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spezial:bib [2018/09/15 21:54]
Rudolph Triebel
spezial:bib [2019/06/25 15:31] (current)
Thomas Möllenhoff
Line 8: Line 8:
  
 @STRING{ismar= {International Symposium on Mixed and Augmented Reality}} @STRING{ismar= {International Symposium on Mixed and Augmented Reality}}
-on+
 @STRING{ai = {Artificial Intelligence}} @STRING{ai = {Artificial Intelligence}}
  
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 5922: Line 5925:
     keywords={rgb-d,​rgb-d benchmark},     keywords={rgb-d,​rgb-d benchmark},
     note = {{<a href="/​_media/​spezial/​bib/​maier2014gcpr_slides.pdf"​ target="​_blank">​[slides]</​a>​}},​     note = {{<a href="/​_media/​spezial/​bib/​maier2014gcpr_slides.pdf"​ target="​_blank">​[slides]</​a>​}},​
 +  award = {Oral Presentation}
 } }
  
Line 7283: Line 7287:
   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 7562: Line 7566:
   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 7570: Line 7574:
 @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 7617: Line 7621:
  
 @article{Mecca2016Single,​ @article{Mecca2016Single,​
-  author={Mecca,​ R. and Queau, Y. and Logothetis, F. and Cipolla, R.},+  author={Mecca,​ R. and Quéau, Y. and Logothetis, F. and Cipolla, R.},
   title={{A Single-Lobe Photometric Stereo Approach for Heterogeneous Material}},   title={{A Single-Lobe Photometric Stereo Approach for Heterogeneous Material}},
   journal={SIAM Journal on Imaging Sciences},   journal={SIAM Journal on Imaging Sciences},
Line 7658: Line 7662:
 } }
  
-@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 7766: Line 7770:
 @inproceedings{QueauCVPR2017,​ @inproceedings{QueauCVPR2017,​
 address = {Honlulu, USA}, address = {Honlulu, USA},
-author = {Queau, Y. and Wu, T. and Lauze, F. and Durou, J.-D. and Cremers, D.},+author = {Quéau, Y. and Wu, T. and Lauze, F. and Durou, J.-D. and Cremers, D.},
 booktitle = cvpr, booktitle = cvpr,
 title = {{A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting}}, title = {{A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting}},
Line 7787: Line 7791:
 } }
  
-@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 + title = {{Deep Depth From Focus}}, 
-          ​Daniel Cremers",​ + year = "2018",​ 
- title = {{<a href="​https://​hazirbas.github.io/​projects/​ddff/"​ target="​_blank">​Deep Depth From Focus</a>}}, + month = "​December", 
- year = "2017", + ​booktitle = "Asian Conference on Computer Vision (ACCV)", 
- ​booktitle = "ArXiv preprint arXiv:​1704.01085", + 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>​}},​
- 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 7924: Line 7927:
 @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 7935: Line 7938:
 @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},​
  month={October},​  month={October},​
  address={Qingdao,​ China},  address={Qingdao,​ China},
 + award = {Spotlight Presentation},​
   keywords={scene-flow,​motion segmentation,​rgb-d},​   keywords={scene-flow,​motion segmentation,​rgb-d},​
   note = {{<a href="/​_media/​spezial/​bib/​golyanik2017multiframe_slides.pdf"​ target="​_blank">​[slides]</​a>​ <a href="/​_media/​spezial/​bib/​golyanik2017multiframe_poster.pdf"​ target="​_blank">​[poster]</​a> ​ <a href="/​_media/​spezial/​bib/​golyanik2017multiframe_supplementary.pdf"​ target="​_blank">​[supplementary]</​a>​}}   note = {{<a href="/​_media/​spezial/​bib/​golyanik2017multiframe_slides.pdf"​ target="​_blank">​[slides]</​a>​ <a href="/​_media/​spezial/​bib/​golyanik2017multiframe_poster.pdf"​ target="​_blank">​[poster]</​a> ​ <a href="/​_media/​spezial/​bib/​golyanik2017multiframe_supplementary.pdf"​ target="​_blank">​[supplementary]</​a>​}}
Line 7946: Line 7950:
 @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 7956:
  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{Haefner2018A,​ 
 + title = {Photometric Depth Super-Resolution},​ 
 + ​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)}},​ 
 + year = {2019}, 
 + ​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>​} 
 +{<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},​ 
 +
 + 
 + 
 +@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},​ 
 +keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​
 } }
  
