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ORCIDNina Sumiko Tomita Hirata
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- affiliation: University of Sao Paulo, Brazil
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2020 – today
- 2024
[i8]Sergio Y. Hayashi, Nina S. T. Hirata:
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. CoRR abs/2406.06538 (2024)- 2023
- [j15]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): 45019 (2023) - [j14]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): 230 (2023) - [c54]Cristiano P. Garcia, Weigang Li, Nina S. T. Hirata, Clovis Neumann:
ISUAM: Intelligent and Safe UAM with Deep Reinforcement Learning. ICPADS 2023: 378-383 - 2022
- [c53]Nina S. T. Hirata, Alexandre Morimitsu, Antonio Jose Homsi Goulart:
Separating Particles from Plankton Images. ICPR Workshops (3) 2022: 445-459 - [c52]Sergio Y. Hayashi, Nina S. T. Hirata:
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. ICPR 2022: 1586-1592 - 2021
- [j13]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): 2153-2173 (2021) - [c51]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: 135-161 - [c50]Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea:
Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling. VISIGRAPP (3: IVAPP) 2021: 27-37 - [c49]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: 123-132 - [c48]Leonardo Blanger, Nina S. T. Hirata, Xiaoyi Jiang:
Reducing the need for bounding box annotations in Object Detection using Image Classification data. SIBGRAPI 2021: 199-206 - [i7]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. CoRR abs/2108.04742 (2021) - 2020
- [j12]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): 143-160 (2020) - [j11]Mateus Espadoto, Nina Sumiko Tomita Hirata, Alexandru C. Telea:
Deep learning multidimensional projections. Inf. Vis. 19(3): 247-269 (2020) - [c47]Mateus Espadoto, Nina S. T. Hirata, Alexandre X. Falcão, Alexandru C. Telea:
Improving Neural Network-based Multidimensional Projections. VISIGRAPP (3: IVAPP) 2020: 29-41 - [c46]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: 127-152 - [c45]Augusto César Monteiro Silva, Nina S. T. Hirata, Xiaoyi Jiang:
Skeletal Similarity based Structural Performance Evaluation for Document Binarization. ICFHR 2020: 37-42 - [c44]Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata:
Self-supervised Learning for Astronomical Image Classification. ICPR 2020: 4176-4182 - [c43]Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata:
Deep Learning for Astronomical Object Classification: A Case Study. VISIGRAPP (5: VISAPP) 2020: 87-95 - [i6]Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata:
Self-supervised Learning for Astronomical Image Classification. CoRR abs/2004.11336 (2020)
2010 – 2019
- 2019
- [c42]Leonardo Blanger, Nina S. T. Hirata:
An Evaluation of Deep Learning Techniques for Qr Code Detection. ICIP 2019: 1625-1629 - [c41]Mateus Espadoto, Francisco Caio Maia Rodrigues, Nina S. T. Hirata, Roberto Hirata Jr., Alexandru C. Telea:
Deep Learning Inverse Multidimensional Projections. EuroVA@EuroVis 2019: 13-17 - [i5]Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea:
Deep Learning Multidimensional Projections. CoRR abs/1902.07958 (2019) - [i4]Artur A. M. Oliveira, Nina S. T. Hirata, Roberto Hirata Jr.:
Greenery Segmentation In Urban Images By Deep Learning. CoRR abs/1912.06199 (2019) - 2018
- [c40]Frank D. Julca-Aguilar, Nina S. T. Hirata:
Symbol Detection in Online Handwritten Graphics Using Faster R-CNN. DAS 2018: 151-156 - [c39]Ana Lucia Lima Marreiros Maia, Frank Dennis Julca-Aguilar, Nina Sumiko Tomita Hirata:
A Machine Learning Approach for Graph-Based Page Segmentation. SIBGRAPI 2018: 424-431 - [c38]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: 359-366 - 2017
- [j10]Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.:
Staff removal using image operator learning. Pattern Recognit. 63: 310-320 (2017) - [c37]Frank Dennis Julca-Aguilar, Nina S. T. Hirata:
Image Operator Learning Coupled with CNN Classification and Its Application to Staff Line Removal. ICDAR 2017: 53-58 - [c36]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: 450-455 - [i3]Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata:
A General Framework for the Recognition of Online Handwritten Graphics. CoRR abs/1709.06389 (2017) - [i2]Frank D. Julca-Aguilar, Nina S. T. Hirata:
Image operator learning coupled with CNN classification and its application to staff line removal. CoRR abs/1709.06476 (2017) - [i1]Frank D. Julca-Aguilar, Nina S. T. Hirata:
Symbol detection in online handwritten graphics using Faster R-CNN. CoRR abs/1712.04833 (2017) - 2016
- [c35]Igor dos Santos Montagner, Nina Sumiko Tomita Hirata, Roberto Hirata, Stéphane Canu:
NILC: A two level learning algorithm with operator selection. ICIP 2016: 1873-1877 - [c34]Nina S. T. Hirata, Igor dos Santos Montagner, Roberto Hirata Jr.:
Comics image processing: learning to segment text. MANPU@ICPR 2016: 11:1-11:6 - [c33]Nina S. T. Hirata, Mariela Atausinchi Fernandez, Rubens M. Lopes:
Plankton Image Classification Based on Multiple Segmentations. CVAUI@ICPR 2016: 55-60 - [c32]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: 3446-3451 - [c31]Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.:
