Nina S. T. Hirata

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 39

Top Topics

Top Venues

VISIGRAPP (3: IVAPP)

Publications

Sergio Y. Hayashi, Nina S. T. Hirata
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. CoRR (2024)
Natália V. N. Rodrigues, L. Raul Abramo, Nina S. T. Hirata
The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Mach. Learn. Sci. Technol. 4 (4) (2023)
Cristiano P. Garcia, Weigang Li, Nina S. T. Hirata, Clovis Neumann
ISUAM: Intelligent and Safe UAM with Deep Reinforcement Learning. ICPADS (2023)
Mateus Espadoto, Francisco Caio M. Rodrigues, Nina S. T. Hirata, Alexandru C. Telea
Visualizing High-Dimensional Functions with Dense Maps. SN Comput. Sci. 4 (3) (2023)
Sergio Y. Hayashi, Nina S. T. Hirata
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. ICPR (2022)
Nina S. T. Hirata, Alexandre Morimitsu, Antonio Jose Homsi Goulart
Separating Particles from Plankton Images. ICPR Workshops (3) (2022)
Leonardo Blanger, Nina S. T. Hirata, Xiaoyi Jiang
Reducing the need for bounding box annotations in Object Detection using Image Classification data. SIBGRAPI (2021)
Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea
Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling. VISIGRAPP (3: IVAPP) (2021)
Mateus Espadoto, Rafael Messias Martins, Andreas Kerren, Nina S. T. Hirata, Alexandru C. Telea
Toward a Quantitative Survey of Dimension Reduction Techniques. IEEE Trans. Vis. Comput. Graph. 27 (3) (2021)
Mateus Espadoto, Francisco Caio M. Rodrigues, Nina S. T. Hirata, Alexandru C. Telea
OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems. VISIGRAPP (3: IVAPP) (2021)
Artur André Almeida de Macedo Oliveira, Mateus Espadoto, Roberto Hirata, Nina S. T. Hirata, Alexandru C. Telea
Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-Labeling Strategies. VISIGRAPP (Revised Selected Papers) (2021)
Mateus Espadoto, Nina S. T. Hirata, Alexandre X. Falcão, Alexandru C. Telea
Improving Neural Network-based Multidimensional Projections. VISIGRAPP (3: IVAPP) (2020)
Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata
Self-supervised Learning for Astronomical Image Classification. ICPR (2020)
Augusto César Monteiro Silva, Nina S. T. Hirata, Xiaoyi Jiang
Skeletal Similarity based Structural Performance Evaluation for Document Binarization. ICFHR (2020)
Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata
Self-supervised Learning for Astronomical Image Classification. CoRR (2020)
Terri S. Modrakowski, Mateus Espadoto, Alexandre X. Falcão, Nina S. T. Hirata, Alexandru C. Telea
Improving Deep Learning Projections by Neighborhood Analysis. VISIGRAPP (Revised Selected Papers) (2020)
Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata
Deep Learning for Astronomical Object Classification: A Case Study. VISIGRAPP (5: VISAPP) (2020)
Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata
A general framework for the recognition of online handwritten graphics. Int. J. Document Anal. Recognit. 23 (2) (2020)
Artur A. M. Oliveira, Nina S. T. Hirata, Roberto Hirata Jr.
Greenery Segmentation In Urban Images By Deep Learning. CoRR (2019)
Leonardo Blanger, Nina S. T. Hirata
An Evaluation of Deep Learning Techniques for Qr Code Detection. ICIP (2019)
Mateus Espadoto, Francisco Caio Maia Rodrigues, Nina S. T. Hirata, Roberto Hirata Jr., Alexandru C. Telea
Deep Learning Inverse Multidimensional Projections. EuroVA@EuroVis (2019)
Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea
