3 papers
cs.CV2019
Deep Neural Network Compression for Image Classification and Object Detection
Georgios Tzelepis, Ahraz Asif, Saimir Baci +2
Neural networks have been notorious for being computationally expensive. This is mainly because neural networks are often over-parametrized and most likely have redundant nodes or…
cs.RO2019
Exercising with an "Iron Man": Design for a Robot Exercise Coach for Persons with Dementia
Martin Cooney, Jacob Pihl, Hanna Larsson +2
Socially assistive robots are increasingly being designed to interact with humans in various therapeutical scenarios. We believe that one useful scenario is providing exercise coac…
cs.CV2019
SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving
Eren Erdal Aksoy, Saimir Baci, Selcuk Cavdar
In this paper, we introduce a deep encoder-decoder network, named SalsaNet, for efficient semantic segmentation of 3D LiDAR point clouds. SalsaNet segments the road, i.e. drivable…