43 citations · 67 across the 6 of their papers we have counts for
3 papers · 1 filter
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction
Nikolay Savinov, Lubor Ladicky, Christian Haene +1
Dense semantic 3D reconstruction is typically formulated as a discrete or continuous problem over label assignments in a voxel grid, combining semantic and depth likelihoods in a M…
RNN-based Generative Model for Fine-Grained Sketching
Andrin Jenal, Nikolay Savinov, Torsten Sattler +1
Deep generative models have shown great promise when it comes to synthesising novel images. While they can generate images that look convincing on a higher-level, generating fine-g…
Matching neural paths: transfer from recognition to correspondence search
Nikolay Savinov, Lubor Ladicky, Marc Pollefeys
Many machine learning tasks require finding per-part correspondences between objects. In this work we focus on low-level correspondences - a highly ambiguous matching problem. We p…