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85748 Garching info@vision.in.tum.de

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04.03.2024

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

18.07.2023

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

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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spezial:bib [2019/03/03 11:05]
usenko
spezial:bib [2019/05/19 14:46]
moellenh
Line 3713: Line 3713:
  year = {2009},  year = {2009},
  address = {Jena, Germany},  address = {Jena, Germany},
 + keywords = {optical-flow},
 titleurl = {mitzel_et_al_dagm09.pdf} titleurl = {mitzel_et_al_dagm09.pdf}
 } }
Line 3943: Line 3944:
   address = {Germany},   address = {Germany},
   month = jul,   month = jul,
 +  keywords = {optical-flow},
   titleurl = {nieuwenhuis_PhDThesis.pdf},   titleurl = {nieuwenhuis_PhDThesis.pdf},
 } }
Line 4444: Line 4446:
 pages ={1449--1462}, pages ={1449--1462},
 topic={optical flow}, topic={optical flow},
-keywords = {optical flow},+keywords = {optical flow,optical-flow},
   titleurl = {kybic_nieuwenhuis.pdf}   titleurl = {kybic_nieuwenhuis.pdf}
 } }
Line 4616: Line 4618:
   booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)},   booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
   address = {Prag, Czech Republic},   address = {Prag, Czech Republic},
 +  keywords = {optical-flow},
   titleurl = {2011_SKC_ICASSP.pdf}   titleurl = {2011_SKC_ICASSP.pdf}
 } }
Line 4951: Line 4954:
 @incollection{Golkov-et-al-cdmri14, @incollection{Golkov-et-al-cdmri14,
   author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers},   author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers},
-  title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate},+  title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per {q}-Space Coordinate},
   booktitle = {Computational Diffusion MRI},    booktitle = {Computational Diffusion MRI}, 
   publisher = {Springer},   publisher = {Springer},
Line 4961: Line 4964:
 @inproceedings{Golkov-et-al-esmrmb13-comparison, @inproceedings{Golkov-et-al-esmrmb13-comparison,
   author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},   author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},
-  title = {Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation},+  title = {Effects of Low-Rank Constraints, Line-Process Denoising, and {q}-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation},
   booktitle = esmrmb,   booktitle = esmrmb,
   year = 2013,   year = 2013,
Line 5012: Line 5015:
 @inproceedings{Golkov-et-al-ismrm13, @inproceedings{Golkov-et-al-ismrm13,
   author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl},   author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl},
-  title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing},+  title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with {q}-Space Compressed Sensing},
   booktitle = ismrm,   booktitle = ismrm,
   year = 2013,   year = 2013,
Line 7283: Line 7286:
   url          = "http://lmb.informatik.uni-freiburg.de//Publications/2016/MIFDB16",   url          = "http://lmb.informatik.uni-freiburg.de//Publications/2016/MIFDB16",
      
-  keywords = {deeplearning, scene-flow}+  keywords = {deeplearning, scene-flow, optical-flow}
 } }
  
Line 7562: Line 7565:
   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 7573:
 @inproceedings{dzitsiuk2017icra, @inproceedings{dzitsiuk2017icra,
  title={De-noising, Stabilizing and Completing {3D} Reconstructions On-the-go using Plane Priors},  title={De-noising, Stabilizing and Completing {3D} Reconstructions On-the-go using Plane Priors},
- author={Dzitsiuk, M. and Sturm, J. and Maier, R. and Ma, L. and Cremers, D.},+ author={M. Dzitsiuk and J. Sturm and R. Maier and L. Ma and D. Cremers},
  booktitle={International Conference on Robotics and Automation (ICRA)},  booktitle={International Conference on Robotics and Automation (ICRA)},
  year={2017},  year={2017},
Line 7658: Line 7661:
 } }
  
