9 citations · 13 across the 5 of their papers we have counts for
13 papers
Principal Component Classification
Rozenn Dahyot
We propose to directly compute classification estimates by learning features encoded with their class scores using PCA. Our resulting model has a encoder-decoder structure suitable…
3D point cloud segmentation using GIS
Chao-Jung Liu, Vladimir Krylov, Rozenn Dahyot
In this paper we propose an approach to perform semantic segmentation of 3D point cloud data by importing the geographic information from a 2D GIS layer (OpenStreetMap). The propos…
Context Aware Object Geotagging
Chao-Jung Liu, Matej Ulicny, Michael Manzke +1
Localization of street objects from images has gained a lot of attention in recent years. We propose an approach to improve asset geolocation from street view imagery by enhancing…
Sliced Distance for Colour Grading
Hana Alghamdi, Rozenn Dahyot
We propose a new method with distance that maps one -dimensional distribution to another, taking into account available information about correspondences. We sol…
Tensor Reordering for CNN Compression
Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot
We show how parameter redundancy in Convolutional Neural Network (CNN) filters can be effectively reduced by pruning in spectral domain. Specifically, the representation extracted…
Iterative Nadaraya-Watson Distribution Transfer for Colour Grading
Hana Alghamdi, Rozenn Dahyot
We propose a new method with Nadaraya-Watson that maps one N-dimensional distribution to another taking into account available information about correspondences. We extend the 2D/3…