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12/09/2021
IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo
We present IterMVS, a new data-driven method for high-resolution multi-v...
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12/03/2020
DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion
We propose an online multi-view depth prediction approach on posed video...
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12/02/2020
PatchmatchNet: Learned Multi-View Patchmatch Stereo
We present PatchmatchNet, a novel and learnable cascade formulation of P...
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08/25/2020
HoloLens 2 Research Mode as a Tool for Computer Vision Research
Mixed reality headsets, such as the Microsoft HoloLens 2, are powerful s...
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03/12/2018
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
The Sentinel-2 satellite mission delivers multi-spectral imagery with 13...
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01/31/2018
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks
While CNNs naturally lend themselves to densely sampled data, and sophis...
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03/28/2017
Learned Spectral Super-Resolution
We describe a novel method for blind, single-image spectral super-resolu...
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03/26/2017
Learned Multi-Patch Similarity
Estimating a depth map from multiple views of a scene is a fundamental t...
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12/05/2016