-@inproceedings{Golkov-et-al-arxiv2017-function3d,+@article{Golkov-et-al-arxiv2017-function3d,
   author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers},   author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers},
   title = {3D Deep Learning for Biological Function Prediction from Physical Fields},   title = {3D Deep Learning for Biological Function Prediction from Physical Fields},
   year = {2017},   year = {2017},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1704.04039}, 
-  note = {{<a href="https://arxiv.org/abs/1704.04039">arXiv:1704.04039</a>}}, +  eprint = {1704.04039}, 
-  booktitle = {ArXiv preprint},+  eprinttype = {arXiv},
   keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning},   keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning},
 } }
Line 7789: Line 7792:
 @InProceedings{hazirbas18ddff, @InProceedings{hazirbas18ddff,
  author = "Caner Hazirbas and Sebastian Georg Soyer and Maximilian Christian Staab and Laura Leal-Taixé and Daniel Cremers",  author = "Caner Hazirbas and Sebastian Georg Soyer and Maximilian Christian Staab and Laura Leal-Taixé and Daniel Cremers",
- title = {{<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>}},+ title = {{Deep Depth From Focus}},
  year = "2018",  year = "2018",
  month = "December",  month = "December",
  booktitle = "Asian Conference on Computer Vision (ACCV)",  booktitle = "Asian Conference on Computer Vision (ACCV)",
- note = {{<a href="https://arxiv.org/abs/1704.01085" target="_blank">[arxiv]</a>}, {<a href="https://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}},+ note = {{<a href="https://arxiv.org/abs/1704.01085" target="_blank">[arxiv]</a>}, {<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>},{<a href="https://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}},
  keywords = {deeplearning},  keywords = {deeplearning},
 } }
Line 7923: Line 7926:
 @inproceedings{maier2017efficient, @inproceedings{maier2017efficient,
  title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction},  title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction},
- author={Maier, R. and Schaller, R. and Cremers, D.},+ author={R. Maier and R. Schaller and D. Cremers},
  booktitle={British Machine Vision Conference (BMVC)},  booktitle={British Machine Vision Conference (BMVC)},
  year={2017},  year={2017},
Line 7934: Line 7937:
 @inproceedings{golyanik2017multiframe, @inproceedings{golyanik2017multiframe,
  title={Multiframe Scene Flow with Piecewise Rigid Motion},  title={Multiframe Scene Flow with Piecewise Rigid Motion},
- author={Golyanik, V. and Kim, K. and Maier, R. and Nie{\ss}ner, M. and Stricker, D. and Kautz, J.},+ author={V. Golyanik and K. Kim and R. Maier and M. Niessner and D. Stricker and J. Kautz},
  booktitle={International Conference on 3D Vision (3DV)},  booktitle={International Conference on 3D Vision (3DV)},
  year={2017},  year={2017},
Line 7945: Line 7948:
 @inproceedings{maier2017intrinsic3d, @inproceedings{maier2017intrinsic3d,
  title={Intrinsic3D: High-Quality {3D} Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting},  title={Intrinsic3D: High-Quality {3D} Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting},
- author={Maier, R. and Kim, K. and Cremers, D. and Kautz, J. and Nie{\ss}ner, M.},+ author={R. Maier and K. Kim and D. Cremers and J. Kautz and M. Niessner},
  booktitle={International Conference on Computer Vision (ICCV)},  booktitle={International Conference on Computer Vision (ICCV)},
  year={2017},  year={2017},
Line 7952: Line 7955:
   keywords={rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d},   keywords={rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d},
   note = {{<a href="/_media/spezial/bib/maier2017intrinsic3d_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/maier2017intrinsic3d_poster.pdf" target="_blank">[poster]</a> <a href="/data/datasets/intrinsic3d" target="_blank">[dataset]</a> <a href="https://github.com/NVlabs/intrinsic3d" target="_blank">[code]</a>}}   note = {{<a href="/_media/spezial/bib/maier2017intrinsic3d_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/maier2017intrinsic3d_poster.pdf" target="_blank">[poster]</a> <a href="/data/datasets/intrinsic3d" target="_blank">[dataset]</a> <a href="https://github.com/NVlabs/intrinsic3d" target="_blank">[code]</a>}}
 +}
 +
 +@article{rodola2018funmaprep,
 + title = {Functional Maps Representation on Product Manifolds},
 + author =  {Rodol\`a, Emanuele and L\"ahner, Zorah and Bronstein, Alex M. and Bronstein, Michael M. and Solomon, Justin},
 + journal = {{Computer Graphics Forum}},
 + volume = 38,
 + issue = 1,
 + year = {2019},
 + note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href="https://arxiv.org/abs/1809.10940" target="_blank">[arxiv]</a>}},
 +}
 +
 +@article{Haefner2019A,
 +  title = {Variational Uncalibrated Photometric Stereo under General Lighting},
 +  author =  {Haefner, B. and Ye, Z. and Gao, M. and Wu, T. and Quéau, Y. and Cremers, D.},
 +  journal = {arXiv preprint arXiv:1904.03942},
 +  eprint = {1904.03942},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  year = {2019},
 +  titleurl = {haefner2019.pdf},
 +  note = {
 +  {<a href="/_media/spezial/bib/haefner2019supp.pdf" target="_blank">[supp]</a>}
 +},
 +  keywords={d-reconstruction,photometry,variational},
 } }
  
