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04.03.2024

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We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

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15.10.2022

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spezial:bib [2019/02/14 11:42]
haefner
spezial:bib [2019/08/20 22:28]
Dr. Vladimir Golkov
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 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 7789: Line 7793:
 @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 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 7934: 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 7945: 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 7951: 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{Haefner2018, +
- title = {Photometric Depth Super-Resolution}, +
- author =  {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.}, +
- journal = {{Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Special Issue on RGB-D Vision: Methods and Applications}}, +
- year = {2018}, +
- 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>}}+
-keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},+
 } }
  
Line 7969: Line 7962:
  title = {Functional Maps Representation on Product Manifolds},  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},  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))}},+ journal = {{Computer Graphics Forum}}
 + volume = 38, 
 + issue = 1,
  year = {2019},  year = {2019},
- note = {{<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{haefner20193dv, 
 +  title = {Photometric Segmentation: Simultaneous Photometric Stereo and Masking}, 
 +  author =  {Haefner, B. and Quéau, Y. and Cremers, D.}, 
 +  booktitle={International Conference on 3D Vision (3DV)}, 
 +  month={September}, 
 +  address={Québec City, Canada}, 
 +  year = {2019}, 
 +  titleurl = {haefner20193dv.pdf}, 
 +
 + 
 +@inproceedings{haefner2019iccv, 
 +  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.}, 
 +  booktitle={International Conference on Computer Vision (ICCV)}, 
 +  month={October}, 
 +  address={Seoul, South Korea}, 
 +  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{haefner2019tpami, 
 + 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}, 
 +  eprint = {1809.10097}, 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV},  
 +titleurl = {haefner2018.pdf}, 
 + note = { 
 +{<a href="/_media/spezial/bib/haefner2018supp.pdf" target="_blank">[supp]</a>
 +{<a href="https://vision.in.tum.de/data/datasets/photometricdepthsr" target="_blank">[project page]</a>
 +{<a href="https://ieeexplore.ieee.org/document/8738841" target="_blank">[ieeexplore]</a>
 +}, 
 +keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
 } }
  
  
-@inproceedings{Haefner2018CVPR,+@inproceedings{haefner2018cvpr,
  title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading},  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.},  author =  {Haefner, B. and Quéau, Y. and Möllenhoff, T. and Cremers, D.},
Line 7982: Line 8022:
  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},
 } }
  
  
-@inproceedings{Peng2017,+@inproceedings{peng2017,
  title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo},  title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo},
  author =  {Peng, S. and Haefner, B. and Quéau, Y. and Cremers, D.},  author =  {Peng, S. and Haefner, B. and Quéau, Y. and Cremers, D.},
  booktitle = {{International Conference on Computer Vision Workshops (ICCVW)}},  booktitle = {{International Conference on Computer Vision Workshops (ICCVW)}},
  year = {2017},  year = {2017},
 +  eprint = {1708.00411},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
  award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},  award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},
  titleurl = {peng2017iccvw.pdf},  titleurl = {peng2017iccvw.pdf},
- note = {{<a href="https://github.com/pengsongyou/SRmeetsPS" target="_blank">[code]</a>,<a href="http://openaccess.thecvf.com/content_ICCV_2017_workshops/w43/html/Peng_Depth_Super-Resolution_Meets_ICCV_2017_paper.html" target="_blank">[cvf]</a>}},,+ note = { 
 +{<a href="https://github.com/pengsongyou/SRmeetsPS" target="_blank">[code]</a>
 +{<a href="http://openaccess.thecvf.com/content_ICCV_2017_workshops/w43/html/Peng_Depth_Super-Resolution_Meets_ICCV_2017_paper.html" target="_blank">[cvf]</a>} 
 +},
 keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
 } }
Line 8003: Line 8053:
 @inproceedings{wang2017stereoDSO, @inproceedings{wang2017stereoDSO,
  title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras},  title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras},
- author={Wang, R. and Schw\"orer, M. and Cremers, D.},+        author={R. Wang and M. Schw\"orer and D. Cremers},
  booktitle={International Conference on Computer Vision (ICCV)},  booktitle={International Conference on Computer Vision (ICCV)},
  year={2017},  year={2017},
Line 8009: Line 8059:
  address={Venice, Italy},  address={Venice, Italy},
   keywords={dso, visual odometry, stereo, 3D reconstruction, stereodso},   keywords={dso, visual odometry, stereo, 3D reconstruction, stereodso},
-        note = {{<a href="/_media/spezial/bib/wang2017stereoDSO-supp.pdf" target="_blank">[supplementary]</a>}{<a href="https://youtu.be/A53vJO8eygw" target="_blank">[video]</a><a href="https://arxiv.org/abs/1708.07878" target="_blank">[arxiv]</a>}{<a href="https://vision.in.tum.de/research/vslam/stereo-dso" target="_blank">[project]</a>}}+        note = {{<a href="/_media/spezial/bib/wang2017stereoDSO-supp.pdf" target="_blank">[supplementary]</a>}{<a href="https://youtu.be/A53vJO8eygw" target="_blank">[video]<a href="https://arxiv.org/abs/1708.07878" target="_blank">[arxiv]</a>}{<a href="https://vision.in.tum.de/research/vslam/stereo-dso" target="_blank">[project]</a>}}
 } }
  