Deep Learning Multidimensional Projections. CoRR (2019)
Francisco Caio Maia Rodrigues, Nina S. T. Hirata, Antonio A. Abello, Leandro T. De La Cruz, Rubens M. Lopes, Roberto Hirata Jr.
Evaluation of Transfer Learning Scenarios in Plankton Image Classification. VISIGRAPP (5: VISAPP) (2018)
Frank D. Julca-Aguilar, Nina S. T. Hirata
Symbol Detection in Online Handwritten Graphics Using Faster R-CNN. DAS (2018)
Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.
Staff removal using image operator learning. Pattern Recognit. 63 (2017)
Frank D. Julca-Aguilar, Nina S. T. Hirata
Symbol detection in online handwritten graphics using Faster R-CNN. CoRR (2017)
Frank D. Julca-Aguilar, Ana L. L. M. Maia, Nina S. T. Hirata
Text/Non-Text Classification of Connected Components in Document Images. SIBGRAPI (2017)
Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata
A General Framework for the Recognition of Online Handwritten Graphics. CoRR (2017)
Frank Dennis Julca-Aguilar, Nina S. T. Hirata
Image Operator Learning Coupled with CNN Classification and Its Application to Staff Line Removal. ICDAR (2017)
Frank D. Julca-Aguilar, Nina S. T. Hirata
Image operator learning coupled with CNN classification and its application to staff line removal. CoRR (2017)
Frank D. Julca-Aguilar, Nina S. T. Hirata, Harold Mouchère, Christian Viard-Gaudin
Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions. ICPR (2016)
Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata, Stéphane Canu
Kernel Approximations for W-Operator Learning. SIBGRAPI (2016)
Nina S. T. Hirata, Mariela Atausinchi Fernandez, Rubens M. Lopes
Plankton Image Classification Based on Multiple Segmentations. CVAUI@ICPR (2016)
Nina S. T. Hirata, Igor dos Santos Montagner, Roberto Hirata Jr.
Comics image processing: learning to segment text. MANPU@ICPR (2016)
Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.
Image Operator Learning and Applications. SIBGRAPI Tutorials (2016)
Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata
Top-Down Online Handwritten Mathematical Expression Parsing with Graph Grammar. CIARP (2015)
Nina S. T. Hirata, Frank D. Julca-Aguilar
Matching based ground-truth annotation for online handwritten mathematical expressions. Pattern Recognit. 48 (3) (2015)
Marta M. Dornelles, Nina S. T. Hirata
Selection of Windows for W-Operator Combination from Entropy Based Ranking. SIBGRAPI (2015)
Mariela Atausinchi Fernandez, Rubens M. Lopes, Nina S. T. Hirata
Image Segmentation Assessment from the Perspective of a Higher Level Task. SIBGRAPI (2015)
Frank D. Julca-Aguilar, Nina S. T. Hirata, Christian Viard-Gaudin, Harold Mouchère, Sofiane Medjkoune
Mathematical Symbol Hypothesis Recognition with Rejection Option. ICFHR (2014)
Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata
Learning to remove staff lines from music score images. ICIP (2014)
Frank D. Julca-Aguilar, Christian Viard-Gaudin, Harold Mouchère, Sofiane Medjkoune, Nina S. T. Hirata
Integration of Shape Context and Neural Networks for Symbol Recognition. CORIA-CIFED (2014)
Bruno Klava, Nina S. T. Hirata
A model for simulating user interaction in hierarchical segmentation. ICIP (2014)
Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata
A Machine Learning Based Method for Staff Removal. ICPR (2014)
Luiz Belussi, Nina S. T. Hirata
Fast Component-Based QR Code Detection in Arbitrarily Acquired Images. J. Math. Imaging Vis. 45 (3) (2013)