  
-@article{Haefner2018,+@article{Haefner2018A,
  title = {Photometric Depth Super-Resolution},  title = {Photometric Depth Super-Resolution},
  author =  {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.},  author =  {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.},
Line 7961: Line 7989:
  year = {2018},  year = {2018},
  titleurl = {haefner2018.pdf},  titleurl = {haefner2018.pdf},
- note = {{<a href="/_media/spezial/bib/haefner2018supp.pdf" target="_blank">[supp]</a>+ note = { 
-{<a href="http://arxiv.org/abs/1809.10097" target="_blank">[arxiv]</a>}{<a href="https://vision.in.tum.de/data/datasets/photometricdepthsr" target="_blank">[project page]</a>}},+{<a href="/_media/spezial/bib/haefner2018supp.pdf" target="_blank">[supp]</a>
 +{<a href="http://arxiv.org/abs/1809.10097" target="_blank">[arxiv]</a>} 
 +{<a href="https://vision.in.tum.de/data/datasets/photometricdepthsr" target="_blank">[project page]</a>} 
 +},
 keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
-} 
- 
-@article{rodola2018funmaprep, 
- title = {Functional Maps Representation on Product Manifolds}, 
- author =  {Rodol\`a, Emanuele and L\"ahner, Zorah and Bronstein, Alex M. and Bronstein, Michael M. and Solomon, Justin}, 
- journal = {{Computer Graphics Forum (Proceedings Symposium on Geometry Processing (SGP))}}, 
- year = {2019}, 
- note = {{<a href="https://arxiv.org/abs/1809.10940" target="_blank">[arxiv]</a>}}, 
 } }
  
Line 7982: Line 8005:
  year = {2018},  year = {2018},
  titleurl = {haefner2018cvpr.pdf},  titleurl = {haefner2018cvpr.pdf},
-note = {{<a href="/_media/spezial/bib/haefner2018cvprsupp.pdf" target="_blank">[supp]</a>} {<a href="https://github.com/BjoernHaefner/DepthSRfromShading" target="_blank">[code]</a>+note = { 
-{<a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html" target="_blank">[cvf]</a>}{<a href="https://youtu.be/WrEKJeK-Wow?t=52m25s" target="_blank">[video]</a>}}, +{<a href="/_media/spezial/bib/haefner2018cvprsupp.pdf" target="_blank">[supp]</a>} 
- award = {Spotlight Presentation},+{<a href="https://github.com/BjoernHaefner/DepthSRfromShading" target="_blank">[code]</a>
 +{<a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html" target="_blank">[cvf]</a>} 
 +{<a href="https://youtu.be/WrEKJeK-Wow?t=52m25s" target="_blank">[video]</a>} 
 +}, 
 +award = {Spotlight Presentation},
 keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
 } }
Line 7996: Line 8023:
  award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},  award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},
  titleurl = {peng2017iccvw.pdf},  titleurl = {peng2017iccvw.pdf},
- note = {{<a href="https://github.com/pengsongyou/SRmeetsPS" target="_blank">[code]</a>,<a href="http://openaccess.thecvf.com/content_ICCV_2017_workshops/w43/html/Peng_Depth_Super-Resolution_Meets_ICCV_2017_paper.html" target="_blank">[cvf]</a>}},,+ note = { 
 +{<a href="https://github.com/pengsongyou/SRmeetsPS" target="_blank">[code]</a>
 +{<a href="http://openaccess.thecvf.com/content_ICCV_2017_workshops/w43/html/Peng_Depth_Super-Resolution_Meets_ICCV_2017_paper.html" target="_blank">[cvf]</a>} 
 +},
 keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
 } }
Line 8110: Line 8140:
   note = {{This paper was also selected by ICRA'18 for presentation at the conference.<a href="https://arxiv.org/abs/1710.02081" target="_blank">[arxiv]<a href="https://youtu.be/nQHMG0c6Iew" target="_blank">[video]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[code]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a>}},    note = {{This paper was also selected by ICRA'18 for presentation at the conference.<a href="https://arxiv.org/abs/1710.02081" target="_blank">[arxiv]<a href="https://youtu.be/nQHMG0c6Iew" target="_blank">[video]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[code]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a>}}, 
   award = {ICRA'18 Best Vision Paper Award - Finalist}   award = {ICRA'18 Best Vision Paper Award - Finalist}
 +}
 +
 +@InProceedings{laude-et-al-transductive,
 +  author = "E. Laude and J.-H. Lange and J. Sch{\"u}pfer and C. Domokos and L. Leal-Taix{\'e} and F. R. Schmidt and B. Andres and D. Cremers",
 +  title = "Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s",
 +  booktitle=cvpr,
 +  year = "2018",
 +  titleurl = {laude-2018-discrete-continuous.pdf}
 } }
  
