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Trabalho de evento
Improving U-Net with attention mechanism for medical image segmentation applications (2025)
Honorato, Eduardo Sperle ; Uchida, Mariana Aya Suzuki ; Traina, Agma Juci Machado ; Wolf, Denis Fernando
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS, DIAGNÓSTICO POR IMAGEM
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ABNT
HONORATO, Eduardo Sperle et al. Improving U-Net with attention mechanism for medical image segmentation applications. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00060. Acesso em: 08 dez. 2025.
APA
Honorato, E. S., Uchida, M. A. S., Traina, A. J. M., & Wolf, D. F. (2025). Improving U-Net with attention mechanism for medical image segmentation applications. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00060
NLM
Honorato ES, Uchida MAS, Traina AJM, Wolf DF. Improving U-Net with attention mechanism for medical image segmentation applications [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00060
Vancouver
Honorato ES, Uchida MAS, Traina AJM, Wolf DF. Improving U-Net with attention mechanism for medical image segmentation applications [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00060
Artigo de periodico
Integrating machine learning and data augmentation for automated texture classification in borehole image logs (2025)
Souza, André Moreira ; Cruz, Matheus Altomare ; Braga, Paola M. C; Piva, Rodrigo B ; Dias, Rodrigo A. C ; Siqueira, Paulo R; Trevizan, Willian A; Jesus, Candida M. de; Bazzarella, Camilla ; Monteiro, Rodrigo Salvador ; Bernardini, Flávia Cristina ; Fernandes, Leandro Augusto Frata ; Sousa, Elaine Parros Machado de ; Cazzolato, Mirela Teixeira ; Oliveira, Daniel de ; Bedo, Marcos Vinicius Naves
Source: Proceedings. Conference titles: SPWLA Annual Logging Symposium. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VISÃO COMPUTACIONAL, GEOLOGIA DO PETRÓLEO
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ABNT
SOUZA, André Moreira et al. Integrating machine learning and data augmentation for automated texture classification in borehole image logs. Proceedings, 2025Tradução . . Disponível em: https://doi.org/10.30632/SPWLA-2025-0109. Acesso em: 08 dez. 2025.
APA
Souza, A. M., Cruz, M. A., Braga, P. M. C., Piva, R. B., Dias, R. A. C., Siqueira, P. R., et al. (2025). Integrating machine learning and data augmentation for automated texture classification in borehole image logs. Proceedings. doi:10.30632/SPWLA-2025-0109
NLM
Souza AM, Cruz MA, Braga PMC, Piva RB, Dias RAC, Siqueira PR, Trevizan WA, Jesus CM de, Bazzarella C, Monteiro RS, Bernardini FC, Fernandes LAF, Sousa EPM de, Cazzolato MT, Oliveira D de, Bedo MVN. Integrating machine learning and data augmentation for automated texture classification in borehole image logs [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.30632/SPWLA-2025-0109
Vancouver
Souza AM, Cruz MA, Braga PMC, Piva RB, Dias RAC, Siqueira PR, Trevizan WA, Jesus CM de, Bazzarella C, Monteiro RS, Bernardini FC, Fernandes LAF, Sousa EPM de, Cazzolato MT, Oliveira D de, Bedo MVN. Integrating machine learning and data augmentation for automated texture classification in borehole image logs [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.30632/SPWLA-2025-0109
Trabalho de evento
DPFlow: adaptive optical flow estimation with a dual-pyramid framework (2025)
Morimitsu, Henrique ; Zhu, Xiaobin ; César Júnior, Roberto Marcondes ; Ji, Xiangyang ; Yin, Xu-Cheng
Source: Proceedings. Conference titles: IEEE/CVF Conference on Computer Vision and Pattern Recognition - CVPR. Unidade: IME
Subjects: PROCESSAMENTO DE SINAIS DE VÍDEO, EDIÇÃO DE VÍDEO, PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL
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ABNT
MORIMITSU, Henrique et al. DPFlow: adaptive optical flow estimation with a dual-pyramid framework. 2025, Anais.. Piscataway: IEEE, 2025. p. 17810-17820. Disponível em: https://doi.org/10.1109/CVPR52734.2025.01659. Acesso em: 08 dez. 2025.
