activity
20172020
most citedHoloLens 2 Research Mode as a Tool for Computer Vision Research

119 citations · 242 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV202023 cited

PatchmatchNet: Learned Multi-View Patchmatch Stereo

Fangjinhua Wang, Silvano Galliani, Christoph Vogel +2

We present PatchmatchNet, a novel and learnable cascade formulation of Patchmatch for high-resolution multi-view stereo. With high computation speed and low memory requirement, Pat…

cs.CV2020

DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion

Arda Düzçeker, Silvano Galliani, Christoph Vogel +3

We propose an online multi-view depth prediction approach on posed video streams, where the scene geometry information computed in the previous time steps is propagated to the curr…

cs.CV2020119 cited

HoloLens 2 Research Mode as a Tool for Computer Vision Research

Dorin Ungureanu, Federica Bogo, Silvano Galliani +9

Mixed reality headsets, such as the Microsoft HoloLens 2, are powerful sensing devices with integrated compute capabilities, which makes it an ideal platform for computer vision re…

cs.CV2018

Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network

Charis Lanaras, José Bioucas-Dias, Silvano Galliani +2

The Sentinel-2 satellite mission delivers multi-spectral imagery with 13 spectral bands, acquired at three different spatial resolutions. The aim of this research is to super-resol…

cs.CV2017100 cited

Learned Spectral Super-Resolution

Silvano Galliani, Charis Lanaras, Dimitrios Marmanis +2

We describe a novel method for blind, single-image spectral super-resolution. While conventional super-resolution aims to increase the spatial resolution of an input image, our goa…