Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Menu

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
spezial:bib [2019/02/14 11:42]
Bjoern Haefner
spezial:bib [2019/04/19 19:19] (current)
Vladimir Golkov
Line 7562: Line 7562:
   titleurl = {2017_ProductManifoldFilter.pdf},​   titleurl = {2017_ProductManifoldFilter.pdf},​
   topic = {Shape Analysis, Shape Matching},   topic = {Shape Analysis, Shape Matching},
-  note = {{<a href="/​_media/​spezial/​bib/​pmf_minimal.zip"​ target="​_blank">​[Code]</​a>​}},  ​+  note = {{<a href="/​_media/​spezial/​bib/​pmf_minimal.zip"​ target="​_blank">​[Code]</​a>​},​ also check the related {<a href="​https://​github.com/​zorah/​KernelMatching"​ target="​_blank">​github repository</​a>​}},  ​
 } }
  
Line 7658: Line 7658:
 } }
  
-@inproceedings{Golkov-et-al-arxiv2017-function3d,​+@article{Golkov-et-al-arxiv2017-function3d,​
   author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers},   author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers},
   title = {3D Deep Learning for Biological Function Prediction from Physical Fields},   title = {3D Deep Learning for Biological Function Prediction from Physical Fields},
   year = {2017},   year = {2017},
-%  howpublished ​= {Preprint}, +  journal ​= {arXiv preprint arXiv:​1704.04039}, 
-  ​note = {{<a href="​https://​arxiv.org/​abs/​1704.04039">​arXiv:​1704.04039</​a>​}}, +  ​eprint ​= {1704.04039},​ 
-  ​booktitle ​= {ArXiv preprint},+  ​eprinttype ​= {arXiv},
   keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning},​   keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning},​
 } }
Line 7789: Line 7789:
 @InProceedings{hazirbas18ddff,​ @InProceedings{hazirbas18ddff,​
  ​author = "Caner Hazirbas and Sebastian Georg Soyer and Maximilian Christian Staab and Laura Leal-Taixé and Daniel Cremers",​  ​author = "Caner Hazirbas and Sebastian Georg Soyer and Maximilian Christian Staab and Laura Leal-Taixé and Daniel Cremers",​
- title = {{<a href="​https://​hazirbas.github.io/​projects/​ddff/"​ target="​_blank">​Deep Depth From Focus</a>}},+ title = {{Deep Depth From Focus}},
  year = "​2018",​  year = "​2018",​
  month = "​December",​  month = "​December",​
  ​booktitle = "Asian Conference on Computer Vision (ACCV)",​  ​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://​hazirbas.github.io/​projects/​ddff/"​ target="​_blank">​Deep Depth From Focus</​a>​},​{<​a href="​https://​vision.in.tum.de/​data/​datasets/​ddff12scene"​ target="​_blank">​[dataset]</​a>​}},​
  ​keywords = {deeplearning},​  ​keywords = {deeplearning},​
 } }
Line 7951: Line 7951:
  address={Venice,​ Italy},  address={Venice,​ Italy},
   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> <a href="​https://​github.com/​NVlabs/​intrinsic3d"​ target="​_blank">​[code]</​a>​}} 
 +
 + 
 +@article{rodola2018funmaprep,​ 
 + title = {Functional Maps Representation on Product Manifolds},​ 
 + ​author =  {Rodol\`a, Emanuele and L\"​ahner,​ Zorah and Bronstein, Alex M. and Bronstein, Michael M. and Solomon, Justin}, 
 + ​journal = {{Computer Graphics Forum}}, 
 + ​volume = 38, 
 + issue = 1, 
 + year = {2019}, 
 + note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href="​https://​arxiv.org/​abs/​1809.10940"​ target="​_blank">​[arxiv]</​a>​}},​ 
 +
 + 
 +@article{Haefner2019A,​ 
 +  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.}, 
 +  journal = {arXiv preprint arXiv:​1904.03942},​ 
 +  eprint = {1904.03942},​ 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV}, 
 +  year = {2019}, 
 +  titleurl = {haefner2019.pdf},​ 
 +  note = { 
 +  {<a href="/​_media/​spezial/​bib/​haefner2019supp.pdf"​ target="​_blank">​[supp]</​a>​} 
 +}, 
 +  keywords={d-reconstruction,​photometry,​variational},​
 } }
  
