| Semantic3D.net: a new large-scale point cloud classification benchmark T Hackel, N Savinov, L Ladicky, JD Wegner, K Schindler, M Pollefeys arXiv preprint arXiv:1704.03847, 2017 | 227 | 2017 |
| TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks D Laptev*, N Savinov*, JM Buhmann, M Pollefeys CVPR 2016, 2016 | 137 | 2016 |
| Semi-parametric topological memory for navigation N Savinov*, A Dosovitskiy*, V Koltun ICLR 2018, 2018 | 112 | 2018 |
| Episodic Curiosity through Reachability N Savinov*, A Raichuk*, R Marinier*, D Vincent*, M Pollefeys, T Lillicrap, ... ICLR 2019, 2018 | 71 | 2018 |
| Quad-networks: unsupervised learning to rank for interest point detection N Savinov, A Seki, L Ladicky, T Sattler, M Pollefeys CVPR 2017, 2017 | 66 | 2017 |
| Conditional Affordance Learning for Driving in Urban Environments A Sauer, N Savinov, A Geiger CoRL 2018, 2018 | 60 | 2018 |
| Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction N Savinov*, L Ladicky*, C Haene, M Pollefeys CVPR 2015, 2015 | 55 | 2015 |
| Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint N Savinov, C Haene, L Ladicky, M Pollefeys CVPR 2016, 2016 | 40 | 2016 |
| Class specific 3d object shape priors using surface normals C Häne, N Savinov, M Pollefeys CVPR 2014, 2014 | 40 | 2014 |
| Matching neural paths: transfer from recognition to correspondence search N Savinov, L Ladicky, M Pollefeys NIPS 2017, 2017 | 7 | 2017 |
| Modeling the visual world: reconstruction and neural episodic representation N Savinov ETH Zurich, 2019 | | 2019 |
Marc PollefeysDirector of Science, Microsoft HoloLens; Professor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
