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Trabalho de evento
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. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-031-49018-7_51. Acesso em: 09 nov. 2024.
APA
Damaceno, R. J. P., & César Júnior, R. M. (2024). An end-to-end deep learning approach for video captioning through mobile devices. In 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 2024 nov. 09 ] 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 2024 nov. 09 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_51
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: 09 nov. 2024.
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 2024 nov. 09 ] 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 2024 nov. 09 ] Available from: https://doi.org/10.5220/0012362300003660
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
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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: 09 nov. 2024.
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 2024 nov. 09 ] 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 2024 nov. 09 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00288
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: 09 nov. 2024.
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 2024 nov. 09 ] 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 2024 nov. 09 ] 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: 09 nov. 2024.
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 2024 nov. 09 ] 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 2024 nov. 09 ] Available from: https://ceur-ws.org/Vol-3491/paper6.pdf
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
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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: 09 nov. 2024.
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 2024 nov. 09 ] 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 2024 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332962
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
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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: 09 nov. 2024.
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 2024 nov. 09 ] 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 2024 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332971
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
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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: 09 nov. 2024.
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 2024 nov. 09 ] 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 2024 nov. 09 ] Available from: https://doi.org/10.5220/0010880100003124
Trabalho de evento
Brazilian Road's Animals (BRA): an image dataset of most commonly run over animals (2022)
Ferrante, Gabriel Souto ; Nakamura, Luis Hideo Vasconcelos ; Andrade, Fernando Roberto Hebeler; Rocha Filho, Geraldo Pereira ; Grande, Robson E. De ; Meneguette, Rodolfo Ipolito
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, ANÁLISE DE DESEMPENHO, POPULAÇÕES ANIMAIS, RODOVIAS
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ABNT
FERRANTE, Gabriel Souto et al. Brazilian Road's Animals (BRA): an image dataset of most commonly run over animals. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/SIBGRAPI55357.2022.9991774. Acesso em: 09 nov. 2024.
APA
Ferrante, G. S., Nakamura, L. H. V., Andrade, F. R. H., Rocha Filho, G. P., Grande, R. E. D., & Meneguette, R. I. (2022). Brazilian Road's Animals (BRA): an image dataset of most commonly run over animals. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI55357.2022.9991774
NLM
Ferrante GS, Nakamura LHV, Andrade FRH, Rocha Filho GP, Grande RED, Meneguette RI. Brazilian Road's Animals (BRA): an image dataset of most commonly run over animals [Internet]. Proceedings. 2022 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991774
Vancouver
Ferrante GS, Nakamura LHV, Andrade FRH, Rocha Filho GP, Grande RED, Meneguette RI. Brazilian Road's Animals (BRA): an image dataset of most commonly run over animals [Internet]. Proceedings. 2022 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991774
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
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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: 09 nov. 2024.
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 2024 nov. 09 ] 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 2024 nov. 09 ] Available from: https://doi.org/10.5220/0010915300003124
Trabalho de evento
Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning (2022)
Suprem, Abhijit; Vaidya, Sanjyot; Cherkadi, Suma; Singh, Purva; Ferreira, João Eduardo ; Pu, Calton
Source: Proceedings. Conference titles: International Conference on Cognitive Machine Intelligence - CogMI. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, ENGENHARIA DE CONHECIMENTO, RECONHECIMENTO DE OBJETOS, VEÍCULOS
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ABNT
SUPREM, Abhijit et al. Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/CogMI56440.2022.00021. Acesso em: 09 nov. 2024.
APA
Suprem, A., Vaidya, S., Cherkadi, S., Singh, P., Ferreira, J. E., & Pu, C. (2022). Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning. In Proceedings. Piscataway: IEEE. doi:10.1109/CogMI56440.2022.00021
NLM
Suprem A, Vaidya S, Cherkadi S, Singh P, Ferreira JE, Pu C. Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning [Internet]. Proceedings. 2022 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/CogMI56440.2022.00021
Vancouver
Suprem A, Vaidya S, Cherkadi S, Singh P, Ferreira JE, Pu C. Constructive interpretability with colabel: corroborative integration, complementary features, and collaborative learning [Internet]. Proceedings. 2022 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/CogMI56440.2022.00021
Trabalho de evento
Semantic SuperPoint: a deep semantic descriptor (2022)
Gama, Gabriel Soares; Rosa, Nícolas dos Santos ; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidades: EESC, EESC E ICMC
Subjects: VISÃO COMPUTACIONAL, ROBÓTICA, ENGENHARIA MECÂNICA
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ABNT
GAMA, Gabriel Soares e ROSA, Nícolas dos Santos e GRASSI JÚNIOR, Valdir. Semantic SuperPoint: a deep semantic descriptor. 2022, Anais.. Piscataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9996027. Acesso em: 09 nov. 2024.
