HOT OFF THE PRESS

IMAGING LIFE AT SCALES BELOW THE DIFFRACTION LIMIT

We are collaborating with the Gahlmann Lab in UVA Chemistry on analyzing images of living bacterial biofilms.
Check out VIVA's paper in Nature!

WORK ON IMAGE ANALYSIS FOR NEUROSCIENCE

We are collaborating with UVA neuroscientists and biologists to address the most important question in all of engineering and medicine... how does the brain work?
Non-invasive single-cell morphometry in living bacterial biofilms

In this work, we present Bacterial Cell Morphometry 3D (BCM3D), an image analysis workflow that combines deep learning with mathematical image analysis to accurately segment and classify single bacterial cells in 3D fluorescence images...Code available!

SITUP: Scale Invariant Tracking using Average Peak-to-Correlation Energy

Robust and accurate scale estimation of a target object is a challenging task in visual object tracking. We propose to incorporate a novel criterion called the average peak-to-correlation energy into the multi-resolution translation filter framework to obtain robust and accurate scale estimation...Code available!

FAST: Fast and Accurate Scale Estimation for Tracking

We propose a scale searching scheme that obtains robust and accurate scale estimation by incorporating a novel and robust criterion, the average peakto-correlation energy, into a multi-resolution translation filter framework...Code available!

GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data

A flash lidar can provide new opportunities for gait recognition; however, the lower quality and noisy imaging process of flash lidar negatively affects the performance of conventional solutions including the state-of-the-art skeleton-based systems. We present a filtering mechanism that corrects noisy and missing skeleton joint measurements to improve gait recognition...( See more about the project)

NeuroPath2Path: Classification and elastic morphing between neuronal arbors using path-wise similarity

The shape and connectivity of a neuron determine its function. Modern imaging methods have proven successful at extracting such information. NeuroPath2Path is an effective application for neuronal morphological representation. The morphology of a neuron, which consists of its overall size, global shape, local branch patterns...


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WE ARE VIVA

Learn more about our cool members and excellent alumni! Check out our current work in VIVA and latest publiations in Google Scholar page.

CONTACT US
Scott T. Acton
P.O.Box 400743, Charlottesville, VA 22904
viva.uva@gmail.com