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spezial:bib [2019/03/14 17:41]
vestner
spezial:bib [2019/05/19 14:46] (current)
Thomas Möllenhoff
Line 3713: Line 3713:
  year = {2009},  year = {2009},
  ​address = {Jena, Germany},  ​address = {Jena, Germany},
 + ​keywords = {optical-flow},​
 titleurl = {mitzel_et_al_dagm09.pdf} titleurl = {mitzel_et_al_dagm09.pdf}
 } }
Line 3943: Line 3944:
   address = {Germany},   address = {Germany},
   month = jul,   month = jul,
 +  keywords = {optical-flow},​
   titleurl = {nieuwenhuis_PhDThesis.pdf},​   titleurl = {nieuwenhuis_PhDThesis.pdf},​
 } }
Line 4444: Line 4446:
 pages ={1449--1462},​ pages ={1449--1462},​
 topic={optical flow}, topic={optical flow},
-keywords = {optical flow},+keywords = {optical ​flow,​optical-flow},
   titleurl = {kybic_nieuwenhuis.pdf}   titleurl = {kybic_nieuwenhuis.pdf}
 } }
Line 4616: Line 4618:
   booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)},   booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
   address = {Prag, Czech Republic},   address = {Prag, Czech Republic},
 +  keywords = {optical-flow},​
   titleurl = {2011_SKC_ICASSP.pdf}   titleurl = {2011_SKC_ICASSP.pdf}
 } }
Line 4951: Line 4954:
 @incollection{Golkov-et-al-cdmri14,​ @incollection{Golkov-et-al-cdmri14,​
   author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers},   author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers},
-  title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate},​+  title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per {q}-Space Coordinate},​
   booktitle = {Computational Diffusion MRI},    booktitle = {Computational Diffusion MRI}, 
   publisher = {Springer},   publisher = {Springer},
Line 4961: Line 4964:
 @inproceedings{Golkov-et-al-esmrmb13-comparison,​ @inproceedings{Golkov-et-al-esmrmb13-comparison,​
   author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},   author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},
-  title = {Effects of Low-Rank Constraints,​ Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation},​+  title = {Effects of Low-Rank Constraints,​ Line-Process Denoising, and {q}-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation},​
   booktitle = esmrmb,   booktitle = esmrmb,
   year = 2013,   year = 2013,
Line 5012: Line 5015:
 @inproceedings{Golkov-et-al-ismrm13,​ @inproceedings{Golkov-et-al-ismrm13,​
   author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl},   author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl},
-  title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing},+  title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with {q}-Space Compressed Sensing},
   booktitle = ismrm,   booktitle = ismrm,
   year = 2013,   year = 2013,
Line 7283: Line 7286:
   url          = "​http://​lmb.informatik.uni-freiburg.de//​Publications/​2016/​MIFDB16",​   url          = "​http://​lmb.informatik.uni-freiburg.de//​Publications/​2016/​MIFDB16",​
   ​   ​
-  keywords = {deeplearning,​ scene-flow}+  keywords = {deeplearning,​ scene-flow, optical-flow}
 } }
  
Line 7570: Line 7573:
 @inproceedings{dzitsiuk2017icra,​ @inproceedings{dzitsiuk2017icra,​
  title={De-noising,​ Stabilizing and Completing {3D} Reconstructions On-the-go using Plane Priors},  title={De-noising,​ Stabilizing and Completing {3D} Reconstructions On-the-go using Plane Priors},
- author={Dzitsiuk, ​M. and Sturm, ​J. and Maier, ​R. and Ma, L. and Cremers, ​D.},+ author={M. ​Dzitsiuk ​and J. Sturm and R. Maier and L. Ma and D. Cremers},
  booktitle={International Conference on Robotics and Automation (ICRA)},  booktitle={International Conference on Robotics and Automation (ICRA)},
  year={2017},​  year={2017},​
Line 7658: Line 7661:
 } }
  