APA
Gama, G. S., Rosa, N. dos S., & Grassi Júnior, V. (2022). Semantic SuperPoint: a deep semantic descriptor. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/LARS/SBR/WRE56824.2022.9996027
NLM
Gama GS, Rosa N dos S, Grassi Júnior V. Semantic SuperPoint: a deep semantic descriptor [Internet]. Proceedings. 2022 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9996027
Vancouver
Gama GS, Rosa N dos S, Grassi Júnior V. Semantic SuperPoint: a deep semantic descriptor [Internet]. Proceedings. 2022 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9996027
Trabalho de evento
Locating urban trees near electric wires using Google Street View Photos: a new dataset and a semi-supervised learning approach in the wild (2022)
Oliveira, Artur André Almeida de Macedo ; Wang, Zhangyang ; Hirata Júnior, Roberto
Source: Proceedings. Conference titles: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops - CVPRW. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS
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ABNT
OLIVEIRA, Artur André Almeida de Macedo e WANG, Zhangyang e HIRATA JÚNIOR, Roberto. Locating urban trees near electric wires using Google Street View Photos: a new dataset and a semi-supervised learning approach in the wild. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/CVPRW56347.2022.00474. Acesso em: 09 nov. 2024.
APA
Oliveira, A. A. A. de M., Wang, Z., & Hirata Júnior, R. (2022). Locating urban trees near electric wires using Google Street View Photos: a new dataset and a semi-supervised learning approach in the wild. In Proceedings. Piscataway: IEEE. doi:10.1109/CVPRW56347.2022.00474
NLM
Oliveira AAA de M, Wang Z, Hirata Júnior R. Locating urban trees near electric wires using Google Street View Photos: a new dataset and a semi-supervised learning approach in the wild [Internet]. Proceedings. 2022 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/CVPRW56347.2022.00474
Vancouver
Oliveira AAA de M, Wang Z, Hirata Júnior R. Locating urban trees near electric wires using Google Street View Photos: a new dataset and a semi-supervised learning approach in the wild [Internet]. Proceedings. 2022 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/CVPRW56347.2022.00474
Trabalho de evento
OptMap: using dense maps for visualizing multidimensional optimization problems (2021)
Espadoto, Mateus ; Rodrigues, Francisco Caio Maia ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: IME
Subjects: COMPUTAÇÃO GRÁFICA, VISÃO COMPUTACIONAL
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ABNT
ESPADOTO, Mateus et al. OptMap: using dense maps for visualizing multidimensional optimization problems. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010288501230132. Acesso em: 09 nov. 2024.
APA
Espadoto, M., Rodrigues, F. C. M., Hirata, N. S. T., & Telea, A. C. (2021). OptMap: using dense maps for visualizing multidimensional optimization problems. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010288501230132
NLM
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. OptMap: using dense maps for visualizing multidimensional optimization problems [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.5220/0010288501230132
Vancouver
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. OptMap: using dense maps for visualizing multidimensional optimization problems [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.5220/0010288501230132
Trabalho de evento
HGaze typing: head-gesture assisted gaze typing (2021)
Feng, Wenxin; Zou, Jiangnan; Kurauchi, Andrew ; Morimoto, Carlos Hitoshi ; Betke, Margrit
Source: Proceedings. Conference titles: Symposium on Eye Tracking Research and Applications - ETRA. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, INTERAÇÃO HOMEM-MÁQUINA
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ABNT
FENG, Wenxin et al. HGaze typing: head-gesture assisted gaze typing. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3448017.3457379. Acesso em: 09 nov. 2024.
APA
Feng, W., Zou, J., Kurauchi, A., Morimoto, C. H., & Betke, M. (2021). HGaze typing: head-gesture assisted gaze typing. In Proceedings. New York: ACM. doi:10.1145/3448017.3457379
NLM
Feng W, Zou J, Kurauchi A, Morimoto CH, Betke M. HGaze typing: head-gesture assisted gaze typing [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1145/3448017.3457379
Vancouver
Feng W, Zou J, Kurauchi A, Morimoto CH, Betke M. HGaze typing: head-gesture assisted gaze typing [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1145/3448017.3457379
Trabalho de evento
Dissecting the high-frequency bias in convolutional neural networks (2021)
Abello, Antonio Augusto; Hirata Júnior, Roberto ; Wang, Zhangyang
Source: Proceedings. Conference titles: Conference on Computer Vision and Pattern Recognition Workshops - CVPRW. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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ABNT
ABELLO, Antonio Augusto e HIRATA JÚNIOR, Roberto e WANG, Zhangyang. Dissecting the high-frequency bias in convolutional neural networks. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/CVPRW53098.2021.00096. Acesso em: 09 nov. 2024.