Line 8137: Line 8175:
 } }
  
-@inproceedings{Kukacka-et-al-2017,+@article{Kukacka-et-al-2017,
   author = {J. Kukačka and V. Golkov and D. Cremers},   author = {J. Kukačka and V. Golkov and D. Cremers},
   title = {Regularization for Deep Learning: A Taxonomy},   title = {Regularization for Deep Learning: A Taxonomy},
   year = {2017},   year = {2017},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1710.10686}, 
-  note = {{<a href="https://arxiv.org/abs/1710.10686">arXiv:1710.10686</a>}}, +  eprint = {1710.10686}, 
-  booktitle = {ArXiv preprint},+  eprinttype = {arXiv},
   keywords = {deep learning, neural networks, regularization, data augmentation, network architecture, loss function, dropout, residual learning, optimization, deeplearning},   keywords = {deep learning, neural networks, regularization, data augmentation, network architecture, loss function, dropout, residual learning, optimization, deeplearning},
 } }
Line 8182: Line 8220:
 } }
  
-@inproceedings{Aljalbout-et-al-2018, +@article{Aljalbout-et-al-2018, 
-  author = {E. Aljalbout and V. Golkov and Y. Siddiqui and D. Cremers},+  author = {E. Aljalbout and V. Golkov and Y. Siddiqui and M. Strobel and D. Cremers},
   title = {Clustering with Deep Learning: Taxonomy and New Methods},   title = {Clustering with Deep Learning: Taxonomy and New Methods},
   year = {2018},   year = {2018},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1801.07648}, 
-  note = {{<a href="https://arxiv.org/abs/1801.07648">arXiv:1801.07648</a>}}, +  eprint = {1801.07648}, 
-  booktitle = {ArXiv preprint},+  eprinttype = {arXiv},  
   keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning},   keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning},
 } }
Line 8217: Line 8255:
 eprint = {arXiv:1801.06397}, eprint = {arXiv:1801.06397},
 note = {{<a href="https://arxiv.org/abs/1801.06397" target="_blank">arxiv</a>}}, note = {{<a href="https://arxiv.org/abs/1801.06397" target="_blank">arxiv</a>}},
-keywords = {deeplearning}+keywords = {deeplearning, optical-flow}
 } }
  
Line 8275: Line 8313:
 } }
  
-@InProceedings{laude-et-al-transductive, +
-  author = "E. Laude and J.-H. Lange and J. Sch{\"u}pfer and C. Domokos and L. Leal-Taix{\'e} and F. R. Schmidt and B. Andres and D. Cremers", +
-  title = "Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s", +
-  booktitle=cvpr, +
-  year = "2018", +
-  titleurl = {laude-2018-discrete-continuous.pdf} +
-}+
 @InProceedings{ @InProceedings{
   author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel",   author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel",
Line 8331: Line 8363:
 } }
  
-@inproceedings{Vasilev-et-al-2018,+@article{Vasilev-et-al-2018,
   author = {A. Vasilev and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},   author = {A. Vasilev and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},
   title = {{q}-{S}pace Novelty Detection with Variational Autoencoders},   title = {{q}-{S}pace Novelty Detection with Variational Autoencoders},
   year = {2018},   year = {2018},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1806.02997}, 
-  note = {{<a href="https://arxiv.org/abs/1806.02997">arXiv:1806.02997</a>}}, +  eprint = {1806.02997}, 
-  booktitle = {ArXiv preprint},+  eprinttype = {arXiv},
   keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, biomed},   keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, biomed},
 } }
Line 8517: Line 8549:
 } }
  
 +@article{roy2019noninvasive,
 + title={A Non-invasive {3D} Body Scanner and Software Tool towards Analysis of Scoliosis},
 + author={S. Roy and A.T.D. Gruenwald and A. Alves-Pinto and R. Maier and D. Cremers and D. Pfeiffer and R. Lampe},
 + journal={BioMed Research International (BMRI)},
 + year={2019},
 + month={May},
 +  keywords={rgb-d,reconstruction,3d-reconstruction,3d-scanning,medical,medical imaging},
 +  note = {{<a href="http://downloads.hindawi.com/journals/bmri/2019/4715720.pdf" target="_blank">[pdf]</a>}}
 +}
  
