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Trabalho de evento
An evaluation of deep learning techniques for QR code detection (2019)
Blanger, Leonardo; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE PADRÕES
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ABNT
BLANGER, Leonardo e HIRATA, Nina Sumiko Tomita. An evaluation of deep learning techniques for QR code detection. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICIP.2019.8803075. Acesso em: 23 jun. 2024.
APA
Blanger, L., & Hirata, N. S. T. (2019). An evaluation of deep learning techniques for QR code detection. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2019.8803075
NLM
Blanger L, Hirata NST. An evaluation of deep learning techniques for QR code detection [Internet]. Proceedings. 2019 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2019.8803075
Vancouver
Blanger L, Hirata NST. An evaluation of deep learning techniques for QR code detection [Internet]. Proceedings. 2019 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2019.8803075
Trabalho de evento
Relaxed oriented image foresting transform for seeded image segmentation (2019)
Demario, Caio Lopes; Miranda, Paulo André Vechiatto de
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
DEMARIO, Caio Lopes e MIRANDA, Paulo André Vechiatto de. Relaxed oriented image foresting transform for seeded image segmentation. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICIP.2019.8803080. Acesso em: 23 jun. 2024.
APA
Demario, C. L., & Miranda, P. A. V. de. (2019). Relaxed oriented image foresting transform for seeded image segmentation. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2019.8803080
NLM
Demario CL, Miranda PAV de. Relaxed oriented image foresting transform for seeded image segmentation [Internet]. Proceedings. 2019 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2019.8803080
Vancouver
Demario CL, Miranda PAV de. Relaxed oriented image foresting transform for seeded image segmentation [Internet]. Proceedings. 2019 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2019.8803080
Trabalho de evento
A general and balanced region-based metric for evaluating medical image segmentation algorithms (2019)
Cappabianco, Fabio A. M ; Ribeiro, Pedro F. O; Miranda, Paulo André Vechiatto de ; Udupa, Jayaram K
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
CAPPABIANCO, Fabio A. M et al. A general and balanced region-based metric for evaluating medical image segmentation algorithms. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICIP.2019.8803083. Acesso em: 23 jun. 2024.
APA
Cappabianco, F. A. M., Ribeiro, P. F. O., Miranda, P. A. V. de, & Udupa, J. K. (2019). A general and balanced region-based metric for evaluating medical image segmentation algorithms. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2019.8803083
NLM
Cappabianco FAM, Ribeiro PFO, Miranda PAV de, Udupa JK. A general and balanced region-based metric for evaluating medical image segmentation algorithms [Internet]. Proceedings. 2019 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2019.8803083
Vancouver
Cappabianco FAM, Ribeiro PFO, Miranda PAV de, Udupa JK. A general and balanced region-based metric for evaluating medical image segmentation algorithms [Internet]. Proceedings. 2019 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2019.8803083
Trabalho de evento
Oriented image foresting transform segmentation with connectivity constraints (2016)
Mansilla, Lucy Alsina Choque; Miranda, Paulo André Vechiatto de ; Cappabianco, Fabio Augusto Menocci
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS, VISÃO COMPUTACIONAL
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ABNT
MANSILLA, Lucy Alsina Choque e MIRANDA, Paulo André Vechiatto de e CAPPABIANCO, Fabio Augusto Menocci. Oriented image foresting transform segmentation with connectivity constraints. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICIP.2016.7532820. Acesso em: 23 jun. 2024.
APA
Mansilla, L. A. C., Miranda, P. A. V. de, & Cappabianco, F. A. M. (2016). Oriented image foresting transform segmentation with connectivity constraints. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2016.7532820
NLM
Mansilla LAC, Miranda PAV de, Cappabianco FAM. Oriented image foresting transform segmentation with connectivity constraints [Internet]. Proceedings. 2016 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2016.7532820
Vancouver
Mansilla LAC, Miranda PAV de, Cappabianco FAM. Oriented image foresting transform segmentation with connectivity constraints [Internet]. Proceedings. 2016 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2016.7532820
Trabalho de evento
Efficient incremental computation of attributes based on locally countable patterns in component trees (2016)
Silva, Dennis J; Alves, Wonder Alexandre Luz; Morimitsu, Alexandre; Hashimoto, Ronaldo Fumio
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS, ANÁLISE DE ALGORITMOS
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ABNT
SILVA, Dennis J et al. Efficient incremental computation of attributes based on locally countable patterns in component trees. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/icip.2016.7533058. Acesso em: 23 jun. 2024.
APA
Silva, D. J., Alves, W. A. L., Morimitsu, A., & Hashimoto, R. F. (2016). Efficient incremental computation of attributes based on locally countable patterns in component trees. In Proceedings. Piscataway: IEEE. doi:10.1109/icip.2016.7533058
NLM
Silva DJ, Alves WAL, Morimitsu A, Hashimoto RF. Efficient incremental computation of attributes based on locally countable patterns in component trees [Internet]. Proceedings. 2016 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/icip.2016.7533058
Vancouver
Silva DJ, Alves WAL, Morimitsu A, Hashimoto RF. Efficient incremental computation of attributes based on locally countable patterns in component trees [Internet]. Proceedings. 2016 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/icip.2016.7533058
Trabalho de evento
Image segmentation by image foresting transform with geodesic band constraints (2014)
Braz, Caio de Moraes; Miranda, Paulo André Vechiatto de
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA
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ABNT
BRAZ, Caio de Moraes e MIRANDA, Paulo André Vechiatto de. Image segmentation by image foresting transform with geodesic band constraints. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/ICIP.2014.7025880. Acesso em: 23 jun. 2024.