Line 8108: Line 8158:
   titleurl = {bergmann17calibration.pdf},   titleurl = {bergmann17calibration.pdf},
   keywords={visual odometry, calibration, SLAM, direct, dso, photometric-calibration},   keywords={visual odometry, calibration, SLAM, direct, dso, photometric-calibration},
-  note = {{This paper was also selected by ICRA'18 for presentation at the conference.<a href="https://arxiv.org/abs/1710.02081" target="_blank">[arxiv]</a><a href="https://youtu.be/nQHMG0c6Iew" target="_blank">[video]</a><a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[code]</a><a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a>}}, +  note = {{This paper was also selected by ICRA'18 for presentation at the conference.<a href="https://arxiv.org/abs/1710.02081" target="_blank">[arxiv]<a href="https://youtu.be/nQHMG0c6Iew" target="_blank">[video]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[code]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a>}}, 
   award = {ICRA'18 Best Vision Paper Award - Finalist}   award = {ICRA'18 Best Vision Paper Award - Finalist}
 +}
 +
 +@InProceedings{laude-et-al-transductive,
 +  author = "E. Laude and J.-H. Lange and J. Sch{\"u}pfer and C. Domokos and L. Leal-Taix{\'e} and F. R. Schmidt and B. Andres and D. Cremers",
 +  title = "Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s",
 +  booktitle=cvpr,
 +  year = "2018",
 +  titleurl = {laude-2018-discrete-continuous.pdf}
 } }
  
Line 8137: Line 8195:
 } }
  
-@inproceedings{Kukacka-et-al-2017,+@article{Kukacka-et-al-2017,
   author = {J. Kukačka and V. Golkov and D. Cremers},   author = {J. Kukačka and V. Golkov and D. Cremers},
   title = {Regularization for Deep Learning: A Taxonomy},   title = {Regularization for Deep Learning: A Taxonomy},
   year = {2017},   year = {2017},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1710.10686}, 
-  note = {{<a href="https://arxiv.org/abs/1710.10686">arXiv:1710.10686</a>}}, +  eprint = {1710.10686}, 
-  booktitle = {ArXiv preprint},+  eprinttype = {arXiv},
   keywords = {deep learning, neural networks, regularization, data augmentation, network architecture, loss function, dropout, residual learning, optimization, deeplearning},   keywords = {deep learning, neural networks, regularization, data augmentation, network architecture, loss function, dropout, residual learning, optimization, deeplearning},
 } }
Line 8153: Line 8211:
   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},
 +}
 +
 +@inproceedings{Swazinna-et-al-ismrm2019,
 +  author = {P. Swazinna and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},
 +  title = {Negative-Unlabeled Learning for Diffusion MRI},
 +  year = {2019},
 +  booktitle = ismrm,
 +  keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, positive-unlabeled learning, semi-supervised learning, localization, deeplearning},
 } }
  
Line 8174: Line 8250:
 } }
  
-@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 8209: Line 8285:
 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 8267: Line 8343:
 } }
  
-@InProceedings{laude-et-al-transductive, +
-  author = "E. Laude and J.-H. Lange and J. Sch{\"u}pfer and C. Domokos and L. Leal-Taix{\'e} and F. R. Schmidt and B. Andres and D. Cremers", +
-  title = "Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s", +
-  booktitle=cvpr, +
-  year = "2018", +
-  titleurl = {laude-2018-discrete-continuous.pdf} +
-}+
 @InProceedings{ @InProceedings{
   author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel",   author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel",
Line 8306: Line 8376:
   author = "X. Gao and R. Wang and N. Demmel and D. Cremers",   author = "X. Gao and R. Wang and N. Demmel and D. Cremers",
   title = "LDSO: Direct Sparse Odometry with Loop Closure",   title = "LDSO: Direct Sparse Odometry with Loop Closure",
-  booktitle = iros,+  booktitle = "iros",
   arXiv = "arXiv:1808.01111",   arXiv = "arXiv:1808.01111",
   year = "2018",   year = "2018",
   month = "October",   month = "October",
-  note = {{<a href="https://arxiv.org/abs/1808.01111" target="_blank">[arxiv]}{</a><a href="https://youtu.be/LEvOSzyZUvc" target="_blank">[video]</a>}{<a href="https://github.com/tum-vision/LDSO" target="_blank">[code]</a>}{</a><a href="https://vision.in.tum.de/research/vslam/ldso" target="_blank">[project]</a>}},+  note = {{<a href="https://arxiv.org/abs/1808.01111" target="_blank">[arxiv]</a>}{<a href="https://youtu.be/LEvOSzyZUvc" target="_blank">[video]</a>}{<a href="https://github.com/tum-vision/LDSO" target="_blank">[code]</a>}{<a href="https://vision.in.tum.de/research/vslam/ldso" target="_blank">[project]</a>}},
   keywords = {dso, ldso}   keywords = {dso, ldso}
 } }
Line 8321: Line 8391:
   year={2010},   year={2010},
   organization={IEEE}   organization={IEEE}
-} 
- 
-@inproceedings{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}, 
-  title = {{q}-{S}pace Novelty Detection with Variational Autoencoders}, 
-  year = {2018}, 
-%  howpublished = {Preprint}, 
-  note = {{<a href="https://arxiv.org/abs/1806.02997">arXiv:1806.02997</a>}}, 
-  booktitle = {ArXiv preprint}, 
-  keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, biomed}, 
 } }
  
