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Andreas M. Lehrmann
Andreas M. Lehrmann
Facebook Reality Labs
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Tytuł
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Cytowane przez
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Neural Volumes: Learning Dynamic Renderable Volumes from Images
S Lombardi, T Simon, J Saragih, G Schwartz, AM Lehrmann, Y Sheikh
Transactions on Graphics (TOG), 2019
8242019
Efficient Nonlinear Markov Models for Human Motion
AM Lehrmann, PV Gehler, S Nowozin
Computer Vision and Pattern Recognition (CVPR), 2014
1932014
Visual Reference Resolution using Attention Memory for Visual Dialog
PH Seo, AM Lehrmann, B Han, L Sigal
Advances in Neural Information Processing Systems (NeurIPS), 2017
1312017
Learning Physics-guided Face Relighting under Directional Light
T Nestmeyer, JF Lalonde, I Matthews, AM Lehrmann
Computer Vision and Pattern Recognition (CVPR), 2020
1052020
Probabilistic Video Generation using Holistic Attribute Control
J He, AM Lehrmann, J Marino, G Mori, L Sigal
European Conference on Computer Vision (ECCV), 2018
832018
A Non-parametric Bayesian Network Prior of Human Pose
AM Lehrmann, PV Gehler, S Nowozin
International Conference on Computer Vision (ICCV), 2013
632013
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
R Deng, B Chang, MA Brubaker, G Mori, A Lehrmann
Advances in Neural Information Processing Systems (NeurIPS), 2020
552020
PROVIDE: A Probabilistic Framework for Unsupervised Video Decomposition
P Zablotskaia, EA Dominici, L Sigal, AM Lehrmann
Uncertainty in Artificial Intelligence (UAI), 2021
29*2021
Variational Autoencoders with Jointly Optimized Latent Dependency Structure
J He, Y Gong, J Marino, G Mori, AM Lehrmann
International Conference on Learning Representations (ICLR), 2018
212018
Continuous latent process flows
R Deng, MA Brubaker, G Mori, A Lehrmann
Advances in Neural Information Processing Systems 34, 5162-5173, 2021
172021
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 (ECCV), 2020
17*2020
Visualizing Dimensionality Reduction of Systems Biology Data
AM Lehrmann, M Huber, AC Polatkan, A Pritzkau, K Nieselt
Data Mining and Knowledge Discovery, 2013
112013
Non-parametric Structured Output Networks
AM Lehrmann, L Sigal
Advances in Neural Information Processing Systems (NeurIPS), 2017
62017
Visual Reference Resolution using Attention Memory for Visual Dialog
AM Lehrmann, PH Seo
US Patent App. 15/884,339, 2019
42019
System and Method of Analyzing Images using a Hierarchical Set of Models
AM Lehrmann, L Sigal
US Patent 10,163,036, 2018
42018
DynaConF: Dynamic Forecasting of Non-Stationary Time-Series
S Liu, A Lehrmann
arXiv preprint arXiv:2209.08411, 2022
32022
Agent forecasting at flexible horizons using ODE flows
A Radovic, J He, J Ramanan, MA Brubaker, A Lehrmann
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021
32021
Efficient CDF Approximations for Normalizing Flows
CS Sastry, A Lehrmann, M Brubaker, A Radovic
arXiv preprint arXiv:2202.11322, 2022
22022
Systems and methods for modeling continuous stochastic processes with dynamic normalizing flows
D Ruizhi, B Chang, MA Brubaker, GP Mori, ASM Lehrmann
US Patent App. 17/170,416, 2021
22021
System and Method for Generation of Unseen Composite Data Objects
M Nawhal, M Zhai, AM Lehrmann, L Sigal, G Mori
US Patent App. 16/826,214, 2020
22020
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