Timo Milbich

Joined

July 2019

Names

Timo Milbich (Preferred)

Emails

****@iwr.uni-heidelberg.de (Confirmed)

****@gmx.de (Confirmed)

****@googlemail.com (Confirmed)

Personal Links

DBLP

Career & Education History

Postdoc

Ludwig-Maximilians-Universität München (lmu.de)

2021 – 2022

PhD student

Heidelberg University (uni-heidelberg.de)

2014 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Björn Ommer

2014 – 2021

Expertise

No areas of expertise listed

Publications

Bidirectional global to local attention for deep metric learning.
Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Sharing Matters for Generalization in Deep Metric Learning
Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
- 2022 (modified: 24 Feb 2022)
- IEEE Trans. Pattern Anal. Mach. Intell. 2022
- Readers: Everyone
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
- 2021 (modified: 24 Feb 2022)
- ICML 2021
- Readers: Everyone
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
- 2021 (modified: 24 Feb 2022)
- CoRR 2021
- Readers: Everyone
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Withdrawn Submission
- Readers: Everyone
Unsupervised representation learning by discovering reliable image relations
Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer
- 2020 (modified: 24 Feb 2022)
- Pattern Recognit. 2020
- Readers: Everyone
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
- 2020 (modified: 04 Nov 2022)
- ICML 2020
- Readers: Everyone
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
- 2020 (modified: 24 Feb 2022)
- ECCV (8) 2020
- Readers: Everyone
PADS: Policy-Adapted Sampling for Visual Similarity Learning
Karsten Roth, Timo Milbich, Björn Ommer
- 2020 (modified: 24 Feb 2022)
- CVPR 2020
- Readers: Everyone

View all 16 publications