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20162022
most citedRobust super-resolution depth imaging via a multi-feature fusion deep network

36 citations · 60 across the 6 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.IV20191 cited

EM-based approach to 3D reconstruction from single-waveform multispectral Lidar data

Quentin Legros, Sylvain Meignen, Stephen McLaughlin +1

In this paper, we present a novel Bayesian approach for estimating spectral and range profiles from single-photon Lidar waveforms associated with single surfaces in the photon-limi…

physics.ins-det2019

A Hierarchical Bayesian Approach to Neutron Spectrum Unfolding with Organic Scintillators

Haonan Zhu, Yoann Altmann, Angela Di Fulvioand Stephen McLaughlin +2

We propose a hierarchical Bayesian model and state-of-art Monte Carlo sampling method to solve the unfolding problem, i.e., to estimate the spectrum of an unknown neutron source fr…

eess.IV2019

Fast online 3D reconstruction of dynamic scenes from individual single-photon detection events

Yoann Altmann, Stephen McLaughlin, Michael E. Davies

In this paper, we present an algorithm for online 3D reconstruction of dynamic scenes using individual times of arrival (ToA) of photons recorded by single-photon detector arrays.…

eess.IV2019

Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers

Julián Tachella, Yoann Altmann, Nicolas Mellado +5

Single-photon lidar has emerged as a prime candidate technology for depth imaging through challenging environments. Until now, a major limitation has been the significant amount of…

eess.SP2019

Bayesian 3D Reconstruction of Subsampled Multispectral Single-photon Lidar Signals

Julián Tachella, Yoann Altmann, Miguel Márquez +3

Light detection and ranging (Lidar) single-photon devices capture range and intensity information from a 3D scene. This modality enables long range 3D reconstruction with high rang…