10 citations · 12 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 2 cited
Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling
Marek Wodzinski, Mateusz Daniol, Miroslaw Socha +3
The goal of this work is to propose a robust, fast, and fully automatic method for personalized cranial defect reconstruction and implant modeling. We propose a two-step deep learn…
eess.AS2020★ 10 cited
Joint gender and age estimation based on speech signals using x-vectors and transfer learning
Damian Kwasny, Daria Hemmerling
In this paper we extend the x-vector framework for the task of speaker's age estimation and gender classification. In particular, we replace the baseline multilayer-TDNN architectu…