Image Operator Learning and Applications. SIBGRAPI Tutorials 2016: 38-50 - [c30]Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata, Stéphane Canu:
Kernel Approximations for W-Operator Learning. SIBGRAPI 2016: 386-393 - 2015
- [j9]Nina S. T. Hirata, Frank D. Julca-Aguilar:
Matching based ground-truth annotation for online handwritten mathematical expressions. Pattern Recognit. 48(3): 837-848 (2015) - [c29]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: 444-451 - [c28]Marta M. Dornelles, Nina S. T. Hirata:
Selection of Windows for W-Operator Combination from Entropy Based Ranking. SIBGRAPI 2015: 64-71 - [c27]Mariela Atausinchi Fernandez, Rubens M. Lopes, Nina S. T. Hirata:
Image Segmentation Assessment from the Perspective of a Higher Level Task. SIBGRAPI 2015: 111-118 - 2014
- [c26]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: 251-259 - [c25]Frank D. Julca-Aguilar, Nina S. T. Hirata, Christian Viard-Gaudin, Harold Mouchère, Sofiane Medjkoune:
Mathematical Symbol Hypothesis Recognition with Rejection Option. ICFHR 2014: 500-505 - [c24]Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata:
Learning to remove staff lines from music score images. ICIP 2014: 2614-2618 - [c23]Bruno Klava, Nina S. T. Hirata:
A model for simulating user interaction in hierarchical segmentation. ICIP 2014: 4358-4362 - [c22]Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata:
A Machine Learning Based Method for Staff Removal. ICPR 2014: 3162-3167 - 2013
- [j8]Luiz Belussi, Nina S. T. Hirata:
Fast Component-Based QR Code Detection in Arbitrarily Acquired Images. J. Math. Imaging Vis. 45(3): 277-292 (2013) - 2012
- [c21]Frank D. Julca-Aguilar, Nina S. T. Hirata:
ExpressMatch: A System for Creating Ground-Truthed Datasets of Online Mathematical Expressions. Document Analysis Systems 2012: 155-159 - [c20]Marta M. Dornelles, Nina S. T. Hirata:
A genetic algorithm based approach for combining binary image operators. ICPR 2012: 3184-3187 - 2011
- [c19]Nina S. T. Hirata, Willian Y. Honda:
Automatic Labeling of Handwritten Mathematical Symbols via Expression Matching. GbRPR 2011: 295-304 - [c18]Luiz Belussi, Nina S. T. Hirata:
Fast QR Code Detection in Arbitrarily Acquired Images. SIBGRAPI 2011: 281-288 - 2010
- [j7]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): 297-306 (2010)
2000 – 2009
- 2009
- [j6]Nina S. T. Hirata:
Multilevel Training of Binary Morphological Operators. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 707-720 (2009) - [c17]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: 1-4 - [c16]Nina S. T. Hirata, Marta M. Dornelles:
The Use of High Resolution Images in Morphological Operator Learning. SIBGRAPI 2009: 141-148 - [c15]Bruno Klava, Nina S. T. Hirata:
Interactive Image Segmentation with Integrated use of the Markers and the Hierarchical Watershed Approaches. VISAPP (1) 2009: 186-193 - 2007
- [j5]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): 453-462 (2007) - [c14]Nina S. T. Hirata:
Document Processing via Trained Morphological Operators. ICDAR 2007: 794-798 - [c13]Nina S. T. Hirata, Roberto Hirata Jr., Junior Barrera:
Basis Computation Algorithms. ISMM (1) 2007: 15-26 - [c12]Bruno Klava, Nina Sumiko Tomita Hirata:
Watershed segmentation: Switching back and forth between markers and hierarchies. ISMM (2) 2007: 29-30 - [c11]Carlos S. Santos, Nina S. T. Hirata, Roberto Hirata Jr.:
Two-stage Binary Image Operator Design: an Approach Based on Interaction Information. SIBGRAPI 2007: 53-60 - 2005
- [j4]Nina S. T. Hirata, Junior Barrera:
A unifying view for stack filter design based on graph search methods. Pattern Recognit. 38(11): 2088-2098 (2005) - [c10]Nina S. T. Hirata:
Binary Image Operator Design Based on Stacked Generalization. SIBGRAPI 2005: 63-70 - 2003
- [c9]Nina S. T. Hirata:
Order statistic filters: minimal collection of minimum weight vectors. ICIP (1) 2003: 897-900 - [c8]Nina S. T. Hirata, Roberto Hirata Jr.:
Design of Order Statistic Filters from Examples. SIBGRAPI 2003: 222-229 - 2002
- [c7]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: 386-395 - 2001
- [c6]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: 59-66 - 2000
- [j3]Junior Barrera, Routo Terada, Roberto Hirata Jr., Nina S. T. Hirata:
Automatic Programming of Morphological Machines by PAC Learning. Fundam. Informaticae 41(1-2): 229-258 (2000) - [j2]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): 1059-1081 (2000) - [c5]Nina S. T. Hirata, Junior Barrera, Routo Terada:
Text Segmentation by Automatically Designed Morphological Operators. SIBGRAPI 2000: 284-291
1990 – 1999
- 1999
- [c4]Nina Sumiko Tomita Hirata, Edward R. Dougherty, Junior Barrera:
Efficient switching algorithm for designing increasing binary filters. Electronic Imaging: Nonlinear Image Processing 1999 - [c3]Nina S. T. Hirata, Junior Barrera, Edward R. Dougherty:
Design of Statistically Optimal Stack Filters. SIBGRAPI 1999: 265-274 - [c2]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: 293-302 - 1997
- [j1]Junior Barrera, Edward R. Dougherty, Nina Sumiko Tomita:
Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory. J. Electronic Imaging 6(1): 54-67 (1997) - 1996
- [c1]Junior Barrera, Routo Terada, Flávio Soares Corrêa da Silva, Nina Sumiko Tomita:
Automatic Programming of MMach's for OCR. ISMM 1996: 385-392
Coauthor Index
aka: Roberto Hirata
aka: Frank Dennis Julca-Aguilar
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