Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Baoqun Yin"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 3448-3472 (2024)
Dexterous grasping is essential for the fine manipulation tasks of intelligent robots; however, its application in stacking scenarios remains a challenge. In this study, we aimed to propose a two-phase approach for grasp detection of sequential robot
Externí odkaz:
https://doaj.org/article/cf2d88d0f51d4a6c9894af757f85df1a
Publikováno v:
Actuators, Vol 13, Iss 6, p 204 (2024)
Saturated nonlinear affine systems are widely encountered in many engineering fields. Currently, most control methods on saturated nonlinear affine systems are not specifically designed based on sparsity-based control methodologies, and they might re
Externí odkaz:
https://doaj.org/article/8420660bed2f4136bacaff9566cd7395
Publikováno v:
IET Computer Vision, Vol 15, Iss 1, Pp 60-72 (2021)
Abstract Crowd counting has become a noteworthy vision task due to the needs of numerous practical applications, but it remains challenging. State‐of‐the‐art methods generally estimate the density map of the crowd image with the high‐level se
Externí odkaz:
https://doaj.org/article/23aae92ae04548769bb97783124f9a2e
Publikováno v:
Neurocomputing. 533:35-45
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e0e398ebf30c66abb8f6bb5a82cc842
https://doi.org/10.1016/j.neucom.2023.02.063
https://doi.org/10.1016/j.neucom.2023.02.063
Publikováno v:
Soft Computing. 27:4987-5001
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::674b73ee79e57ef5834c1a83de6500b1
https://doi.org/10.1007/s00500-023-08026-x
https://doi.org/10.1007/s00500-023-08026-x
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:3773-3783
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c491f1abd7169ff8037d11b95b17bb5e
https://doi.org/10.1007/s13042-022-01624-5
https://doi.org/10.1007/s13042-022-01624-5
Publikováno v:
Neurocomputing. 487:157-171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff54e3234bcb8bff72405710cb86d12d
https://doi.org/10.1016/j.neucom.2022.02.060
https://doi.org/10.1016/j.neucom.2022.02.060
Publikováno v:
Neurocomputing. 459:108-121
For the CNN-based density estimation approaches in the field of crowd counting, how to generate a high-quality density map with accurate counting performance and detailed spatial description is still an open question. In this paper, to tackle the afo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb4ce0b34fe13ee8300ffcdc88b0cbcf
https://doi.org/10.1016/j.neucom.2021.06.086
https://doi.org/10.1016/j.neucom.2021.06.086
Publikováno v:
Pattern Analysis and Applications. 24:1777-1792
Crowd counting plays a significant role in crowd monitoring and management, which suffers from various challenges, especially in crowd-scale variations and background interference issues. Therefore, we propose a method named depth and edge auxiliary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19d598f6085fbb1cf3af68fce1eaca0c
https://doi.org/10.1007/s10044-021-01017-4
https://doi.org/10.1007/s10044-021-01017-4
Publikováno v:
IET Computer Vision, Vol 15, Iss 1, Pp 60-72 (2021)
Crowd counting has become a noteworthy vision task due to the needs of numerous practical applications, but it remains challenging. State‐of‐the‐art methods generally estimate the density map of the crowd image with the high‐level semantic fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::102915c20290bbc8acb1fd11a2cf4c25
https://doi.org/10.1049/cvi2.12012
https://doi.org/10.1049/cvi2.12012