656">bioRxiv:414656</a>}},
 +  booktitle = {bioRxiv preprint},
 +  keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, biology, gene regulation},
 +}
  
 @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 = "Associative Deep Clustering - Training a Classification Network with no Labels",   title = "Associative Deep Clustering - Training a Classification Network with no Labels",
-  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, Embeddings, deeplearning, associative_learning},   keywords={Clustering, Embeddings, deeplearning, associative_learning},
 } }
 +
 +
 +
 +
 +
 +
 +
  
 @InProceedings{mayer18synthetic, @InProceedings{mayer18synthetic,
Line 8157: Line 8195:
 booktitle= ijcv, booktitle= ijcv,
 year = {2018}, year = {2018},
 +month = {September},
 eprint = {arXiv:1801.06397}, eprint = {arXiv:1801.06397},
 note = {{<a href="https://arxiv.org/abs/1801.06397" target="_blank">arxiv</a>}}, note = {{<a href="https://arxiv.org/abs/1801.06397" target="_blank">arxiv</a>}},
 keywords = {deeplearning} keywords = {deeplearning}
 } }
 +
  
 @InProceedings{Frerix-et-al-18, @InProceedings{Frerix-et-al-18,
Line 8169: Line 8209:
   year = "2018",   year = "2018",
   note = {{<a href="https://arxiv.org/abs/1706.04638">arXiv:1706.04638</a>, <a href="https://github.com/tfrerix/proxprop">code</a>}}   note = {{<a href="https://arxiv.org/abs/1706.04638">arXiv:1706.04638</a>, <a href="https://github.com/tfrerix/proxprop">code</a>}}
-} 
- 
-@inproceedings{Haefner2018CVPR, 
- title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading}, 
- author =  {Haefner, B. and Quéau, Y. and Möllenhoff, T. and Cremers, D.}, 
- booktitle = {I{EEE} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition 
-    (CVPR)}, 
- year = {2018}, 
- titleurl = {haefner2018cvpr.pdf}, 
-note = {{<a href="/_media/spezial/bib/haefner2018cvprsupp.pdf" target="_blank">[supp]</a>} {<a href="https://github.com/BjoernHaefner/DepthSRfromShading" target="_blank">[code]</a>} 
-{<a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html" target="_blank">[cvf]</a>}{<a href="https://youtu.be/WrEKJeK-Wow?t=52m25s" target="_blank">[video]</a>}}, 
- award = {Spotlight Presentation}, 
 } }
  
Line 8239: Line 8267:
   title = "Semantic Labeling of Indoor Environments from {3D RGB} Maps",   title = "Semantic Labeling of Indoor Environments from {3D RGB} Maps",
   booktitle=icra,   booktitle=icra,
-  year="2018"+  year="2018"
-  note= to appear+
 } }
 @InProceedings{stumberg18vidso, @InProceedings{stumberg18vidso,
Line 8272: Line 8299:
   year = "2018",   year = "2018",
   month = "October",   month = "October",
-  note = {{<a href="https://arxiv.org/abs/1808.01111" target="_blank">[arxiv]</a>}},+  note = {{<a href="https://arxiv.org/abs/1808.01111" target="_blank">[arxiv]}{</a><a href="https://youtu.be/LEvOSzyZUvc" target="_blank">[video]</a>}{<a href="https://github.com/tum-vision/LDSO" target="_blank">[code]</a>}{</a><a href="https://vision.in.tum.de/research/vslam/ldso" target="_blank">[project]</a>}},
   keywords = {dso, ldso}   keywords = {dso, ldso}
 } }
Line 8333: Line 8360:
   award = {Oral Presentation},   award = {Oral Presentation},
   note = {{<a href="https://arxiv.org/abs/1807.02570" target="_blank">[arxiv]</a>},{<a href="/_media/spezial/bib/yang2018dvso-supp.pdf"target="_blank">[supplementary]</a>},{<a href="https://youtu.be/sLZOeC9z_tw"target="_blank">[video]</a>}},   note = {{<a href="https://arxiv.org/abs/1807.02570" target="_blank">[arxiv]</a>},{<a href="/_media/spezial/bib/yang2018dvso-supp.pdf"target="_blank">[supplementary]</a>},{<a href="https://youtu.be/sLZOeC9z_tw"target="_blank">[video]</a>}},
 +  keywords = {dso, dvso, deep learning, deeplearning, monocular depth estimation, semi-supervised learning, slam, visual odometry}
 } }
  
Line 8359: Line 8387:
  
 @article{lingni18wcnn, @article{lingni18wcnn,
-  author={L. Ma, and J. St\"uckler and T. Wu and D. Cremers},+  author={L. Ma, and J. Stueckler and T. Wu and D. Cremers},
   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\"urzl and R. Triebel},
 + 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="https://github.com/johny-c/incremental-label-propagation" target="_blank">[code]</a>} },
 +}
 +
 +@InProceedings{estellers2018,
 +  author = "V. Estellers and F. Schmidt and D. Cremers",
 +  title = "Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis",
 +  booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)},
 +  year = "2018",
 +  month = "September",
 +  keywords = "rgb-d",
 +  topic = "Shape Analysis",
 +  award = {Received the Best Paper Award at 3DV 2018},
 +  note = {{<a href="https://bitbucket.org/ginie/subdivision_surfaces_3dv2018/src/master/" target="_blank">[Code]</a>}}
 +
 +}
 +
 +@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.}
 +}

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More