activity
20162023
most citedFundamental Limits in Multi-image Alignment

54 citations · 119 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 1 cited

Similarity search in the blink of an eye with compressed indices

Cecilia Aguerrebere, Ishwar Bhati, Mark Hildebrand +2

Nowadays, data is represented by vectors. Retrieving those vectors, among millions and billions, that are similar to a given query is a ubiquitous problem, known as similarity sear…

eess.IV2018

A Practical Guide to Multi-image Alignment

Cecilia Aguerrebere, Mauricio Delbracio, Alberto Bartesaghi +1

Multi-image alignment, bringing a group of images into common register, is an ubiquitous problem and the first step of many applications in a wide variety of domains. As a result,…

cs.CV2017★ 46 cited

A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging

Cecilia Aguerrebere, Andrés Almansa, Julie Delon +2

Recently, impressive denoising results have been achieved by Bayesian approaches which assume Gaussian models for the image patches. This improvement in performance can be attribut…

cs.CV2016★ 18 cited

Probabilistic Fluorescence-Based Synapse Detection

Anish K. Simhal, Cecilia Aguerrebere, Forrest Collman +5

Brain function results from communication between neurons connected by complex synaptic networks. Synapses are themselves highly complex and diverse signaling machines, containing…

cs.CV2016★ 54 cited

Fundamental Limits in Multi-image Alignment

Cecilia Aguerrebere, Mauricio Delbracio, Alberto Bartesaghi +1

The performance of multi-image alignment, bringing different images into one coordinate system, is critical in many applications with varied signal-to-noise ratio (SNR) conditions.…