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Timo Milbich
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Books and Theses
- 2021
- [b1]Timo Milbich:
Visual Similarity and Representation Learning. University of Heidelberg, Germany, 2021
Journal Articles
- 2022
- [j2]Timo Milbich
, Karsten Roth, Biagio Brattoli
, Björn Ommer:
Sharing Matters for Generalization in Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 416-427 (2022) - 2020
- [j1]Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer:
Unsupervised representation learning by discovering reliable image relations. Pattern Recognit. 102: 107107 (2020)
Conference and Workshop Papers
- 2023
- [c15]Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer:
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning. CVPR 2023: 11070-11081 - 2021
- [c14]Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer:
Stochastic Image-to-Video Synthesis Using cINNs. CVPR 2021: 3742-3753 - [c13]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
Understanding Object Dynamics for Interactive Image-to-Video Synthesis. CVPR 2021: 5171-5181 - [c12]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
Behavior-Driven Synthesis of Human Dynamics. CVPR 2021: 12236-12246 - [c11]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. ICCV 2021: 14687-14697 - [c10]Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi:
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. ICML 2021: 9095-9106 - [c9]Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer:
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. NeurIPS 2021: 25006-25018 - 2020
- [c8]Karsten Roth, Timo Milbich, Björn Ommer:
PADS: Policy-Adapted Sampling for Visual Similarity Learning. CVPR 2020: 6567-6576 - [c7]Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen:
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. ECCV (8) 2020: 590-607 - [c6]Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen:
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. ICML 2020: 8242-8252 - 2019
- [c5]Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer:
Unsupervised Part-Based Disentangling of Object Shape and Appearance. CVPR 2019: 10955-10964 - 2018
- [c4]Patrick Esser, Johannes Haux, Timo Milbich, Björn Ommer:
Towards Learning a Realistic Rendering of Human Behavior. ECCV Workshops (2) 2018: 409-425 - 2017
- [c3]Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer:
Unsupervised Video Understanding by Reconciliation of Posture Similarities. ICCV 2017: 4404-4414 - 2013
- [c2]Borislav Antic, Timo Milbich, Björn Ommer:
Less Is More: Video Trimming for Action Recognition. ICCV Workshops 2013: 515-521 - 2012
- [c1]Maximilian Muffert, Timo Milbich, David Pfeiffer, Uwe Franke:
May I enter the roundabout? A time-to-contact computation based on stereo-vision. Intelligent Vehicles Symposium 2012: 565-570
Informal and Other Publications
- 2021
- [i13]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
Behavior-Driven Synthesis of Human Dynamics. CoRR abs/2103.04677 (2021) - [i12]Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer:
Stochastic Image-to-Video Synthesis using cINNs. CoRR abs/2105.04551 (2021) - [i11]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
Understanding Object Dynamics for Interactive Image-to-Video Synthesis. CoRR abs/2106.11303 (2021) - [i10]Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. CoRR abs/2107.02790 (2021) - [i9]Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer:
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. CoRR abs/2107.09562 (2021) - 2020
- [i8]Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen:
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. CoRR abs/2002.08473 (2020) - [i7]Karsten Roth, Timo Milbich, Björn Ommer:
PADS: Policy-Adapted Sampling for Visual Similarity Learning. CoRR abs/2003.11113 (2020) - [i6]Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer:
Sharing Matters for Generalization in Deep Metric Learning. CoRR abs/2004.05582 (2020) - [i5]Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen:
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. CoRR abs/2004.13458 (2020) - [i4]Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi:
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. CoRR abs/2009.08348 (2020) - 2019
- [i3]Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer:
Unsupervised Part-Based Disentangling of Object Shape and Appearance. CoRR abs/1903.06946 (2019) - [i2]Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer:
Unsupervised Representation Learning by Discovering Reliable Image Relations. CoRR abs/1911.07808 (2019) - 2017
- [i1]Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer:
Unsupervised Video Understanding by Reconciliation of Posture Similarities. CoRR abs/1708.01191 (2017)
Coauthor Index
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