Talita Perciano

39 papers B 1C 5Misc 1Journal 21Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis.
CoRR
Jiaqing Chen, Nicholas Hadler, Tiankai Xie, Rostyslav Hnatyshyn, Caleb Geniesse, Yaoqing Yang, Michael W. Mahoney, Talita Perciano, John F. Hartwig, Ross Maciejewski, Gunther H. Weber
2026 J jnl
Quantum Computing and Visualization Research Challenges and Opportunities.
IEEE Computer Graphics and Applications
E. Wes Bethel, Roel Van Beeumen, Talita Perciano
2025 J jnl
LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics.
IEEE Computer Graphics and Applications
Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W. Mahoney, Talita Perciano, Gunther H. Weber, Ross Maciejewski
2025 — conf
Quantum Transfer Learning to Boost Dementia Detection.
ACM Great Lakes Symposium on VLSI
Sounak Bhowmik, Talita Perciano, Himanshu Thapliyal
2025 J jnl
Quantum Transfer Learning to Boost Dementia Detection.
CoRR
Sounak Bhowmik, Talita Perciano, Himanshu Thapliyal
2024 J jnl
AutoCT: Automated CT registration, segmentation, and quantification.
SoftwareX
Zhe Bai, Abdelilah Essiari, Talita Perciano, Kristofer E. Bouchard
2024 J jnl
Case Study: Leveraging GenAI to Build AI-based Surrogates and Regressors for Modeling Radio Frequency Heating in Fusion Energy Science.
CoRR
E. Wes Bethel, Vianna Cramer, Alexander del Rio, Lothar Narins, Chris Pestano, Satvik Verma, Erick Arias, Nicola Bertelli, Talita Perciano, Syun'ichi Shiraiwa, Álvaro Sánchez Villar, Greg Wallace, John C. Wright
2024 J jnl
LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics.
CoRR
Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W. Mahoney, Talita Perciano, Gunther H. Weber, Ross Maciejewski
2024 J jnl
Visualizing Loss Functions as Topological Landscape Profiles.
CoRR
Caleb Geniesse, Jiaqing Chen, Tiankai Xie, Ge Shi, Yaoqing Yang, Dmitriy Morozov, Talita Perciano, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber
2023 J jnl
A machine learning pipeline for membrane segmentation of cryo-electron tomograms.
J. Comput. Sci.
Li Zhou, Chao Yang, Weiguo Gao, Talita Perciano, Karen M. Davies, Nicholas K. Sauter
2023 J jnl
AutoCT: Automated CT registration, segmentation, and quantification.
CoRR
Zhe Bai, Abdelilah Essiari, Talita Perciano, Kristofer E. Bouchard
2023 J jnl
Quantum Computing and Visualization: A Disruptive Technological Change Ahead.
IEEE Computer Graphics and Applications
E. Wes Bethel, Mercy G. Amankwah, Jan Balewski, Roel Van Beeumen, Daan Camps, Daniel Huang, Talita Perciano
2023 J jnl
Quantum Computing and Visualization: A Disruptive Technological Change Ahead.
CoRR
E. Wes Bethel, Mercy G. Amankwah, Jan Balewski, Roel Van Beeumen, Daan Camps, Daniel Huang, Talita Perciano
2022 J jnl
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography.
CoRR
Rey Mendoza, Minh Nguyen, Judith Weng Zhu, Vincent Dumont, Talita Perciano, Juliane Mueller, Vidya Ganapati
2022 J jnl
Adaptable Deep Learning and Probabilistic Graphical Model System for Semantic Segmentation.
Adv. Artif. Intell. Mach. Learn.
Matthew Avaylon, Robbie Sadre, Zhe Bai, Talita Perciano
2021 — conf
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization.
MLHPC@SC
Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day
2021 J jnl
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization.
CoRR
Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day
2021 — conf
Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel.
EGPGV@EuroVis
E. Wes Bethel, Colleen Heinemann, Talita Perciano
2021 J jnl
Quantum pixel representations and compression for N-dimensional images.
CoRR
Mercy G. Amankwah, Daan Camps, E. Wes Bethel, Roel Van Beeumen, Talita Perciano
2020 J jnl
Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels.
