no code implementations • GWC 2018 • Kiril Simov, Alexander Popov, Iliana Simova, Petya Osenova
In this paper we present an approach for training verb subatom embeddings.
no code implementations • GWC 2016 • Kiril Simov, Alexander Popov, Petya Osenova
In this paper we present an analysis of different semantic relations extracted from WordNet, Extended WordNet and SemCor, with respect to their role in the task of knowledge-based word sense disambiguation.
1 code implementation • 16 Apr 2024 • Nico Meyer, Jakob Murauer, Alexander Popov, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
This objective can be achieved using policy iteration, which requires to solve a typically large linear system of equations.
no code implementations • 29 Sep 2022 • Alexander Popov, Patrik Gebhardt, Ke Chen, Ryan Oldja, Heeseok Lee, Shane Murray, Ruchi Bhargava, Nikolai Smolyanskiy
To this end, we present NVRadarNet, a deep neural network (DNN) that detects dynamic obstacles and drivable free space using automotive RADAR sensors.
no code implementations • 9 Jun 2020 • Ke Chen, Ryan Oldja, Nikolai Smolyanskiy, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, Joachim Pehserl
We show that our multi-view, multi-stage, multi-class approach is able to detect and classify objects while simultaneously determining the drivable space using a single LiDAR scan as input, in challenging scenes with more than one hundred vehicles and pedestrians at a time.
no code implementations • 23 Jun 2015 • Alexander Popov, Dimitrios Zermas, Nikolaos Papanikolopoulos
An approach is proposed for high resolution 3D reconstruction of an object using a Micro Air Vehicle (MAV).