166 citations · 166 across the 3 of their papers we have counts for
4 papers
Logarithmic Continual Learning
Wojciech Masarczyk, Paweł Wawrzyński, Daniel Marczak +2
We introduce a neural network architecture that logarithmically reduces the number of self-rehearsal steps in the generative rehearsal of continually learned models. In continual l…
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
The paper presents a deep neural network-based method for global and local descriptors extraction from a point cloud acquired by a rotating 3D LiDAR. The descriptors can be used fo…
End-to-end Sinkhorn Autoencoder with Noise Generator
Kamil Deja, Jan Dubiński, Piotr Nowak +2
In this work, we propose a novel end-to-end sinkhorn autoencoder with noise generator for efficient data collection simulation. Simulating processes that aim at collecting experime…
Predicting popularity of online videos using Support Vector Regression
Tomasz Trzcinski, Przemyslaw Rokita
In this work, we propose a regression method to predict the popularity of an online video based on temporal and visual cues. Our method uses Support Vector Regression with Gaussian…