Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Lubin Fan"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:3438-3450
There is an increasing demand for interior design and decorating. The main challenges are where to put the objects and how to put them plausibly in the given domain. In this article, we propose an automatic method for decorating the planes in a given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9624bf03c2d7fd2f6e06b0588dfd255e
https://doi.org/10.1109/tvcg.2020.2972897
https://doi.org/10.1109/tvcg.2020.2972897
Publikováno v:
Journal of Computer Science and Technology. 35:592-602
With the recent tremendous advances of computer graphics rendering and image editing technologies, computergenerated fake images, which in general do not reflect what happens in the reality, can now easily deceive the inspection of human visual syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba87177a695903cef3f57ef31863f1f8
https://doi.org/10.1007/s11390-020-0216-9
https://doi.org/10.1007/s11390-020-0216-9
Monocular 3D object detection is an essential task in autonomous driving. However, most current methods consider each 3D object in the scene as an independent training sample, while ignoring their inherent geometric relations, thus inevitably resulti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5db64d41ad2d4e970e26ccfc5cf83a4
We propose a novel and flexible roof modeling approach that can be used for constructing planar 3D polygon roof meshes. Our method uses a graph structure to encode roof topology and enforces the roof validity by optimizing a simple but effective plan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0b0022824b07b7b0edfa47f72539332
http://arxiv.org/abs/2109.07683
http://arxiv.org/abs/2109.07683
Publikováno v:
Computers, Environment and Urban Systems. 96:101853
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f943801e04bcd22c6c535671d04362c2
https://doi.org/10.1016/j.compenvurbsys.2022.101853
https://doi.org/10.1016/j.compenvurbsys.2022.101853
Publikováno v:
IJCAI
Low-light image enhancement exhibits an ill-posed nature, as a given image may have many enhanced versions, yet recent studies focus on building a deterministic mapping from input to an enhanced version. In contrast, we propose a lightweight one-path
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be4ea9f794cd7a9c42c660a07e97249d
https://doi.org/10.24963/ijcai.2021/140
https://doi.org/10.24963/ijcai.2021/140
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 30
Fitting ellipses from unrecognized data is a fundamental problem in computer vision and pattern recognition. Classic least-squares based methods are sensitive to outliers. To address this problem, in this paper, we present a novel and effective metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c028253dc3d45d5a68e889cf95206dfe
https://pubmed.ncbi.nlm.nih.gov/33735080
https://pubmed.ncbi.nlm.nih.gov/33735080
Publikováno v:
Computers & Industrial Engineering. 125:649-657
This paper studies the quay crane scheduling problem (QCSP) from two aspects: the task dispatch and quantity configuration of quay cranes. Quay crane task dispatch problem is mainly concerned with the study of handling sequence of quay cranes, while
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0fdc4c121425aed7fe1a130c08c65b3
https://doi.org/10.1016/j.cie.2018.05.004
https://doi.org/10.1016/j.cie.2018.05.004
Publikováno v:
Computer Graphics Forum. 37:511-521
This work was supported by the KAUST Office of Sponsored Research (OSR) under Award No. OCRF-2014-CGR3-62140401, and the Visual Computing Center at KAUST. Ligang Liu is supported by the National Natural Science Foundation of China (61672482, 61672481
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52dff094dc1eee55b8de7cfd8fe5eefb
https://doi.org/10.1111/cgf.13380
https://doi.org/10.1111/cgf.13380
Publikováno v:
Graphical Models. 116:101110
Detecting ellipses from images is a fundamental task in many computer vision applications. However, due to the complexity of real-world scenarios, it is still a challenge to detect ellipses accurately and efficiently. In this paper, we propose a nove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5da77ac689484cb574a1e4e148c8f315
https://doi.org/10.1016/j.gmod.2021.101110
https://doi.org/10.1016/j.gmod.2021.101110