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spezial:bib [2019/12/03 17:13]
Marvin Eisenberger
spezial:bib [2020/07/09 14:11] (current)
Ioannis Chiotellis
Line 83: Line 83:
  
 @STRING{ecj = {Electronics and Communications in Japan}} @STRING{ecj = {Electronics and Communications in Japan}}
 +
 +@STRING{ecml = {European Conference on Machine Learning and Data Mining (ECML-PKDD)}}
  
 @STRING{ejde = {Proc. Energy Minimization Methods in Computer Vision and Pattern @STRING{ejde = {Proc. Energy Minimization Methods in Computer Vision and Pattern
Line 106: Line 108:
  
 @STRING{icip = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {I}mage {P}rocessing}} @STRING{icip = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {I}mage {P}rocessing}}
 +
 +@STRING{icml = {{I}nternational {C}onference on {M}achine {L}earning (ICML)}}
  
 @STRING{icra = {International Conference on Robotics and Automation (ICRA)}} @STRING{icra = {International Conference on Robotics and Automation (ICRA)}}
Line 7813: Line 7817:
   author = "N. Yang and R. Wang and X. Gao and D. Cremers",​   author = "N. Yang and R. Wang and X. Gao and D. Cremers",​
   title = "​Challenges in Monocular Visual Odometry: Photometric Calibration,​ Motion Bias and Rolling Shutter Effect",​   title = "​Challenges in Monocular Visual Odometry: Photometric Calibration,​ Motion Bias and Rolling Shutter Effect",​
-  journal = "IEEE Robotics and Automation Letters (RA-L)",​+  journal = " ​In IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robots and Systems (IROS)",
   volume = {3},   volume = {3},
   issue = {4},   issue = {4},
Line 7822: Line 7826:
   titleurl = {yang18challenges.pdf},​   titleurl = {yang18challenges.pdf},​
   keywords={Brightness;​Calibration;​Cameras;​Feature extraction;​Optimization;​Robustness;​Simultaneous localization and mapping;​Localization;​SLAM;​performance evaluation and benchmarking},​   keywords={Brightness;​Calibration;​Cameras;​Feature extraction;​Optimization;​Robustness;​Simultaneous localization and mapping;​Localization;​SLAM;​performance evaluation and benchmarking},​
-  note = {{This paper was also selected by IROS'​18 for presentation at the conference.<a href="​https://​arxiv.org/​abs/​1705.04300"​ target="​_blank">​[arxiv]</​a>​}}+  note = {{<a href="​https://​arxiv.org/​abs/​1705.04300"​ target="​_blank">​[arxiv]</​a>​}}
 } }
  
Line 7967: Line 7971:
   address={Colorado,​ USA},   address={Colorado,​ USA},
   year = {2020},   year = {2020},
-  award = {},+  ​eprint = {1912.06501},​ 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV}, 
 +  ​award = {Spotlight Presentation},
   titleurl = {sang2020wacv.pdf},​   titleurl = {sang2020wacv.pdf},​
 +  note = {
 +  {<a href="/​_media/​spezial/​bib/​sang2020wacv_poster.pdf"​ target="​_blank">​[poster]</​a>​}
 +  {<a href="/​_media/​spezial/​bib/​sang2020wacv_video.pdf"​ target="​_blank">​[presentation]</​a>​}  ​
 +},
 +}
 +
 +@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}
 } }
  
Line 8009: Line 8030:
   note = {   note = {
   {<a href="/​_media/​spezial/​bib/​haefner2019supp.pdf"​ target="​_blank">​[supp]</​a>​}   {<a href="/​_media/​spezial/​bib/​haefner2019supp.pdf"​ target="​_blank">​[supp]</​a>​}
 +  {<a href="/​_media/​spezial/​bib/​haefner2019poster.pdf"​ target="​_blank">​[poster]</​a>​}
 +  {<a href="​https://​github.com/​zhenzhangye/​general_ups"​ target="​_blank">​[code]</​a>​}
 +  {<a href="​http://​openaccess.thecvf.com/​content_ICCV_2019/​html/​Haefner_Variational_Uncalibrated_Photometric_Stereo_Under_General_Lighting_ICCV_2019_paper.html"​ target="​_blank">​[cvf]</​a>​}  ​
 +  {<a href="​https://​ieeexplore.ieee.org/​abstract/​document/​9008998"​ target="​_blank">​[ieeexplore]</​a>​}
 }, },
   keywords={d-reconstruction,​photometry,​variational},​   keywords={d-reconstruction,​photometry,​variational},​
 } }
  
