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spezial:bib [2019/06/25 15:31]
Thomas Möllenhoff
spezial:bib [2019/09/17 16:28] (current)
Bjoern Haefner
Line 7969: Line 7969:
 } }
  
-@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,​ USA}, 
 +  year = {2020}, 
 +  award = {}, 
 +  titleurl = {sang2020wacv.pdf},​ 
 +
 + 
 +@inproceedings{haefner20193dv,​ 
 +  title = {Photometric Segmentation:​ Simultaneous Photometric Stereo and Masking}, 
 +  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="/​_media/​spezial/​bib/​haefner20193dvposter.pdf"​ target="​_blank">​[poster]</​a>​} 
 +}, 
 +
 + 
 +@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.},
-  ​journal ​= {arXiv preprint arXiv:​1904.03942},+  ​booktitle={International Conference on Computer Vision (ICCV)}, 
 +  month={October},​ 
 +  address={Seoul,​ South Korea},
   eprint = {1904.03942},​   eprint = {1904.03942},​
   eprinttype = {arXiv},   eprinttype = {arXiv},
Line 7985: Line 8012:
  
  
-@article{Haefner2018A,+@article{haefner2019tpami,
  title = {Photometric Depth Super-Resolution},​  title = {Photometric Depth Super-Resolution},​
  ​author =  {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.},  ​author =  {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.},
  ​journal = {{IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}},  ​journal = {{IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}},
  year = {2019},  year = {2019},
- ​titleurl = {haefner2018.pdf},​+  eprint = {1809.10097},​ 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV},  
 +titleurl = {haefner2018.pdf},​
  note = {  note = {
 {<a href="/​_media/​spezial/​bib/​haefner2018supp.pdf"​ target="​_blank">​[supp]</​a>​} {<a href="/​_media/​spezial/​bib/​haefner2018supp.pdf"​ target="​_blank">​[supp]</​a>​}
-{<a href="​http://​arxiv.org/​abs/​1809.10097"​ target="​_blank">​[arxiv]</​a>​} 
 {<a href="​https://​vision.in.tum.de/​data/​datasets/​photometricdepthsr"​ target="​_blank">​[project page]</​a>​} {<a href="​https://​vision.in.tum.de/​data/​datasets/​photometricdepthsr"​ target="​_blank">​[project page]</​a>​}
 +{<a href="​https://​ieeexplore.ieee.org/​document/​8738841"​ target="​_blank">​[ieeexplore]</​a>​}
 }, },
 keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​ keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​
Line 8000: Line 8030:
  
  
-@inproceedings{Haefner2018CVPR,+@inproceedings{haefner2018cvpr,
  title = {Fight ill-posedness with ill-posedness:​ Single-shot variational depth super-resolution from shading},  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.},  ​author =  {Haefner, B. and Quéau, Y. and Möllenhoff,​ T. and Cremers, D.},
Line 8009: Line 8039:
 note = { note = {
 {<a href="/​_media/​spezial/​bib/​haefner2018cvprsupp.pdf"​ target="​_blank">​[supp]</​a>​} {<a href="/​_media/​spezial/​bib/​haefner2018cvprsupp.pdf"​ target="​_blank">​[supp]</​a>​}
 +{<a href="/​_media/​spezial/​bib/​haefner2018cvprposter.pdf"​ target="​_blank">​[poster]</​a>​}
 {<a href="​https://​github.com/​BjoernHaefner/​DepthSRfromShading"​ target="​_blank">​[code]</​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="​http://​openaccess.thecvf.com/​content_cvpr_2018/​html/​Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html"​ target="​_blank">​[cvf]</​a>​}
Line 8018: Line 8049:
  
  
-@inproceedings{Peng2017,+@inproceedings{peng2017,
  title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo},  title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo},
  ​author =  {Peng, S. and Haefner, B. and Quéau, Y. and Cremers, D.},  ​author =  {Peng, S. and Haefner, B. and Quéau, Y. and Cremers, D.},
  ​booktitle = {{International Conference on Computer Vision Workshops (ICCVW)}},  ​booktitle = {{International Conference on Computer Vision Workshops (ICCVW)}},
  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},
  ​titleurl = {peng2017iccvw.pdf},​  ​titleurl = {peng2017iccvw.pdf},​
Line 8193: Line 8227:
   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,​ biomed},
 +  award = {Oral Presentation}
 } }
  
Line 8363: Line 8408:
   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:​1806.02997},​ 
-  eprint = {1806.02997},​ 
-  eprinttype = {arXiv}, 
-  keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning,​ biomed}, 
 } }
  