APA
Braz, C. de M., & Miranda, P. A. V. de. (2014). Image segmentation by image foresting transform with geodesic band constraints. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICIP.2014.7025880
NLM
Braz C de M, Miranda PAV de. Image segmentation by image foresting transform with geodesic band constraints [Internet]. Proceedings. 2014 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2014.7025880
Vancouver
Braz C de M, Miranda PAV de. Image segmentation by image foresting transform with geodesic band constraints [Internet]. Proceedings. 2014 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2014.7025880
Trabalho de evento
A model for simulating user interaction in hierarchical segmentation (2014)
Klava, Bruno; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: ALGORITMOS PARA IMAGENS, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL
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ABNT
KLAVA, Bruno e HIRATA, Nina Sumiko Tomita. A model for simulating user interaction in hierarchical segmentation. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/ICIP.2014.7025885. Acesso em: 23 jun. 2024.
APA
Klava, B., & Hirata, N. S. T. (2014). A model for simulating user interaction in hierarchical segmentation. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICIP.2014.7025885
NLM
Klava B, Hirata NST. A model for simulating user interaction in hierarchical segmentation [Internet]. Proceedings. 2014 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2014.7025885
Vancouver
Klava B, Hirata NST. A model for simulating user interaction in hierarchical segmentation [Internet]. Proceedings. 2014 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2014.7025885
Trabalho de evento
Ultimate grain filter (2014)
Alves, Wonder Alexandre Luz; Hashimoto, Ronaldo Fumio
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Wonder Alexandre Luz e HASHIMOTO, Ronaldo Fumio. Ultimate grain filter. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/ICIP.2014.7025597. Acesso em: 23 jun. 2024.
APA
Alves, W. A. L., & Hashimoto, R. F. (2014). Ultimate grain filter. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICIP.2014.7025597
NLM
Alves WAL, Hashimoto RF. Ultimate grain filter [Internet]. Proceedings. 2014 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2014.7025597
Vancouver
Alves WAL, Hashimoto RF. Ultimate grain filter [Internet]. Proceedings. 2014 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2014.7025597
Trabalho de evento
Learning to remove staff lines from music score images (2014)
Montagner, Igor dos Santos; Hirata Júnior, Roberto ; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: COMPUTAÇÃO MUSICAL, RECONHECIMENTO DE CARACTERES ACÚSTICOS, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL
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ABNT
MONTAGNER, Igor dos Santos e HIRATA JÚNIOR, Roberto e HIRATA, Nina Sumiko Tomita. Learning to remove staff lines from music score images. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/ICIP.2014.7025529. Acesso em: 23 jun. 2024.
APA
Montagner, I. dos S., Hirata Júnior, R., & Hirata, N. S. T. (2014). Learning to remove staff lines from music score images. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICIP.2014.7025529
NLM
Montagner I dos S, Hirata Júnior R, Hirata NST. Learning to remove staff lines from music score images [Internet]. Proceedings. 2014 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2014.7025529
Vancouver
Montagner I dos S, Hirata Júnior R, Hirata NST. Learning to remove staff lines from music score images [Internet]. Proceedings. 2014 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2014.7025529
Trabalho de evento
A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images (2013)
Miranda, Paulo André Vechiatto de ; Cappabianco, Fabio A. M ; Ide, Jaime Shinsuke
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA
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ABNT
MIRANDA, Paulo André Vechiatto de e CAPPABIANCO, Fabio A. M e IDE, Jaime Shinsuke. A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/ICIP.2013.6738139. Acesso em: 23 jun. 2024.
APA
Miranda, P. A. V. de, Cappabianco, F. A. M., & Ide, J. S. (2013). A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2013.6738139
NLM
Miranda PAV de, Cappabianco FAM, Ide JS. A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images [Internet]. Proceedings. 2013 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2013.6738139
Vancouver
Miranda PAV de, Cappabianco FAM, Ide JS. A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images [Internet]. Proceedings. 2013 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2013.6738139
Trabalho de evento
Image foresting transform with geodesic star convexity for interactive image segmentation (2013)
Mansilla, Lucy Alsina Choque ; Jackowski, Marcel Parolin ; Miranda, Paulo André Vechiatto de
Source: Proceedings. Conference titles: IEEE International Conference on Image Processing - ICIP. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, DIAGNÓSTICO POR IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MANSILLA, Lucy Alsina Choque e JACKOWSKI, Marcel Parolin e MIRANDA, Paulo André Vechiatto de. Image foresting transform with geodesic star convexity for interactive image segmentation. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/ICIP.2013.6738835. Acesso em: 23 jun. 2024.
APA
Mansilla, L. A. C., Jackowski, M. P., & Miranda, P. A. V. de. (2013). Image foresting transform with geodesic star convexity for interactive image segmentation. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2013.6738835
NLM
Mansilla LAC, Jackowski MP, Miranda PAV de. Image foresting transform with geodesic star convexity for interactive image segmentation [Internet]. Proceedings. 2013 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2013.6738835
Vancouver
Mansilla LAC, Jackowski MP, Miranda PAV de. Image foresting transform with geodesic star convexity for interactive image segmentation [Internet]. Proceedings. 2013 ;[citado 2024 jun. 23 ] Available from: https://doi.org/10.1109/ICIP.2013.6738835

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