CoRR
E. Wes Bethel, David Camp, Talita Perciano, Colleen Heinemann
2020 C conf
Shared-Memory Parallel Probabilistic Graphical Modeling Optimization: Comparison of Threads, OpenMP, and Data-Parallel Primitives.
ISC
Talita Perciano, Colleen Heinemann, David Camp, Brenton Lessley, E. Wes Bethel
2020 — conf
Sparse Matrix-Based HPC Tomography.
ICCS (1)
Stefano Marchesini, Anuradha Trivedi, Pablo Enfedaque, Talita Perciano, Dilworth Parkinson
2020 J jnl
Sparse Matrix-Based HPC Tomography.
CoRR
Stefano Marchesini, Anuradha Trivedi, Pablo Enfedaque, Talita Perciano, Dilworth Parkinson
2018 — conf
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives.
LDAV
Brenton Lessley, Talita Perciano, Colleen Heinemann, David Camp, Hank Childs, E. Wes Bethel
2018 J jnl
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives.
CoRR
Brenton Lessley, Talita Perciano, Colleen Heinemann, David Camp, Hank Childs, E. Wes Bethel
2017 — conf
Distributed memory parallel Markov random fields using graph partitioning.
IEEE BigData
Colleen Heinemann, Talita Perciano, Daniela Ushizima, E. Wes Bethel
2017 — conf
Maximal clique enumeration with data-parallel primitives.
LDAV
Brenton Lessley, Talita Perciano, Manish Mathai, Hank Childs, E. Wes Bethel
2016 — conf
Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible.
Computational Imaging
S. V. Venkatakrishnan, K. Aditya Mohan, Keith Beattie, Joaquin Correa, Eli Dart, Jack Deslippe, Alexander Hexemer, Harinarayan Krishnan, Alastair A. MacDowell, Stefano Marchesini, Simon J. Patton, Talita Perciano, James A. Sethian, Rune Stromsness, Brian L. Tierney, Craig E. Tull, Daniela Ushizima, Dilworth Y. Parkinson
2016 J jnl
Nanosurveyor: a framework for real-time data processing.
CoRR
Benedikt J. Daurer, Harinarayan Krishnan, Talita Perciano, Filipe R. N. C. Maia, David A. Shapiro, James A. Sethian, Stefano Marchesini
2016 B conf
Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning.
ICIP
Talita Perciano, Daniela Mayumi Ushizima, E. Wes Bethel, Yariv Dror Mizrahi, Dilworth Parkinson, James A. Sethian
2015 — conf
Fast detection of material deformation through structural dissimilarity.
IEEE BigData
Daniela Ushizima, Talita Perciano, Dilworth Parkinson
2014 — conf
Structure recognition from high resolution images of ceramic composites.
IEEE BigData
Daniela Ushizima, Talita Perciano, Harinarayan Krishnan, Burlen Loring, Hrishikesh Bale, Dilworth Parkinson, James A. Sethian
2013 — book
Introduction to Image Processing Using R - Learning by Examples.
Alejandro César Frery, Talita Perciano
2012 J jnl
Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function
CoRR
Talita Perciano, Matthew W. Urban, Nelson D. A. Mascarenhas, Mostafa Fatemi, Alejandro César Frery, Glauber T. Silva
2012 C conf
How to combine TerraSAR-X and Cosmo-SkyMed high-resolution images for a better scene understanding?
IGARSS
Hélène Sportouche, Florence Tupin, Jean-Marie Nicolas, Talita Perciano, Charles-Alban Deledalle
2011 C conf
A hierarchical Markov random field for road network extraction and its application with optical and SAR data.
IGARSS
Talita Perciano, Florence Tupin, Roberto Hirata Jr., Roberto M. Cesar
2010 C conf
Parameter Estimation for Ridge Detection in Images with Thin Structures.
CIARP
Talita Perciano, Roberto Hirata Jr., Lúcio André de Castro Jorge
2010 C conf
Ridge Linking Using an Adaptive Oriented Mask Applied to Plant Root Images with Thin Structures.
CIARP
Talita Perciano, Roberto Hirata Jr., Lúcio André de Castro Jorge
2008 Misc conf
Restoration of vibro-acoustography images.
SAC
Talita Perciano, Nelson D. A. Mascarenhas, Alejandro César Frery, Glauber T. Silva