Line 8343: Line 8403:
 } }
  
-@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 8366: Line 8426:
   author = "N. Yang and R. Wang and J. Stueckler and D. Cremers",   author = "N. Yang and R. Wang and J. Stueckler and D. Cremers",
   title = "Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry",   title = "Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry",
-  booktitle    = eccv,+  booktitle    = "eccv",
   year = "2018",   year = "2018",
   month = "September",   month = "September",
Line 8407: Line 8467:
 } }
  
-@InProceedings{sundermeyer2018eccv,+@InProceedings{sundermeyer18implicit,
   author = {M. Sundermeyer and Z. Marton and M. Durner and M. Brucker and R. Triebel},   author = {M. Sundermeyer and Z. Marton and M. Durner and M. Brucker and R. Triebel},
   title = {Implicit 3D Orientation Learning for 6D Object Detection from RGB Images},   title = {Implicit 3D Orientation Learning for 6D Object Detection from RGB Images},
Line 8416: Line 8476:
 } }
  
-@InProceedings{denninger18iros,+@InProceedings{denninger18persistent,
  author = {M. Denninger and R. Triebel},  author = {M. Denninger and R. Triebel},
  title = {Persistent Anytime Learning of Objects from Unseen Classes },  title = {Persistent Anytime Learning of Objects from Unseen Classes },
Line 8425: Line 8485:
   award = {Best Cognitive Robotics Paper Finalist},     award = {Best Cognitive Robotics Paper Finalist},  
   }   }
-@InProceedings{grixa18iros,+@InProceedings{grixa18appearance,
  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},
  title = {Appearance-Based Along-Route Localization for Planetary Missions},  title = {Appearance-Based Along-Route Localization for Planetary Missions},
Line 8491: Line 8551:
  
 @article{Frerix2019, @article{Frerix2019,
-  author = "Thomas Frerix and Matthias Nie{\ss}ner and Daniel Cremers", +  author = "T. Frerix and M. Nie{\ss}ner and D. Cremers", 
-  title = "Linear Inequality Constraints for Neural Network Activations",+  title = "Homogeneous Linear Inequality Constraints for Neural Network Activations",
   journal = "preprint",   journal = "preprint",
   primaryClass = "cs.LG",   primaryClass = "cs.LG",
   year = "2019",   year = "2019",
   note = {{<a href="https://arxiv.org/abs/1902.01785">arXiv</a>}}   note = {{<a href="https://arxiv.org/abs/1902.01785">arXiv</a>}}
 +}
 +
 +@phdthesis{usenko_phd,
 + author = "Usenko, Vladyslav",
 + title = "Visual-Inertial Navigation for Autonomous Vehicles",
 + type = "Dissertation",
 + school = "Technische Universität München",
 + address = "München",
 + year = 2019,
 +        note = {{<a href="http://mediatum.ub.tum.de/?id=1454207">library link</a>}}
 +}
 +
 +@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>}}
 +}
 +
 +@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> <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, direct shape}
 +}
 +
 +@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},
 +  month={6}
 +}
 +
 +@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>}}
 +}
 +
 +@article{control-across-weathers-19,
 +  author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe",
 +  title = "Towards Generalizing Sensorimotor Control Across Weather Conditions",
 +  journal = {preprint},
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1907.11025" target="_blank">[arxiv]</a>}}
 +}
 +
 +@InProceedings{puang19visual,
 +  title = {{Visual Repetition Sampling for Robot Manipulation Planning}},
 +  author = {E.Y. Puang and P. Lehner and Z.C. Marton and M. Durner and R. Triebel and A. Albu-Sch\"affer},
 +  booktitle = icra,
 +  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},
 } }

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04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

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15.10.2022

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