no code implementations • CVPR 2020 • Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen
We demonstrate that our feed-forward network, even though it is trained solely on synthetic data, generalizes to measured data from SPAD sensors and is able to obtain results that are competitive with model-based reconstruction methods.
no code implementations • 20 Dec 2019 • Jonathan Klein, Martin Laurenzis, Matthias B. Hullin, Julian Iseringhausen
The recent years have given rise to a large number of techniques for "looking around corners", i. e., for reconstructing occluded objects from time-resolved measurements of indirect light reflections off a wall.
no code implementations • 21 Sep 2018 • Julian Iseringhausen, Matthias B. Hullin
Being able to see beyond the direct line of sight is an intriguing prospective and could benefit a wide variety of important applications.
