ReP USP - Resultado da busca

Tese (Doutorado)
Towards wearable gaze interaction (2023)
Elmadjian, Carlos Eduardo Leão; Morimoto, Carlos Hitoshi (Orientador)
Unidade: IME
Subjects: RECONHECIMENTO DE PADRÕES, INTERAÇÃO USUÁRIO-COMPUTADOR, VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, PERCEPÇÃO DA FACE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ELMADJIAN, Carlos Eduardo Leão. Towards wearable gaze interaction. 2023. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-28062023-204100/. Acesso em: 03 out. 2023.
APA
Elmadjian, C. E. L. (2023). Towards wearable gaze interaction (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-28062023-204100/
NLM
Elmadjian CEL. Towards wearable gaze interaction [Internet]. 2023 ;[citado 2023 out. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-28062023-204100/
Vancouver
Elmadjian CEL. Towards wearable gaze interaction [Internet]. 2023 ;[citado 2023 out. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-28062023-204100/
Artigo de periodico
Online eye-movement classification with temporal convolutional networks (2022)
Elmadjian, Carlos; Gonzales, Candy Veronica Tenório ; Costa, Rodrigo Lima da; Morimoto, Carlos Hitoshi
Source: Behavior Research Methods. Unidade: IME
Assunto: VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ELMADJIAN, Carlos et al. Online eye-movement classification with temporal convolutional networks. Behavior Research Methods, 2022Tradução . . Disponível em: https://doi.org/10.3758/s13428-022-01978-2. Acesso em: 03 out. 2023.
APA
Elmadjian, C., Gonzales, C. V. T., Costa, R. L. da, & Morimoto, C. H. (2022). Online eye-movement classification with temporal convolutional networks. Behavior Research Methods. doi:10.3758/s13428-022-01978-2
NLM
Elmadjian C, Gonzales CVT, Costa RL da, Morimoto CH. Online eye-movement classification with temporal convolutional networks [Internet]. Behavior Research Methods. 2022 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.3758/s13428-022-01978-2
Vancouver
Elmadjian C, Gonzales CVT, Costa RL da, Morimoto CH. Online eye-movement classification with temporal convolutional networks [Internet]. Behavior Research Methods. 2022 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.3758/s13428-022-01978-2
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 out. 2023.
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 2023 out. 03 ] 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 2023 out. 03 ] Available from: https://doi.org/10.1109/CogMI56440.2022.00021
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 out. 2023.
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 2023 out. 03 ] 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 2023 out. 03 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 out. 2023.
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 2023 out. 03 ] 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 2023 out. 03 ] Available from: https://doi.org/10.5220/0010288501230132
Artigo de periodico
A framework for automatic hand range of motion evaluation of rheumatoid arthritis patients (2021)
Cejnog, Luciano Walenty Xavier ; de Campos, Teofilo ; Elui, Valéria Meirelles Carril ; César Júnior, Roberto Marcondes
Source: Informatics in Medicine Unlocked. Unidades: FMRP, IME
Subjects: VISÃO COMPUTACIONAL, ARTRITE REUMATOIDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CEJNOG, Luciano Walenty Xavier et al. A framework for automatic hand range of motion evaluation of rheumatoid arthritis patients. Informatics in Medicine Unlocked, v. 23, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.imu.2021.100544. Acesso em: 03 out. 2023.
APA
Cejnog, L. W. X., de Campos, T., Elui, V. M. C., & César Júnior, R. M. (2021). A framework for automatic hand range of motion evaluation of rheumatoid arthritis patients. Informatics in Medicine Unlocked, 23, 1-12. doi:10.1016/j.imu.2021.100544
NLM
Cejnog LWX, de Campos T, Elui VMC, César Júnior RM. A framework for automatic hand range of motion evaluation of rheumatoid arthritis patients [Internet]. Informatics in Medicine Unlocked. 2021 ; 23 1-12.[citado 2023 out. 03 ] Available from: https://doi.org/10.1016/j.imu.2021.100544
Vancouver
Cejnog LWX, de Campos T, Elui VMC, César Júnior RM. A framework for automatic hand range of motion evaluation of rheumatoid arthritis patients [Internet]. Informatics in Medicine Unlocked. 2021 ; 23 1-12.[citado 2023 out. 03 ] Available from: https://doi.org/10.1016/j.imu.2021.100544
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 out. 2023.
