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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 [2018/09/15 21:54]
PD Dr. habil. Rudolph Triebel
spezial:bib [2019/06/25 15:30]
moellenh
Line 8: Line 8:
  
 @STRING{ismar= {International Symposium on Mixed and Augmented Reality}} @STRING{ismar= {International Symposium on Mixed and Augmented Reality}}
-on+
 @STRING{ai = {Artificial Intelligence}} @STRING{ai = {Artificial Intelligence}}
  
Line 3713: Line 3713:
  year = {2009},  year = {2009},
  address = {Jena, Germany},  address = {Jena, Germany},
 + keywords = {optical-flow},
 titleurl = {mitzel_et_al_dagm09.pdf} titleurl = {mitzel_et_al_dagm09.pdf}
 } }
Line 3943: Line 3944:
   address = {Germany},   address = {Germany},
   month = jul,   month = jul,
 +  keywords = {optical-flow},
   titleurl = {nieuwenhuis_PhDThesis.pdf},   titleurl = {nieuwenhuis_PhDThesis.pdf},
 } }
Line 4444: Line 4446:
 pages ={1449--1462}, pages ={1449--1462},
 topic={optical flow}, topic={optical flow},
-keywords = {optical flow},+keywords = {optical flow,optical-flow},
   titleurl = {kybic_nieuwenhuis.pdf}   titleurl = {kybic_nieuwenhuis.pdf}
 } }
Line 4616: Line 4618:
   booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)},   booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
   address = {Prag, Czech Republic},   address = {Prag, Czech Republic},
 +  keywords = {optical-flow},
   titleurl = {2011_SKC_ICASSP.pdf}   titleurl = {2011_SKC_ICASSP.pdf}
 } }
Line 4951: Line 4954:
 @incollection{Golkov-et-al-cdmri14, @incollection{Golkov-et-al-cdmri14,
   author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers},   author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers},
-  title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate},+  title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per {q}-Space Coordinate},
   booktitle = {Computational Diffusion MRI},    booktitle = {Computational Diffusion MRI}, 
   publisher = {Springer},   publisher = {Springer},
Line 4961: Line 4964:
 @inproceedings{Golkov-et-al-esmrmb13-comparison, @inproceedings{Golkov-et-al-esmrmb13-comparison,
   author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},   author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},
-  title = {Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation},+  title = {Effects of Low-Rank Constraints, Line-Process Denoising, and {q}-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation},
   booktitle = esmrmb,   booktitle = esmrmb,
   year = 2013,   year = 2013,
Line 5012: Line 5015:
 @inproceedings{Golkov-et-al-ismrm13, @inproceedings{Golkov-et-al-ismrm13,
   author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl},   author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl},
-  title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing},+  title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with {q}-Space Compressed Sensing},
   booktitle = ismrm,   booktitle = ismrm,
   year = 2013,   year = 2013,
Line 5922: Line 5925:
     keywords={rgb-d,rgb-d benchmark},     keywords={rgb-d,rgb-d benchmark},
     note = {{<a href="/_media/spezial/bib/maier2014gcpr_slides.pdf" target="_blank">[slides]</a>}},     note = {{<a href="/_media/spezial/bib/maier2014gcpr_slides.pdf" target="_blank">[slides]</a>}},
 +  award = {Oral Presentation}
 } }
  
Line 7283: Line 7287:
   url          = "http://lmb.informatik.uni-freiburg.de//Publications/2016/MIFDB16",   url          = "http://lmb.informatik.uni-freiburg.de//Publications/2016/MIFDB16",
      
-  keywords = {deeplearning, scene-flow}+  keywords = {deeplearning, scene-flow, optical-flow}
 } }
  
Line 7562: Line 7566:
   titleurl = {2017_ProductManifoldFilter.pdf},   titleurl = {2017_ProductManifoldFilter.pdf},
   topic = {Shape Analysis, Shape Matching},   topic = {Shape Analysis, Shape Matching},
-  note = {{<a href="/_media/spezial/bib/pmf_minimal.zip" target="_blank">[Code]</a>}},  +  note = {{<a href="/_media/spezial/bib/pmf_minimal.zip" target="_blank">[Code]</a>}, also check the related {<a href="https://github.com/zorah/KernelMatching" target="_blank">github repository</a>}},  
 } }
  
Line 7570: Line 7574:
 @inproceedings{dzitsiuk2017icra, @inproceedings{dzitsiuk2017icra,
  title={De-noising, Stabilizing and Completing {3D} Reconstructions On-the-go using Plane Priors},  title={De-noising, Stabilizing and Completing {3D} Reconstructions On-the-go using Plane Priors},
- author={Dzitsiuk, M. and Sturm, J. and Maier, R. and Ma, L. and Cremers, D.},+ author={M. Dzitsiuk and J. Sturm and R. Maier and L. Ma and D. Cremers},
  booktitle={International Conference on Robotics and Automation (ICRA)},  booktitle={International Conference on Robotics and Automation (ICRA)},
  year={2017},  year={2017},
Line 7617: Line 7621:
  
