publications

Huge thanks to all my collaborators which helped to successfully realize the following projects!

*Indicates equal contribution.

2021

  1. 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
  2. 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
  3. Visual Similarity and Representation Learning
    Milbich, T.
    Dissertation/PhD Thesis 2021
  4. iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
    Blattmann, A.,  Milbich, T., Dorkenwald, M., and Ommer, B.
    In International Conference on Computer Vision (ICCV) 2021
  5. 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
  6. 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
  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

2020

  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
  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
  3. 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
  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
  5. Unsupervised Representation Learning by Discovering Reliable Image Relations
    Milbich*, T., Ghori*, O., and F. Diego, B. Ommer
    Pattern Recognition (PR) Jun 2020

2019

  1. 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

2018

  1. 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

2017

  1. 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

2013

  1. Less is more: Video trimming for action recognition
    Antic, B.,  Milbich, T., and Ommer, B.
    In International Conference on Computer Vision Workshops Jun 2013

2012

  1. May I enter the roundabout? A time-to-contact computation based on stereo-vision
    Muffert, M.,  Milbich, T., Pfeiffer, D., and Franke, U.
    In IEEE Intelligent Vehicles Symposium Jun 2012
-->