APA
Morimitsu, H., Zhu, X., César Júnior, R. M., Ji, X., & Yin, X. -C. (2025). DPFlow: adaptive optical flow estimation with a dual-pyramid framework. In Proceedings (p. 17810-17820). Piscataway: IEEE. doi:10.1109/CVPR52734.2025.01659
NLM
Morimitsu H, Zhu X, César Júnior RM, Ji X, Yin X-C. DPFlow: adaptive optical flow estimation with a dual-pyramid framework [Internet]. Proceedings. 2025 ; 17810-17820.[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/CVPR52734.2025.01659
Vancouver
Morimitsu H, Zhu X, César Júnior RM, Ji X, Yin X-C. DPFlow: adaptive optical flow estimation with a dual-pyramid framework [Internet]. Proceedings. 2025 ; 17810-17820.[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/CVPR52734.2025.01659
Trabalho de evento
Robotic visual attention architecture for ADAS in critical embedded systems for smart vehicles (2025)
Bruno, Diego Renan ; Martins, William D’Abruzzo ; Berri, Rafael Alceste ; Osório, Fernando Santos
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, VEÍCULOS AUTÔNOMOS, APRENDIZADO COMPUTACIONAL
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ABNT
BRUNO, Diego Renan et al. Robotic visual attention architecture for ADAS in critical embedded systems for smart vehicles. 2025, Anais.. Setúbal: SCITEPRESS, 2025. Disponível em: https://doi.org/10.5220/0013362600003912. Acesso em: 08 dez. 2025.
APA
Bruno, D. R., Martins, W. D. ’A., Berri, R. A., & Osório, F. S. (2025). Robotic visual attention architecture for ADAS in critical embedded systems for smart vehicles. In Proceedings. Setúbal: SCITEPRESS. doi:10.5220/0013362600003912
NLM
Bruno DR, Martins WD’A, Berri RA, Osório FS. Robotic visual attention architecture for ADAS in critical embedded systems for smart vehicles [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.5220/0013362600003912
Vancouver
Bruno DR, Martins WD’A, Berri RA, Osório FS. Robotic visual attention architecture for ADAS in critical embedded systems for smart vehicles [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.5220/0013362600003912
Trabalho de evento
Adapting synthetic eyes: a study of pixel and feature-level UDA for traffic object detection (2025)
Medeiros, André N; Silva, Renato Moraes ; Almeida, Jurandy ; Almeida, Tiago Agostinho de
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM
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ABNT
MEDEIROS, André N et al. Adapting synthetic eyes: a study of pixel and feature-level UDA for traffic object detection. 2025, Anais.. Piscataway: IEEE, 2025. Disponível em: https://doi.org/10.1109/SIBGRAPI67909.2025.11223280. Acesso em: 08 dez. 2025.
APA
Medeiros, A. N., Silva, R. M., Almeida, J., & Almeida, T. A. de. (2025). Adapting synthetic eyes: a study of pixel and feature-level UDA for traffic object detection. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI67909.2025.11223280
NLM
Medeiros AN, Silva RM, Almeida J, Almeida TA de. Adapting synthetic eyes: a study of pixel and feature-level UDA for traffic object detection [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/SIBGRAPI67909.2025.11223280
Vancouver
Medeiros AN, Silva RM, Almeida J, Almeida TA de. Adapting synthetic eyes: a study of pixel and feature-level UDA for traffic object detection [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/SIBGRAPI67909.2025.11223280
Trabalho de evento
Robust scene understanding for mobile robots based on vision and deep learning models (2025)
Pereira, Letícia C; Osório, Fernando Santos
Source: Proceedings. Conference titles: International Conference on Informatics in Control, Automation and Robotics. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, VISÃO COMPUTACIONAL, ROBÔS
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ABNT
PEREIRA, Letícia C e OSÓRIO, Fernando Santos. Robust scene understanding for mobile robots based on vision and deep learning models. 2025, Anais.. Setúbal: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, 2025. Disponível em: https://doi.org/10.5220/0013789100003982. Acesso em: 08 dez. 2025.
APA
Pereira, L. C., & Osório, F. S. (2025). Robust scene understanding for mobile robots based on vision and deep learning models. In Proceedings. Setúbal: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.5220/0013789100003982
NLM
Pereira LC, Osório FS. Robust scene understanding for mobile robots based on vision and deep learning models [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.5220/0013789100003982
Vancouver
Pereira LC, Osório FS. Robust scene understanding for mobile robots based on vision and deep learning models [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.5220/0013789100003982
Trabalho de evento
Knowledge distillation for reduced footprint semantic segmentation with the U-net (2025)
Rosa, Ciro ; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: IME
Subjects: COMPRESSÃO (COMPUTABILIDADE E COMPLEXIDADE), VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL
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ABNT
ROSA, Ciro e HIRATA, Nina Sumiko Tomita. Knowledge distillation for reduced footprint semantic segmentation with the U-net. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3672608.3707773. Acesso em: 08 dez. 2025.