 @article{Mecca2016Single, @article{Mecca2016Single,
-  author={Mecca, R. and Queau, Y. and Logothetis, F. and Cipolla, R.},+  author={Mecca, R. and Quéau, Y. and Logothetis, F. and Cipolla, R.},
   title={{A Single-Lobe Photometric Stereo Approach for Heterogeneous Material}},   title={{A Single-Lobe Photometric Stereo Approach for Heterogeneous Material}},
   journal={SIAM Journal on Imaging Sciences},   journal={SIAM Journal on Imaging Sciences},
Line 7658: Line 7662:
 } }
  
-@inproceedings{Golkov-et-al-arxiv2017-function3d,+@article{Golkov-et-al-arxiv2017-function3d,
   author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers},   author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers},
   title = {3D Deep Learning for Biological Function Prediction from Physical Fields},   title = {3D Deep Learning for Biological Function Prediction from Physical Fields},
   year = {2017},   year = {2017},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1704.04039}, 
-  note = {{<a href="https://arxiv.org/abs/1704.04039">arXiv:1704.04039</a>}}, +  eprint = {1704.04039}, 
-  booktitle = {ArXiv preprint},+  eprinttype = {arXiv},
   keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning},   keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning},
 } }
Line 7766: Line 7770:
 @inproceedings{QueauCVPR2017, @inproceedings{QueauCVPR2017,
 address = {Honlulu, USA}, address = {Honlulu, USA},
-author = {Queau, Y. and Wu, T. and Lauze, F. and Durou, J.-D. and Cremers, D.},+author = {Quéau, Y. and Wu, T. and Lauze, F. and Durou, J.-D. and Cremers, D.},
 booktitle = cvpr, booktitle = cvpr,
 title = {{A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting}}, title = {{A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting}},
Line 7787: Line 7791:
 } }
  