Line 7963: Line 8025:
  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},
 } }
  
Line 7969: Line 8035:
 @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 7975: Line 8041:
  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 8074: Line 8140:
   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 8103: Line 8177:
 } }
  
-@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 8119: Line 8193:
   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 8130: Line 8212:
  
  
-@inproceedings{Aljalbout-et-al-2018,​ +@inproceedings{Do-et-al-2018-pre-miRNA,​ 
-  author = {E. Aljalbout and V. Golkov and Y. Siddiqui and D. Cremers},+  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},​ 
 +
 + 
 +@article{Aljalbout-et-al-2018,​ 
 +  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 8162: Line 8254:
 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, optical-flow}
 } }
 +
  
 @InProceedings{Frerix-et-al-18,​ @InProceedings{Frerix-et-al-18,​
Line 8174: Line 8268:
   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 8233: Line 8315:
 } }
  
-@InProceedings{laude-et-al-transductive,​ +
-  author = "E. Laude and J.-H. Lange and J. Schüpfer and C. Domokos and L. Leal-Taixé and F. R. Schmidt and B. Andres and D. Cremers",​ +
-  title = "​Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs",​ +
-  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 8263: Line 8339:
   year = "​2018",​   year = "​2018",​
   month = "​October",​   month = "​October",​
-  note = {accepted, to appear, ​{<a href="​https://​arxiv.org/​abs/​1804.06120"​ target="​_blank">​[arxiv]</​a>​}},​+  note = {{<a href="​https://​arxiv.org/​abs/​1804.06120"​ target="​_blank">​[arxiv]</​a>​}},​
   keywords = tumvi   keywords = tumvi
 } }
Line 8272: Line 8348:
   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>​}},​+  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 8289: Line 8365:
 } }
  
-@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 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},​   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 8309: Line 8385:
 } }
  
-@InProceedings{eisenberger2018divfree,+@article{eisenberger2019divfree,
   author = "M. Eisenberger and Z. L\"​ahner and D. Cremers",​   author = "M. Eisenberger and Z. L\"​ahner and D. Cremers",​
-  title = "​Divergence-Free Shape Interpolation and Correspondence",​ +  title = "​Divergence-Free Shape Correspondence ​by Deformation", 
-  ​booktitle ​= "arXiv:​1806.10417",+  ​journal ​= "Computer Graphics Forum",
   arXiv = " arXiv:​1806.10417",​   arXiv = " arXiv:​1806.10417",​
-  year = "2018", +  year = "2019", 
-  month = "Juni", +  month = "July", 
-  note = {{<a href="​https://​arxiv.org/​abs/​1806.10417"​ target="​_blank">​[arxiv]</​a>​}},​+  note = {Will be presented at Symposium on Geometry Processing (SGP) {<a href="​https://​arxiv.org/​abs/​1806.10417"​ target="​_blank">​[arxiv]</​a>​}},​
 } }
  
Line 8326: Line 8402:
   month = "​September",​   month = "​September",​
   award = {Oral Presentation}, ​   award = {Oral Presentation}, ​
- note = {{<a href="​https://​research.fb.com/​publications/​deepwrinkles-accurate-and-realistic-clothing-modeling/"​ target="​_blank">​[Homepage]</​a>​}}+ note = {{<a href="​https://​research.fb.com/​publications/​deepwrinkles-accurate-and-realistic-clothing-modeling/"​ target="​_blank">​[Homepage]</​a>,​ <a href="​https://​www.youtube.com/​watch?​v=g2hmNE1AxjQ&​list=PLqHzsfkXuhrvsjPdysCD72D9iFLH-VFgT&​index=4"​ target="​_blank">​[Oral Presentation]</​a>​}}
 } }
  