APA
Rosa, C., & Hirata, N. S. T. (2025). Knowledge distillation for reduced footprint semantic segmentation with the U-net. In Proceedings. New York: ACM. doi:10.1145/3672608.3707773
NLM
Rosa C, Hirata NST. Knowledge distillation for reduced footprint semantic segmentation with the U-net [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1145/3672608.3707773
Vancouver
Rosa C, Hirata NST. Knowledge distillation for reduced footprint semantic segmentation with the U-net [Internet]. Proceedings. 2025 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1145/3672608.3707773
Trabalho de evento-anais periodico
An end-to-end deep learning approach for video captioning through mobile devices (2024)
Damaceno, Rafael Jeferson Pezzuto ; César Júnior, Roberto Marcondes
Source: Proceedings. Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, APRENDIZAGEM PROFUNDA
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ABNT
DAMACENO, Rafael Jeferson Pezzuto e CÉSAR JÚNIOR, Roberto Marcondes. An end-to-end deep learning approach for video captioning through mobile devices. Proceedings. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-49018-7_51. Acesso em: 08 dez. 2025. , 2024
APA
Damaceno, R. J. P., & César Júnior, R. M. (2024). An end-to-end deep learning approach for video captioning through mobile devices. Proceedings. Cham: Springer. doi:10.1007/978-3-031-49018-7_51
NLM
Damaceno RJP, César Júnior RM. An end-to-end deep learning approach for video captioning through mobile devices [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_51
Vancouver
Damaceno RJP, César Júnior RM. An end-to-end deep learning approach for video captioning through mobile devices [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_51
Trabalho de evento
A robust method for camera calibration in noisy settings based on genetic programming (2024)
Casado, Ricardo Salvino; Tronco, Mario Luiz ; Pedrino, Emerson Carlos
Source: Proceedings. Conference titles: IEEE International Conference on Systems, Man, and Cybernetics - SMC. Unidade: EESC
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, PROGRAMAÇÃO GENÉTICA, ENGENHARIA MECÂNICA
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ABNT
CASADO, Ricardo Salvino e TRONCO, Mario Luiz e PEDRINO, Emerson Carlos. A robust method for camera calibration in noisy settings based on genetic programming. 2024, Anais.. Los Alamitos, CA, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2024. Disponível em: https://dx.doi.org/10.1109/SMC54092.2024.10831486. Acesso em: 08 dez. 2025.
APA
Casado, R. S., Tronco, M. L., & Pedrino, E. C. (2024). A robust method for camera calibration in noisy settings based on genetic programming. In Proceedings. Los Alamitos, CA, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/SMC54092.2024.10831486
NLM
Casado RS, Tronco ML, Pedrino EC. A robust method for camera calibration in noisy settings based on genetic programming [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://dx.doi.org/10.1109/SMC54092.2024.10831486
Vancouver
Casado RS, Tronco ML, Pedrino EC. A robust method for camera calibration in noisy settings based on genetic programming [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://dx.doi.org/10.1109/SMC54092.2024.10831486
Trabalho de evento
Tactile path guidance via weakly supervised visual attention (2024)
Costa, Suayder Milhomem; Damaceno, Rafael Jeferson Pezzuto ; Morimitsu, Henrique ; César Júnior, Roberto Marcondes
Source: Proceedings. Conference titles: The Future of Urban Accessibility Workshop: The Role of AI - URBANACCESS’24. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, MOBILIDADE URBANA, DEFICIÊNCIA VISUAL
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ABNT
COSTA, Suayder Milhomem et al. Tactile path guidance via weakly supervised visual attention. 2024, Anais.. New York: ACM, 2024. Disponível em: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Costa_TactilePathGuidanceViaWeaklySupervisedVisualAttention_UrbanAccess2024.pdf. Acesso em: 08 dez. 2025.