-@InProceedings{hazirbas17ddff+@InProceedings{hazirbas18ddff
- author = "Caner Hazirbas and + author = "Caner Hazirbas and Sebastian Georg Soyer and Maximilian Christian Staab and Laura Leal-Taixé and Daniel Cremers", 
-          Laura Leal-Taixé and + title = {{Deep Depth From Focus}}, 
-          Daniel Cremers", + year = "2018", 
- title = {{<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>}}, + month = "December", 
- year = "2017", + booktitle = "Asian Conference on Computer Vision (ACCV)", 
- booktitle = "ArXiv preprint arXiv:1704.01085", + note = {{<a href="https://arxiv.org/abs/1704.01085" target="_blank">[arxiv]</a>}, {<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>},{<a href="https://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}},
- note = {{<a href="https://arxiv.org/abs/1704.01085" target="_blank">[arxiv]</a>}, {<a href="https://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}},+
  keywords = {deeplearning},  keywords = {deeplearning},
 } }
Line 7924: Line 7927:
 @inproceedings{maier2017efficient, @inproceedings{maier2017efficient,
  title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction},  title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction},
- author={Maier, R. and Schaller, R. and Cremers, D.},+ author={R. Maier and R. Schaller and D. Cremers},
  booktitle={British Machine Vision Conference (BMVC)},  booktitle={British Machine Vision Conference (BMVC)},
  year={2017},  year={2017},
Line 7935: Line 7938:
 @inproceedings{golyanik2017multiframe, @inproceedings{golyanik2017multiframe,
  title={Multiframe Scene Flow with Piecewise Rigid Motion},  title={Multiframe Scene Flow with Piecewise Rigid Motion},
- author={Golyanik, V. and Kim, K. and Maier, R. and Nie{\ss}ner, M. and Stricker, D. and Kautz, J.},+ author={V. Golyanik and K. Kim and R. Maier and M. Niessner and D. Stricker and J. Kautz},
  booktitle={International Conference on 3D Vision (3DV)},  booktitle={International Conference on 3D Vision (3DV)},
  year={2017},  year={2017},
  month={October},  month={October},
  address={Qingdao, China},  address={Qingdao, China},
 + award = {Spotlight Presentation},
   keywords={scene-flow,motion segmentation,rgb-d},   keywords={scene-flow,motion segmentation,rgb-d},
   note = {{<a href="/_media/spezial/bib/golyanik2017multiframe_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/golyanik2017multiframe_poster.pdf" target="_blank">[poster]</a>  <a href="/_media/spezial/bib/golyanik2017multiframe_supplementary.pdf" target="_blank">[supplementary]</a>}}   note = {{<a href="/_media/spezial/bib/golyanik2017multiframe_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/golyanik2017multiframe_poster.pdf" target="_blank">[poster]</a>  <a href="/_media/spezial/bib/golyanik2017multiframe_supplementary.pdf" target="_blank">[supplementary]</a>}}
Line 7946: Line 7950:
 @inproceedings{maier2017intrinsic3d, @inproceedings{maier2017intrinsic3d,
  title={Intrinsic3D: High-Quality {3D} Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting},  title={Intrinsic3D: High-Quality {3D} Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting},
- author={Maier, R. and Kim, K. and Cremers, D. and Kautz, J. and Nie{\ss}ner, M.},+ author={R. Maier and K. Kim and D. Cremers and J. Kautz and M. Niessner},
  booktitle={International Conference on Computer Vision (ICCV)},  booktitle={International Conference on Computer Vision (ICCV)},
  year={2017},  year={2017},
Line 7952: Line 7956:
  address={Venice, Italy},  address={Venice, Italy},
   keywords={rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d},   keywords={rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d},
-  note = {{<a href="/_media/spezial/bib/maier2017intrinsic3d_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/maier2017intrinsic3d_poster.pdf" target="_blank">[poster]</a> <a href="/data/datasets/intrinsic3d" target="_blank">[dataset]</a>}}+  note = {{<a href="/_media/spezial/bib/maier2017intrinsic3d_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/maier2017intrinsic3d_poster.pdf" target="_blank">[poster]</a> <a href="/data/datasets/intrinsic3d" target="_blank">[dataset]</a> <a href="https://github.com/NVlabs/intrinsic3d" target="_blank">[code]</a>}} 
 +
 + 
 +@article{rodola2018funmaprep, 
 + title = {Functional Maps Representation on Product Manifolds}, 
 + author =  {Rodol\`a, Emanuele and L\"ahner, Zorah and Bronstein, Alex M. and Bronstein, Michael M. and Solomon, Justin}, 
 + journal = {{Computer Graphics Forum}}, 
 + volume = 38, 
 + issue = 1, 
 + year = {2019}, 
 + note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href="https://arxiv.org/abs/1809.10940" target="_blank">[arxiv]</a>}}, 
 +
 + 
 +@article{Haefner2019A, 
 +  title = {Variational Uncalibrated Photometric Stereo under General Lighting}, 
 +  author =  {Haefner, B. and Ye, Z. and Gao, M. and Wu, T. and Quéau, Y. and Cremers, D.}, 
 +  journal = {arXiv preprint arXiv:1904.03942}, 
 +  eprint = {1904.03942}, 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV}, 
 +  year = {2019}, 
 +  titleurl = {haefner2019.pdf}, 
 +  note = { 
 +  {<a href="/_media/spezial/bib/haefner2019supp.pdf" target="_blank">[supp]</a>
 +}, 
 +  keywords={d-reconstruction,photometry,variational}, 
 +
 + 
 + 
 +@article{Haefner2018A, 
 + title = {Photometric Depth Super-Resolution}, 
 + author =  {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.}, 
 + journal = {{IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}}, 
 + year = {2019}, 
 + titleurl = {haefner2018.pdf}, 
 + note = { 
 +{<a href="/_media/spezial/bib/haefner2018supp.pdf" target="_blank">[supp]</a>
 +{<a href="http://arxiv.org/abs/1809.10097" target="_blank">[arxiv]</a>
 +{<a href="https://vision.in.tum.de/data/datasets/photometricdepthsr" target="_blank">[project page]</a>
 +}, 
 +keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, 
 +
 + 
 + 
 +@inproceedings{Haefner2018CVPR, 
 + title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading}, 
 + author =  {Haefner, B. and Quéau, Y. and Möllenhoff, T. and Cremers, D.}, 
 + booktitle = {I{EEE} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition 
 +    (CVPR)}, 
 + year = {2018}, 
 + titleurl = {haefner2018cvpr.pdf}, 
 +note = { 
 +{<a href="/_media/spezial/bib/haefner2018cvprsupp.pdf" target="_blank">[supp]</a>
 +{<a href="https://github.com/BjoernHaefner/DepthSRfromShading" target="_blank">[code]</a>
 +{<a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html" target="_blank">[cvf]</a>
 +{<a href="https://youtu.be/WrEKJeK-Wow?t=52m25s" target="_blank">[video]</a>
 +}, 
 +award = {Spotlight Presentation}, 
 +keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
 } }
  
Line 7963: Line 8025:
  award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},  award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},
  titleurl = {peng2017iccvw.pdf},  titleurl = {peng2017iccvw.pdf},
- note = {{<a href="https://github.com/pengsongyou/SRmeetsPS" target="_blank">[code]</a>,<a href="http://openaccess.thecvf.com/content_ICCV_2017_workshops/w43/html/Peng_Depth_Super-Resolution_Meets_ICCV_2017_paper.html" target="_blank">[cvf]</a>}},+ note = { 
 +{<a href="https://github.com/pengsongyou/SRmeetsPS" target="_blank">[code]</a>
 +{<a href="http://openaccess.thecvf.com/content_ICCV_2017_workshops/w43/html/Peng_Depth_Super-Resolution_Meets_ICCV_2017_paper.html" target="_blank">[cvf]</a>} 
 +}, 
 +keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
 } }
  
