72 citations · 85 across the 3 of their papers we have counts for
3 papers
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
Stepan Tulyakov, Anton Ivanov, Francois Fleuret
End-to-end deep-learning networks recently demonstrated extremely good perfor- mance for stereo matching. However, existing networks are difficult to use for practical applications…
Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter
Stepan Tulyakov, Anton Ivanov, Nicolas Thomas +5
There are many geometric calibration methods for "standard" cameras. These methods, however, cannot be used for the calibration of telescopes with large focal lengths and complex o…
Semi-supervised learning of deep metrics for stereo reconstruction
Stepan Tulyakov, Anton Ivanov, Francois Fleuret
Deep-learning metrics have recently demonstrated extremely good performance to match image patches for stereo reconstruction. However, training such metrics requires large amount o…