15 citations · 15 across the 2 of their papers we have counts for
4 papers
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module
Martin Gerdzhev, Ryan Razani, Ehsan Taghavi +1
Semantic segmentation of point clouds is a key component of scene understanding for robotics and autonomous driving. In this paper, we introduce TORNADO-Net - a neural network for…
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani +2
While several convolution-like operators have recently been proposed for extracting features out of point clouds, down-sampling an unordered point cloud in a deep neural network ha…
Object Recognition and Identification Using ESM Data
E. Taghavi, D. Song, R. Tharmarasa +3
Recognition and identification of unknown targets is a crucial task in surveillance and security systems. Electronic Support Measures (ESM) are one of the most effective sensors fo…
A Practical Bias Estimation Algorithm for Multisensor--Multitarget Tracking
Ehsan Taghavi, R. Tharmarasa, T. Kirubarajan +2
Bias estimation or sensor registration is an essential step in ensuring the accuracy of global tracks in multisensor-multitarget tracking. Most previously proposed algorithms for b…