Line 7969: Line 8035:
 @inproceedings{wang2017stereoDSO, @inproceedings{wang2017stereoDSO,
  title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras},  title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras},
- author={Wang, R. and Schw\"orer, M. and Cremers, D.},+        author={R. Wang and M. Schw\"orer and D. Cremers},
  booktitle={International Conference on Computer Vision (ICCV)},  booktitle={International Conference on Computer Vision (ICCV)},
  year={2017},  year={2017},
Line 7975: Line 8041:
  address={Venice, Italy},  address={Venice, Italy},
   keywords={dso, visual odometry, stereo, 3D reconstruction, stereodso},   keywords={dso, visual odometry, stereo, 3D reconstruction, stereodso},
-        note = {{<a href="/_media/spezial/bib/wang2017stereoDSO-supp.pdf" target="_blank">[supplementary]</a>}{<a href="https://youtu.be/A53vJO8eygw" target="_blank">[video]</a><a href="https://arxiv.org/abs/1708.07878" target="_blank">[arxiv]</a>}{<a href="https://vision.in.tum.de/research/vslam/stereo-dso" target="_blank">[project]</a>}}+        note = {{<a href="/_media/spezial/bib/wang2017stereoDSO-supp.pdf" target="_blank">[supplementary]</a>}{<a href="https://youtu.be/A53vJO8eygw" target="_blank">[video]<a href="https://arxiv.org/abs/1708.07878" target="_blank">[arxiv]</a>}{<a href="https://vision.in.tum.de/research/vslam/stereo-dso" target="_blank">[project]</a>}}
 } }
  
Line 8074: Line 8140:
   titleurl = {bergmann17calibration.pdf},   titleurl = {bergmann17calibration.pdf},
   keywords={visual odometry, calibration, SLAM, direct, dso, photometric-calibration},   keywords={visual odometry, calibration, SLAM, direct, dso, photometric-calibration},
-  note = {{This paper was also selected by ICRA'18 for presentation at the conference.<a href="https://arxiv.org/abs/1710.02081" target="_blank">[arxiv]</a><a href="https://youtu.be/nQHMG0c6Iew" target="_blank">[video]</a><a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[code]</a><a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a>}}, +  note = {{This paper was also selected by ICRA'18 for presentation at the conference.<a href="https://arxiv.org/abs/1710.02081" target="_blank">[arxiv]<a href="https://youtu.be/nQHMG0c6Iew" target="_blank">[video]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[code]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a>}}, 
   award = {ICRA'18 Best Vision Paper Award - Finalist}   award = {ICRA'18 Best Vision Paper Award - Finalist}
 +}
 +
 +@InProceedings{laude-et-al-transductive,
 +  author = "E. Laude and J.-H. Lange and J. Sch{\"u}pfer and C. Domokos and L. Leal-Taix{\'e} and F. R. Schmidt and B. Andres and D. Cremers",
 +  title = "Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s",
 +  booktitle=cvpr,
 +  year = "2018",
 +  titleurl = {laude-2018-discrete-continuous.pdf}
 } }
  
Line 8103: Line 8177:
 } }
  
-@inproceedings{Kukacka-et-al-2017,+@article{Kukacka-et-al-2017,
   author = {J. Kukačka and V. Golkov and D. Cremers},   author = {J. Kukačka and V. Golkov and D. Cremers},
   title = {Regularization for Deep Learning: A Taxonomy},   title = {Regularization for Deep Learning: A Taxonomy},
   year = {2017},   year = {2017},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1710.10686}, 
-  note = {{<a href="https://arxiv.org/abs/1710.10686">arXiv:1710.10686</a>}}, +  eprint = {1710.10686}, 
-  booktitle = {ArXiv preprint},+  eprinttype = {arXiv},
   keywords = {deep learning, neural networks, regularization, data augmentation, network architecture, loss function, dropout, residual learning, optimization, deeplearning},   keywords = {deep learning, neural networks, regularization, data augmentation, network architecture, loss function, dropout, residual learning, optimization, deeplearning},
 } }
Line 8119: Line 8193:
   booktitle = ismrm,   booktitle = ismrm,
   keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation},   keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation},
 +}
 +
 +@inproceedings{Swazinna-et-al-ismrm2019,
 +  author = {P. Swazinna and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},
 +  title = {Negative-Unlabeled Learning for Diffusion MRI},
 +  year = {2019},
 +  booktitle = ismrm,
 +  keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, positive-unlabeled learning, semi-supervised learning, localization, deeplearning},
 } }
  