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 2023 out. 03 ] 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 2023 out. 03 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 out. 2023.
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 2023 out. 03 ] 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 2023 out. 03 ] Available from: https://doi.org/10.1109/CVPRW53098.2021.00096
Dissertação (Mestrado)
Two studies on Convolutional Neural Networks sensibility to resolution (2021)
Abello, Antonio Augusto; Hirata Júnior, Roberto (Orientador)
Unidade: IME
Subjects: REDES NEURAIS, VISÃO COMPUTACIONAL, IMAGEM DIGITAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ABELLO, Antonio Augusto. Two studies on Convolutional Neural Networks sensibility to resolution. 2021. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16122021-182010/. Acesso em: 03 out. 2023.
APA
Abello, A. A. (2021). Two studies on Convolutional Neural Networks sensibility to resolution (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16122021-182010/
NLM
Abello AA. Two studies on Convolutional Neural Networks sensibility to resolution [Internet]. 2021 ;[citado 2023 out. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16122021-182010/
Vancouver
Abello AA. Two studies on Convolutional Neural Networks sensibility to resolution [Internet]. 2021 ;[citado 2023 out. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16122021-182010/
Tese (Doutorado)
Hand pose estimation and movement analysis for occupational therapy (2021)
Cejnog, Luciano Walenty Xavier ; Campos, Teófilo Emídio de (coorient) ; César Júnior, Roberto Marcondes (Orientador)
Unidade: IME
Subjects: VISÃO COMPUTACIONAL, BIOMECÂNICA, GEOMETRIA COMPUTACIONAL, TERAPIA OCUPACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CEJNOG, Luciano Walenty Xavier. Hand pose estimation and movement analysis for occupational therapy. 2021. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16022022-161906/. Acesso em: 03 out. 2023.
APA
Cejnog, L. W. X. (2021). Hand pose estimation and movement analysis for occupational therapy (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16022022-161906/
NLM
Cejnog LWX. Hand pose estimation and movement analysis for occupational therapy [Internet]. 2021 ;[citado 2023 out. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16022022-161906/
Vancouver
Cejnog LWX. Hand pose estimation and movement analysis for occupational therapy [Internet]. 2021 ;[citado 2023 out. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-16022022-161906/
Trabalho de evento-resumo
GazeBar: exploiting the Midas touch in gaze interaction (2021)
Elmadjian, Carlos; Morimoto, Carlos Hitoshi
Source: Extended abstracts. Conference titles: Conference on Human Factors in Computing Systems - CHI. Unidade: IME
Subjects: INTERAÇÃO USUÁRIO-COMPUTADOR, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ELMADJIAN, Carlos e MORIMOTO, Carlos Hitoshi. GazeBar: exploiting the Midas touch in gaze interaction. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3411763.3451703. Acesso em: 03 out. 2023.
APA
Elmadjian, C., & Morimoto, C. H. (2021). GazeBar: exploiting the Midas touch in gaze interaction. In Extended abstracts. New York: ACM. doi:10.1145/3411763.3451703
NLM
Elmadjian C, Morimoto CH. GazeBar: exploiting the Midas touch in gaze interaction [Internet]. Extended abstracts. 2021 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.1145/3411763.3451703
Vancouver
Elmadjian C, Morimoto CH. GazeBar: exploiting the Midas touch in gaze interaction [Internet]. Extended abstracts. 2021 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.1145/3411763.3451703
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: 03 out. 2023.
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 2023 out. 03 ] 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 2023 out. 03 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00035
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: 03 out. 2023.
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 2023 out. 03 ] 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 2023 out. 03 ] Available from: https://doi.org/10.1109/ICSPCC52875.2021.9564442
Trabalho de evento
Eye movement classification with temporal convolutional networks (2021)
Elmadjian, Carlos; Gonzales, Candy Veronica Tenório ; Morimoto, Carlos Hitoshi
