@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}}
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Roth, K.,
Milbich, T., Ommer, B., Cohen, J.P., and Ghassemi, M.
International Conference on Machine Learning (ICML) 2021
@article{roth2021s2sd,title={S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning},author={Roth, K. and Milbich, T. and Ommer, B. and Cohen, J.P. and Ghassemi, M.},journal={International Conference on Machine Learning (ICML)},year={2021},selected={false},arxiv={2009.08348},bibtex_show={true},abbr={ICML},code={https://github.com/MLforHealth/S2SD},thumbnail={/assets/img/icml21_thumbnail.png}}
@inproceedings{blattmann2021ipoke,title={iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis},author={Blattmann, A. and Milbich, T. and Dorkenwald, M. and Ommer, B.},booktitle={International Conference on Computer Vision (ICCV)},year={2021},selected={false},arxiv={2107.02790},bibtex_show={true},abbr={ICCV},website={https://compvis.github.io/ipoke},code={https://github.com/CompVis/ipoke},thumbnail={/assets/img/iccv21_thumbnail.png}}
Understanding Object Dynamics for Interactive Image-to-Video Synthesis
Blattmann, A.,
Milbich, T., Dorkenwald, M., and Ommer, B.
In Conference on Computer Vision and Pattern Recognition (CVPR) 2021
@inproceedings{blattmann2021objdyn,title={Understanding Object Dynamics for Interactive Image-to-Video Synthesis},author={Blattmann, A. and Milbich, T. and Dorkenwald, M. and Ommer, B.},booktitle={Conference on Computer Vision and Pattern Recognition (CVPR)},year={2021},selected={false},arxiv={2106.11303},bibtex_show={true},abbr={CVPR},website={https://compvis.github.io/interactive-image2video-synthesis/},code={https://github.com/CompVis/interactive-image2video-synthesis},thumbnail={/assets/img/cvpr21objdyn_thumbnail.png}}
Stochastic Image-to-Video Synthesis using cINNs
Dorkenwald, M.,
Milbich, T., Blattmann, A., Rombach, R., and Ommer, B.
In Conference on Computer Vision and Pattern Recognition (CVPR) 2021
@inproceedings{dorkenwald2021vidpred,title={Stochastic Image-to-Video Synthesis using cINNs},author={Dorkenwald, M. and Milbich, T. and Blattmann, A. and Rombach, R. and Ommer, B.},booktitle={Conference on Computer Vision and Pattern Recognition (CVPR)},year={2021},selected={false},arxiv={2105.04551},bibtex_show={true},abbr={CVPR},code={https://github.com/CompVis/image2video-synthesis-using-cINNs},thumbnail={/assets/img/cvpr21vidpred_thumbnail.png}}
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
@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}}
2020
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
@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}}
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
@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}}
PADS: Policy-Adapted Sampling for Visual Similarity Learning
Roth*, K.,
Milbich*, T., and Ommer, B.
In Conference on Computer Vision and Pattern Recognition (CVPR) 2020
@inproceedings{pads_mining20,author={Roth*, K. and Milbich*, T. and Ommer, B.},title={PADS: Policy-Adapted Sampling for Visual Similarity Learning},booktitle={Conference on Computer Vision and Pattern Recognition (CVPR)},year={2020},selected={false},arxiv={2003.11113},bibtex_show={true},abbr={CVPR},code={https://github.com/Confusezius/CVPR2020_PADS},thumbnail={/assets/img/cvpr20_thumbnail.png}}
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
@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}}
Unsupervised Representation Learning by Discovering Reliable Image Relations
@article{milbich2020reliable,title={Unsupervised Representation Learning by Discovering Reliable Image Relations},author={Milbich*, T. and Ghori*, O. and F. Diego, B. Ommer},journal={Pattern Recognition (PR)},volume={102},publisher={Elsevier},month=jun,year={2020},selected={false},arxiv={1911.07808},bibtex_show={true},abbr={PR},thumbnail={/assets/img/pr20_thumbnail.png}}
2019
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) Jun 2019
@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}}
2018
Towards Learning a Realistic Rendering of Human Behavior
Esser*, P., Haux*, J.,
Milbich*, T., and Ommer, B.
In European Conference on Computer Vision (ECCV); Human Behavior Understanding Workshop Jun 2018
@inproceedings{hbugen2018,title={Towards Learning a Realistic Rendering of Human Behavior},author={Esser*, P. and Haux*, J. and Milbich*, T. and Ommer, B.},booktitle={European Conference on Computer Vision (ECCV); Human Behavior Understanding Workshop},year={2018},selected={false},html={https://openaccess.thecvf.com/content_ECCVW_2018/papers/11130/Esser_Towards_Learning_a_Realistic_Rendering_of_Human_Behavior_ECCVW_2018_paper.pdf},bibtex_show={true},abbr={ECCV-WS},thumbnail={/assets/img/hbugen18_thumbnail.png}}
2017
Unsupervised Video Understanding by Reconciliation of Posture Similarities
Milbich, T., Bautista, M., Sutter, E., and Ommer, B.
In International Conference on Computer Vision Jun 2017
@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}}
2013
Less is more: Video trimming for action recognition
Antic, B.,
Milbich, T., and Ommer, B.
In International Conference on Computer Vision Workshops Jun 2013
@inproceedings{eccv13_less_is_more,title={Less is more: Video trimming for action recognition},author={Antic, B. and Milbich, T. and Ommer, B.},booktitle={International Conference on Computer Vision Workshops},year={2013},selected={false},html={https://ieeexplore.ieee.org/abstract/document/6755940},bibtex_show={true},abbr={ICCV-WS},thumbnail={/assets/img/eccv13_thumbnail.png}}
2012
May I enter the roundabout? A time-to-contact computation based on stereo-vision
Muffert, M.,
Milbich, T., Pfeiffer, D., and Franke, U.
@inproceedings{iv12_roundabout,title={May I enter the roundabout? A time-to-contact computation based on stereo-vision},author={Muffert, M. and Milbich, T. and Pfeiffer, D. and Franke, U.},booktitle={IEEE Intelligent Vehicles Symposium},year={2012},selected={false},html={https://ieeexplore.ieee.org/document/6232178},bibtex_show={true},abbr={IV},thumbnail={/assets/img/iv12_thumbnail.png}}