Line 8130: Line 8212:
  
  
-@inproceedings{Aljalbout-et-al-2018, +@inproceedings{Do-et-al-2018-pre-miRNA, 
-  author = {E. Aljalbout and V. Golkov and Y. Siddiqui and D. Cremers},+  author = {B. T. Do and V. Golkov and G. E. G\"urel and D. Cremers}, 
 +  title = {Precursor microRNA Identification Using Deep Convolutional Neural Networks}, 
 +  year = {2018}, 
 +%  howpublished = {Preprint}, 
 +  note = {{<a href="https://www.biorxiv.org/content/early/2018/09/16/414656">bioRxiv:414656</a>}}, 
 +  booktitle = {bioRxiv preprint}, 
 +  keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, biology, gene regulation}, 
 +
 + 
 +@article{Aljalbout-et-al-2018, 
 +  author = {E. Aljalbout and V. Golkov and Y. Siddiqui and M. Strobel and D. Cremers},
   title = {Clustering with Deep Learning: Taxonomy and New Methods},   title = {Clustering with Deep Learning: Taxonomy and New Methods},
   year = {2018},   year = {2018},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1801.07648}, 
-  note = {{<a href="https://arxiv.org/abs/1801.07648">arXiv:1801.07648</a>}}, +  eprint = {1801.07648}, 
-  booktitle = {ArXiv preprint},+  eprinttype = {arXiv},  
   keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning},   keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning},
 } }
Line 8162: Line 8254:
 booktitle= ijcv, booktitle= ijcv,
 year = {2018}, year = {2018},
 +month = {September},
 eprint = {arXiv:1801.06397}, eprint = {arXiv:1801.06397},
 note = {{<a href="https://arxiv.org/abs/1801.06397" target="_blank">arxiv</a>}}, note = {{<a href="https://arxiv.org/abs/1801.06397" target="_blank">arxiv</a>}},
-keywords = {deeplearning}+keywords = {deeplearning, optical-flow}
 } }
 +
  
 @InProceedings{Frerix-et-al-18, @InProceedings{Frerix-et-al-18,
Line 8174: Line 8268:
   year = "2018",   year = "2018",
   note = {{<a href="https://arxiv.org/abs/1706.04638">arXiv:1706.04638</a>, <a href="https://github.com/tfrerix/proxprop">code</a>}}   note = {{<a href="https://arxiv.org/abs/1706.04638">arXiv:1706.04638</a>, <a href="https://github.com/tfrerix/proxprop">code</a>}}
-} 
- 
-@inproceedings{Haefner2018CVPR, 
- title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading}, 
- author =  {Haefner, B. and Quéau, Y. and Möllenhoff, T. and Cremers, D.}, 
- booktitle = {I{EEE} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition 
-    (CVPR)}, 
- year = {2018}, 
- titleurl = {haefner2018cvpr.pdf}, 
-note = {{<a href="/_media/spezial/bib/haefner2018cvprsupp.pdf" target="_blank">[supp]</a>} {<a href="https://github.com/BjoernHaefner/DepthSRfromShading" target="_blank">[code]</a>} 
-{<a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html" target="_blank">[cvf]</a>}{<a href="https://youtu.be/WrEKJeK-Wow?t=52m25s" target="_blank">[video]</a>}}, 
- award = {Spotlight Presentation}, 
 } }
  
Line 8233: Line 8315:
 } }
  
-@InProceedings{laude-et-al-transductive, +
-  author = "E. Laude and J.-H. Lange and J. Schüpfer and C. Domokos and L. Leal-Taixé and F. R. Schmidt and B. Andres and D. Cremers", +
-  title = "Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs", +
-  booktitle=cvpr, +
-  year = "2018", +
-  titleurl = {laude-2018-discrete-continuous.pdf} +
-}+
 @InProceedings{ @InProceedings{
   author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel",   author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel",
Line 8263: Line 8339:
   year = "2018",   year = "2018",
   month = "October",   month = "October",
-  note = {accepted, to appear, {<a href="https://arxiv.org/abs/1804.06120" target="_blank">[arxiv]</a>}},+  note = {{<a href="https://arxiv.org/abs/1804.06120" target="_blank">[arxiv]</a>}},
   keywords = tumvi   keywords = tumvi
 } }
Line 8272: Line 8348:
   author = "X. Gao and R. Wang and N. Demmel and D. Cremers",   author = "X. Gao and R. Wang and N. Demmel and D. Cremers",
   title = "LDSO: Direct Sparse Odometry with Loop Closure",   title = "LDSO: Direct Sparse Odometry with Loop Closure",
-  booktitle = iros,+  booktitle = "iros",
   arXiv = "arXiv:1808.01111",   arXiv = "arXiv:1808.01111",
   year = "2018",   year = "2018",
   month = "October",   month = "October",
-  note = {{<a href="https://arxiv.org/abs/1808.01111" target="_blank">[arxiv]</a>}},+  note = {{<a href="https://arxiv.org/abs/1808.01111" target="_blank">[arxiv]</a>}{<a href="https://youtu.be/LEvOSzyZUvc" target="_blank">[video]</a>}{<a href="https://github.com/tum-vision/LDSO" target="_blank">[code]</a>}{<a href="https://vision.in.tum.de/research/vslam/ldso" target="_blank">[project]</a>}},
   keywords = {dso, ldso}   keywords = {dso, ldso}
 } }
Line 8289: Line 8365:
 } }
  
