Andreas M. Lehrmann

26 papers A* 5A 1Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Continuous-time Particle Filtering for Latent Stochastic Differential Equations. CoRR Ruizhi Deng, Greg Mori, Andreas M. Lehrmann
2022	J	`jnl`	Efficient CDF Approximations for Normalizing Flows. CoRR Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic
2022	J	`jnl`	Efficient CDF Approximations for Normalizing Flows. Trans. Mach. Learn. Res. Chandramouli Shama Sastry, Andreas M. Lehrmann, Marcus A. Brubaker, Alexander Radovic
2021	A*	`conf`	Continuous Latent Process Flows. NeurIPS Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
2021	J	`jnl`	Continuous Latent Process Flows. CoRR Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
2021	A	`conf`	PROVIDE: a probabilistic framework for unsupervised video decomposition. UAI Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann
2020	—	`conf`	Generating Videos of Zero-Shot Compositions of Actions and Objects. ECCV (12) Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal, Greg Mori
2020	A*	`conf`	Learning Physics-Guided Face Relighting Under Directional Light. CVPR Thomas Nestmeyer, Jean-François Lalonde, Iain A. Matthews, Andreas M. Lehrmann
2020	A*	`conf`	Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. NeurIPS Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
2020	J	`jnl`	Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. CoRR Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
2020	J	`jnl`	Unsupervised Video Decomposition using Spatio-temporal Iterative Inference. CoRR Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann
2019	J	`jnl`	Neural Volumes: Learning Dynamic Renderable Volumes from Images. CoRR Stephen Lombardi, Tomas Simon, Jason M. Saragih, Gabriel Schwartz, Andreas M. Lehrmann, Yaser Sheikh
2019	J	`jnl`	Neural volumes: learning dynamic renderable volumes from images. ACM Trans. Graph. Stephen Lombardi, Tomas Simon, Jason M. Saragih, Gabriel Schwartz, Andreas M. Lehrmann, Yaser Sheikh
2019	J	`jnl`	Structural Decompositions for End-to-End Relighting. CoRR Thomas Nestmeyer, Iain A. Matthews, Jean-François Lalonde, Andreas M. Lehrmann
2019	—	`conf`	Variational Autoencoders with Jointly Optimized Latent Dependency Structure. ICLR (Poster) Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas M. Lehrmann
2019	J	`jnl`	Zero-Shot Generation of Human-Object Interaction Videos. CoRR Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal
2018	—	`conf`	Probabilistic Video Generation Using Holistic Attribute Control. ECCV (5) Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal
2018	J	`jnl`	Probabilistic Video Generation using Holistic Attribute Control. CoRR Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal
2018	J	`jnl`	Towards Traversing the Continuous Spectrum of Image Retrieval. CoRR Ziad Al-Halah, Andreas M. Lehrmann, Leonid Sigal
2017	—	`conf`	Non-parametric Structured Output Networks. NIPS Andreas M. Lehrmann, Leonid Sigal
2017	—	`conf`	Visual Reference Resolution using Attention Memory for Visual Dialog. NIPS Paul Hongsuck Seo, Andreas M. Lehrmann, Bohyung Han, Leonid Sigal
2017	J	`jnl`	Visual Reference Resolution using Attention Memory for Visual Dialog. CoRR Paul Hongsuck Seo, Andreas M. Lehrmann, Bohyung Han, Leonid Sigal
2016	—	`—`	Non-parametric models for structured data and applications to human bodies and natural scenes. Andreas M. Lehrmann
2014	A*	`conf`	Efficient Nonlinear Markov Models for Human Motion. CVPR Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin
2013	A*	`conf`	A Non-parametric Bayesian Network Prior of Human Pose. ICCV Andreas M. Lehrmann, Peter V. Gehler, Sebastian Nowozin
2013	J	`jnl`	Visualizing dimensionality reduction of systems biology data. Data Min. Knowl. Discov. Andreas M. Lehrmann, Michael Huber, Aydin Can Polatkan, Albert Pritzkau, Kay Nieselt