Timo Milbich

According to our database, Timo Milbich authored at least 19 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.

Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Sharing Matters for Generalization in Deep Metric Learning.

Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Visual Similarity and Representation Learning.

Timo Milbich

PhD thesis, 2021

Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning.

Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Simultaneous Similarity-based Self-Distillation for Deep Metric Learning.

Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi

Proceedings of the 38th International Conference on Machine Learning, 2021

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis.

Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Stochastic Image-to-Video Synthesis Using cINNs.

Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Behavior-Driven Synthesis of Human Dynamics.

Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Understanding Object Dynamics for Interactive Image-to-Video Synthesis.

Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Unsupervised representation learning by discovering reliable image relations.

Timo Milbich, Omair Ghori, Ferran Diego, Björn Ommer

Pattern Recognit., 2020

S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning.

Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi

CoRR, 2020

Revisiting Training Strategies and Generalization Performance in Deep Metric Learning.

Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen

Proceedings of the 37th International Conference on Machine Learning, 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

Proceedings of the Computer Vision - ECCV 2020, 2020

PADS: Policy-Adapted Sampling for Visual Similarity Learning.

Karsten Roth, Timo Milbich, Björn Ommer

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Unsupervised Part-Based Disentangling of Object Shape and Appearance.

Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Towards Learning a Realistic Rendering of Human Behavior.

Patrick Esser, Johannes Haux, Timo Milbich, Björn Ommer

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Unsupervised Video Understanding by Reconciliation of Posture Similarities.

Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer

Proceedings of the IEEE International Conference on Computer Vision, 2017

2013

Less Is More: Video Trimming for Action Recognition.

Borislav Antic, Timo Milbich, Björn Ommer

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

2012

May I enter the roundabout? A time-to-contact computation based on stereo-vision.

Maximilian Muffert, Timo Milbich, David Pfeiffer, Uwe Franke

Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012