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Muhammad Asad Lodhi

3 accepted papers

2023

Sparse Convolution Based Octree Feature Propagation for Lidar Point Cloud Compression

ICASSP 2023accepted

With the advent of new 3D scanning technologies, point clouds have become a crucial way to depict real and virtual objects/scenes. Point clouds represent the continuous sur-faces of underlying object/scene through a collection (usually millions) of discrete, irregular, and often sparsely distributed…

Cited by 0SourceScholar
2020

Inverse Multiple Scattering with Phaseless Measurements

ICASSP 2020accepted

We study the problem of reconstructing an object from phaseless measurements in the context of inverse multiple scattering. Our formulation explicitly decouples the variables that represent the unknown object image and the unknown phase, respectively, in the forward model. This enables us to simulta…

Cited by 0SourceScholar
2019

Coherent Radar Imaging Using Unsynchronized Distributed Antennas

ICASSP 2019accepted

In this paper we develop an optimization-based solution to the problem of distributed radar imaging using antennas with asynchronous clocks. In particular, we consider a distributed radar imaging MIMO system observing a sparse scene under an unknown, but bounded, delay between the transmitter and re…

Cited by 0SourceScholar