-@inproceedings{Vasilev-et-al-2018, +@article{Vasilev-et-al-2018, 
-  author = {A. Vasilev and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},+  author = {A. Vasilev and V. Golkov and M. Meissner and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},
   title = {{q}-{S}pace Novelty Detection with Variational Autoencoders},   title = {{q}-{S}pace Novelty Detection with Variational Autoencoders},
   year = {2018},   year = {2018},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1806.02997}, 
-  note = {{<a href="https://arxiv.org/abs/1806.02997">arXiv:1806.02997</a>}}, +  eprint = {1806.02997}, 
-  booktitle = {ArXiv preprint},+  eprinttype = {arXiv},
   keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, biomed},   keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, biomed},
 } }
Line 8309: Line 8385:
 } }
  
-@InProceedings{eisenberger2018divfree,+@article{eisenberger2019divfree,
   author = "M. Eisenberger and Z. L\"ahner and D. Cremers",   author = "M. Eisenberger and Z. L\"ahner and D. Cremers",
-  title = "Divergence-Free Shape Interpolation and Correspondence", +  title = "Divergence-Free Shape Correspondence by Deformation", 
-  booktitle = "arXiv:1806.10417",+  journal = "Computer Graphics Forum",
   arXiv = " arXiv:1806.10417",   arXiv = " arXiv:1806.10417",
-  year = "2018", +  year = "2019", 
-  month = "Juni", +  month = "July", 
-  note = {{<a href="https://arxiv.org/abs/1806.10417" target="_blank">[arxiv]</a>}},+  note = {Will be presented at Symposium on Geometry Processing (SGP) {<a href="https://arxiv.org/abs/1806.10417" target="_blank">[arxiv]</a>}},
 } }
  
Line 8326: Line 8402:
   month = "September",   month = "September",
   award = {Oral Presentation},    award = {Oral Presentation}, 
- note = {{<a href="https://research.fb.com/publications/deepwrinkles-accurate-and-realistic-clothing-modeling/" target="_blank">[Homepage]</a>}}+ note = {{<a href="https://research.fb.com/publications/deepwrinkles-accurate-and-realistic-clothing-modeling/" target="_blank">[Homepage]</a>, <a href="https://www.youtube.com/watch?v=g2hmNE1AxjQ&list=PLqHzsfkXuhrvsjPdysCD72D9iFLH-VFgT&index=4" target="_blank">[Oral Presentation]</a>}}
 } }
  
Line 8332: Line 8408:
   author = "N. Yang and R. Wang and J. Stueckler and D. Cremers",   author = "N. Yang and R. Wang and J. Stueckler and D. Cremers",
   title = "Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry",   title = "Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry",
-  booktitle    = eccv,+  booktitle    = "eccv",
   year = "2018",   year = "2018",
   month = "September",   month = "September",
   award = {Oral Presentation},   award = {Oral Presentation},
-  note = {{<a href="https://arxiv.org/abs/1807.02570" target="_blank">[arxiv]</a>},{<a href="/_media/spezial/bib/yang2018dvso-supp.pdf"target="_blank">[supplementary]</a>},{<a href="https://youtu.be/sLZOeC9z_tw"target="_blank">[video]</a>}},+  note = {{<a href="https://arxiv.org/abs/1807.02570" target="_blank">[arxiv]</a>},{<a href="/_media/spezial/bib/yang2018dvso-supp.pdf"target="_blank">[supplementary]</a>},{<a href="https://youtu.be/sLZOeC9z_tw"target="_blank">[video]</a>},{<a href="https://youtu.be/2_nDLpGtY1Y"target="_blank">[talk]</a>},{<a href="https://vision.in.tum.de/research/vslam/dvso" target="_blank">[project]</a>}},
   keywords = {dso, dvso, deep learning, deeplearning, monocular depth estimation, semi-supervised learning, slam, visual odometry}   keywords = {dso, dvso, deep learning, deeplearning, monocular depth estimation, semi-supervised learning, slam, visual odometry}
 } }
Line 8389: Line 8465:
  year = 2018,  year = 2018,
         month = {Oct.},         month = {Oct.},
-}+  award = {Best Cognitive Robotics Paper Finalist},   
 +  }
 @InProceedings{grixa18iros, @InProceedings{grixa18iros,
  author = {I. Grixa and P. Schulz and W. St\"urzl and R. Triebel},  author = {I. Grixa and P. Schulz and W. St\"urzl and R. Triebel},
Line 8409: Line 8486:
 } }
  