Source: Proceedings. Conference titles: International Conference on Pattern Recognition - ICPR. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, INTERAÇÃO HOMEM-MÁQUINA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ELMADJIAN, Carlos e GONZALES, Candy Veronica Tenório e MORIMOTO, Carlos Hitoshi. Eye movement classification with temporal convolutional networks. 2021, Anais.. Cham: Springer, 2021. Disponível em: https://doi.org/10.1007/978-3-030-68796-0_28. Acesso em: 03 out. 2023.
APA
Elmadjian, C., Gonzales, C. V. T., & Morimoto, C. H. (2021). Eye movement classification with temporal convolutional networks. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-68796-0_28
NLM
Elmadjian C, Gonzales CVT, Morimoto CH. Eye movement classification with temporal convolutional networks [Internet]. Proceedings. 2021 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.1007/978-3-030-68796-0_28
Vancouver
Elmadjian C, Gonzales CVT, Morimoto CH. Eye movement classification with temporal convolutional networks [Internet]. Proceedings. 2021 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.1007/978-3-030-68796-0_28
Artigo de periodico
INACITY - INvestigate and Analyze a CITY (2021)
Oliveira, Artur André Almeida de Macedo ; Hirata Júnior, Roberto
Source: SoftwareX. Unidade: IME
Subjects: SISTEMA DE INFORMAÇÃO GEOGRÁFICA, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Artur André Almeida de Macedo e HIRATA JÚNIOR, Roberto. INACITY - INvestigate and Analyze a CITY. SoftwareX, v. 15, n. artigo 100777, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.softx.2021.100777. Acesso em: 03 out. 2023.
APA
Oliveira, A. A. A. de M., & Hirata Júnior, R. (2021). INACITY - INvestigate and Analyze a CITY. SoftwareX, 15( artigo 100777), 1-8. doi:10.1016/j.softx.2021.100777
NLM
Oliveira AAA de M, Hirata Júnior R. INACITY - INvestigate and Analyze a CITY [Internet]. SoftwareX. 2021 ; 15( artigo 100777): 1-8.[citado 2023 out. 03 ] Available from: https://doi.org/10.1016/j.softx.2021.100777
Vancouver
Oliveira AAA de M, Hirata Júnior R. INACITY - INvestigate and Analyze a CITY [Internet]. SoftwareX. 2021 ; 15( artigo 100777): 1-8.[citado 2023 out. 03 ] Available from: https://doi.org/10.1016/j.softx.2021.100777
Artigo de periodico
ODIN: automated drift detection and recovery in video analytics (2020)
Suprem, Abhijit; Arulraj, Joy; Pu, Calton ; Ferreira, João Eduardo
Source: Proceedings of the VLDB Endowment. Unidade: IME
Assunto: VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SUPREM, Abhijit et al. ODIN: automated drift detection and recovery in video analytics. Proceedings of the VLDB Endowment, v. 13, n. 12, p. 2453-2465, 2020Tradução . . Disponível em: https://doi.org/10.14778/3407790.3407837. Acesso em: 03 out. 2023.
APA
Suprem, A., Arulraj, J., Pu, C., & Ferreira, J. E. (2020). ODIN: automated drift detection and recovery in video analytics. Proceedings of the VLDB Endowment, 13( 12), 2453-2465. doi:10.14778/3407790.3407837
NLM
Suprem A, Arulraj J, Pu C, Ferreira JE. ODIN: automated drift detection and recovery in video analytics [Internet]. Proceedings of the VLDB Endowment. 2020 ; 13( 12): 2453-2465.[citado 2023 out. 03 ] Available from: https://doi.org/10.14778/3407790.3407837
Vancouver
Suprem A, Arulraj J, Pu C, Ferreira JE. ODIN: automated drift detection and recovery in video analytics [Internet]. Proceedings of the VLDB Endowment. 2020 ; 13( 12): 2453-2465.[citado 2023 out. 03 ] Available from: https://doi.org/10.14778/3407790.3407837
Trabalho de evento
Deep learning for astronomical object classification: a case study (2020)
Martinazzo, Ana Carolina Rodrigues Cavalcante; Espadoto, Mateus ; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: International joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: IME
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, COMPUTAÇÃO GRÁFICA, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINAZZO, Ana Carolina Rodrigues Cavalcante e ESPADOTO, Mateus e HIRATA, Nina Sumiko Tomita. Deep learning for astronomical object classification: a case study. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0008939800870095. Acesso em: 03 out. 2023.
APA
Martinazzo, A. C. R. C., Espadoto, M., & Hirata, N. S. T. (2020). Deep learning for astronomical object classification: a case study. In Proceedings. Lisboa: SciTePress. doi:10.5220/0008939800870095
NLM
Martinazzo ACRC, Espadoto M, Hirata NST. Deep learning for astronomical object classification: a case study [Internet]. Proceedings. 2020 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.5220/0008939800870095
Vancouver
