Daniel Rodrigues Pipa

According to our database, Daniel Rodrigues Pipa authored at least 24 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Millimeter-Scale Leak Detection Using Distributed Acoustic and Temperature Gradient Sensing.

Guilherme H. Weber, Danilo F. Gomes, Eduardo Nunes dos Santos, Ana L. B. Santana, Jean Carlos Cardozo da Silva, Cicero Martelli, Daniel R. Pipa, Rigoberto E. M. Morales, Sérgio T. C. Júnior, Manoel F. da Silva Junior, Marco José da Silva

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022

Effects of Thermal Gradients in High-Temperature Ultrasonic Non-Destructive Tests.

Juliano Scholz Slongo, Jefferson Gund, Thiago Alberto Rigo Passarin, Daniel Rodrigues Pipa, Julio Endress Ramos, Lúcia Valéria Ramos de Arruda, Flávio Neves Junior

Sensors, 2022

2021

Wire-Mesh Sensor Super-Resolution Based on Statistical Reconstruction.

Felipe de Assis Dias, Daniel R. Pipa, Rigoberto E. M. Morales, Marco José da Silva

IEEE Trans. Instrum. Meas., 2021

2020

Multichannel Capacitive Imaging of Gas Vortex in Swirling Two-Phase Flows Using Parametric Reconstruction.

Muhammad Awais Sattar, Aluisio Do Nascimento Wrasse, Rigoberto E. M. Morales, Daniel Rodrigues Pipa, Robert Banasiak, Marco José da Silva, Laurent Babout

IEEE Access, 2020

2019

Intelligent 3D Perception System for Semantic Description and Dynamic Interaction.

Marco Antonio Simoes Teixeira, Rafael de Castro Martins Nogueira, Nicolas Dalmedico, Higor Barbosa Santos, Lúcia Valéria Ramos de Arruda, Flávio Neves Jr., Daniel Rodrigues Pipa, Julio Endress Ramos, André Schneider de Oliveira

Sensors, 2019

Sliding Window Mapping for Omnidirectional RGB-D Sensors.

Nicolas Dalmedico, Marco Antônio Simões Teixeira, Higor Barbosa Santos, Rafael de Castro Martins Nogueira, Lúcia Valéria Ramos de Arruda, Flávio Neves, Daniel Rodrigues Pipa, Julio Endress Ramos, André Schneider de Oliveira

Sensors, 2019

GPU-accelerated Simulator for Optical Tomography applied to Two-Phase Flows.

Rafael S. Bernardelli, Eduardo Nunes dos Santos, Rigoberto E. M. Morales, Daniel R. Pipa, Marco José da Silva

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

2018

Sparse Ultrasound Imaging via Manifold Low-Rank Approximation and Non-Convex Greedy Pursuit.

Thiago Alberto Rigo Passarin, Marcelo Victor Wüst Zibetti, Daniel Rodrigues Pipa

Sensors, 2018

Twin Direct-Imaging Sensor for Flow Velocity Profiling in Two-Phase Mixtures.

Luis F. S. Botton, Hector L. de Moura, Aluisio Do Nascimento Wrasse, Daniel R. Pipa, Rigoberto E. M. Morales, Marco José da Silva

Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

2017

Accelerating Overrelaxed and Monotone Fast Iterative Shrinkage-Thresholding Algorithms With Line Search for Sparse Reconstructions.

Marcelo Victor Wüst Zibetti, Elias S. Helou, Daniel R. Pipa

IEEE Trans. Image Process., 2017

An Assessment of Iterative Reconstruction Methods for Sparse Ultrasound Imaging.

Solivan A. Valente, Marcelo Victor Wüst Zibetti, Daniel R. Pipa, Joaquim Miguel Maia, Fabio Kurt Schneider

Sensors, 2017

Bubble Shape Identification and Calculation in Gas-Liquid Slug Flow Using Semi-automatic Image Segmentation.

Mauren Louise Sguario C. Andrade, Lúcia Valéria Ramos de Arruda, Eduardo Nunes dos Santos, Daniel Rodrigues Pipa

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Adaptive time corrected gain for ultrasound through time-varying Wiener deconvolution.

Daniel R. Pipa, Giovanni Alfredo Guarneri, Hector L. de Moura

Proceedings of the 25th European Signal Processing Conference, 2017

A minimax dictionary expansion for sparse continuous reconstruction.

Thiago Alberto Rigo Passarin, Daniel R. Pipa, Marcelo Victor Wüst Zibetti

Proceedings of the 25th European Signal Processing Conference, 2017

A blind deconvolution approach to discontinuity location and characterization in ultrasonic nondestructive testing.

Giovanni Alfredo Guarneri, Daniel R. Pipa, Flávio Neves, Lúcia Valéria Ramos de Arruda

Proceedings of the 25th European Signal Processing Conference, 2017

Joint subsample time delay and echo template estimations for ultrasound signals.

Emesto Willams Molina Antelo, Daniel Rodrigues Pipa

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring.

João Paulo Bazzo, Daniel Rodrigues Pipa, Erlon Vagner da Silva, Cicero Martelli, Jean Carlos Cardozo da Silva

Sensors, 2016

Fast and exact unidimensional L2-L1 optimization as an accelerator for iterative reconstruction algorithms.

Marcelo Victor Wüst Zibetti, Daniel R. Pipa, Alvaro R. De Pierro

Digit. Signal Process., 2016

2015

A Sparse Reconstruction Algorithm for Ultrasonic Images in Nondestructive Testing.

Giovanni Alfredo Guarneri, Daniel Rodrigues Pipa, Flávio Neves Junior, Lúcia Valéria Ramos de Arruda, Marcelo Victor Wüst Zibetti

Sensors, 2015

2012

Recursive Algorithms for Bias and Gain Nonuniformity Correction in Infrared Videos.

Daniel R. Pipa, Eduardo A. B. da Silva, Carla L. Pagliari, Paulo S. R. Diniz

IEEE Trans. Image Process., 2012

Development of an Autonomous Robot for Gas Storage Spheres Inspection.

Jun Okamoto Jr., Valdir Grassi Jr., Paulo Faria Santos Amaral, Benedito Geraldo Miglio Pinto, Daniel R. Pipa, Gustavo Pinto Pires, Marcus Vinicius Maciel Martins

J. Intell. Robotic Syst., 2012

Directional decomposition based total variation image restoration.

Daniel R. Pipa, Stanley H. Chan, Truong Q. Nguyen

Proceedings of the 20th European Signal Processing Conference, 2012

2010

Flexible Riser Monitoring Using Hybrid Magnetic/Optical Strain Gage Techniques through RLS Adaptive Filtering.

Daniel R. Pipa, Sérgio Morikawa, Gustavo Pinto Pires, Cláudio Camerini, João Márcio Santos

EURASIP J. Adv. Signal Process., 2010

2009

Joint bias and gain nonuniformity correction of infrared videos using tensorial-RLS technique.

Daniel R. Pipa, Eduardo A. B. da Silva, Carla L. Pagliari, Marcelo M. Perez

Proceedings of the International Conference on Image Processing, 2009