 +@InProceedings{estellers2018,
 +  author = "V. Estellers and F. Schmidt and D. Cremers",
 +  title = "Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis",
 +  booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)},
 +  year = "2018",
 +  month = "September",
 +  keywords = "rgb-d",
 +  topic = "Shape Analysis",
 +  award = {Received the Best Paper Award at 3DV 2018},
 +  note = {{<a href="https://bitbucket.org/ginie/subdivision_surfaces_3dv2018/src/master/" target="_blank">[Code]</a>}}
 +
 +}
 +
 +@InProceedings{brucker18pose,
 + author = {M. Brucker and M. Durner and Z.-C. Márton and F. Bálint-Benczédi and M. Sundermeyer and R. Triebel},
 + title = {{6DoF} Pose Estimation for Industrial Manipulation based on Synthetic Data},
 + booktitle = {International Symposium on Experimental Robotics (ISER) },
 + address = {Buenos Aires, Argentina},
 + year = 2018,
 +        month = {Nov.}
 +}
 +@InProceedings{nissler18simultaneous,
 + author = {C. Nissler and M. Durner and Z.-C. Márton and R. Triebel},
 + title = {Simultaneous Calibration and Mapping},
 + booktitle = {International Symposium on Experimental Robotics (ISER) },
 + address = {Buenos Aires, Argentina},
 + year = 2018,
 +        month = {Nov.}
 +}
 +
 +@article{tjaden2018region,
 +  title={A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking},
 +  author={Tjaden, Henning and Schwanecke, Ulrich and Sch{\"o}mer, Elmar and Cremers, Daniel},
 +  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
 +  year={2018},
 +  titleurl = {tjaden_et_al_pami18.pdf}
 +}
 +
 +@inproceedings{wenzel18corl,
 +author = {P. Wenzel and Q. Khan and D. Cremers and L. Leal-Taixé},
 +booktitle = {Conference on Robot Learning (CoRL)},
 +title = {{Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs}},
 +year = {2018},
 +note = {{<a href="https://arxiv.org/abs/1807.01001" target="_blank">[arXiv]</a><a href="https://www.youtube.com/playlist?list=PLbT2smuiIncsR_s9YA6KFpsa8gMwus5u7" target="_blank">[videos]</a>}}
 +}
 +
 +@article{Frerix2019,
 +  author = "T. Frerix and M. Nie{\ss}ner and D. Cremers",
 +  title = "Homogeneous Linear Inequality Constraints for Neural Network Activations",
 +  journal = "preprint",
 +  primaryClass = "cs.LG",
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1902.01785">arXiv</a>}}
 +}
 +
 +@phdthesis{usenko_phd,
 + author = "Usenko, Vladyslav",
 + title = "Visual-Inertial Navigation for Autonomous Vehicles",
 + type = "Dissertation",
 + school = "Technische Universität München",
 + address = "München",
 + year = 2019,
 +        note = {{<a href="http://mediatum.ub.tum.de/?id=1454207">library link</a>}}
 +}
 +
 +@article{roy2019noninvasive,
 + title={A Non-invasive {3D} Body Scanner and Software Tool towards Analysis of Scoliosis},
 + author={S. Roy and A.T.D. Gruenwald and A. Alves-Pinto and R. Maier and D. Cremers and D. Pfeiffer and R. Lampe},
 + journal={BioMed Research International (BMRI)},
 + year={2019},
 + month={May},
 +  keywords={rgb-d,reconstruction,3d-reconstruction,3d-scanning,medical,medical imaging},
 +  note = {{<a href="http://downloads.hindawi.com/journals/bmri/2019/4715720.pdf" target="_blank">[pdf]</a>}}
 +}
 +
 +@inproceedings{bylow2019combining,
 + title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models},
 + author={E. Bylow and R. Maier and F. Kahl and C. Olsson},
 + booktitle={Scandinavian Conference on Image Analysis (SCIA)},
 + year={2019},
 + month={June},
 + address={Norrk{\"o}ping, Sweden},
 +  keywords={rgb-d,reconstruction,3d-reconstruction,photometric-stereo},
 +  award = {Oral Presentation, received the SCIA 2019 Honourable Mention award},
 +  note = {{<a href="/_media/spezial/bib/bylow2019combining_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/bylow2019combining_poster.pdf" target="_blank">[poster]</a>}}
 +}
 +
 +@InProceedings{laude-wu-cremers-aistats-19,
 +  author = "E. Laude and T. Wu and D. Cremers",
 +  title = {Optimization of Inf-Convolution Regularized Nonconvex Composite Problems},
 +  booktitle = {International Conference on Artificial
 +Intelligence and Statistics (AISTATS)},
 +  year = "2019",
 +  titleurl = {laude-wu-cremers-aistats-19.pdf}
 +}
 +
 +@InProceedings{moellenh-cvpr-19,
 +  author = {T. M{\"o}llenhoff and D. Cremers},
