Talita Perciano

Orcid: 0000-0002-2388-1803

According to our database1, Talita Perciano authored at least 27 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
A machine learning pipeline for membrane segmentation of cryo-electron tomograms.
J. Comput. Sci., January, 2023

AutoCT: Automated CT registration, segmentation, and quantification.
CoRR, 2023

Quantum Computing and Visualization: A Disruptive Technological Change Ahead.
IEEE Computer Graphics and Applications, 2023

2022
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography.
CoRR, 2022

Adaptable Deep Learning and Probabilistic Graphical Model System for Semantic Segmentation.
Adv. Artif. Intell. Mach. Learn., 2022

2021
Quantum pixel representations and compression for N-dimensional images.
CoRR, 2021

HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization.
Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel.
Proceedings of the 21st Eurographics Symposium on Parallel Graphics and Visualization, 2021

2020
Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels.
CoRR, 2020

Shared-Memory Parallel Probabilistic Graphical Modeling Optimization: Comparison of Threads, OpenMP, and Data-Parallel Primitives.
Proceedings of the High Performance Computing - 35th International Conference, 2020

Sparse Matrix-Based HPC Tomography.
Proceedings of the Computational Science - ICCS 2020, 2020

2018
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives.
Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018

2017
Maximal clique enumeration with data-parallel primitives.
Proceedings of the 7th IEEE Symposium on Large Data Analysis and Visualization, 2017

Distributed memory parallel Markov random fields using graph partitioning.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Nanosurveyor: a framework for real-time data processing.
CoRR, 2016

Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


2015
Fast detection of material deformation through structural dissimilarity.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Structure recognition from high resolution images of ceramic composites.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Introduction to Image Processing Using R - Learning by Examples.
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-4949-1, 2013

2012
Detection of thin and ramified structures in images using Markov random fields and perceptual information (Detecção de estruturas finas e ramificadas em imagens usando campos aleatórios de Markov e informação perceptual).
PhD thesis, 2012

Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function
CoRR, 2012

How to combine TerraSAR-X and Cosmo-SkyMed high-resolution images for a better scene understanding?
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
A hierarchical Markov random field for road network extraction and its application with optical and SAR data.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Parameter Estimation for Ridge Detection in Images with Thin Structures.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

Ridge Linking Using an Adaptive Oriented Mask Applied to Plant Root Images with Thin Structures.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2008
Restoration of vibro-acoustography images.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008


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