May I enter the roundabout? A time-to-contact computation based on stereo-vision. - Maximilian Muffert; Timo Milbich; David Pfeiffer; Uwe Franke (Intelligent Vehicles Symposium, 2012)

Less Is More: Video Trimming for Action Recognition. - Borislav Antic; Timo Milbich; Björn Ommer (ICCV Workshops, 2013)

Unsupervised Video Understanding by Reconciliation of Posture Similarities. - Timo Milbich; Miguel Ángel Bautista 001; Ekaterina Sutter; Björn Ommer (ICCV, 2017)

Towards Learning a Realistic Rendering of Human Behavior. - Patrick Esser; Johannes Haux; Timo Milbich; Björn Ommer (ECCV Workshops (2), 2018)

Unsupervised Part-Based Disentangling of Object Shape and Appearance. - Dominik Lorenz; Leonard Bereska; Timo Milbich; Björn Ommer (CVPR, 2019)

PADS: Policy-Adapted Sampling for Visual Similarity Learning. - Karsten Roth; Timo Milbich; Björn Ommer (CVPR, 2020)

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. - Timo Milbich; Karsten Roth; Homanga Bharadhwaj; Samarth Sinha; Yoshua Bengio; Björn Ommer; Joseph Paul Cohen (ECCV (8), 2020)

Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. - Karsten Roth; Timo Milbich; Samarth Sinha; Prateek Gupta; Björn Ommer; Joseph Paul Cohen (ICML, 2020)

S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. - Karsten Roth; Timo Milbich; Björn Ommer; Joseph Paul Cohen; Marzyeh Ghassemi (CoRR, 2020)

Unsupervised representation learning by discovering reliable image relations. - Timo Milbich; Omair Ghori; Ferran Diego; Björn Ommer (Pattern Recognit., 2020)

Understanding Object Dynamics for Interactive Image-to-Video Synthesis. - Andreas Blattmann; Timo Milbich; Michael Dorkenwald; Björn Ommer (CVPR, 2021)

Behavior-Driven Synthesis of Human Dynamics. - Andreas Blattmann; Timo Milbich; Michael Dorkenwald; Björn Ommer (CVPR, 2021)

Stochastic Image-to-Video Synthesis Using cINNs. - Michael Dorkenwald; Timo Milbich; Andreas Blattmann; Robin Rombach; Konstantinos G. Derpanis; Björn Ommer (CVPR, 2021)

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. - Andreas Blattmann; Timo Milbich; Michael Dorkenwald; Björn Ommer (ICCV, 2021)

Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. - Karsten Roth; Timo Milbich; Björn Ommer; Joseph Paul Cohen; Marzyeh Ghassemi (ICML, 2021)

Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. - Timo Milbich; Karsten Roth; Samarth Sinha; Ludwig Schmidt; Marzyeh Ghassemi; Björn Ommer (NeurIPS, 2021)

Visual Similarity and Representation Learning. - Timo Milbich (2021)

Sharing Matters for Generalization in Deep Metric Learning. - Timo Milbich; Karsten Roth; Biagio Brattoli; Björn Ommer (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning. - Dmytro Kotovenko; Pingchuan Ma 006; Timo Milbich; Björn Ommer (CVPR, 2023)

Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics. - Maximilian Alber; Stephan Tietz; Jonas Dippel; Timo Milbich; Timothée Lesort; Panos Korfiatis; Moritz Krügener; Beatriz Perez Cancer; Neelay Shah; Alexander Möllers; Philipp Seegerer; Alexandra Carpen-Amarie; et al. (CoRR, 2025)