Andreas M. Lehrmann
Andreas M. Lehrmann
Facebook Reality Labs
Bestätigte E-Mail-Adresse bei fb.com
Titel
Zitiert von
Zitiert von
Jahr
Efficient Nonlinear Markov Models for Human Motion
AM Lehrmann, PV Gehler, S Nowozin
Computer Vision and Pattern Recognition (CVPR), 2014
732014
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
592017
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
482019
Probabilistic Video Generation using Holistic Attribute Control
J He, AM Lehrmann, J Marino, G Mori, L Sigal
European Conference on Computer Vision (ECCV), 2018
352018
A Non-parametric Bayesian Network Prior of Human Pose
AM Lehrmann, PV Gehler, S Nowozin
International Conference on Computer Vision (ICCV), 2013
342013
Visualizing Dimensionality Reduction of Systems Biology Data
AM Lehrmann, M Huber, AC Polatkan, A Pritzkau, K Nieselt
Data Mining and Knowledge Discovery, 2013
72013
Variational autoencoders with jointly optimized latent dependency structure
J He, Y Gong, J Marino, G Mori, A Lehrmann
International Conference on Learning Representations (ICLR), 2018
52018
Non-parametric Structured Output Networks
AM Lehrmann, L Sigal
Advances in Neural Information Processing Systems (NIPS), 2017
42017
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
R Deng, B Chang, MA Brubaker, G Mori, A Lehrmann
arXiv preprint arXiv:2002.10516, 2020
12020
Learning Physics-guided Face Relighting under Directional Light
T Nestmeyer, JF Lalonde, I Matthews, A Lehrmann
Computer Vision and Pattern Recognition (CVPR), 5124-5133, 2020
12020
Zero-Shot Generation of Human-Object Interaction Videos
M Nawhal, M Zhai, A Lehrmann, L Sigal
arXiv preprint arXiv:1912.02401, 2019
12019
Visual reference resolution using attention memory for visual dialog
A Lehrmann, PH SEO
US Patent App. 15/884,339, 2019
12019
Structural Decompositions for End-to-End Relighting
T Nestmeyer, I Matthews, JF Lalonde, AM Lehrmann
arXiv, arXiv: 1906.03355, 2019
12019
System and method of analyzing images using a hierarchical set of models
AM Lehrmann, L Sigal
US Patent 10,163,036, 2018
12018
Towards traversing the continuous spectrum of image retrieval
Z Al-Halah, AM Lehrmann, L Sigal
arXiv preprint arXiv:1812.00202, 2018
12018
Generating Videos of Zero-Shot Compositions of Actions and Objects
M Nawhal, M Zhai, A Lehrmann, L Sigal, G Mori
European Conference on Computer Vision, 382-401, 2020
2020
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference
P Zablotskaia, EA Dominici, L Sigal, AM Lehrmann
arXiv preprint arXiv:2006.14727, 2020
2020
Traversing the Continuous Spectrum of Image Retrieval with Deep Dynamic Models
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
Visual Reference Resolution using Attention Memory for Visual Dialog
P Hongsuck Seo, A Lehrmann, B Han, L Sigal
arXiv, arXiv: 1709.07992, 2017
2017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20