Search Results for author: D. Ponsa

Found 2 papers, 2 papers with code

A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

1 code implementation21 Sep 2020 E. Riba, D. Mishkin, J. Shi, D. Ponsa, F. Moreno-Noguer, G. Bradski

This work presents Kornia, an open source computer vision library built upon a set of differentiable routines and modules that aims to solve generic computer vision problems.

Camera Calibration Edge Detection +2

Learning local feature descriptors with triplets and shallow convolutional neural networks

2 code implementations British Machine Vision Conference 2016 V. Balntas, E. Riba, D. Ponsa, and K. Mikolajczyk.

We compare our approach to recently introduced convolutional local feature descriptors, and demonstrate the advantages of the proposed methods in terms of performance and speed.

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