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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 [2018/08/10 00:51]
Rui Wang
spezial:bib [2019/03/20 11:21]
laehner
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 7034: Line 7034:
   booktitle = iros,   booktitle = iros,
   month = sept,   month = sept,
-  year = {2015}, +  year = {2015}
-  note = {to appear}+
 } }
  
Line 7502: Line 7501:
   month = mar,   month = mar,
   titleurl = {engel_et_al_pami2018.pdf},   titleurl = {engel_et_al_pami2018.pdf},
-  keywords={mono-ds,dso}+  keywords={mono-ds,dso,directsparseodometry}
 } }
  
Line 7563: Line 7562:
   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 7618: Line 7617:
  
 @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 7767: Line 7766:
 @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 7784: Line 7783:
  year = "2017",  year = "2017",
  booktitle = iccv,  booktitle = iccv,
- note = {{<a href="https://arxiv.org/abs/1704.03488" target="_blank">[arxiv]</a>}},+ note = {{<a href="https://arxiv.org/abs/1704.03488" target="_blank">[arxiv]</a>}, {<a href="https://github.com/tum-vision/learn_prox_ops" target="_blank">[code]</a>}},
  keywords = {deeplearning},  keywords = {deeplearning},
 } }
  
-@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 +
-          Daniel Cremers",+
  title = {{<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>}},  title = {{<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>}},
- year = "2017", + year = "2018", 
- booktitle = "ArXiv preprint arXiv:1704.01085",+ month = "December", 
 + 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://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}},
  keywords = {deeplearning},  keywords = {deeplearning},
Line 7953: Line 7951:
  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>}{<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}, 
 +
 + 
 +@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>}}, 
 +
 + 
 + 
 +@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 7964: Line 7998:
  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 7970: Line 8005:
 @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},
  month={October},  month={October},
  address={Venice, Italy},  address={Venice, Italy},
-  keywords={dso, visual odometry, stereo, 3D reconstruction}, +  keywords={dso, visual odometry, stereo, 3D reconstruction, stereodso}, 
-        note = {{<a href="/_media/spezial/bib/wang2017stereoDSO-supp.pdf" target="_blank">[supplementary]</a>}{<a href="https://vision.in.tum.de/research/vslam/stereo-dso" target="_blank">[project]</a>}{<a href="https://youtu.be/A53vJO8eygw" target="_blank">[video]</a><a href="https://arxiv.org/abs/1708.07878" target="_blank">[arxiv]</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 8006: Line 8041:
   title         = {How Robots Learn to Classify New Objects Trained from Small Data Sets},   title         = {How Robots Learn to Classify New Objects Trained from Small Data Sets},
   booktitle     = {Conference on Robot Learning (CoRL)},   booktitle     = {Conference on Robot Learning (CoRL)},
-  year          = {2017}, +  year          = {2017}
-  note          = {to appear}+
 } }
  
Line 8076: Line 8110:
   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://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a><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>}}, +  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}
 } }
Line 8121: Line 8155:
   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 8131: Line 8173:
 } }
  
 +
 +@inproceedings{Do-et-al-2018-pre-miRNA,
 +  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},
 +}
  
 @inproceedings{Aljalbout-et-al-2018, @inproceedings{Aljalbout-et-al-2018,
Line 8145: Line 8197:
   author = "P. Haeusser and J. Plapp and V. Golkov and E. Aljalbout and D. Cremers",   author = "P. Haeusser and J. Plapp and V. Golkov and E. Aljalbout and D. Cremers",
   title = "Associative Deep Clustering - Training a Classification Network with no Labels",   title = "Associative Deep Clustering - Training a Classification Network with no Labels",
-  booktitle = "under review"+  booktitle = {Proc. of the German Conference on Pattern Recognition (GCPR)}
-  year = "2018"+  year = {2018}
-  month = "November",+  month = "October",
   titleurl = {haeusser18associative.pdf},   titleurl = {haeusser18associative.pdf},
   keywords={Clustering, Embeddings, deeplearning, associative_learning},   keywords={Clustering, Embeddings, deeplearning, associative_learning},
 } }
 +
 +
 +
 +
 +
 +
 +
  
 @InProceedings{mayer18synthetic, @InProceedings{mayer18synthetic,
Line 8157: Line 8216:
 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}
 } }
 +
  
 @InProceedings{Frerix-et-al-18, @InProceedings{Frerix-et-al-18,
Line 8169: Line 8230:
   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 8229: Line 8278:
  
 @InProceedings{laude-et-al-transductive, @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", +  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 MRFs",+  title = "Discrete-Continuous {ADMMfor Transductive Inference in Higher-Order {MRF}s",
   booktitle=cvpr,   booktitle=cvpr,
   year = "2018",   year = "2018",
Line 8239: Line 8288:
   title = "Semantic Labeling of Indoor Environments from {3D RGB} Maps",   title = "Semantic Labeling of Indoor Environments from {3D RGB} Maps",
   booktitle=icra,   booktitle=icra,
-  year="2018"+  year="2018"
-  note= to appear+
 } }
 @InProceedings{stumberg18vidso, @InProceedings{stumberg18vidso,
Line 8259: Line 8307:
   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 8268: Line 8316:
   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 8322: Line 8370:
   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 8328: Line 8376:
   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}
 } }
  
Line 8359: Line 8408:
  
 @article{lingni18wcnn, @article{lingni18wcnn,
-  author={L. Ma, and J. St\"uckler and T. Wu and D. Cremers},+  author={L. Ma, and J. Stueckler and T. Wu and D. Cremers},
   title={Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform},   title={Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform},
   year={2018},   year={2018},
Line 8367: Line 8416:
   note = {{<a href="https://arxiv.org/abs/1808.01834" target="_blank">[arxiv]</a>}},   note = {{<a href="https://arxiv.org/abs/1808.01834" target="_blank">[arxiv]</a>}},
 } }
 +
 +@InProceedings{sundermeyer2018eccv,
 +  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},
 +  booktitle = eccv,
 +  year = {2018},
 +  month = {September},
 +  award = {Best Paper Award},
 +}
 +
 +@InProceedings{denninger18iros,
 + author = {M. Denninger and R. Triebel},
 + title = {Persistent Anytime Learning of Objects from Unseen Classes },
 + booktitle = iros,
 + address = {Madrid, Spain},
 + year = 2018,
 +        month = {Oct.},
 +  award = {Best Cognitive Robotics Paper Finalist},  
 +  }
 +@InProceedings{grixa18iros,
 + author = {I. Grixa and P. Schulz and W. St\"urzl and R. Triebel},
 + title = {Appearance-Based Along-Route Localization for Planetary Missions},
 + booktitle = iros,
 + address = {Madrid, Spain},
 + year = 2018,
 +        month = {Oct.},
 +}
 +
 +@InProceedings{chiotellis2018ilp,
 + author = {I. Chiotellis and F. Zimmermann and D. Cremers and R. Triebel},
 + title = {Incremental Semi-Supervised Learning from Streams for Object Classification},
 + booktitle = iros,
 + address = {Madrid, Spain},
 + year = 2018,
 +        month = {Oct.},
 +        note = {{<a href="https://github.com/johny-c/incremental-label-propagation" target="_blank">[code]</a>} },
 +}
 +
 +@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 = "Thomas Frerix and Matthias Nie{\ss}ner and Daniel Cremers",
 +  title = "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>}}
 +}
 +
  

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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

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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

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15.10.2022

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