  
-@article{Haefner2018,+@article{Haefner2018A,
  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.},
Line 7961: Line 7986:
  year = {2018},  year = {2018},
  ​titleurl = {haefner2018.pdf},​  ​titleurl = {haefner2018.pdf},​
- note = {{<a href="/​_media/​spezial/​bib/​haefner2018supp.pdf"​ target="​_blank">​[supp]</​a>​} + note = { 
-{<a href="​http://​arxiv.org/​abs/​1809.10097"​ target="​_blank">​[arxiv]</​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>​} 
 +},
 keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​ keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​
-} 
- 
-@article{rodola2018funmaprep,​ 
- title = {Functional Maps Representation on Product Manifolds}, 
- ​author =  {Rodol\`a, Emanuele and L\"​ahner,​ Zorah and Bronstein, Alex M. and Bronstein, Michael M. and Solomon, Justin}, 
- ​journal = {{Computer Graphics Forum (Proceedings Symposium on Geometry Processing (SGP))}}, 
- year = {2019}, 
- note = {{<a href="​https://​arxiv.org/​abs/​1809.10940"​ target="​_blank">​[arxiv]</​a>​}},​ 
 } }
  
Line 7982: Line 8002:
  year = {2018},  year = {2018},
  ​titleurl = {haefner2018cvpr.pdf},​  ​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>​} +note = { 
-{<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>​}},​ +{<a href="/​_media/​spezial/​bib/​haefner2018cvprsupp.pdf"​ target="​_blank">​[supp]</​a>​} 
- award = {Spotlight Presentation},​+{<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},​
 keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​ keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​
 } }
Line 7996: Line 8020:
  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},​
- note = {{<a href="​https://​github.com/​pengsongyou/​SRmeetsPS"​ target="​_blank">​[code]</​a>​,<a href="​http://​openaccess.thecvf.com/​content_ICCV_2017_workshops/​w43/​html/​Peng_Depth_Super-Resolution_Meets_ICCV_2017_paper.html"​ target="​_blank">​[cvf]</​a>​}},,+ note = { 
 +{<a href="​https://​github.com/​pengsongyou/​SRmeetsPS"​ target="​_blank">​[code]</​a>​
 +{<a href="​http://​openaccess.thecvf.com/​content_ICCV_2017_workshops/​w43/​html/​Peng_Depth_Super-Resolution_Meets_ICCV_2017_paper.html"​ target="​_blank">​[cvf]</​a>​} 
 +},
 keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​ keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​
 } }
Line 8003: Line 8030:
 @inproceedings{wang2017stereoDSO,​ @inproceedings{wang2017stereoDSO,​
  title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras},  title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras},
- author={Wang, R. and Schw\"​orer, M. and Cremers, ​D.},+        ​author={R. ​Wang and M. Schw\"​orer and D. Cremers},
  booktitle={International Conference on Computer Vision (ICCV)},  booktitle={International Conference on Computer Vision (ICCV)},
  year={2017},​  year={2017},​
Line 8009: Line 8036:
  address={Venice,​ Italy},  address={Venice,​ Italy},
   keywords={dso,​ visual odometry, stereo, 3D reconstruction,​ stereodso},   keywords={dso,​ visual odometry, stereo, 3D reconstruction,​ stereodso},
-        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>​}}+        note = {{<a href="/​_media/​spezial/​bib/​wang2017stereoDSO-supp.pdf"​ target="​_blank">​[supplementary]</​a>​}{<​a href="​https://​youtu.be/​A53vJO8eygw"​ target="​_blank">​[video]<​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 8108: Line 8135:
   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://​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>​}}, ​+  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 href="​https://​youtu.be/​nQHMG0c6Iew"​ target="​_blank">​[video]<​a href="​https://​vision.in.tum.de/​research/​vslam/​photometric-calibration"​ target="​_blank">​[code]<​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}
 +}
 +
 +@InProceedings{laude-et-al-transductive,​
 +  author = "E. Laude and J.-H. Lange and J. Sch{\"​u}pfer and C. Domokos and L. Leal-Taix{\'​e} and F. R. Schmidt and B. Andres and D. Cremers",​
 +  title = "​Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s",​
 +  booktitle=cvpr,​
 +  year = "​2018",​
 +  titleurl = {laude-2018-discrete-continuous.pdf}
 } }
  
