Timo Milbich Ph.D.

selected publications

1. 

   DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

   Milbich*, T., Roth*, K., Bharadhwaj, H., Sinha, S., Bengio, Y., Ommer, B., and Cohen, J. P.

   In European Conference on Computer Vision (ECCV) 2020

   ECCV

   arXiv Bib Code

   @inproceedings{milbich2020diva,
     abbr = {ECCV},
     title = {DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning},
     author = {Milbich*, T. and Roth*, K. and Bharadhwaj, H. and Sinha, S. and Bengio, Y. and Ommer, B. and Cohen, J. P.},
     year = {2020},
     booktitle = {European Conference on Computer Vision (ECCV)},
     selected = {true},
     bibtex_show = {true},
     arxiv = {2004.13458},
     thumbnail = {/assets/img/eccv21_thumbnail.png},
     code = {https://github.com/Confusezius/ECCV2020_DiVA_MultiFeature_DML}
   }

2. 

   Sharing Matters for Generalization in Deep Metric Learning

   Milbich*, T., Roth*, K., Brattoli, B., and Ommer, B.

   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020

   TPAMI

   arXiv Bib HTML

   @article{milbich2020sharing,
     abbr = {TPAMI},
     title = {Sharing Matters for Generalization in Deep Metric Learning},
     author = {Milbich*, T. and Roth*, K. and Brattoli, B. and Ommer, B.},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
     year = {2020},
     publisher = {IEEE},
     selected = {true},
     arxiv = {2004.05582},
     html = {https://www.computer.org/csdl/journal/tp/5555/01/09141449/1lu2CexRydG},
     bibtex_show = {true},
     thumbnail = {/assets/img/tpami22_thumbnail.png}
   }

3. 

   Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning

   Milbich*, T., Roth*, K., Sinha, S., Schmidt, L., Ghassemi, M., and Ommer, B.

   In Advances in Neural Information Processing Systems (NeurIPS) 2021

   NeuRIPS

   arXiv Bib Code

   @inproceedings{milbich2020ooDML,
     title = {Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning},
     author = {Milbich*, T. and Roth*, K. and Sinha, S. and Schmidt, L. and Ghassemi, M. and Ommer, B.},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2021},
     selected = {true},
     arxiv = {2107.09562},
     bibtex_show = {true},
     abbr = {NeuRIPS},
     code = {https://github.com/CompVis/Characterizing_Generalization_in_DML},
     thumbnail = {/assets/img/neurips21_thumbnail.png}
   }

4. 

   Revisiting Training Strategies and Generalization Performance in Deep Metric Learning

   Roth*, K.,  Milbich*, T., Sinha, S., Gupta, P., Ommer, B., and Cohen, J. P.

   In International Conference on Machine Learning (ICML) 2020

   ICML

   arXiv Bib Code

   @inproceedings{roth2020revisiting,
     title = {Revisiting Training Strategies and Generalization Performance in Deep Metric Learning},
     author = {Roth*, K. and Milbich*, T. and Sinha, S. and Gupta, P. and Ommer, B. and Cohen, J. P.},
     year = {2020},
     booktitle = {International Conference on Machine Learning (ICML)},
     selected = {true},
     arxiv = {2002.08473},
     bibtex_show = {true},
     abbr = {ICML},
     code = {https://github.com/Confusezius/Revisiting_Deep_Metric_Learning_PyTorch},
     thumbnail = {/assets/img/icml20_thumbnail.png}
   }

5. 

   Unsupervised Part-based Disentangling of Object Shape and Appearance

   Lorenz, D., Bereska, L.,  Milbich, T., and Ommer, B.

   In Conference on Computer Vision and Pattern Recognition (CVPR) 2019

   CVPR

   arXiv Bib Code Website

   @inproceedings{cvpr19_unsup_disentangle,
     title = {Unsupervised Part-based Disentangling of Object Shape and Appearance},
     author = {Lorenz, D. and Bereska, L. and Milbich, T. and Ommer, B.},
     booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2019},
     selected = {true},
     arxiv = {1903.06946},
     bibtex_show = {true},
     abbr = {CVPR},
     website = {https://compvis.github.io/unsupervised-disentangling/},
     code = {https://github.com/CompVis/unsupervised-disentangling},
     thumbnail = {/assets/img/cvpr19_thumbnail.png}
   }

6. 

   Unsupervised Video Understanding by Reconciliation of Posture Similarities

   Milbich, T., Bautista, M., Sutter, E., and Ommer, B.

   In International Conference on Computer Vision 2017

   ICCV

   arXiv Bib

   @inproceedings{iccv17_unsup_video,
     title = {Unsupervised Video Understanding by Reconciliation of Posture Similarities},
     author = {Milbich, T. and Bautista, M. and Sutter, E. and Ommer, B.},
     booktitle = {International Conference on Computer Vision},
     year = {2017},
     selected = {true},
     arxiv = {1708.01191},
     bibtex_show = {true},
     abbr = {ICCV},
     thumbnail = {/assets/img/iccv17_thumbnail.png}
   }

7. 

   Behavior-Driven Synthesis of Human Dynamics

   Milbich*, T., Blattmann*, A., Dorkenwald*, M., and Ommer, B.

   In Conference on Computer Vision and Pattern Recognition (CVPR) 2021

   CVPR

   arXiv Bib Code Website

   @inproceedings{milbich2021behavior,
     title = {Behavior-Driven Synthesis of Human Dynamics},
     author = {Milbich*, T. and Blattmann*, A. and Dorkenwald*, M. and Ommer, B.},
     booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2021},
     selected = {true},
     arxiv = {2103.04677},
     bibtex_show = {true},
     abbr = {CVPR},
     website = {https://compvis.github.io/behavior-driven-video-synthesis/},
     code = {https://github.com/CompVis/behavior-driven-video-synthesis},
     thumbnail = {/assets/img/cvpr21behav_thumbnail.png}
   }