5 citations · 10 across the 4 of their papers we have counts for
6 papers
Spline Sketches: An Efficient Approach for Photon Counting Lidar
Michael Patrick Sheehan, Julian Tachella, Mike E. Davies
Photon counting lidar has become an invaluable tool for 3D depth imaging due to the fine-precision it can achieve over long ranges. However, high frame rate, high resolution lidar…
Sketched RT3D: How to reconstruct billions of photons per second
Julián Tachella, Michael P. Sheehan, Mike E. Davies
Single-photon light detection and ranging (lidar) captures depth and intensity information of a 3D scene. Reconstructing a scene from observed photons is a challenging task due to…
Compressive Independent Component Analysis: Theory and Algorithms
Michael P. Sheehan, Mike E. Davies
Compressive learning forms the exciting intersection between compressed sensing and statistical learning where one exploits forms of sparsity and structure to reduce the memory and…
Surface Detection for Sketched Single Photon Lidar
Michael P. Sheehan, Julián Tachella, Mike E. Davies
Single-photon lidar devices are able to collect an ever-increasing amount of time-stamped photons in small time periods due to increasingly larger arrays, generating a memory and c…
A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar
Michael P. Sheehan, Julián Tachella, Mike E. Davies
Single-photon lidar has become a prominent tool for depth imaging in recent years. At the core of the technique, the depth of a target is measured by constructing a histogram of ti…
Compressive Learning for Semi-Parametric Models
Michael P. Sheehan, Antoine Gonon, Mike E. Davies
In the compressive learning theory, instead of solving a statistical learning problem from the input data, a so-called sketch is computed from the data prior to learning. The sketc…