Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Lile Cai"'
Autor:
Lile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang, Lining Zhang, Chuan-Sheng Foo
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c0362bd85f8a57b666f2a44b7c251df
https://doi.org/10.1109/icip46576.2022.9897842
https://doi.org/10.1109/icip46576.2022.9897842
Publikováno v:
IEEE Transactions on Image Processing. 30:8702-8712
State-of-the-art methods for semantic segmentation are based on deep neural networks trained on large-scale labeled datasets. Acquiring such datasets would incur large annotation costs, especially for dense pixel-level prediction tasks like semantic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::359c126cb66086fca69d94dba5c9080a
https://doi.org/10.1109/tip.2021.3120041
https://doi.org/10.1109/tip.2021.3120041
Publikováno v:
Industrial & Engineering Chemistry Research. 58:22427-22439
High-speed rotating equipment can be used in the devolatilization of high-viscosity polymer fluids, where the surface renewal is regarded as an important factor on mass transfer. In this work, base...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc5456b37ed99210cdc1801e3860a504
https://doi.org/10.1021/acs.iecr.9b04649
https://doi.org/10.1021/acs.iecr.9b04649
Publikováno v:
CVPR
State-of-the-art methods for semantic segmentation are based on deep neural networks that are known to be data-hungry. Region-based active learning has shown to be a promising method for reducing data annotation costs. A key design choice for region-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e38a1a376c255e994a12391953cbbd93
https://doi.org/10.1109/cvpr46437.2021.01084
https://doi.org/10.1109/cvpr46437.2021.01084
Publikováno v:
Industrial & Engineering Chemistry Research. 57:15924-15934
An accurate mass transfer model is required to calculate the diffusion coefficient in polymers to describe the mass transfer of volatiles in process intensification, especially in the devolatilization units. However, the diffusion coefficient actuall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b3af1ec14b95271841a049a9159e1c9
https://doi.org/10.1021/acs.iecr.8b03966
https://doi.org/10.1021/acs.iecr.8b03966
Autor:
Zhe Wang, Chuan-Sheng Foo, Lile Cai, Bin Zhao, Vijay Chandrasekhar, Jie Lin, Mohamed M. Sabry Aly
Publikováno v:
CVPR
Modern convolutional object detectors have improved the detection accuracy significantly, which in turn inspired the development of dedicated hardware accelerators to achieve real-time performance by exploiting inherent parallelism in the algorithm.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8bb8bfdff811ed2b51b2d94b15035b7
https://doi.org/10.1109/cvpr.2019.00958
https://doi.org/10.1109/cvpr.2019.00958
Publikováno v:
The Visual Computer. 33:163-177
Multidimensional transfer functions can perform more sophisticated classification of volumetric objects compared to 1-D transfer functions. However, visualizing and manipulating the transfer function space is non-intuitive when its dimension goes bey
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c5c567e064dbf3bce82a507c821a63d
https://doi.org/10.1007/s00371-015-1167-y
https://doi.org/10.1007/s00371-015-1167-y
Publikováno v:
Computer Graphics Forum. 34:121-130
In volume visualization, transfer functions are used to classify the volumetric data and assign optical properties to the voxels. In general, transfer functions are generated in a transfer function space, which is the feature space constructed by dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f7959e754cd33553c872161945fc3e7
https://doi.org/10.1111/cgf.12624
https://doi.org/10.1111/cgf.12624
Autor:
Jie Lin, Chuan-Sheng Foo, Arthur Herbout, Lile Cai, Anne-Maelle Barneche, Vijay Chandrasekhar, Mohamed M. Sabry Aly
Publikováno v:
ISLPED
Embedded deep learning platforms have witnessed two simultaneous improvements. First, the accuracy of convolutional neural networks (CNNs) has been significantly improved through the use of automated neural-architecture search (NAS) algorithms to det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e0d72db6a05c2800afdbfb118996167
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 37(7-8)
Transfer functions play a key role in volume rendering of medical data, but transfer function manipulation is unintuitive and can be time-consuming; achieving an optimal visualization of patient anatomy or pathology is difficult. To overcome this pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::759186819763dd2346bffc6b3b620214
https://pubmed.ncbi.nlm.nih.gov/24070670
https://pubmed.ncbi.nlm.nih.gov/24070670