 +
 +@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 8267: Line 8303:
   booktitle = {bioRxiv preprint},   booktitle = {bioRxiv preprint},
   keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning,​ biology, gene regulation},​   keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning,​ biology, gene regulation},​
 +}
 +
 +@inproceedings{Golkov-et-al-2020-ROC,​
 +  author = {V. Golkov and A. Becker and D. T. Plop and D. \v{C}uturilo and N. Davoudi and J. Mendenhall and R. Moretti and J. Meiler and D. Cremers},
 +  title = {Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions},
 +  year = {2020},
 +%  howpublished = {Preprint},
 +  note = {{<a href="​https://​www.biorxiv.org/​content/​10.1101/​2020.06.25.166884v1">​bioRxiv</​a>​}},​
 +  booktitle = {bioRxiv preprint},
 +  keywords = {deep learning, drug discovery, virtual screening, neural networks, machine learning, QSAR, classification,​ receiver operating characteristic,​ deeplearning,​ biology, chemistry},
 } }
  
Line 8576: Line 8622:
 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 8637: Line 8683:
   titleurl = {moellenh-cvpr-19.pdf},​   titleurl = {moellenh-cvpr-19.pdf},​
   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://​youtu.be/​IyPQqqGPHws?​t=4704">​talk</​a>​}}
 } }
  
-@InProceedings{usenko19nfr,​+@article{usenko19nfr,​
   author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers",​   author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers",​
   title = "​Visual-Inertial Mapping with Non-Linear Factor Recovery",​   title = "​Visual-Inertial Mapping with Non-Linear Factor Recovery",​
-  ​eprint ​= {1904.06504}, +  ​journal ​= {IEEE Robotics and Automation Letters (RA-L) & IntConference on Intelligent Robotics and Automation (ICRA)}, 
-  ​eprinttype ​= {arXiv}, +  ​publisher ​= {IEEE}, 
-  ​eprintclass ​= {cs.CV}, +  ​year={2020}, 
-  ​booktitle={arXiv:1904.06504}, +  ​volume={5}, 
-  ​year = "2019",+  number={2},​ 
 +  pages={422-429},​ 
 +  keywords={Simultaneous localization and mapping;​sensor fusion}, 
 +  doi={10.1109/​LRA.2019.2961227}, 
 +  ​note = {{<a href="https://​arxiv.org/​abs/​1904.06504" ​target="​_blank">​[arxiv]</​a>​}},
   keywords = nfr   keywords = nfr
 } }
Line 8665: Line 8715:
 } }
  
-@article{wang19DirectShape+@InProceedings{wang2020directshape
-  author = "R. Wang and N. Yang and J. Stueckler and D. Cremers"+  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"+  title={DirectShape:​ Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation}
-  ​journal ​= {preprint}, +  ​booktitle={Proc. of the IEEE International Conference on Robotics and Automation (ICRA)}, 
-  year = "​2019"​+  year={2020}
-  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>​}},​ +  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://​youtu.be/​P_9fJa-PA9M"​ target="​_blank">​[presentation]</​a><​a href="​https://​vision.in.tum.de/​research/​vslam/​direct-shape"​ target="​_blank">​[project page]</​a><​a href="/​_media/​research/​vslam/​direct-shape/​DirectShape_supp.pdf"​ target="​_blank">​[supplementary]</​a>​}},​ 
-  keywords = {stereo, 3D reconstruction,​ semantic SLAM, 3D object detection, scene understanding,​ direct shape}+  keywords={stereo,​ 3D reconstruction,​ semantic SLAM, 3D object detection, scene understanding,​ direct shape
 +
 + 
 +@inproceedings{du2020dh3d,​ 
 +  author = "J. Du and R. Wang and D. Cremers",​ 
 +  title = "DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization",​ 
 +  booktitle = "​European Conference on Computer Vision (ECCV)",​ 
 +  year = "​2020",​ 
 +  award = {Spotlight Presentation},​ 
 +  keywords={SLAM,​ localization,​ re-localization,​ 3D learning}
 } }
  
