Andreas M. Lehrmann

Affiliations:
  • Facebook Reality Labs, Pittsburgh, PA, USA
  • Disney Research, Pittsburgh, PA, USA
  • Max Planck Institute for Intelligent Systems, Tübingen, Germany


According to our database1, Andreas M. Lehrmann authored at least 20 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Efficient CDF Approximations for Normalizing Flows.
Trans. Mach. Learn. Res., 2022

Continuous-time Particle Filtering for Latent Stochastic Differential Equations.
CoRR, 2022

2021
PROVIDE: a probabilistic framework for unsupervised video decomposition.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Continuous Latent Process Flows.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference.
CoRR, 2020

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generating Videos of Zero-Shot Compositions of Actions and Objects.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Physics-Guided Face Relighting Under Directional Light.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Neural volumes: learning dynamic renderable volumes from images.
ACM Trans. Graph., 2019

Zero-Shot Generation of Human-Object Interaction Videos.
CoRR, 2019

Structural Decompositions for End-to-End Relighting.
CoRR, 2019

Variational Autoencoders with Jointly Optimized Latent Dependency Structure.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Towards Traversing the Continuous Spectrum of Image Retrieval.
CoRR, 2018

Probabilistic Video Generation Using Holistic Attribute Control.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Visual Reference Resolution using Attention Memory for Visual Dialog.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Non-parametric Structured Output Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Non-parametric models for structured data and applications to human bodies and natural scenes.
PhD thesis, 2016

2014
Efficient Nonlinear Markov Models for Human Motion.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Visualizing dimensionality reduction of systems biology data.
Data Min. Knowl. Discov., 2013

A Non-parametric Bayesian Network Prior of Human Pose.
Proceedings of the IEEE International Conference on Computer Vision, 2013


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