1 code implementation • 7 Dec 2021 • Marius Memmel, Christoph Reich, Nicolas Wagner, Faraz Saeedan
With the increased availability of 3D data, the need for solutions processing those also increased rapidly.
no code implementations • 4 Oct 2018 • Jan-Martin O. Steitz, Faraz Saeedan, Stefan Roth
First, we introduce a novel multi-view pooling layer to perform a 3D aggregation of 2D CNN-features extracted from each view.
2 code implementations • CVPR 2018 • Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth
This is commonly referred to as pooling, and is applied to reduce the number of parameters, improve invariance to certain distortions, and increase the receptive field size.
no code implementations • 26 Mar 2015 • Faraz Saeedan, Barbara Caputo
Here we follow this approach, and show how a very simple, learning free Naive Bayes Nearest Neighbor (NBNN)-based domain adaptation algorithm can significantly alleviate the distribution mismatch among source and target data, especially when the number of classes and the number of sources grow.