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Andreas M. Lehrmann
Andreas M. Lehrmann
Facebook Reality Labs
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Title
Cited by
Cited by
Year
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
7582019
Efficient Nonlinear Markov Models for Human Motion
AM Lehrmann, PV Gehler, S Nowozin
Computer Vision and Pattern Recognition (CVPR), 2014
1862014
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
1292017
Learning Physics-guided Face Relighting under Directional Light
T Nestmeyer, JF Lalonde, I Matthews, AM Lehrmann
Computer Vision and Pattern Recognition (CVPR), 2020
992020
Probabilistic Video Generation using Holistic Attribute Control
J He, AM Lehrmann, J Marino, G Mori, L Sigal
European Conference on Computer Vision (ECCV), 2018
792018
A Non-parametric Bayesian Network Prior of Human Pose
AM Lehrmann, PV Gehler, S Nowozin
International Conference on Computer Vision (ICCV), 2013
622013
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
502020
PROVIDE: A Probabilistic Framework for Unsupervised Video Decomposition
P Zablotskaia, EA Dominici, L Sigal, AM Lehrmann
Uncertainty in Artificial Intelligence (UAI), 2021
28*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
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
16*2020
Continuous latent process flows
R Deng, MA Brubaker, G Mori, A Lehrmann
Advances in Neural Information Processing Systems 34, 5162-5173, 2021
152021
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
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
Visual Reference Resolution using Attention Memory for Visual Dialog
AM Lehrmann, PH Seo
US Patent App. 15/884,339, 2019
32019
System and Method of Analyzing Images using a Hierarchical Set of Models
AM Lehrmann, L Sigal
US Patent 10,163,036, 2018
32018
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
System and method for conditional marginal distributions at flexible evaluation horizons
A Radovic, J He, JM Ramanan, MA Brubaker, ASM Lehrmann
US Patent App. 17/750,335, 2022
12022
DynaConF: Dynamic Forecasting of Non-Stationary Time-Series
S Liu, A Lehrmann
arXiv preprint arXiv:2209.08411, 2022
12022
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