Nikolay Savinov
Nikolay Savinov
Research Scientist, Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
2602017
TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks
D Laptev*, N Savinov*, JM Buhmann, M Pollefeys
CVPR 2016, 2016
1592016
Semi-parametric topological memory for navigation
N Savinov*, A Dosovitskiy*, V Koltun
ICLR 2018, 2018
1342018
Episodic Curiosity through Reachability
N Savinov*, A Raichuk*, R Marinier*, D Vincent*, M Pollefeys, T Lillicrap, ...
ICLR 2019, 2018
842018
Quad-networks: unsupervised learning to rank for interest point detection
N Savinov, A Seki, L Ladicky, T Sattler, M Pollefeys
CVPR 2017, 2017
762017
Conditional Affordance Learning for Driving in Urban Environments
A Sauer, N Savinov, A Geiger
CoRL 2018, 2018
722018
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction
N Savinov*, L Ladicky*, C Haene, M Pollefeys
CVPR 2015, 2015
632015
Class specific 3d object shape priors using surface normals
C Häne, N Savinov, M Pollefeys
CVPR 2014, 2014
482014
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
472016
Matching neural paths: transfer from recognition to correspondence search
N Savinov, L Ladicky, M Pollefeys
NIPS 2017, 2017
82017
Imitating Interactive Intelligence
J Abramson, A Ahuja, A Brussee, F Carnevale, M Cassin, S Clark, ...
arXiv preprint arXiv:2012.05672, 2020
2020
Modeling the visual world: reconstruction and neural episodic representation
N Savinov
ETH Zurich, 2019
2019
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Articles 1–12