Martinazzo ACRC, Espadoto M, Hirata NST. Deep learning for astronomical object classification: a case study [Internet]. Proceedings. 2020 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.5220/0008939800870095
Trabalho de evento-anais periodico
The impact of real rain in a vision task (2020)
Araujo, Iago Breno ; Tokuda, Eric Keiji ; César Júnior, Roberto Marcondes
Source: Lecture Notes in Computer Science - LNCS. Conference titles: European Conference on Computer Vision - ECCV. Unidades: IME, IFSC
Subjects: VISÃO COMPUTACIONAL, CHUVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAUJO, Iago Breno e TOKUDA, Eric Keiji e CÉSAR JÚNIOR, Roberto Marcondes. The impact of real rain in a vision task. Lecture Notes in Computer Science - LNCS. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-030-68238-5_21. Acesso em: 03 out. 2023. , 2020
APA
Araujo, I. B., Tokuda, E. K., & César Júnior, R. M. (2020). The impact of real rain in a vision task. Lecture Notes in Computer Science - LNCS. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/978-3-030-68238-5_21
NLM
Araujo IB, Tokuda EK, César Júnior RM. The impact of real rain in a vision task [Internet]. Lecture Notes in Computer Science - LNCS. 2020 ; 12539 291-298.[citado 2023 out. 03 ] Available from: https://doi.org/10.1007/978-3-030-68238-5_21
Vancouver
Araujo IB, Tokuda EK, César Júnior RM. The impact of real rain in a vision task [Internet]. Lecture Notes in Computer Science - LNCS. 2020 ; 12539 291-298.[citado 2023 out. 03 ] Available from: https://doi.org/10.1007/978-3-030-68238-5_21
Trabalho de evento-resumo
Swipe&Switch: text entry using gaze paths and context switching (2020)
Kurauchi, Andrew Toshiaki Nakayama ; Feng, Wenxin; Joshi, Ajjen; Morimoto, Carlos Hitoshi ; Betke, Margrit
Source: Proceedings. Conference titles: Annual ACM Symposium on User Interface Software and Technology - UIST. Unidade: IME
Assunto: VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KURAUCHI, Andrew Toshiaki Nakayama et al. Swipe&Switch: text entry using gaze paths and context switching. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3379350.3416193. Acesso em: 03 out. 2023.
APA
Kurauchi, A. T. N., Feng, W., Joshi, A., Morimoto, C. H., & Betke, M. (2020). Swipe&Switch: text entry using gaze paths and context switching. In Proceedings. New York: ACM. doi:10.1145/3379350.3416193
NLM
Kurauchi ATN, Feng W, Joshi A, Morimoto CH, Betke M. Swipe&Switch: text entry using gaze paths and context switching [Internet]. Proceedings. 2020 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.1145/3379350.3416193
Vancouver
Kurauchi ATN, Feng W, Joshi A, Morimoto CH, Betke M. Swipe&Switch: text entry using gaze paths and context switching [Internet]. Proceedings. 2020 ;[citado 2023 out. 03 ] Available from: https://doi.org/10.1145/3379350.3416193
Artigo de periodico
Optimum cuts in graphs by general fuzzy connectedness with local band constraints (2020)
Braz, Caio de Moraes; Miranda, Paulo André Vechiatto de ; Ciesielski, Krzysztof Chris; Cappabianco, Fabio A. M
Source: Journal of Mathematical Imaging and Vision. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRAZ, Caio de Moraes et al. Optimum cuts in graphs by general fuzzy connectedness with local band constraints. Journal of Mathematical Imaging and Vision, v. 62, n. 5, p. 659-672, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10851-020-00953-w. Acesso em: 03 out. 2023.
APA
Braz, C. de M., Miranda, P. A. V. de, Ciesielski, K. C., & Cappabianco, F. A. M. (2020). Optimum cuts in graphs by general fuzzy connectedness with local band constraints. Journal of Mathematical Imaging and Vision, 62( 5), 659-672. doi:10.1007/s10851-020-00953-w
NLM
Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Optimum cuts in graphs by general fuzzy connectedness with local band constraints [Internet]. Journal of Mathematical Imaging and Vision. 2020 ; 62( 5): 659-672.[citado 2023 out. 03 ] Available from: https://doi.org/10.1007/s10851-020-00953-w
Vancouver
Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Optimum cuts in graphs by general fuzzy connectedness with local band constraints [Internet]. Journal of Mathematical Imaging and Vision. 2020 ; 62( 5): 659-672.[citado 2023 out. 03 ] Available from: https://doi.org/10.1007/s10851-020-00953-w

USP Schools

ReP

Filtros

Document Types

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Source title

Publisher

Conference titles

Countries/Territories

Funding Agencies

Non normalized affiliation

Countries of institutions of collaboration