Timo Milbich

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Björn OmmerProfessor, Machine Vision & Learning Group, University of MunichVerified email at uni-heidelberg.de
Karsten RothPhD Student (ELLIS, IMPRS-IS), Explainable Machine Learning Group, University of TuebingenVerified email at uni-tuebingen.de
Joseph Paul CohenPostdoctoral Fellow, AIMI (Stanford University) + Mila (Quebec AI Institute)Verified email at stanford.edu
Samarth SinhaFacebookVerified email at fb.com
Andreas BlattmannCS PhD student, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
Michael DorkenwaldMaster Student, Computer Vision Group, Heidelberg UniversityVerified email at stud.uni-heidelberg.de
Leonard BereskaUniversity of AmsterdamVerified email at uva.nl
David PfeifferZoox IncVerified email at dltmail.de
Prateek GuptaDPhil, University of OxfordVerified email at columbia.edu
Homanga BharadhwajSchool of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITVerified email at mit.edu
Miguel Angel BautistaMachine Learning Research, AppleVerified email at apple.com
Patrick EsserRunway ResearchVerified email at runwayml.com
Robin RombachHeidelberg University, LMU MunichVerified email at iwr.uni-heidelberg.de
Konstantinos G. DerpanisYork University and Samsung AI Centre TorontoVerified email at eecs.yorku.ca
Borislav AnticRobert Bosch GmbHVerified email at de.bosch.com
Ferran DiegoTelefónica ResearchVerified email at telefonica.com
Ludwig SchmidtToyota Research and University of WashingtonVerified email at cs.washington.edu
Biagio BrattoliResearch scientist at Lunit, previously AWS. PhD at Heidelberg University

Timo Milbich

LMU Munich & Heidelberg University

Verified email at iwr.uni-heidelberg.de

Deep Learning Computer Vision Representation Learning Metric Learning Pose Understanding


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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	100	2019
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	74	2020
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	41	2012
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen European Conference on Computer Vision, 590-607, 2020	27	2020
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	22	2020
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	21	2017
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	19	2018
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	11	2021
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	9	2020
Less is more: Video trimming for action recognition B Antic, T Milbich, B Ommer Proceedings of the IEEE International Conference on Computer Vision …, 2013	8	2013
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	6	2021
Unsupervised Representation Learning by Discovering Reliable Image Relations T Milbich, O Ghori, F Diego, B Ommer Pattern Recognition 102, 107107, 2020	6	2020
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	5	2021
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	5	2021
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, 2021	4	2021
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	3	2021
Visual Similarity and Representation Learning T Milbich		2021
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		2020
Supplementary Material Behavior-Driven Synthesis of Human Dynamics A Blattmann, T Milbich, M Dorkenwald, B Ommer
Achtung Kreisverkehr: Eine neue Herausforderung für videobasierte Fahrerassistenzsysteme M Muffert, T Milbich, D Pfeiffer, U Franke

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