Marta M. Dornelles, Nina S. T. Hirata
A genetic algorithm based approach for combining binary image operators. ICPR (2012)
Frank D. Julca-Aguilar, Nina S. T. Hirata
ExpressMatch: A System for Creating Ground-Truthed Datasets of Online Mathematical Expressions. Document Analysis Systems (2012)
Nina S. T. Hirata, Willian Y. Honda
Automatic Labeling of Handwritten Mathematical Symbols via Expression Matching. GbRPR (2011)
Luiz Belussi, Nina S. T. Hirata
Fast QR Code Detection in Arbitrarily Acquired Images. SIBGRAPI (2011)
Carlos S. Santos, Nina S. T. Hirata, Roberto Hirata Jr.
An Information Theory framework for two-stage binary image operator design. Pattern Recognit. Lett. 31 (4) (2010)
Bruno Klava, Nina S. T. Hirata
Interactive Image Segmentation with Integrated use of the Markers and the Hierarchical Watershed Approaches. VISAPP (1) (2009)
Nina S. T. Hirata
Multilevel Training of Binary Morphological Operators. IEEE Trans. Pattern Anal. Mach. Intell. 31 (4) (2009)
Carlos H. A. Higa, Ronaldo Fumio Hashimoto, Roberto Hirata Jr., Nina S. T. Hirata, Carlos S. Santos
Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains. GENSiPS (2009)
Nina S. T. Hirata, Marta M. Dornelles
The Use of High Resolution Images in Morphological Operator Learning. SIBGRAPI (2009)
Domingos Dellamonica Jr., Paulo J. S. Silva, Carlos Humes Jr., Nina S. T. Hirata, Junior Barrera
An Exact Algorithm for Optimal MAE Stack Filter Design. IEEE Trans. Image Process. 16 (2) (2007)
Carlos S. Santos, Nina S. T. Hirata, Roberto Hirata Jr.
Two-stage Binary Image Operator Design: an Approach Based on Interaction Information. SIBGRAPI (2007)
Nina S. T. Hirata, Roberto Hirata Jr., Junior Barrera
Basis Computation Algorithms. ISMM (1) (2007)
Nina S. T. Hirata
Document Processing via Trained Morphological Operators. ICDAR (2007)
Nina S. T. Hirata, Junior Barrera
A unifying view for stack filter design based on graph search methods. Pattern Recognit. 38 (11) (2005)
Nina S. T. Hirata
Binary Image Operator Design Based on Stacked Generalization. SIBGRAPI (2005)
Nina S. T. Hirata, Roberto Hirata Jr.
Design of Order Statistic Filters from Examples. SIBGRAPI (2003)
Nina S. T. Hirata
Order statistic filters: minimal collection of minimum weight vectors. ICIP (1) (2003)
Martha Torres, Nina S. T. Hirata, Junior Barrera
High-performance algorithm for Boolean function minimization: the partitioned incremental splitting of intervals (PISI). Image Processing: Algorithms and Systems (2002)
Marcel Brun, Junior Barrera, Nina S. T. Hirata, Nestor Walter Trepode, Daniel Oliveira Dantas, Routo Terada
Multi-Resolution Classification Trees in OCR Design. SIBGRAPI (2001)
Nina S. T. Hirata, Edward R. Dougherty, Junior Barrera
A switching algorithm for design of optimal increasing binary filters over large windows. Pattern Recognit. 33 (6) (2000)
Junior Barrera, Routo Terada, Roberto Hirata Jr., Nina S. T. Hirata
Automatic Programming of Morphological Machines by PAC Learning. Fundam. Informaticae 41 (1-2) (2000)
Nina S. T. Hirata, Junior Barrera, Routo Terada
Text Segmentation by Automatically Designed Morphological Operators. SIBGRAPI (2000)
Heraldo Maciel França Madeira, Junior Barrera, Roberto Hirata Jr., Nina S. T. Hirata
A New Paradigm for the Architecture of Morphological Machines: Binary Decision Diagrams. SIBGRAPI (1999)
Nina S. T. Hirata, Junior Barrera, Edward R. Dougherty
Design of Statistically Optimal Stack Filters. SIBGRAPI (1999)