3 citations · 3 across the 2 of their papers we have counts for
3 papers
PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domain
Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor +5
Camera and Lidar processing have been revolutionized with the rapid development of deep learning model architectures. Automotive radar is one of the crucial elements of automated d…
Deep Open Space Segmentation using Automotive Radar
Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor +5
In this work, we propose the use of radar with advanced deep segmentation models to identify open space in parking scenarios. A publically available dataset of radar observations c…
Analyzing Stability of Convolutional Neural Networks in the Frequency Domain
Elnaz J. Heravi, Hamed H. Aghdam, Domenec Puig
Understanding the internal process of ConvNets is commonly done using visualization techniques. However, these techniques do not usually provide a tool for estimating the stability…