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spezial:bib [2019/08/14 13:37]
Rudolph Triebel
spezial:bib [2019/12/09 07:47] (current)
Tao Wu
Line 6097: Line 6097:
   titleurl = {rodola-3dv14.pdf},​   titleurl = {rodola-3dv14.pdf},​
   topic = {Correspondence,​ Shape Analysis, Shape Matching, Object Recognition,​ Machine Learning}   topic = {Correspondence,​ Shape Analysis, Shape Matching, Object Recognition,​ Machine Learning}
-} 
- 
-@Misc{demmel14,​ 
-  author = Nikolaus Demmel, ​ 
-  title = Total Variation Segmentation Incorporating Depth Information 
-  month  = Sept., 
-  year = 2014 
-  note = IDP Project, 
-  keywords = Total Variation, Segmentation,​ RGB-D Images, student-project 
 } }
  
Line 7967: Line 7958:
  year = {2019},  year = {2019},
  note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href="​https://​arxiv.org/​abs/​1809.10940"​ target="​_blank">​[arxiv]</​a>​}},​  note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href="​https://​arxiv.org/​abs/​1809.10940"​ target="​_blank">​[arxiv]</​a>​}},​
 +}
 +
 +@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},​
 +}
 +
 +@article{mukkamala2019arxiv,​
 +  title={Bregman Proximal Framework for Deep Linear Neural Networks},
 +  author={Mahesh Chandra Mukkamala and Felix Westerkamp and Emanuel Laude and Daniel Cremers and Peter Ochs},
 +  journal = {arXiv preprint arXiv:​1910.03638},​
 +  year = {2019},
 +  eprint = {1910.03638},​
 +  eprinttype = {arXiv},
 +  eprintclass = {math.OC}
 +}
 +
 +@article{brahimi2019springer,​
 +  title = {On well-posedness of uncalibrated photometric stereo under general lighting},
 +  author =  {Brahimi, M. and Quéau, Y. and Haefner, B. and Cremers, D.},
 +  journal = {arXiv preprint arXiv:​1911.07268},​
 +  year = {2019},
 +  eprint = {1911.07268},​
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV}, ​
 +titleurl = {brahimi2019springer.pdf},​
 } }
  
Line 7976: Line 7999:
   address={Québec City, Canada},   address={Québec City, Canada},
   year = {2019},   year = {2019},
 +  award = {Spotlight Presentation},​
   titleurl = {haefner20193dv.pdf},​   titleurl = {haefner20193dv.pdf},​
 +  note = {
 +  {<a href="/​_media/​spezial/​bib/​haefner20193dvposter.pdf"​ target="​_blank">​[poster]</​a>​}
 +},
 } }
  
Line 7996: Line 8023:
 } }
  
 +
 +@article{laude2019jota,​
 + title = {Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity},​
 + ​author =  {Laude, E. and Ochs, P. and Cremers, D.},
 + ​journal = jota,
 + ​note="​to appear",​
 + year = {2019},
 +  eprint = {1907.04306},​
 +  eprinttype = {arXiv},
 +  eprintclass = {math.OC},
 +}
  
 @article{haefner2019tpami,​ @article{haefner2019tpami,​
Line 8024: Line 8062:
 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 8211: Line 8250:
   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 8361: Line 8411:
 } }
  
 +@InProceedings{schubert2019vidsors,​
 +  author = "D. Schubert and N. Demmel and L. von Stumberg and V. Usenko and  D. Cremers",​
 +  title = "​Rolling-Shutter Modelling for Visual-Inertial Odometry",​
 +  booktitle = iros,
 +  year = "​2019",​
 +  month = "​November",​
 +  arXiv = "​arXiv:​ 1911.01015",​
 +  note = {{<a href="​https://​arxiv.org/​abs/​1911.01015"​ target="​_blank">​[arxiv]</​a>​}},​
 +  keywords = vidsors
 +}
  
  
Line 8381: Line 8441:
   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 8403: Line 8453:
 } }
  
