activity
20162020
most citedMatrix recovery from bilinear and quadratic measurements

5 citations · 6 across the 3 of their papers we have counts for

collaborators

8 papers

cs.RO20201 cited

Realizability of Planar Point Embeddings from Angle Measurements

Frederike Dümbgen, Majed El Helou, Adam Scholefield

Localization of a set of nodes is an important and a thoroughly researched problem in robotics and sensor networks. This paper is concerned with the theory of localization from inn…

eess.SP20205 cited

Matrix recovery from bilinear and quadratic measurements

Michalina Pacholska, Karen Adam, Adam Scholefield +1

Matrix (or operator) recovery from linear measurements is a well-studied problem. However, there are situations where only bilinear or quadratic measurements are available. A bilin…

eess.SP2019

Encoding and Decoding Mixed Bandlimited Signals using Spiking Integrate-and-Fire Neurons

Karen Adam, Adam Scholefield, Martin Vetterli

Conventional sampling focuses on encoding and decoding bandlimited signals by recording signal amplitudes at known time points. Alternately, sampling can be approached using biolog…

eess.SP2019

Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding

Karen Adam, Adam Scholefield, Martin Vetterli

Sampling is classically performed by recording the amplitude of an input signal at given time instants; however, sampling and reconstructing a signal using multiple devices in para…

cs.CV2018

Embedded polarizing filters to separate diffuse and specular reflection

Laurent Valentin Jospin, Gilles Baechler, Adam Scholefield

Polarizing filters provide a powerful way to separate diffuse and specular reflection; however, traditional methods rely on several captures and require proper alignment of the fil…

cs.CV2018

Bound and Conquer: Improving Triangulation by Enforcing Consistency

Adam Scholefield, Alireza Ghasemi, Martin Vetterli

We study the accuracy of triangulation in multi-camera systems with respect to the number of cameras. We show that, under certain conditions, the optimal achievable reconstruction…