123 citations · 124 across the 3 of their papers we have counts for
3 papers
cs.RO2016
Highly Efficient Compact Pose SLAM with SLAM++
Viorela Ila, Lukas Polok, Marek Solony +1
Maximum likelihood estimation (MLE) is a well-known estimation method used in many robotic and computer vision applications. Under Gaussian assumption, the MLE converts to a nonlin…
cs.CV2016★ 123 cited
Compression Artifacts Removal Using Convolutional Neural Networks
Pavel Svoboda, Michal Hradis, David Barina +1
This paper shows that it is possible to train large and deep convolutional neural networks (CNN) for JPEG compression artifacts reduction, and that such networks can provide signif…
cs.CV2016★ 1 cited
CNN for License Plate Motion Deblurring
Pavel Svoboda, Michal Hradis, Lukas Marsik +1
In this work we explore the previously proposed approach of direct blind deconvolution and denoising with convolutional neural networks in a situation where the blur kernels are pa…