Line 8137: Line 8172:
 } }
  
-@inproceedings{Kukacka-et-al-2017,​+@article{Kukacka-et-al-2017,​
   author = {J. Kukačka and V. Golkov and D. Cremers},   author = {J. Kukačka and V. Golkov and D. Cremers},
   title = {Regularization for Deep Learning: A Taxonomy},   title = {Regularization for Deep Learning: A Taxonomy},
   year = {2017},   year = {2017},
-%  howpublished ​= {Preprint}, +  journal ​= {arXiv preprint arXiv:​1710.10686}, 
-  ​note = {{<a href="​https://​arxiv.org/​abs/​1710.10686">​arXiv:​1710.10686</​a>​}}, +  ​eprint ​= {1710.10686},​ 
-  ​booktitle ​= {ArXiv preprint},+  ​eprinttype ​= {arXiv},
   keywords = {deep learning, neural networks, regularization,​ data augmentation,​ network architecture,​ loss function, dropout, residual learning, optimization,​ deeplearning},​   keywords = {deep learning, neural networks, regularization,​ data augmentation,​ network architecture,​ loss function, dropout, residual learning, optimization,​ deeplearning},​
 } }
Line 8153: Line 8188:
   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{Swazinna-et-al-ismrm2019,​
 +  author = {P. Swazinna and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},
 +  title = {Negative-Unlabeled Learning for Diffusion MRI},
 +  year = {2019},
 +  booktitle = ismrm,
 +  keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, positive-unlabeled learning, semi-supervised learning, localization,​ deeplearning},​
 } }
  
Line 8174: Line 8217:
 } }
  
-@inproceedings{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 and D. Cremers},
   title = {Clustering with Deep Learning: Taxonomy and New Methods},   title = {Clustering with Deep Learning: Taxonomy and New Methods},
   year = {2018},   year = {2018},
-%  howpublished ​= {Preprint}, +  journal ​= {arXiv preprint arXiv:​1801.07648}, 
-  ​note = {{<a href="​https://​arxiv.org/​abs/​1801.07648">​arXiv:​1801.07648</​a>​}}, +  ​eprint ​= {1801.07648},​ 
-  ​booktitle ​= {ArXiv preprint},+  ​eprinttype ​= {arXiv},  
   keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning},​   keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning},​
 } }
Line 8267: Line 8310:
 } }
  
-@InProceedings{laude-et-al-transductive,​ +
-  author = "E. Laude and J.-H. Lange and J. Sch{\"​u}pfer and C. Domokos and L. Leal-Taix{\'​e} and F. R. Schmidt and B. Andres and D. Cremers",​ +
-  title = "​Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s",​ +
-  booktitle=cvpr,​ +
-  year = "​2018",​ +
-  titleurl = {laude-2018-discrete-continuous.pdf} +
-}+
 @InProceedings{ @InProceedings{
   author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel",​   author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel",​
Line 8306: Line 8343:
   author = "X. Gao and R. Wang and N. Demmel and D. Cremers",​   author = "X. Gao and R. Wang and N. Demmel and D. Cremers",​
   title = "LDSO: Direct Sparse Odometry with Loop Closure",​   title = "LDSO: Direct Sparse Odometry with Loop Closure",​
-  booktitle = iros,+  booktitle = "iros",
   arXiv = "​arXiv:​1808.01111",​   arXiv = "​arXiv:​1808.01111",​
   year = "​2018",​   year = "​2018",​
   month = "​October",​   month = "​October",​
-  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>​}},​+  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 href="​https://​vision.in.tum.de/​research/​vslam/​ldso"​ target="​_blank">​[project]</​a>​}},​
   keywords = {dso, ldso}   keywords = {dso, ldso}
 } }
Line 8323: Line 8360:
 } }
  
