Follow
Timo Milbich
Timo Milbich
Aignostics GmbH
Verified email at aignostics.com - Homepage
Title
Cited by
Cited by
Year
Revisiting training strategies and generalization performance in deep metric learning
K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen
International Conference on Machine Learning, 8242-8252, 2020
1712020
Unsupervised part-based disentangling of object shape and appearance
D Lorenz, L Bereska, T Milbich, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1622019
Diva: Diverse visual feature aggregation for deep metric learning
T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
622020
Stochastic Image-to-Video Synthesis using cINNs
M Dorkenwald, T Milbich, A Blattmann, R Rombach, KG Derpanis, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
442021
PADS: Policy-Adapted Sampling for Visual Similarity Learning
K Roth, T Milbich, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
442020
May I enter the roundabout? A time-to-contact computation based on stereo-vision
M Muffert, T Milbich, D Pfeiffer, U Franke
2012 IEEE Intelligent Vehicles Symposium, 565-570, 2012
432012
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
K Roth, T Milbich, B Ommer, JP Cohen, M Ghassemi
International Conference on Machine Learning, 9095-9106, 2021
402021
Sharing Matters for Generalization in Deep Metric Learning
T Milbich, K Roth, B Brattoli, B Ommer
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
262020
Towards learning a realistic rendering of human behavior
P Esser, J Haux, T Milbich
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
262018
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
A Blattmann, T Milbich, M Dorkenwald, B Ommer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
252021
Understanding Object Dynamics for Interactive Image-to-Video Synthesis
A Blattmann, T Milbich, M Dorkenwald, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
252021
Characterizing generalization under out-of-distribution shifts in deep metric learning
T Milbich, K Roth, S Sinha, L Schmidt, M Ghassemi, B Ommer
Advances in Neural Information Processing Systems 34, 25006-25018, 2021
232021
Unsupervised video understanding by reconciliation of posture similarities
T Milbich, M Bautista, E Sutter, B Ommer
Proceedings of the IEEE International Conference on Computer Vision, 4394-4404, 2017
212017
Behavior-Driven Synthesis of Human Dynamics
A Blattmann, T Milbich, M Dorkenwald, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
122021
Less is more: Video trimming for action recognition
B Antic, T Milbich, B Ommer
Proceedings of the IEEE International Conference on Computer Vision …, 2013
92013
Unsupervised Representation Learning by Discovering Reliable Image Relations
T Milbich, O Ghori, F Diego, B Ommer
Pattern Recognition 102, 107107, 2020
82020
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
K Roth, T Milbich, B Ommer, JP Cohen, M Ghassemi
arXiv preprint arXiv:2009.08348, 2020
42020
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning
D Kotovenko, P Ma, T Milbich, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
22023
Visual Similarity and Representation Learning
T Milbich
12021
Bidirectional global to local attention for deep metric learning.
D Kotovenko, P Ma, T Milbich, B Ommer
2022
The system can't perform the operation now. Try again later.
Articles 1–20