Line 8449: Line 8484:
 } }
  
-@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 8493:
 } }
  
-@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 8502:
   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\"​urzl and R. Triebel},  author = {I. Grixa and P. Schulz and W. St\"​urzl and R. Triebel},
  title = {Appearance-Based Along-Route Localization for Planetary Missions},  title = {Appearance-Based Along-Route Localization for Planetary Missions},
Line 8591: Line 8626:
   award = {Oral Presentation},​   award = {Oral Presentation},​
   note = {{<a href="​https://​arxiv.org/​abs/​1905.00851">​arXiv:​1905.00851</​a>​},​ {<a href="​https://​github.com/​moellenh/​vectorial-lifting">​code</​a>​},​ {<a href="​https://​youtu.be/​IyPQqqGPHws?​t=4704">​talk</​a>​}}   note = {{<a href="​https://​arxiv.org/​abs/​1905.00851">​arXiv:​1905.00851</​a>​},​ {<a href="​https://​github.com/​moellenh/​vectorial-lifting">​code</​a>​},​ {<a href="​https://​youtu.be/​IyPQqqGPHws?​t=4704">​talk</​a>​}}
-} 
- 
-@article{moeller-et-al-19,​ 
-  author = "M. Moeller and T. M{\"​o}llenhoff and D. Cremers",​ 
-  title = "​Controlling Neural Networks via Energy Dissipation",​ 
-  journal = {preprint}, 
-  year = "​2019",​ 
-  note = {{<a href="​https://​arxiv.org/​abs/​1904.03081">​arXiv</​a>​}} 
 } }
  
Line 8631: Line 8658:
   journal = {preprint},   journal = {preprint},
   year = "​2019",​   year = "​2019",​
-  note = {{<a href="​https://​arxiv.org/​abs/​1904.10097"​ target="​_blank">​[arxiv]</​a><​a href="​https://​youtu.be/​QqP6zdx5OKw"​ target="​_blank">​[video]</​a> ​Project page is under construction.}}, +  note = {{<a href="​https://​arxiv.org/​abs/​1904.10097"​ target="​_blank">​[arxiv]</​a><​a href="​https://​youtu.be/​QqP6zdx5OKw"​ target="​_blank">​[video]</​a> ​<a href="​https://​vision.in.tum.de/​research/​vslam/​direct-shape"​ target="​_blank">​[project page]</​a>​}}, 
-  keywords = {stereo, 3D reconstruction,​ semantic SLAM, 3D object detection, scene understanding}+  keywords = {stereo, 3D reconstruction,​ semantic SLAM, 3D object detection, scene understanding, direct shape}
 } }
  
Line 8652: Line 8679:
   year = "​2019",​   year = "​2019",​
   note = {{<a href="​https://​arxiv.org/​abs/​1905.04730">​arXiv:​1905.04730</​a>,​ <a href="​https://​github.com/​moellenh/​flatgan">​code</​a>​},​ <a href="​https://​www.facebook.com/​icml.imls/​videos/​713631379054038/">​talk</​a>​},​   note = {{<a href="​https://​arxiv.org/​abs/​1905.04730">​arXiv:​1905.04730</​a>,​ <a href="​https://​github.com/​moellenh/​flatgan">​code</​a>​},​ <a href="​https://​www.facebook.com/​icml.imls/​videos/​713631379054038/">​talk</​a>​},​
-  award = {Full Oral Presentation}+  award = {Full Oral Presentation}, 
 +  month={6}
 } }
  
Line 8665: Line 8693:
 @article{gn-net-19,​ @article{gn-net-19,​
   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 = "​GN-Net:​ The Gauss-Newton Loss for Deep Direct SLAM",+  title = "​GN-Net:​ The Gauss-Newton Loss for Multi-Weather Relocalization",
   journal = {preprint},   journal = {preprint},
   year = "​2019",​   year = "​2019",​
-  note = {{<a href="​https://​arxiv.org/​abs/​1904.11932"​ target="​_blank">​[arxiv]</​a><​a href="​https://​youtu.be/​GleEp0PqAv0" target="​_blank">​[video]</​a><​a href="​https://​vision.in.tum.de/​research/​vslam/​gn-net"​ target="​_blank">​[project page]</​a>​}},​+  note = {{<a href="​https://​arxiv.org/​abs/​1904.11932"​ target="​_blank">​[arxiv]</​a><​a href="​https://​youtu.be/​gcbKeKX2eiE" target="​_blank">​[video]</​a><​a href="​https://​vision.in.tum.de/​research/​vslam/​gn-net"​ target="​_blank">​[project page]</​a><​a href="/​_media/​research/​vslam/​gn-net/​gn-net-supplementary.pdf"​ target="​_blank">​[supplementary]</​a>​}},​
   keywords = {gn-net}   keywords = {gn-net}
 } }
Line 8678: Line 8706:
   year = "​2019",​   year = "​2019",​
   note = {{<a href="​https://​arxiv.org/​abs/​1905.12512">​arXiv</​a>​}}   note = {{<a href="​https://​arxiv.org/​abs/​1905.12512">​arXiv</​a>​}}
 +}
 +
 +@article{control-across-weathers-19,​
 +  author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe",​
 +  title = "​Towards Generalizing Sensorimotor Control Across Weather Conditions",​
 +  journal = {preprint},
 +  year = "​2019",​
 +  note = {{<a href="​https://​arxiv.org/​abs/​1907.11025"​ target="​_blank">​[arxiv]</​a>​}}
 +}
 +
 +@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\"​affer},​
 +  booktitle = icra,
 +  year = {2019}
 +}
 +
 +@inproceedings{moeller-et-al-19,​
 +  author = "M. Moeller and T. M{\"​o}llenhoff and D. Cremers",​
 +  title = "​Controlling Neural Networks via Energy Dissipation",​
 +  booktitle={International Conference on Computer Vision (ICCV)},
 +  year = "​2019",​
 +  month= {10},
 +  address={Seoul,​ South Korea},
 +  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}
 } }

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