APA
Costa, S. M., Damaceno, R. J. P., Morimitsu, H., & César Júnior, R. M. (2024). Tactile path guidance via weakly supervised visual attention. In Proceedings. New York: ACM. Recuperado de https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Costa_TactilePathGuidanceViaWeaklySupervisedVisualAttention_UrbanAccess2024.pdf
NLM
Costa SM, Damaceno RJP, Morimitsu H, César Júnior RM. Tactile path guidance via weakly supervised visual attention [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Costa_TactilePathGuidanceViaWeaklySupervisedVisualAttention_UrbanAccess2024.pdf
Vancouver
Costa SM, Damaceno RJP, Morimitsu H, César Júnior RM. Tactile path guidance via weakly supervised visual attention [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Costa_TactilePathGuidanceViaWeaklySupervisedVisualAttention_UrbanAccess2024.pdf
Trabalho de evento
Towards a method for evaluating bus stop infrastructure with street level images and large language models (2024)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Damaceno, Rafael Jeferson Pezzuto ; Hirata Júnior, Roberto ; César Júnior, Roberto Marcondes
Source: Proceedings. Conference titles: The Future of Urban Accessibility Workshop: The Role of AI - URBANACCESS’24. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE SINAIS, APRENDIZADO COMPUTACIONAL, CIDADES INTELIGENTES, PROCESSAMENTO DE IMAGENS
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Towards a method for evaluating bus stop infrastructure with street level images and large language models. 2024, Anais.. New York: ACM, 2024. Disponível em: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Oliveira_TowardsAMethodForEvaluatingBusStopInfrastructureWithStreetLevelImagesAndLLMs_UrbanAccess2024.pdf. Acesso em: 08 dez. 2025.
APA
Oliveira, A. A. A. de M., Espadoto, M., Damaceno, R. J. P., Hirata Júnior, R., & César Júnior, R. M. (2024). Towards a method for evaluating bus stop infrastructure with street level images and large language models. In Proceedings. New York: ACM. Recuperado de https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Oliveira_TowardsAMethodForEvaluatingBusStopInfrastructureWithStreetLevelImagesAndLLMs_UrbanAccess2024.pdf
NLM
Oliveira AAA de M, Espadoto M, Damaceno RJP, Hirata Júnior R, César Júnior RM. Towards a method for evaluating bus stop infrastructure with street level images and large language models [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Oliveira_TowardsAMethodForEvaluatingBusStopInfrastructureWithStreetLevelImagesAndLLMs_UrbanAccess2024.pdf
Vancouver
Oliveira AAA de M, Espadoto M, Damaceno RJP, Hirata Júnior R, César Júnior RM. Towards a method for evaluating bus stop infrastructure with street level images and large language models [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Oliveira_TowardsAMethodForEvaluatingBusStopInfrastructureWithStreetLevelImagesAndLLMs_UrbanAccess2024.pdf
Trabalho de evento
Efficient parameter mining and freezing for continual object detection (2024)
Menezes, Angelo Garangau ; Peterlevitz, Augusto José ; Chinelatto, Mateus Antonio ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VISÃO COMPUTACIONAL
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ABNT
MENEZES, Angelo Garangau et al. Efficient parameter mining and freezing for continual object detection. 2024, Anais.. Setúbal: SciTePress, 2024. Disponível em: https://doi.org/10.5220/0012362300003660. Acesso em: 08 dez. 2025.
APA
Menezes, A. G., Peterlevitz, A. J., Chinelatto, M. A., & Carvalho, A. C. P. de L. F. de. (2024). Efficient parameter mining and freezing for continual object detection. In Proceedings. Setúbal: SciTePress. doi:10.5220/0012362300003660
NLM
Menezes AG, Peterlevitz AJ, Chinelatto MA, Carvalho ACP de LF de. Efficient parameter mining and freezing for continual object detection [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.5220/0012362300003660
Vancouver
Menezes AG, Peterlevitz AJ, Chinelatto MA, Carvalho ACP de LF de. Efficient parameter mining and freezing for continual object detection [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.5220/0012362300003660
Trabalho de evento
Sensor fusion of LiDAR and stereo camera for forest mapping (2024)
Souza Neto, Amador Marcelino de; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS, MONITORAMENTO AMBIENTAL, FLORESTAS
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ABNT
SOUZA NETO, Amador Marcelino de e ROMERO, Roseli Aparecida Francelin. Sensor fusion of LiDAR and stereo camera for forest mapping. 2024, Anais.. Danvers: IEEE, 2024. Disponível em: https://doi.org/10.1109/LARS64411.2024.10786470. Acesso em: 08 dez. 2025.
