activity
20162023
most citedSampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding

48 citations · 85 across the 10 of their papers we have counts for

collaborators

12 papers

cs.RO2023★ 18 cited

Blind as a bat: audible echolocation on small robots

Frederike Dümbgen, Adrien Hoffet, Mihailo Kolundžija +2

For safe and efficient operation, mobile robots need to perceive their environment, and in particular, perform tasks such as obstacle detection, localization, and mapping. Although…

eess.IV2022

Lippmann Photography: A Signal Processing Perspective

Gilles Baechler, Michalina Pacholska, Arnaud Latty +2

Lippmann (or interferential) photography is the first and only analog photography method that can capture the full color spectrum of a scene in a single take. This technique, inven…

eess.IV2022

How Asynchronous Events Encode Video

Karen Adam, Adam Scholefield, Martin Vetterli

As event-based sensing gains in popularity, theoretical understanding is needed to harness this technology's potential. Instead of recording video by capturing frames, event-based…

eess.IV2021★ 13 cited

Asynchrony Increases Efficiency: Time Encoding of Videos and Low-Rank Signals

Karen Adam, Adam Scholefield, Martin Vetterli

In event-based sensing, many sensors independently and asynchronously emit events when there is a change in their input. Event-based sensing can present significant improvements in…

cs.RO2020★ 1 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.SP2020★ 5 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★ 48 cited

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…

cs.CV2016

On the Accuracy of Point Localisation in a Circular Camera-Array

Alireza Ghasemi, Adam Scholefield, Martin Vetterli

Although many advances have been made in light-field and camera-array image processing, there is still a lack of thorough analysis of the localisation accuracy of different multi-c…

cs.CV2016

SHAPE: Linear-Time Camera Pose Estimation With Quadratic Error-Decay

Alireza Ghasemi, Adam Scholefield, Martin Vetterli

We propose a novel camera pose estimation or perspective-n-point (PnP) algorithm, based on the idea of consistency regions and half-space intersections. Our algorithm has linear ti…