Andreas M. Lehrmann

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Efficient CDF Approximations for Normalizing Flows.

Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic

Trans. Mach. Learn. Res., 2022

Continuous-time Particle Filtering for Latent Stochastic Differential Equations.

Ruizhi Deng, Greg Mori, Andreas M. Lehrmann

CoRR, 2022

2021

PROVIDE: a probabilistic framework for unsupervised video decomposition.

Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Continuous Latent Process Flows.

Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann

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.

Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann

CoRR, 2020

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows.

Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann

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.

Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal, Greg Mori

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Physics-Guided Face Relighting Under Directional Light.

Thomas Nestmeyer, Jean-François Lalonde, Iain A. Matthews, Andreas M. Lehrmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Neural volumes: learning dynamic renderable volumes from images.

Stephen Lombardi, Tomas Simon, Jason M. Saragih, Gabriel Schwartz, Andreas M. Lehrmann, Yaser Sheikh

ACM Trans. Graph., 2019

Zero-Shot Generation of Human-Object Interaction Videos.

Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal

CoRR, 2019

Structural Decompositions for End-to-End Relighting.

Thomas Nestmeyer, Iain A. Matthews, Jean-François Lalonde, Andreas M. Lehrmann

CoRR, 2019

Variational Autoencoders with Jointly Optimized Latent Dependency Structure.

Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas M. Lehrmann

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Towards Traversing the Continuous Spectrum of Image Retrieval.

Ziad Al-Halah, Andreas M. Lehrmann, Leonid Sigal

CoRR, 2018

Probabilistic Video Generation Using Holistic Attribute Control.

Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Visual Reference Resolution using Attention Memory for Visual Dialog.

Paul Hongsuck Seo, Andreas M. Lehrmann, Bohyung Han, Leonid Sigal

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Non-parametric Structured Output Networks.

Andreas M. Lehrmann, Leonid Sigal

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.

Andreas M. Lehrmann

PhD thesis, 2016

2014

Efficient Nonlinear Markov Models for Human Motion.

Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Visualizing dimensionality reduction of systems biology data.

Andreas M. Lehrmann, Michael Huber, Aydin Can Polatkan, Albert Pritzkau, Kay Nieselt

Data Min. Knowl. Discov., 2013

A Non-parametric Bayesian Network Prior of Human Pose.

Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin

Proceedings of the IEEE International Conference on Computer Vision, 2013