-@inproceedings{Vasilev-et-al-2018,​+@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},   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},​   title = {{q}-{S}pace Novelty Detection with Variational Autoencoders},​
   year = {2018},   year = {2018},
-%  howpublished ​= {Preprint}, +  journal ​= {arXiv preprint arXiv:​1806.02997}, 
-  ​note = {{<a href="​https://​arxiv.org/​abs/​1806.02997">​arXiv:​1806.02997</​a>​}}, +  ​eprint ​= {1806.02997},​ 
-  ​booktitle ​= {ArXiv preprint},+  ​eprinttype ​= {arXiv},
   keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning,​ biomed},   keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning,​ biomed},
 } }
Line 8366: Line 8403:
   author = "N. Yang and R. Wang and J. Stueckler and D. Cremers",​   author = "N. Yang and R. Wang and J. Stueckler and D. Cremers",​
   title = "Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry",​   title = "Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry",​
-  booktitle ​   = eccv,+  booktitle ​   = "eccv",
   year = "​2018",​   year = "​2018",​
   month = "​September",​   month = "​September",​
Line 8498: Line 8535:
   note = {{<a href="​https://​arxiv.org/​abs/​1902.01785">​arXiv</​a>​}}   note = {{<a href="​https://​arxiv.org/​abs/​1902.01785">​arXiv</​a>​}}
 } }
 +
 +@phdthesis{usenko_phd,​
 + author = "​Usenko,​ Vladyslav",​
 + title = "​Visual-Inertial Navigation for Autonomous Vehicles",​
 + type = "​Dissertation",​
 + school = "​Technische Universität München",​
 + address = "​München",​
 + year = 2019,
 +        note = {{<a href="​http://​mediatum.ub.tum.de/?​id=1454207">​library link</​a>​}}
 +}
 +
 +@inproceedings{bylow2019combining,​
 + title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models},
 + author={Bylow,​ E. and Maier, R. and Kahl, F. and Olsson, C.},
 + booktitle={Scandinavian Conference on Image Analysis (SCIA)},
 + year={2019},​
 + month={June},​
 + address={Norrk{\"​o}ping,​ Sweden},
 +  keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometric-stereo}
 +}
 +
 +@InProceedings{laude-wu-cremers-aistats-19,​
 +  author = "E. Laude and T. Wu and D. Cremers",​
 +  title = {Optimization of Inf-Convolution Regularized Nonconvex Composite Problems},
 +  booktitle = {International Conference on Artificial
 +Intelligence and Statistics (AISTATS)},
 +  year = "​2019",​
 +  titleurl = {laude-wu-cremers-aistats-19.pdf}
 +}
 +
 +@InProceedings{moellenh-cvpr-19,​
 +  author = {T. M{\"​o}llenhoff and D. Cremers},
 +  title = {Lifting Vectorial Variational Problems: A Natural Formulation based on
 +Geometric Measure Theory and Discrete Exterior Calculus},
 +  booktitle=cvpr,​
 +  year = "​2019",​
 +  titleurl = {moellenh-cvpr-19.pdf},​
 +  award = {Oral Presentation}
 +}
 +
 +@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>​}}
 +}
 +
 +@InProceedings{usenko19nfr,​
 +  author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers",​
 +  title = "​Visual-Inertial Mapping with Non-Linear Factor Recovery",​
 +  eprint = {1904.06504},​
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle={arXiv:​1904.06504},​
 +  year = "​2019",​
 +  keywords = nfr
 +}
 +
 +@InProceedings{wang19DirectShape,​
 +  author = "R. Wang and N. Yang and J. Stueckler and D. Cremers",​
 +  title = "​DirectShape:​ Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation",​
 +  year = "​2019",​
 +  keywords = {stereo, 3D reconstruction,​ semantic SLAM, 3D object detection, scene understanding}
 +}
 +
 +@Article{Pasa-et-al-2019,​
 +author={Pasa,​ F.
 +and Golkov, V.
 +and Pfeiffer, F.
 +and Cremers, D.
 +and Pfeiffer, D.},
 +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/​s41598-019-42557-4},​
 +url={https://​www.nature.com/​articles/​s41598-019-42557-4}
 +}
 +
 +

Rechte Seite

Informatik IX
Chair for Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching

info@vision.in.tum.de