Line 8332: Line 8408:
   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",​
   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>​},​{<​a href="​https://​youtu.be/​2_nDLpGtY1Y"​target="​_blank">​[talk]</​a>​},​{<​a href="​https://​vision.in.tum.de/​research/​vslam/​dvso"​ target="​_blank">​[project]</​a>​}},​
   keywords = {dso, dvso, deep learning, deeplearning,​ monocular depth estimation, semi-supervised learning, slam, visual odometry}   keywords = {dso, dvso, deep learning, deeplearning,​ monocular depth estimation, semi-supervised learning, slam, visual odometry}
 } }
Line 8389: Line 8465:
  year = 2018,  year = 2018,
         month = {Oct.},         month = {Oct.},
-}+  award = {Best Cognitive Robotics Paper Finalist}, ​  
 +  ​}
 @InProceedings{grixa18iros,​ @InProceedings{grixa18iros,​
  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},
Line 8409: Line 8486:
 } }
  
 +@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.}
 +}
 +
 +@article{tjaden2018region,​
 +  title={A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking},
 +  author={Tjaden,​ Henning and Schwanecke, Ulrich and Sch{\"​o}mer,​ Elmar and Cremers, Daniel},
 +  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},​
 +  year={2018},​
 +  titleurl = {tjaden_et_al_pami18.pdf}
 +}
 +
 +@inproceedings{wenzel18corl,​
 +author = {P. Wenzel and Q. Khan and D. Cremers and L. Leal-Taixé},​
 +booktitle = {Conference on Robot Learning (CoRL)},
 +title = {{Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs}},
 +year = {2018},
 +note = {{<a href="​https://​arxiv.org/​abs/​1807.01001"​ target="​_blank">​[arXiv]</​a><​a href="​https://​www.youtube.com/​playlist?​list=PLbT2smuiIncsR_s9YA6KFpsa8gMwus5u7"​ target="​_blank">​[videos]</​a>​}}
 +}
 +
 +@article{Frerix2019,​
 +  author = "T. Frerix and M. Nie{\ss}ner and D. Cremers",​
 +  title = "​Homogeneous Linear Inequality Constraints for Neural Network Activations",​
 +  journal = "​preprint",​
 +  primaryClass = "​cs.LG",​
 +  year = "​2019",​
 +  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>​}}
 +}
 +
 +@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},​
 +  award = {Oral Presentation,​ received the SCIA 2019 Honourable Mention award},
 +  note = {{<a href="/​_media/​spezial/​bib/​bylow2019combining_slides.pdf"​ target="​_blank">​[slides]</​a>​ <a href="/​_media/​spezial/​bib/​bylow2019combining_poster.pdf"​ target="​_blank">​[poster]</​a>​}}
 +}
 +
 +@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},​
 +  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>​}}
 +}
 +
 +@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>​},​ <a href="​https://​www.facebook.com/​icml.imls/​videos/​713631379054038/">​talk</​a>​},​
 +  award = {Full Oral Presentation}
 +}
 +
 +@InProceedings{Frerix2019-givens,​
 +  title = {{Approximating Orthogonal Matrices with Effective Givens Factorization}},​
 +  author = {T. Frerix and J. Bruna},
 +  booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
 +  year = {2019},  ​
 +  note = {<a href="​http://​proceedings.mlr.press/​v97/​frerix19a.html">​URL</​a>,​ <a href="​https://​github.com/​tfrerix/​givens-factorization">​code</​a>​}
 +}
 +
 +@article{gn-net-19,​
 +  author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers",​
 +  title = "​GN-Net:​ The Gauss-Newton Loss for Deep Direct SLAM",
 +  journal = {preprint},
 +  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>​}},​
 +  keywords = {gn-net}
 +}
 +
 +@article{eisenberger2019smoothshells,​
 +  author = "M. Eisenberger and Z. L\"​ahner and D. Cremers",​
 +  title = "​Smooth Shells: Multi-Scale Shape Registration with Functional Maps",
 +  journal = {preprint},
 +  year = "​2019",​
 +  note = {{<a href="​https://​arxiv.org/​abs/​1905.12512">​arXiv</​a>​}}
 +}

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