APA
Souza Neto, A. M. de, & Romero, R. A. F. (2024). Sensor fusion of LiDAR and stereo camera for forest mapping. In Proceedings. Danvers: IEEE. doi:10.1109/LARS64411.2024.10786470
NLM
Souza Neto AM de, Romero RAF. Sensor fusion of LiDAR and stereo camera for forest mapping [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786470
Vancouver
Souza Neto AM de, Romero RAF. Sensor fusion of LiDAR and stereo camera for forest mapping [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786470
Trabalho de evento
Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems (2023)
Bruno, Diego Renan ; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, VEÍCULOS AUTÔNOMOS, VISÃO COMPUTACIONAL, CIDADES INTELIGENTES
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ABNT
BRUNO, Diego Renan e OSÓRIO, Fernando Santos. Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333032. Acesso em: 08 dez. 2025.
APA
Bruno, D. R., & Osório, F. S. (2023). Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE59448.2023.10333032
NLM
Bruno DR, Osório FS. Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems [Internet]. Proceedings. 2023 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333032
Vancouver
Bruno DR, Osório FS. Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems [Internet]. Proceedings. 2023 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333032
Trabalho de evento
ITS Unplugged: leapfrogging the digital divide for teaching numeracy skills in underserved populations (2023)
Silva, Thomaz Edson Veloso da; Challco, Geiser Chalco ; Rodrigues, Luiz Antonio Lima ; Versuti, Fabiana Maris ; Penha, Rodolfo Sena da ; Oliveira, Lívia Silva; Guerino, Guilherme ; Amorin, Luis Felipe Cavalcanti de ; Marinho, Marcelo Luiz Monteiro ; Macario, Valmir ; Dermeval, Diego ; Pinto, Ig Ibert Bittencourt Santana ; Isotani, Seiji
Source: Proceedings. Conference titles: Workshop Towards the Future of AI-Augmented Human Tutoring in Math Learning. Unidades: FFCLRP, ICMC
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, TOMADA DE DECISÃO
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ABNT
SILVA, Thomaz Edson Veloso da et al. ITS Unplugged: leapfrogging the digital divide for teaching numeracy skills in underserved populations. 2023, Anais.. Aache: CEUR-WS, 2023. Disponível em: https://ceur-ws.org/Vol-3491/paper6.pdf. Acesso em: 08 dez. 2025.
APA
Silva, T. E. V. da, Challco, G. C., Rodrigues, L. A. L., Versuti, F. M., Penha, R. S. da, Oliveira, L. S., et al. (2023). ITS Unplugged: leapfrogging the digital divide for teaching numeracy skills in underserved populations. In Proceedings. Aache: CEUR-WS. Recuperado de https://ceur-ws.org/Vol-3491/paper6.pdf
NLM
Silva TEV da, Challco GC, Rodrigues LAL, Versuti FM, Penha RS da, Oliveira LS, Guerino G, Amorin LFC de, Marinho MLM, Macario V, Dermeval D, Pinto IIBS, Isotani S. ITS Unplugged: leapfrogging the digital divide for teaching numeracy skills in underserved populations [Internet]. Proceedings. 2023 ;[citado 2025 dez. 08 ] Available from: https://ceur-ws.org/Vol-3491/paper6.pdf
Vancouver
Silva TEV da, Challco GC, Rodrigues LAL, Versuti FM, Penha RS da, Oliveira LS, Guerino G, Amorin LFC de, Marinho MLM, Macario V, Dermeval D, Pinto IIBS, Isotani S. ITS Unplugged: leapfrogging the digital divide for teaching numeracy skills in underserved populations [Internet]. Proceedings. 2023 ;[citado 2025 dez. 08 ] Available from: https://ceur-ws.org/Vol-3491/paper6.pdf
Trabalho de evento
Advancing thyroid pathologies detection with recurrent neural networks and micro-FTIR hyperspectral imaging (2023)
Baffa, Matheus de Freitas Oliveira; Bachmann, Luciano ; Zezell, Denise Maria; Pereira, Thiago Martini; Deserno, Thomas Martin; Felipe, Joaquim Cezar
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems (CBMS). Unidade: FFCLRP
Subjects: NEOPLASIAS DA TIREOIDE, REDES NEURAIS, VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAFFA, Matheus de Freitas Oliveira et al. Advancing thyroid pathologies detection with recurrent neural networks and micro-FTIR hyperspectral imaging. 2023, Anais.. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2023. Disponível em: https://doi.org/10.1109/CBMS58004.2023.00288. Acesso em: 08 dez. 2025.
