Timo Milbich

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Björn OmmerProfessor, Computer Vision & Learning Group (CompVis), University of MunichVerified email at uni-heidelberg.de
Karsten RothELLIS, IMPRS-IS, University of TübingenVerified email at uni-tuebingen.de
Joseph Paul CohenAmazon, AIMI (Stanford University), Mila (Quebec AI Institute)Verified email at stanford.edu
Samarth SinhaUniversity of TorontoVerified email at mail.utoronto.ca
Andreas BlattmannResearch Scientist, Stability AI; CS PhD student, LMU MunichVerified email at stability.ai
Michael DorkenwaldUniversity of AmsterdamVerified email at uva.nl
Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITVerified email at mit.edu
Leonard BereskaUniversity of AmsterdamVerified email at uva.nl
Prateek GuptaDPhil, University of Oxford, The Alan Turing Institute, Montréal Institute of Learning AlgorithmsVerified email at columbia.edu
David PfeifferZoox IncVerified email at dltmail.de
Homanga BharadhwajCarnegie Mellon University | Meta AIVerified email at cs.cmu.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
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
Johannes HauxHead of AI @ askuiVerified email at askui.com
Biagio BrattoliResearch scientist at Lunit, previously AWS. PhD at Heidelberg UniversityVerified email at lunit.io
Ludwig SchmidtUniversity of Washington and Allen Institute for AIVerified email at cs.washington.edu
Borislav AnticRobert Bosch GmbHVerified email at de.bosch.com

Timo Milbich

Aignostics GmbH

Verified email at aignostics.com - Homepage

Deep Learning Computer Vision Representation Learning Metric Learning Video 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	137	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	123	2020
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	52	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	43	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	42	2012
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	28	2021
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	22	2021
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	22	2018
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	22	2017
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	20	2020
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	13	2021
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	12	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	9	2021
Less is more: Video trimming for action recognition B Antic, T Milbich, B Ommer Proceedings of the IEEE International Conference on Computer Vision …, 2013	9	2013
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	8	2021
Unsupervised Representation Learning by Discovering Reliable Image Relations T Milbich, O Ghori, F Diego, B Ommer Pattern Recognition 102, 107107, 2020	8	2020
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	2	2020
Visual Similarity and Representation Learning T Milbich	1	2021
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		2023
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning–Supplementary Material– D Kotovenko, P Ma, T Milbich, B Ommer

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