33 citations · 68 across the 7 of their papers we have counts for
4 papers · 1 filter
Isometric Transformation Invariant Graph-based Deep Neural Network
Renata Khasanova, Pascal Frossard
Learning transformation invariant representations of visual data is an important problem in computer vision. Deep convolutional networks have demonstrated remarkable results for im…
Noise generation for compression algorithms
Renata Khasanova, Jan Wassenberg, Jyrki Alakuijala
In various Computer Vision and Signal Processing applications, noise is typically perceived as a drawback of the image capturing system that ought to be removed. We, on the other h…
Graph-Based Classification of Omnidirectional Images
Renata Khasanova, Pascal Frossard
Omnidirectional cameras are widely used in such areas as robotics and virtual reality as they provide a wide field of view. Their images are often processed with classical methods,…
Graph-based Isometry Invariant Representation Learning
Renata Khasanova, Pascal Frossard
Learning transformation invariant representations of visual data is an important problem in computer vision. Deep convolutional networks have demonstrated remarkable results for im…