Publications

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Nikolay Savinov, Anton Raichuk, Raphaël Marinier, Damien Vincent, Marc Pollefeys, Timothy Lillicrap, Sylvain Gelly. Episodic Curiosity through Reachability. ICLR 2019, 2018.

PDF Code Project Video

Axel Sauer, Nikolay Savinov, Andreas Geiger. Conditional Affordance Learning for Driving in Urban Environments. CoRL 2018, 2018.

Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun. Semi-parametric Topological Memory for Navigation. ICLR 2018, 2018.

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Nikolay Savinov, Lubor Ladicky, Marc Pollefeys. Matching neural paths: transfer from recognition to correspondence search. NIPS 2017, 2017.

Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan Wegner, Konrad Schindler, Marc Pollefeys. Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark. Arxiv, 2017.

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Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys. Quad-networks: unsupervised learning to rank for interest point detection. CVPR 2017, 2017.

Dmitry Laptev, Nikolay Savinov, Joachim Buhmann, Marc Pollefeys. TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks. CVPR 2016, 2016.

Nikolay Savinov, Christian Haene, Lubor Ladicky, Marc Pollefeys. Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. CVPR 2016, 2016.

Nikolay Savinov, Lubor Ladicky, Christian Haene, Marc Pollefeys. Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction. CVPR 2015, 2015.

Christian Haene, Nikolay Savinov, Marc Pollefeys. Class Specific 3D Object Shape Priors Using Surface Normals. CVPR 2014, 2014.