 +  title = {Lifting Vectorial Variational Problems: A Natural Formulation based on
 +Geometric Measure Theory and Discrete Exterior Calculus},
 +  booktitle=cvpr,
 +  year = "2019",
 +  titleurl = {moellenh-cvpr-19.pdf},
 +  award = {Oral Presentation},
 +  note = {{<a href="https://arxiv.org/abs/1905.00851">arXiv:1905.00851</a>}, <a href="https://github.com/moellenh/vectorial-lifting">code</a>}, <a href="https://youtu.be/IyPQqqGPHws?t=4704">talk</a>}
 +}
 +
 +@article{moeller-et-al-19,
 +  author = "M. Moeller and T. M{\"o}llenhoff and D. Cremers",
 +  title = "Controlling Neural Networks via Energy Dissipation",
 +  journal = {preprint},
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1904.03081">arXiv</a>}}
 +}
 +
 +@InProceedings{usenko19nfr,
 +  author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers",
 +  title = "Visual-Inertial Mapping with Non-Linear Factor Recovery",
 +  eprint = {1904.06504},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle={arXiv:1904.06504},
 +  year = "2019",
 +  keywords = nfr
 +}
 +
 +@Article{Pasa-et-al-2019,
 +author={F. Pasa and V. Golkov and F. Pfeiffer and D. Cremers and D. Pfeiffer},
 +title={Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization},
 +journal={Scientific Reports},
 +year={2019},
 +volume={9},
 +number={1},
 +pages={6268},
 +issn={2045-2322},
 +doi={10.1038/s41598-019-42557-4},
 +url={https://www.nature.com/articles/s41598-019-42557-4},
 +keywords={medical imaging,deeplearning}
 +}
 +
 +@article{wang19DirectShape,
 +  author = "R. Wang and N. Yang and J. Stueckler and D. Cremers",
 +  title = "DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation",
 +  journal = {preprint},
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1904.10097" target="_blank">[arxiv]</a><a href="https://youtu.be/QqP6zdx5OKw" target="_blank">[video]</a> Project page is under construction.}},
 +  keywords = {stereo, 3D reconstruction, semantic SLAM, 3D object detection, scene understanding}
 +}
 +
 +@article{Schuchardt-et-al-2019,
 +  author = {J. Schuchardt and V. Golkov and D. Cremers},
 +  title = {Learning to Evolve},
 +  year = {2019},
 +  journal = {arXiv preprint arXiv:1905.03389},
 +  eprint = {1905.03389},
 +  eprinttype = {arXiv},
 +  keywords = {evolutionary algorithms, evolutionary computation, genetic algorithms, deep learning, neural networks, reinforcement learning, deeplearning},
 +}
 +
 +@InProceedings{flatgan-icml-19,
 +  author = "T. M{\"o}llenhoff and D. Cremers",
 +  title = "Flat Metric Minimization with Applications in Generative Modeling",
 +  booktitle = "International Conference on Machine Learning (ICML)",
 +  primaryClass = "cs.LG",
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1905.04730">arXiv:1905.04730</a>, <a href="https://github.com/moellenh/flatgan">code</a>}, <a href="https://www.facebook.com/icml.imls/videos/713631379054038/">talk</a>},
 +  award = {Full Oral Presentation}
 +}
 +
 +@InProceedings{Frerix2019-givens,
 +  title = {{Approximating Orthogonal Matrices with Effective Givens Factorization}},
 +  author = {T. Frerix and J. Bruna},
 +  booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
 +  year = {2019},  
 +  note = {<a href="http://proceedings.mlr.press/v97/frerix19a.html">URL</a>, <a href="https://github.com/tfrerix/givens-factorization">code</a>}
 +}
 +
 +@article{gn-net-19,
 +  author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers",
 +  title = "GN-Net: The Gauss-Newton Loss for Deep Direct SLAM",
 +  journal = {preprint},
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1904.11932" target="_blank">[arxiv]</a><a href="https://youtu.be/GleEp0PqAv0" target="_blank">[video]</a><a href="https://vision.in.tum.de/research/vslam/gn-net" target="_blank">[project page]</a>}},
 +  keywords = {gn-net}
 +}
 +
 +@article{eisenberger2019smoothshells,
 +  author = "M. Eisenberger and Z. L\"ahner and D. Cremers",
 +  title = "Smooth Shells: Multi-Scale Shape Registration with Functional Maps",
 +  journal = {preprint},
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1905.12512">arXiv</a>}}
 +}

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04.03.2024

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