Line 8703: Line 8762:
 } }
  
-@article{gn-net-19,+@article{gn-net-2020,
   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 Multi-Weather Relocalization",​   title = "​GN-Net:​ The Gauss-Newton Loss for Multi-Weather Relocalization",​
-  journal = {preprint}, +  journal = {IEEE Robotics and Automation Letters (RA-L) & International Conference on Robotics and Automation (ICRA)}, 
-  year = "2019",+  year = "2020", 
 +  volume={5},​ 
 +  number={2},​ 
 +  pages={890-897},  ​
   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>​}},​   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}
 } }
  
-@article{eisenberger2019smoothshells,​+@inproceedings{eisenberger2019smoothshells,​
   author = "M. Eisenberger and Z. L\"​ahner and D. Cremers",​   author = "M. Eisenberger and Z. L\"​ahner and D. Cremers",​
   title = "​Smooth Shells: Multi-Scale Shape Registration with Functional Maps",   title = "​Smooth Shells: Multi-Scale Shape Registration with Functional Maps",
-  ​journal ​{preprint}+  ​booktitle ​"IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)"​
-  year = "2019", +  year = "2020", 
-  ​note = {{<a href="​https://​arxiv.org/​abs/​1905.12512">​arXiv</​a>​}}+  ​award = {Oral Presentation},​ 
 +  note = {<a href="​https://​arxiv.org/​abs/​1905.12512">​[arXiv]</​a>​} ​{<a href="​https://​github.com/​marvin-eisenberger/​smooth-shells">​[code]</​a>​} 
 +
 + 
 +@inproceedings{eisenberger2020hamiltonian,​ 
 +  author = "M. Eisenberger and D. Cremers",​ 
 +  title = "​Hamiltonian Dynamics for Real-World Shape Interpolation",​ 
 +  booktitle = "​European Conference on Computer Vision (ECCV)",​ 
 +  year = "​2020",​ 
 +  award = {Spotlight Presentation},​ 
 +  note = {<a href="​https://​arxiv.org/​abs/​2004.05199">​[arXiv]</​a>​} 
 +
 + 
 +@inproceedings{Weiss-et-al-cvpr2020,​ 
 +  author = "S. Weiss and R. Maier and D. Cremers and R. Westermann and N. Thuerey",​ 
 +  title = "​Correspondence-Free Material Reconstruction using Sparse Surface Constraints",​ 
 +  booktitle = "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)",​ 
 +  year = "​2020",​ 
 +  titleurl = {Weiss_et_al_cvpr2020.pdf},​
 } }
  
Line 8752: Line 8832:
     title = {{Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light}},     title = {{Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light}},
     award = {Full Oral Presentation},​     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>​}},​+    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>​},​{<​a href="​https://​youtu.be/​OdYkFuZv204"​ target="​_blank">​[video]</​a>​}},​
     year = {2019}     year = {2019}
 } }
Line 8779: Line 8859:
  
 @InBook{vi-dso-chapter,​ @InBook{vi-dso-chapter,​
-  ​author = {L. von Stumberg and V. Usenko and D. Cremers}+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", 
-  ​title = {A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry}+editor = "M. Yang and B. Rosenhahn and V. Murino"​
-  chapter = {Multimodal Scene Understanding}+chapter = "Multimodal Scene Understanding"
-  publisher = {Elsevier}+publisher = "​Academic Press",​ 
-  year = {2019}+pages = "​159--198"​
 +year = "2019", 
 +doi = "​10.1016/​B978-0-12-817358-9.00013-5",​ 
 +isbn = "​978-0-12-817358-9",​
 } }
 +
 +@Inbook{usenko2020_tumflyers,​
 +author="​V. Usenko and L. von Stumberg and J. St{\"​u}ckler and D. Cremers",​
 +editor="​F. Caccavale and C. Ott and B. Winkler and Z. Taylor",​
 +title="​TUM Flyers: Vision---Based MAV Navigation for Systematic Inspection of Structures",​
 +chapter="​Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users",​
 +year="​2020",​
 +publisher="​Springer International Publishing",​
 +address="​Cham",​
 +pages="​189--209",​
 +isbn="​978-3-030-34507-5",​
 +doi="​10.1007/​978-3-030-34507-5_8",​
 +}
 +
  
