ReP USP - Resultado da busca

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
Fonte: Proceedings. Nome do evento: IEEE/CVF Conference on Computer Vision and Pattern Recognition - CVPR. Unidade: IME
Assuntos: 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://openaccess.thecvf.com/content/CVPR2025/papers/Morimitsu_DPFlow_Adaptive_Optical_Flow_Estimation_with_a_Dual-Pyramid_Framework_CVPR_2025_paper.pdf. Acesso em: 03 nov. 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. Recuperado de https://openaccess.thecvf.com/content/CVPR2025/papers/Morimitsu_DPFlow_Adaptive_Optical_Flow_Estimation_with_a_Dual-Pyramid_Framework_CVPR_2025_paper.pdf
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 nov. 03 ] Available from: https://openaccess.thecvf.com/content/CVPR2025/papers/Morimitsu_DPFlow_Adaptive_Optical_Flow_Estimation_with_a_Dual-Pyramid_Framework_CVPR_2025_paper.pdf
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 nov. 03 ] Available from: https://openaccess.thecvf.com/content/CVPR2025/papers/Morimitsu_DPFlow_Adaptive_Optical_Flow_Estimation_with_a_Dual-Pyramid_Framework_CVPR_2025_paper.pdf
Trabalho de evento
Improving image classification tasks using fused embeddings and multimodal models (2025)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; César Júnior, Roberto Marcondes
Fonte: Proceedings. Nome do evento: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: IME
Assuntos: IMAGEM, INTELIGÊNCIA ARTIFICIAL, CLUSTERS
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Improving image classification tasks using fused embeddings and multimodal models. 2025, Anais.. Setúbal: SciTePress, 2025. p. 232-241. Disponível em: https://www.scitepress.org/Papers/2025/133656/133656.pdf. Acesso em: 03 nov. 2025.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., & César Júnior, R. M. (2025). Improving image classification tasks using fused embeddings and multimodal models. In Proceedings (p. 232-241). Setúbal: SciTePress. doi:10.5220/0013365600003912
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, César Júnior RM. Improving image classification tasks using fused embeddings and multimodal models [Internet]. Proceedings. 2025 ; 232-241.[citado 2025 nov. 03 ] Available from: https://www.scitepress.org/Papers/2025/133656/133656.pdf
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, César Júnior RM. Improving image classification tasks using fused embeddings and multimodal models [Internet]. Proceedings. 2025 ; 232-241.[citado 2025 nov. 03 ] Available from: https://www.scitepress.org/Papers/2025/133656/133656.pdf
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
Fonte: Proceedings. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP. Unidade: IME
Assuntos: 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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_51
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
Fonte: Proceedings. Nome do evento: The Future of Urban Accessibility Workshop: The Role of AI - URBANACCESS’24. Unidade: IME
Assuntos: 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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] 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
Fonte: Proceedings. Nome do evento: The Future of Urban Accessibility Workshop: The Role of AI - URBANACCESS’24. Unidade: IME
Assuntos: 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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Oliveira_TowardsAMethodForEvaluatingBusStopInfrastructureWithStreetLevelImagesAndLLMs_UrbanAccess2024.pdf
Trabalho de evento
RAPIDFlow: recurrent adaptable pyramids with iterative decoding for efficient optical flow estimation (2024)
Morimitsu, Henrique ; Zhu, Xiaobin ; César Júnior, Roberto Marcondes ; Ji, Xiangyang ; Yin, Xu-Cheng
Fonte: Proceedings. Nome do evento: International Conference on Robotics and Automation - ICRA. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
MORIMITSU, Henrique et al. RAPIDFlow: recurrent adaptable pyramids with iterative decoding for efficient optical flow estimation. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/ICRA57147.2024.10610277. Acesso em: 03 nov. 2025.
APA
Morimitsu, H., Zhu, X., César Júnior, R. M., Ji, X., & Yin, X. -C. (2024). RAPIDFlow: recurrent adaptable pyramids with iterative decoding for efficient optical flow estimation. In Proceedings. Piscataway: IEEE. doi:10.1109/ICRA57147.2024.10610277
NLM
Morimitsu H, Zhu X, César Júnior RM, Ji X, Yin X-C. RAPIDFlow: recurrent adaptable pyramids with iterative decoding for efficient optical flow estimation [Internet]. Proceedings. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/ICRA57147.2024.10610277
Vancouver
Morimitsu H, Zhu X, César Júnior RM, Ji X, Yin X-C. RAPIDFlow: recurrent adaptable pyramids with iterative decoding for efficient optical flow estimation [Internet]. Proceedings. 2024 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.1109/ICRA57147.2024.10610277
Trabalho de evento
SideSeeing: a multimodal dataset and tools for sidewalk assessment (2024)
Damaceno, Rafael Jeferson Pezzuto ; Ferreira, Leonardo; Miranda. Fabio; Hosseini, Maryam; César Júnior, Roberto Marcondes
Fonte: Proceedings. Nome do evento: The Future of Urban Accessibility Workshop: The Role of AI - URBANACCESS’24. Unidade: IME
Assuntos: CALÇADAS, AMBIENTES URBANOS, CIDADES INTELIGENTES, PROCESSAMENTO DE IMAGENS
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ABNT
DAMACENO, Rafael Jeferson Pezzuto et al. SideSeeing: a multimodal dataset and tools for sidewalk assessment. 2024, Anais.. New York: ACM, 2024. Disponível em: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Damaceno_SideSeeing-AMultimodalDatasetAndToolsForSidewalkAssessment_UrbanAccess2024.pdf. Acesso em: 03 nov. 2025.
