| Efficient Nonlinear Markov Models for Human Motion AM Lehrmann, PV Gehler, S Nowozin Computer Vision and Pattern Recognition (CVPR), 2014 | 61 | 2014 |
| Visual Reference Resolution using Attention Memory for Visual Dialog PH Seo, AM Lehrmann, B Han, L Sigal Advances in Neural Information Processing Systems (NIPS), 2017 | 46 | 2017 |
| A Non-parametric Bayesian Network Prior of Human Pose AM Lehrmann, PV Gehler, S Nowozin International Conference on Computer Vision (ICCV), 2013 | 29 | 2013 |
| Probabilistic Video Generation using Holistic Attribute Control J He, AM Lehrmann, J Marino, G Mori, L Sigal European Conference on Computer Vision (ECCV), 2018 | 23 | 2018 |
| Neural volumes: Learning dynamic renderable volumes from images S Lombardi, T Simon, J Saragih, G Schwartz, A Lehrmann, Y Sheikh ACM Transactions on Graphics (TOG) 38 (4), 65, 2019 | 14 | 2019 |
| Visualizing Dimensionality Reduction of Systems Biology Data AM Lehrmann, M Huber, AC Polatkan, A Pritzkau, K Nieselt Data Mining and Knowledge Discovery, 2013 | 6 | 2013 |
| Variational autoencoders with jointly optimized latent dependency structure J He, Y Gong, J Marino, G Mori, A Lehrmann | 4 | 2018 |
| Non-parametric Structured Output Networks AM Lehrmann, L Sigal Advances in Neural Information Processing Systems (NIPS), 2017 | 4 | 2017 |
| Towards Traversing the Continuous Spectrum of Image Retrieval Z Al-Halah, AM Lehrmann, L Sigal arXiv preprint arXiv:1812.00202, 2018 | 1 | 2018 |
| Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows R Deng, B Chang, MA Brubaker, G Mori, A Lehrmann arXiv preprint arXiv:2002.10516, 2020 | | 2020 |
| Zero-Shot Generation of Human-Object Interaction Videos M Nawhal, M Zhai, A Lehrmann, L Sigal arXiv preprint arXiv:1912.02401, 2019 | | 2019 |
| Visual reference resolution using attention memory for visual dialog A Lehrmann, PH SEO US Patent App. 15/884,339, 2019 | | 2019 |
| Structural Decompositions for End-to-End Relighting T Nestmeyer, I Matthews, JF Lalonde, AM Lehrmann arXiv preprint arXiv:1906.03355, 2019 | | 2019 |
| System and method of analyzing images using a hierarchical set of models AM Lehrmann, L Sigal US Patent 10,163,036, 2018 | | 2018 |
| Traversing the Continuous Spectrum of Image Retrieval with Deep Dynamic Models Z Al-Halah, AM Lehrmann, L Sigal arXiv preprint arXiv:1812.00202, 2018 | | 2018 |
| Variational Latent Dependency Learning J He, Y Gong, J Marino, G Mori, AM Lehrmann | | 2018 |
| Visual Reference Resolution using Attention Memory for Visual Dialog P Hongsuck Seo, A Lehrmann, B Han, L Sigal arXiv preprint arXiv:1709.07992, 2017 | | 2017 |
| Non-parametric Models for Structured Data and Applications to Human Bodies and Natural Scenes AM Lehrmann ETH Zurich, 2016 | | 2016 |
| Non-parametric Scene Prior Hierarchies with Dynamic Topology AM Lehrmann, L Sigal | | 2015 |
| Statistical Methods for Linear and Non-linear Feature Extraction and Applications to the Visualization of Transcriptome Data AM Lehrmann University of Tuebingen, 2011 | | 2011 |
Leonid SigalAssociate Professor, University of British ColumbiaBestätigte E-Mail-Adresse bei cs.ubc.ca