-@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 7792:
 @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 7923: Line 7926:
 @inproceedings{maier2017efficient,​ @inproceedings{maier2017efficient,​
  title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction},​  title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction},​
- author={Maier, ​R. and Schaller, ​R. and Cremers, ​D.},+ author={R. ​Maier and R. Schaller ​and D. Cremers},
  booktitle={British Machine Vision Conference (BMVC)},  booktitle={British Machine Vision Conference (BMVC)},
  year={2017},​  year={2017},​
Line 7934: Line 7937:
 @inproceedings{golyanik2017multiframe,​ @inproceedings{golyanik2017multiframe,​
  title={Multiframe Scene Flow with Piecewise Rigid Motion},  title={Multiframe Scene Flow with Piecewise Rigid Motion},
- author={Golyanik, ​V. and Kim, K. and Maier, ​R. and Nie{\ss}ner, ​M. and Stricker, ​D. and Kautz, ​J.},+ author={V. ​Golyanik ​and K. Kim and R. Maier and M. Niessner ​and D. Stricker ​and J. Kautz},
  booktitle={International Conference on 3D Vision (3DV)},  booktitle={International Conference on 3D Vision (3DV)},
  year={2017},​  year={2017},​
Line 7945: Line 7948:
 @inproceedings{maier2017intrinsic3d,​ @inproceedings{maier2017intrinsic3d,​
  title={Intrinsic3D:​ High-Quality {3D} Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting},  title={Intrinsic3D:​ High-Quality {3D} Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting},
- author={Maier, ​R. and Kim, K. and Cremers, ​D. and Kautz, ​J. and Nie{\ss}ner, ​M.},+ author={R. ​Maier and K. Kim and D. Cremers ​and J. Kautz and M. Niessner},
  booktitle={International Conference on Computer Vision (ICCV)},  booktitle={International Conference on Computer Vision (ICCV)},
  year={2017},​  year={2017},​
Line 7952: Line 7955:
   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>​ <a href="​https://​github.com/​NVlabs/​intrinsic3d"​ target="​_blank">​[code]</​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 7989:
  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="​https://​vision.in.tum.de/​data/​datasets/​photometricdepthsr"​ target="​_blank">​[project page]</​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 8005:
  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 8023:
  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 8110: Line 8140:
   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>​}}, ​   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 8175:
 } }
  
-@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 8182: Line 8220:
 } }
  
-@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 M. Strobel ​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 8217: Line 8255:
 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, optical-flow}
 } }
  
Line 8275: Line 8313:
 } }
  
-@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 8331: Line 8363:
 } }
  
-@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 8517: Line 8549:
 } }
  
 +@article{roy2019noninvasive,​
 + title={A Non-invasive {3D} Body Scanner and Software Tool towards Analysis of Scoliosis},
 + author={S. Roy and A.T.D. Gruenwald and A. Alves-Pinto and R. Maier and D. Cremers and D. Pfeiffer and R. Lampe},
 + journal={BioMed Research International (BMRI)},
 + year={2019},​
 + month={May},​
 +  keywords={rgb-d,​reconstruction,​3d-reconstruction,​3d-scanning,​medical,​medical imaging},
 +  note = {{<a href="​http://​downloads.hindawi.com/​journals/​bmri/​2019/​4715720.pdf"​ target="​_blank">​[pdf]</​a>​}}
 +}
  
 +@inproceedings{bylow2019combining,​
 + title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models},
 + author={E. Bylow and R. Maier and F. Kahl and C. Olsson},
 + 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},​
 +  note = {{<a href="​https://​arxiv.org/​abs/​1905.00851">​arXiv:​1905.00851</​a>​}},​
 +  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
 +}
 +
 +@Article{Pasa-et-al-2019,​
 +author={F. Pasa and V. Golkov and F. Pfeiffer and D. Cremers and D. Pfeiffer},
 +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},​
 +keywords={medical imaging,​deeplearning}
 +}
 +
 +@article{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",​
 +  journal = {preprint},
 +  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.}},​
 +  keywords = {stereo, 3D reconstruction,​ semantic SLAM, 3D object detection, scene understanding}
 +}
 +
 +@article{Schuchardt-et-al-2019,​
 +  author = {J. Schuchardt and V. Golkov and D. Cremers},
 +  title = {Learning to Evolve},
 +  year = {2019},
 +  journal = {arXiv preprint arXiv:​1905.03389},​
 +  eprint = {1905.03389},​
 +  eprinttype = {arXiv},
 +  keywords = {evolutionary algorithms, evolutionary computation,​ genetic algorithms, deep learning, neural networks, reinforcement learning, deeplearning},​
 +}
 +
 +@InProceedings{flatgan-icml-19,​
 +  author = "T. M{\"​o}llenhoff and D. Cremers",​
 +  title = "Flat Metric Minimization with Applications in Generative Modeling",​
 +  booktitle = "​International Conference on Machine Learning (ICML)",​
 +  primaryClass = "​cs.LG",​
 +  year = "​2019",​
 +  note = {{<a href="​https://​arxiv.org/​abs/​1905.04730">​arXiv:​1905.04730</​a>,​ <a href="​https://​github.com/​moellenh/​flatgan">​code</​a>​}},​
 +  award = {Full Oral Presentation}
 +}
 +
 +@InProceedings{Frerix2019-givens,​
 +  author = "T. Frerix and J. Bruna",​
 +  title = "​Approximating Orthogonal Matrices with Effective Givens Factorization",​
 +  booktitle = "​International Conference on Machine Learning (ICML 2019)",​
 +  year = "​2019",​
 +  note = {{<a href="​https://​arxiv.org/​abs/​1905.05796">​arXiv:​1905.05796</​a>,​ <a href="​https://​github.com/​tfrerix/​givens-factorization">​code</​a>​}}
 +}

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