APA
Damaceno, R. J. P., Ferreira, L., Miranda. Fabio,, Hosseini, M., & César Júnior, R. M. (2024). SideSeeing: a multimodal dataset and tools for sidewalk assessment. In Proceedings. New York: ACM. Recuperado de https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Damaceno_SideSeeing-AMultimodalDatasetAndToolsForSidewalkAssessment_UrbanAccess2024.pdf
NLM
Damaceno RJP, Ferreira L, Miranda. Fabio, Hosseini M, César Júnior RM. SideSeeing: a multimodal dataset and tools for sidewalk assessment [Internet]. Proceedings. 2024 ;[citado 2025 nov. 03 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Damaceno_SideSeeing-AMultimodalDatasetAndToolsForSidewalkAssessment_UrbanAccess2024.pdf
Vancouver
Damaceno RJP, Ferreira L, Miranda. Fabio, Hosseini M, César Júnior RM. SideSeeing: a multimodal dataset and tools for sidewalk assessment [Internet]. Proceedings. 2024 ;[citado 2025 nov. 03 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Damaceno_SideSeeing-AMultimodalDatasetAndToolsForSidewalkAssessment_UrbanAccess2024.pdf
Artigo de periodico
Meta-learners for few-shot weakly-supervised medical image segmentation (2024)
Oliveira, Hugo Neves de ; Gama, Pedro Henrique Targino ; Bloch, Isabelle ; César Júnior, Roberto Marcondes
Fonte: Pattern Recognition. Unidade: IME
Assuntos: RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA
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ABNT
OLIVEIRA, Hugo Neves de et al. Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition, v. 153, n. artigo 110471, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2024.110471. Acesso em: 03 nov. 2025.
APA
Oliveira, H. N. de, Gama, P. H. T., Bloch, I., & César Júnior, R. M. (2024). Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition, 153( artigo 110471), 1-13. doi:10.1016/j.patcog.2024.110471
NLM
Oliveira HN de, Gama PHT, Bloch I, César Júnior RM. Meta-learners for few-shot weakly-supervised medical image segmentation [Internet]. Pattern Recognition. 2024 ; 153( artigo 110471): 1-13.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471
Vancouver
Oliveira HN de, Gama PHT, Bloch I, César Júnior RM. Meta-learners for few-shot weakly-supervised medical image segmentation [Internet]. Pattern Recognition. 2024 ; 153( artigo 110471): 1-13.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471
Trabalho de evento
A mobile device framework for video captioning using multimodal neural networks (2023)
Damaceno, Rafael Jeferson Pezzuto ; César Júnior, Roberto Marcondes
Fonte: Anais estendidos. Nome do evento: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME
Assunto: VISÃO COMPUTACIONAL
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ABNT
DAMACENO, Rafael Jeferson Pezzuto e CÉSAR JÚNIOR, Roberto Marcondes. A mobile device framework for video captioning using multimodal neural networks. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/sibgrapi.est.2023.27457. Acesso em: 03 nov. 2025.
APA
Damaceno, R. J. P., & César Júnior, R. M. (2023). A mobile device framework for video captioning using multimodal neural networks. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/sibgrapi.est.2023.27457
NLM
Damaceno RJP, César Júnior RM. A mobile device framework for video captioning using multimodal neural networks [Internet]. Anais estendidos. 2023 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.5753/sibgrapi.est.2023.27457
Vancouver
Damaceno RJP, César Júnior RM. A mobile device framework for video captioning using multimodal neural networks [Internet]. Anais estendidos. 2023 ;[citado 2025 nov. 03 ] Available from: https://doi.org/10.5753/sibgrapi.est.2023.27457
Artigo de periodico
An overview on meta-learning approaches for few-shot weakly-supervised segmentation (2023)
Gama, Pedro Henrique Targino ; Oliveira, Hugo Neves de ; Santos, Jefersson Alex dos ; César Júnior, Roberto Marcondes
Fonte: Computers & Graphics. Unidade: IME
Assuntos: APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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ABNT
GAMA, Pedro Henrique Targino et al. An overview on meta-learning approaches for few-shot weakly-supervised segmentation. Computers & Graphics, v. 113, p. 77-88, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2023.05.009. Acesso em: 03 nov. 2025.
APA
Gama, P. H. T., Oliveira, H. N. de, Santos, J. A. dos, & César Júnior, R. M. (2023). An overview on meta-learning approaches for few-shot weakly-supervised segmentation. Computers & Graphics, 113, 77-88. doi:10.1016/j.cag.2023.05.009
NLM
Gama PHT, Oliveira HN de, Santos JA dos, César Júnior RM. An overview on meta-learning approaches for few-shot weakly-supervised segmentation [Internet]. Computers & Graphics. 2023 ; 113 77-88.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.cag.2023.05.009
Vancouver
Gama PHT, Oliveira HN de, Santos JA dos, César Júnior RM. An overview on meta-learning approaches for few-shot weakly-supervised segmentation [Internet]. Computers & Graphics. 2023 ; 113 77-88.[citado 2025 nov. 03 ] Available from: https://doi.org/10.1016/j.cag.2023.05.009

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