 @InProceedings{sommer19spline,​ @InProceedings{sommer19spline,​
Line 8793: Line 8890:
   eprinttype = {arXiv},   eprinttype = {arXiv},
   eprintclass = {cs.CV},   eprintclass = {cs.CV},
-  booktitle={arXiv:​1911.08860}, +  booktitle=cvpr, 
-  year = "​2019"​+  year = {2020}, 
 +  award = {Oral Presentation},​ 
 +  keywords=lie-spline 
 +
 + 
 +@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}, 
 +
 + 
 +@InProceedings{yang20d3vo,​ 
 +  author = "N. Yang and L. von Stumberg and R. Wang and D. Cremers",​ 
 +  title = "D3VODeep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry",​ 
 +  booktitle=cvpr,​ 
 +  year = {2020}, 
 +  eprint = {2003.01060}
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV}, 
 +  award = {Oral Presentation},​ 
 +  keywords = {dso,dvso, deep learning, deeplearning,​ monocular depth estimation, semi-supervised learning, slam, visual odometry,​d3vo} 
 +
 + 
 +@InProceedings{fontan20information,​ 
 +  author ​ = "A. Fontan-Villacampa and J. Civera and R. Triebel",​ 
 +  title = "​Information-Driven Direct RGB-D Odometry",​ 
 +  booktitle=cvpr
 +  year=2020, 
 +  award = {Oral Presentation},​ 
 +
 + 
 +@InProceedings{sundermeyer20multi,​ 
 +  author  ​= "M. Sundermeyer and M. Durner and E. Y. Puang and Z.-C. Marton and N. Vaskevicius and K. O. Arras and R. Triebel",​ 
 +  title = "​Multi-path Learning for Object Pose Estimation Across Domains",​ 
 +  booktitle=cvpr,​ 
 +  year=2020,​ 
 +
 + 
 +@InProceedings{wenger20nonparametric,​ 
 +  author = "J. Wenger and H. Kjellstr\"​om and R. Triebel",​ 
 +  title = "​Non-Parametric Calibration for Classification",​ 
 +  booktitle = {International Conference on Artificial 
 +Intelligence and Statistics (AISTATS)},​ 
 +  year = {2020}, 
 + } 
 + 
 +@InProceedings{lee20visual,​ 
 +  author = " J. Lee and R. Balachandran and Y. Sarkisov and M. De Stefano and A. Coelho and K. Shinde and M. J. Kim and R. Triebel and K. Kondak",​ 
 +  title = "​Visual-Inertial Telepresence for Aerial Manipulation",​ 
 +  booktitle = icra, 
 +  year = {2020}, 
 + } 
 + 
 +@InProceedings{steidle19visual,​ 
 +  author = "F. Steidle and W. St\"​urzl and R. Triebel",​ 
 +  title = "​Visual-inertial sensor fusion with a bio-inspired polarization compass for navigation of MAVs",​ 
 +  booktitle = " 11th International Micro Air Vehicle Competition and Conference (IMAV)",​ 
 +  year = {2019}, 
 +  } 
 +   
 + 
 +@InProceedings{feng19introspective,​ 
 +  author = "J. Feng and M. Durner and Z.-C. Marton and F. Balint-Benczedi and R. Triebel",​ 
 +  title = "​Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks",​ 
 +  booktitle = "​International Symposium on Robotics Research (ISRR)",​ 
 +  year = {2019} 
 +  } 
 +   
 +   
 +   
 +@ARTICLE{giubilato20relocalization,​ 
 +  author = { R. Giubilato and M. Vayugundla and M. Schuster and W. St\"​urzl and A. Wedler and R. Triebel and S. Debei}, 
 +  title = {Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras}, 
 +  journal =  "IEEE Robotics and Automation Letters",​ 
 +  volume = "​5",​ 
 +  number = "​2",​ 