-@article{eisenberger2019divfree,​+@InProceedings{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 Correspondence by Deformation",​   title = "​Divergence-Free Shape Correspondence by Deformation",​
-  ​journal ​= "​Computer Graphics Forum",​+  ​booktitle ​= "​Computer Graphics Forum",​
   arXiv = " arXiv:​1806.10417",​   arXiv = " arXiv:​1806.10417",​
   year = "​2019",​   year = "​2019",​
   month = "​July",​   month = "​July",​
-  note = {Will be presented at Symposium on Geometry Processing (SGP) {<a href="​https://​arxiv.org/​abs/​1806.10417"​ target="​_blank">​[arxiv]</​a>​}},​+  note = {{<a href="​https://​arxiv.org/​abs/​1806.10417"​ target="​_blank">​[arxiv]</​a>​}},​
 } }
  
Line 8547: Line 8597:
 title = {{Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs}}, title = {{Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs}},
 year = {2018}, 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>​}}+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><​a href="/​_media/​spezial/​bib/​wenzel18corl_poster.pdf"​ target="​_blank">​[poster]</​a>​}}
 } }
  
Line 8609: Line 8659:
   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 8649: Line 8691:
   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 8670: Line 8712:
   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 8683: Line 8726:
 @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 8698: Line 8741:
 } }
  
-@article{control-across-weathers-19,​+@inproceedings{control-across-weathers-19,​
   author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe",​   author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe",​
   title = "​Towards Generalizing Sensorimotor Control Across Weather Conditions",​   title = "​Towards Generalizing Sensorimotor Control Across Weather Conditions",​
-  ​journal ​= {preprint},+  ​booktitle ​= {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
   year = "​2019",​   year = "​2019",​
   note = {{<a href="​https://​arxiv.org/​abs/​1907.11025"​ target="​_blank">​[arxiv]</​a>​}}   note = {{<a href="​https://​arxiv.org/​abs/​1907.11025"​ target="​_blank">​[arxiv]</​a>​}}
Line 8712: Line 8755:
   year = {2019}   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}},
 +    award = {Full Oral Presentation},​
 +    note = {{<a href="​https://​arxiv.org/​abs/​1910.06632"​ target="​_blank">​[arxiv]</​a>​},​{<​a href="/​_media/​spezial/​bib/​jung2019corl-supp.pdf"​target="​_blank">​[supplementary]</​a>​}},​
 +    year = {2019}
 +}
 +
 +@inproceedings{weiss2019sparse,​
 +    title={Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction},​
 +    author={S. Weiss and R. Maier and R. Westermann and D. Cremers and N. Thuerey},
 +    journal = {preprint},
 + booktitle = {arXiv preprint arXiv:​1910.01812},​
 + year={2019},​
 +    eprint = {1910.01812},​
 +    eprinttype = {arXiv},
 +    eprintclass = {cs.CV},
 +    note = {{<a href="​https://​arxiv.org/​pdf/​1910.01812.pdf"​ target="​_blank">​[pdf]</​a>​}}
 +}
 +
 +@article{Della-Libera-et-al-2019,​
 +  author = {L. Della Libera and V. Golkov and Y. Zhu and A. Mielke and D. Cremers},
 +  title = {Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods},
 +  year = {2019},
 +  journal = {arXiv preprint arXiv:​1910.14594},​
 +  eprint = {1910.14594},​
 +  eprinttype = {arXiv},
 +  keywords = {deep learning, neural networks, 2D, 3D, rotations, invariance, equivariance,​ deeplearning},​
 +}
 +
 +@InBook{vi-dso-chapter,​
 +  author = {L. von Stumberg and V. Usenko and D. Cremers},
 +  editor = {Michael Ying Yang and Bodo Rosenhahn and Vittorio Murino},
 +  title = {A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry},
 +  chapter = {Multimodal Scene Understanding},​
 +  publisher = {Elsevier},
 +  year = {2019}
 +}
 +
 +@InProceedings{sommer19spline,​
 +  author = "C. Sommer and V. Usenko and D. Schubert and N. Demmel and D. Cremers",​
 +  title = "​Efficient Derivative Computation for Cumulative B-Splines on Lie Groups",​
 +  eprint = {1911.08860},​
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle={arXiv:​1911.08860},​
 +  year = "​2019"​
 +}
 +
 +@inproceedings{brechet2019,​
 + title = {Informative GANs via Structured Regularization of Optimal Transport},
 + ​author =  {P. Bréchet and T. Wu and T. Möllenhoff and D. Cremers},
 + ​booktitle = {{NeurIPS Workshop on Optimal Transport and Machine Learning}},
 + year = {2019},
 + ​eprint = {1912.02160},​
 + ​eprinttype = {arXiv},
 + ​eprintclass = {cs.CV},
 +}
 +

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