APA
Baffa, M. de F. O., Bachmann, L., Zezell, D. M., Pereira, T. M., Deserno, T. M., & Felipe, J. C. (2023). Advancing thyroid pathologies detection with recurrent neural networks and micro-FTIR hyperspectral imaging. In Proceedings. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1109/CBMS58004.2023.00288
NLM
Baffa M de FO, Bachmann L, Zezell DM, Pereira TM, Deserno TM, Felipe JC. Advancing thyroid pathologies detection with recurrent neural networks and micro-FTIR hyperspectral imaging [Internet]. Proceedings. 2023 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00288
Vancouver
Baffa M de FO, Bachmann L, Zezell DM, Pereira TM, Deserno TM, Felipe JC. Advancing thyroid pathologies detection with recurrent neural networks and micro-FTIR hyperspectral imaging [Internet]. Proceedings. 2023 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00288
Trabalho de evento
A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle (2023)
Bruno, Diego Renan ; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, VEÍCULOS AUTÔNOMOS, ROBÓTICA, REVISÃO SISTEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRUNO, Diego Renan e OSÓRIO, Fernando Santos. A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332971. Acesso em: 08 dez. 2025.
APA
Bruno, D. R., & Osório, F. S. (2023). A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE59448.2023.10332971
NLM
Bruno DR, Osório FS. A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle [Internet]. Proceedings. 2023 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332971
Vancouver
Bruno DR, Osório FS. A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle [Internet]. Proceedings. 2023 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332971
Trabalho de evento
Semantic and depth learning for autonomous forest mapping (2023)
Nardari, Guilherme Vicentim ; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, ROBÓTICA, FLORESTAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NARDARI, Guilherme Vicentim e ROMERO, Roseli Aparecida Francelin. Semantic and depth learning for autonomous forest mapping. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332962. Acesso em: 08 dez. 2025.
APA
Nardari, G. V., & Romero, R. A. F. (2023). Semantic and depth learning for autonomous forest mapping. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE59448.2023.10332962
NLM
Nardari GV, Romero RAF. Semantic and depth learning for autonomous forest mapping [Internet]. Proceedings. 2023 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332962
Vancouver
Nardari GV, Romero RAF. Semantic and depth learning for autonomous forest mapping [Internet]. Proceedings. 2023 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332962
Trabalho de evento
ADAS classifier for driver monitoring and driving qualification using both internal and external vehicle data (2022)
Berri, Rafael Alceste ; Bruno, Diego Renan ; Borges, Eduardo ; Lucca, Giancarlo ; Osório, Fernando Santos
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, VEÍCULOS AUTÔNOMOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERRI, Rafael Alceste et al. ADAS classifier for driver monitoring and driving qualification using both internal and external vehicle data. 2022, Anais.. Lisboa: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, 2022. Disponível em: https://doi.org/10.5220/0010880100003124. Acesso em: 08 dez. 2025.
APA
Berri, R. A., Bruno, D. R., Borges, E., Lucca, G., & Osório, F. S. (2022). ADAS classifier for driver monitoring and driving qualification using both internal and external vehicle data. In Proceedings. Lisboa: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.5220/0010880100003124
NLM
Berri RA, Bruno DR, Borges E, Lucca G, Osório FS. ADAS classifier for driver monitoring and driving qualification using both internal and external vehicle data [Internet]. Proceedings. 2022 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.5220/0010880100003124
Vancouver
Berri RA, Bruno DR, Borges E, Lucca G, Osório FS. ADAS classifier for driver monitoring and driving qualification using both internal and external vehicle data [Internet]. Proceedings. 2022 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.5220/0010880100003124
Trabalho de evento
Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement (2022)
Castro, Augusto Ribeiro ; Grassi Júnior, Valdir ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidades: EESC, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO, Augusto Ribeiro e GRASSI JÚNIOR, Valdir e PONTI, Moacir Antonelli. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0010915300003124. Acesso em: 08 dez. 2025.
APA
Castro, A. R., Grassi Júnior, V., & Ponti, M. A. (2022). Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010915300003124
NLM
Castro AR, Grassi Júnior V, Ponti MA. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement [Internet]. Proceedings. 2022 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.5220/0010915300003124
Vancouver
Castro AR, Grassi Júnior V, Ponti MA. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement [Internet]. Proceedings. 2022 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.5220/0010915300003124

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