 +  pages = " 580--587",​ 
 +  year = {2020}, 
 +
 + 
 +@ARTICLE{sundermeyer19augmented,​ 
 +  author={ M. Sundermeyer and Z. Marton and M. Durner and R. Triebel}, 
 +  title={Augmented Autoencoders:​ Implicit 3D Orientation Learning for 6D Object Detection},​ 
 +  journal=ijcv,​ 
 +  year={2019},​ 
 +
 + 
 +@ARTICLE{lutz20ardea,​ 
 +  author={P. Lutz and M. G. M\"​uller and M. Maier and S. Stoneman and T. Tomi\´c and I. von Bargen and M. J. Schuster and F. Steidle and A. Wedler and W. St\"​urzl and R. Triebel}, 
 +  title = {ARDEA—An MAV with skills for future planetary missions}, ​  
 +  journal={Journal of Field Robotics (JFR)}, 
 +  year={2020} 
 +    } 
 + 
 +@inproceedings{ye2020optimization,​ 
 +  author = "Z. Ye and T. M\"​ollenhoff and T. Wu and D. Cremers",​ 
 +  title = "​Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning",​ 
 +  booktitle = {International Conference on Artificial 
 +Intelligence and Statistics (AISTATS)},​ 
 +  year = {2020}, 
 +  titleurl = {ye-et-al-combinatorial-20.pdf},​ 
 +  note = { 
 +  {<a href="​https://​github.com/​zhenzhangye/​graph_TV_recond"​ target="​_blank">​[code]</​a>​} 
 +  }, 
 +
 + 
 +@phdthesis{maier2020dissertation,​ 
 + author={R. Maier}, 
 + title={High-Quality {3D} Reconstruction from Low-Cost {RGB-D} Sensors}, 
 + type={Dissertation},​ 
 + school={Technische Universit\"​at M\"​unchen},​ 
 + address={M\"​unchen,​ Germany}, 
 + year={2020} 
 +
 + 
 +@inbook{maier2020rgbdvision,​ 
 + title={{RGB-D Vision}}, 
 + author={R. Maier and D. Cremers}, 
 + chapter={Encyclopedia of Robotics},​ 
 + editor={Ang,​ M.H. and Khatib, O. and Siciliano, B.}, 
 + year={2020},​ 
 + publisher={Springer Berlin Heidelberg},​ 
 + address={Berlin,​ Heidelberg},​ 
 + pages={1--11},​ 
 + isbn={978-3-642-41610-1},​ 
 + doi={10.1007/​978-3-642-41610-1_109-1},​ 
 + url={https://​doi.org/​10.1007/​978-3-642-41610-1_109-1} 
 +
 + 
 +@Inbook{Moeller2018,​ 
 +author="​Moeller,​ Michael 
 +and Cremers, Daniel",​ 
 +editor="​Bertalm{\'​i}o,​ Marcelo",​ 
 +title="​Image Denoising---Old and New",​ 
 +bookTitle="​Denoising of Photographic Images and Video: Fundamentals,​ Open Challenges and New Trends",​ 
 +year="​2018",​ 
 +publisher="​Springer International Publishing",​ 
 +address="​Cham",​ 
 +pages="​63--91",​ 
 +titleurl = {moeller_cremers2020_denoising_old_and_new.pdf},​ 
 +
 + 
 + 
 + 
 +@inproceedings{lee2020estimating,​ 
 +  author = "​Jongseok Lee and Matthias Humt and Jianxiang Feng and Rudolph Triebel",​ 
 +  title = "​Estimating Model Uncertainty of Neural Networks in Sparse Information Form",​ 
 +  booktitle = icml, 
 +  year = {2020} 
 +
 + 
 +@article{liu2020effective,​ 
 +  title={Effective Version Space Reduction for Convolutional Neural Networks},​ 
 +  author={Liu,​ Jiayu and Chiotellis, Ioannis and Triebel, Rudolph and Cremers, Daniel}, 
 +  journal={arXiv preprint arXiv:​2006.12456},​ 
 +  year={2020},​ 
 +  booktitle=ecml,​ 
 +  note={{<​a href="​https://​arxiv.org/​abs/​2006.12456"​ target="​_blank">​[arxiv]</​a>​}},​
 } }
  
  

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