Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Zhangjin Huang"'
Publikováno v:
Computers & Graphics. 102:592-600
Instance segmentation is an essential part of image semantic understanding. In this paper we propose a novel cascade framework for instance segmentation. Unlike some existing methods that only output contour discrete coordinates, our approach obtains
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c4dac2fd9a1e42e82020b03ecee857d
https://doi.org/10.1016/j.cag.2021.08.022
https://doi.org/10.1016/j.cag.2021.08.022
Publikováno v:
2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6571fe2f3374b286e0cb1992b060bb96
https://doi.org/10.1109/saner56733.2023.00016
https://doi.org/10.1109/saner56733.2023.00016
Autor:
Diponkor Bala, Md. Shamim Hossain, Mohammad Alamgir Hossain, Md. Ibrahim Abdullah, Md. Mizanur Rahman, Balachandran Manavalan, Naijie Gu, Mohammad S. Islam, Zhangjin Huang
The monkeypox virus poses a new pandemic threat while we are still recovering from COVID-19. Despite the fact that monkeypox is not as lethal and contagious as COVID-19, new patient cases are recorded every day. If preparations are not made, a global
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a84afa2ba77de011b7761e54a760593
https://hdl.handle.net/10453/167388
https://hdl.handle.net/10453/167388
Publikováno v:
Journal of Intelligent Manufacturing. 34:1601-1614
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08901378f7470601c6cb479847e64c56
https://doi.org/10.1007/s10845-021-01870-4
https://doi.org/10.1007/s10845-021-01870-4
Publikováno v:
The Visual Computer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a489528e6f1a19e6644fa83d07f685e7
https://doi.org/10.1007/s00371-022-02677-x
https://doi.org/10.1007/s00371-022-02677-x
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 31
This paper presents 6D-ViT, a transformer-based instance representation learning network, which is suitable for highly accurate category-level object pose estimation on RGB-D images. Specifically, a novel two-stream encoder-decoder framework is dedic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3296a91e5301465bcd202f798a224735
https://pubmed.ncbi.nlm.nih.gov/36315551
https://pubmed.ncbi.nlm.nih.gov/36315551
Publikováno v:
Computers & Graphics. 97:139-147
Deep learning methods for 6D object pose estimation based on RGB and depth (RGB-D) images have been successfully applied to robotic manipulation and grasping. Among these approaches, the fusion of RGB and depth modalities is one of the most critical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebcdf233e1af701a3b0a968f257eeaa4
https://doi.org/10.1016/j.cag.2021.04.018
https://doi.org/10.1016/j.cag.2021.04.018
Publikováno v:
Computational Visual Media. 7:437-452
Face views are particularly important in person-to-person communication. Differenes between the camera location and the face orientation can result in undesirable facial appearances of the participants during video conferencing. This phenomenon is pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b4e1fd2ed2c878637781bc727bf5f97
https://doi.org/10.1007/s41095-021-0215-y
https://doi.org/10.1007/s41095-021-0215-y
Publikováno v:
Computers & Graphics. 95:115-122
3D human pose estimation from 2D detections is an ill-posed problem because multiple solutions may exist due to the inherent ambiguity and occlusion. In this paper, we propose a novel graph-based mixture density network (GMDN) to tackle the 2D-to-3D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc20e40cb69898c9bdbac5ba50ef7b28
https://doi.org/10.1016/j.cag.2021.01.010
https://doi.org/10.1016/j.cag.2021.01.010
Publikováno v:
Journal of Computer Science and Technology. 36:434-444
In order to conduct optical neurophysiology experiments on a freely swimming zebrafish, it is essential to quantify the zebrafish head to determine exact lighting positions. To efficiently quantify a zebrafish head's behaviors with limited resources,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::279d0bbc13e99ff12340704db8a44922
https://doi.org/10.1007/s11390-021-9599-5
https://doi.org/10.1007/s11390-021-9599-5