APA
Abello, A. A., Hirata Júnior, R., & Wang, Z. (2021). Dissecting the high-frequency bias in convolutional neural networks. In Proceedings. Piscataway: IEEE. doi:10.1109/CVPRW53098.2021.00096
NLM
Abello AA, Hirata Júnior R, Wang Z. Dissecting the high-frequency bias in convolutional neural networks [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/CVPRW53098.2021.00096
Vancouver
Abello AA, Hirata Júnior R, Wang Z. Dissecting the high-frequency bias in convolutional neural networks [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/CVPRW53098.2021.00096
Trabalho de evento
Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information (2021)
Silva, Júnior Anderson Rodrigues da ; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidades: EESC, ICMC
Subjects: VEÍCULOS AUTÔNOMOS, VISÃO COMPUTACIONAL, PROCESSOS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Júnior Anderson Rodrigues da e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICAR53236.2021.9659406. Acesso em: 09 nov. 2024.
APA
Silva, J. A. R. da, Grassi Júnior, V., & Wolf, D. F. (2021). Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR53236.2021.9659406
NLM
Silva JAR da, Grassi Júnior V, Wolf DF. Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659406
Vancouver
Silva JAR da, Grassi Júnior V, Wolf DF. Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659406
Trabalho de evento
Evaluation of traditional and deep learning human detection techniques applied to surveillance: a performance comparison at distinct object sizes (2021)
Gonçalves, Vinicius Pereira ; Silva, Lourival Paulino da; Marques, Fátima de Lourdes dos Santos Nunes ; Ferreira, João Eduardo ; Araújo, Luciano Vieira de
Source: Proceedings. Conference titles: International Conference on Signal Processing, Communications and Computing. Unidades: EACH, IME
Subjects: PROCESSAMENTO DE SINAIS, VISÃO COMPUTACIONAL, APRENDIZAGEM PROFUNDA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONÇALVES, Vinicius Pereira et al. Evaluation of traditional and deep learning human detection techniques applied to surveillance: a performance comparison at distinct object sizes. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICSPCC52875.2021.9564442. Acesso em: 09 nov. 2024.
APA
Gonçalves, V. P., Silva, L. P. da, Marques, F. de L. dos S. N., Ferreira, J. E., & Araújo, L. V. de. (2021). Evaluation of traditional and deep learning human detection techniques applied to surveillance: a performance comparison at distinct object sizes. In Proceedings. Piscataway: IEEE. doi:10.1109/ICSPCC52875.2021.9564442
NLM
Gonçalves VP, Silva LP da, Marques F de L dos SN, Ferreira JE, Araújo LV de. Evaluation of traditional and deep learning human detection techniques applied to surveillance: a performance comparison at distinct object sizes [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/ICSPCC52875.2021.9564442
Vancouver
Gonçalves VP, Silva LP da, Marques F de L dos SN, Ferreira JE, Araújo LV de. Evaluation of traditional and deep learning human detection techniques applied to surveillance: a performance comparison at distinct object sizes [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/ICSPCC52875.2021.9564442
Trabalho de evento
Understanding the state of the art in animal detection and classification using computer vision technologies (2021)
Ferrante, Gabriel Souto ; Rodrigues, Felipe Maciel ; Andrade, Fernando Roberto Hebeler; Goularte, Rudinei ; Meneguette, Rodolfo Ipolito
Source: Proceedings. Conference titles: IEEE International Conference on Big Data - Big Data. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, ANIMAIS, AMBIENTES URBANOS, REVISÃO SISTEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRANTE, Gabriel Souto et al. Understanding the state of the art in animal detection and classification using computer vision technologies. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/BigData52589.2021.9672049. Acesso em: 09 nov. 2024.
APA
Ferrante, G. S., Rodrigues, F. M., Andrade, F. R. H., Goularte, R., & Meneguette, R. I. (2021). Understanding the state of the art in animal detection and classification using computer vision technologies. In Proceedings. Piscataway: IEEE. doi:10.1109/BigData52589.2021.9672049
NLM
Ferrante GS, Rodrigues FM, Andrade FRH, Goularte R, Meneguette RI. Understanding the state of the art in animal detection and classification using computer vision technologies [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/BigData52589.2021.9672049
Vancouver
Ferrante GS, Rodrigues FM, Andrade FRH, Goularte R, Meneguette RI. Understanding the state of the art in animal detection and classification using computer vision technologies [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/BigData52589.2021.9672049
Trabalho de evento
Reducing the need for bounding box annotations in object detection using image classification data (2021)
Blanger, Leonardo ; Hirata, Nina Sumiko Tomita ; Jiang, Xiaoyi
Source: Proceedings. Conference titles: Brazilian Symposium on Computer Graphics and Image Processing - SIBGRAPI. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BLANGER, Leonardo e HIRATA, Nina Sumiko Tomita e JIANG, Xiaoyi. Reducing the need for bounding box annotations in object detection using image classification data. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00035. Acesso em: 09 nov. 2024.
APA
Blanger, L., Hirata, N. S. T., & Jiang, X. (2021). Reducing the need for bounding box annotations in object detection using image classification data. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI54419.2021.00035
NLM
Blanger L, Hirata NST, Jiang X. Reducing the need for bounding box annotations in object detection using image classification data [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00035
Vancouver
Blanger L, Hirata NST, Jiang X. Reducing the need for bounding box annotations in object detection using image classification data [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00035

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