 +@inproceedings{bylow2019combining,
 + title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models},
 + author={E. Bylow and R. Maier and F. Kahl and C. Olsson},
 + booktitle={Scandinavian Conference on Image Analysis (SCIA)},
 + year={2019},
 + month={June},
 + address={Norrk{\"o}ping, Sweden},
 +  keywords={rgb-d,reconstruction,3d-reconstruction,photometric-stereo}
 +}
 +
 +@InProceedings{laude-wu-cremers-aistats-19,
 +  author = "E. Laude and T. Wu and D. Cremers",
 +  title = {Optimization of Inf-Convolution Regularized Nonconvex Composite Problems},
 +  booktitle = {International Conference on Artificial
 +Intelligence and Statistics (AISTATS)},
 +  year = "2019",
 +  titleurl = {laude-wu-cremers-aistats-19.pdf}
 +}
 +
 +@InProceedings{moellenh-cvpr-19,
 +  author = {T. M{\"o}llenhoff and D. Cremers},
 +  title = {Lifting Vectorial Variational Problems: A Natural Formulation based on
 +Geometric Measure Theory and Discrete Exterior Calculus},
 +  booktitle=cvpr,
 +  year = "2019",
 +  titleurl = {moellenh-cvpr-19.pdf},
 +  note = {{<a href="https://arxiv.org/abs/1905.00851">arXiv:1905.00851</a>}},
 +  award = {Oral Presentation}
 +}
 +
 +@article{moeller-et-al-19,
 +  author = "M. Moeller and T. M{\"o}llenhoff and D. Cremers",
 +  title = "Controlling Neural Networks via Energy Dissipation",
 +  journal = {preprint},
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1904.03081">arXiv</a>}}
 +}
 +
 +@InProceedings{usenko19nfr,
 +  author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers",
 +  title = "Visual-Inertial Mapping with Non-Linear Factor Recovery",
 +  eprint = {1904.06504},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle={arXiv:1904.06504},
 +  year = "2019",
 +  keywords = nfr
 +}
 +
 +@Article{Pasa-et-al-2019,
 +author={F. Pasa and V. Golkov and F. Pfeiffer and D. Cremers and D. Pfeiffer},
 +title={Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization},
 +journal={Scientific Reports},
 +year={2019},
 +volume={9},
 +number={1},
 +pages={6268},
 +issn={2045-2322},
 +doi={10.1038/s41598-019-42557-4},
 +url={https://www.nature.com/articles/s41598-019-42557-4},
 +keywords={medical imaging,deeplearning}
 +}
 +
 +@article{wang19DirectShape,
 +  author = "R. Wang and N. Yang and J. Stueckler and D. Cremers",
 +  title = "DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation",
 +  journal = {preprint},
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1904.10097" target="_blank">[arxiv]</a><a href="https://youtu.be/QqP6zdx5OKw" target="_blank">[video]</a> Project page is under construction.}},
 +  keywords = {stereo, 3D reconstruction, semantic SLAM, 3D object detection, scene understanding}
 +}
 +
 +@article{Schuchardt-et-al-2019,
 +  author = {J. Schuchardt and V. Golkov and D. Cremers},
 +  title = {Learning to Evolve},
 +  year = {2019},
 +  journal = {arXiv preprint arXiv:1905.03389},
 +  eprint = {1905.03389},
 +  eprinttype = {arXiv},
 +  keywords = {evolutionary algorithms, evolutionary computation, genetic algorithms, deep learning, neural networks, reinforcement learning, deeplearning},
 +}
 +
 +@InProceedings{flatgan-icml-19,
 +  author = "T. M{\"o}llenhoff and D. Cremers",
 +  title = "Flat Metric Minimization with Applications in Generative Modeling",
 +  booktitle = "International Conference on Machine Learning (ICML)",
 +  primaryClass = "cs.LG",
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1905.04730">arXiv:1905.04730</a>, <a href="https://github.com/moellenh/flatgan">code</a>}},
 +  award = {Full Oral Presentation}
 +}
 +
 +@InProceedings{Frerix2019-givens,
 +  author = "T. Frerix and J. Bruna",
 +  title = "Approximating Orthogonal Matrices with Effective Givens Factorization",
 +  booktitle = "International Conference on Machine Learning (ICML 2019)",
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1905.05796">arXiv:1905.05796</a>, <a href="https://github.com/tfrerix/givens-factorization">code</a>}}
 +}

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04.03.2024

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

18.07.2023

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

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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