Andreas M. Lehrmann
Andreas M. Lehrmann
Facebook Reality Labs
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TitleCited byYear
Efficient Nonlinear Markov Models for Human Motion
AM Lehrmann, PV Gehler, S Nowozin
Computer Vision and Pattern Recognition (CVPR), 2014
552014
Visual Reference Resolution using Attention Memory for Visual Dialog
PH Seo, AM Lehrmann, B Han, L Sigal
Advances in Neural Information Processing Systems (NIPS), 2017
332017
A Non-parametric Bayesian Network Prior of Human Pose
AM Lehrmann, PV Gehler, S Nowozin
International Conference on Computer Vision (ICCV), 2013
272013
Probabilistic Video Generation using Holistic Attribute Control
J He, AM Lehrmann, J Marino, G Mori, L Sigal
European Conference on Computer Vision (ECCV), 2018
152018
Visualizing Dimensionality Reduction of Systems Biology Data
AM Lehrmann, M Huber, AC Polatkan, A Pritzkau, K Nieselt
Data Mining and Knowledge Discovery, 2013
72013
Non-parametric Structured Output Networks
AM Lehrmann, L Sigal
Advances in Neural Information Processing Systems (NIPS), 2017
32017
System and method of analyzing images using a hierarchical set of models
A Lehrmann
US Patent App. 15/273,176, 2017
22017
Neural Volumes: Learning Dynamic Renderable Volumes from Images
S Lombardi, T Simon, J Saragih, G Schwartz, A Lehrmann, Y Sheikh
arXiv preprint arXiv:1906.07751, 2019
12019
Variational Autoencoders with Jointly Optimized Latent Dependency Structure
J He, Y Gong, J Marino, G Mori, A Lehrmann
12018
Visual reference resolution using attention memory for visual dialog
A Lehrmann, PH SEO
US Patent App. 15/884,339, 2019
2019
Structural Decompositions for End-to-End Relighting
T Nestmeyer, I Matthews, JF Lalonde, AM Lehrmann
arXiv preprint arXiv:1906.03355, 2019
2019
System and method of analyzing images using a hierarchical set of models
AM Lehrmann, L Sigal
US Patent 10,163,036, 2018
2018
Towards Traversing the Continuous Spectrum of Image Retrieval
Z Al-Halah, AM Lehrmann, L Sigal
arXiv preprint arXiv:1812.00202, 2018
2018
Variational Latent Dependency Learning
J He, Y Gong, J Marino, G Mori, AM Lehrmann
2018
Non-parametric Models for Structured Data and Applications to Human Bodies and Natural Scenes
AM Lehrmann
ETH Zurich, 2016
2016
Non-parametric Scene Prior Hierarchies with Dynamic Topology
AM Lehrmann, L Sigal
2015
Statistical Methods for Linear and Non-linear Feature Extraction and Applications to the Visualization of Transcriptome Data
AM Lehrmann
University of Tuebingen, 2011
2011
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Articles 1–17