Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Yuanqi Su"'
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 393-408 (2024)
From the perspective of artificial intelligence evaluation, the need to discover and explain the potential shortness of the evaluated intelligent algorithms/systems as well as the need to evaluate the intelligence level of such testees are of equal i
Externí odkaz:
https://doaj.org/article/148ea933199a41a9970d4e1bb09f28f0
Publikováno v:
Frontiers in Physics, Vol 11 (2024)
Emergency disposal is a critical aspect for railway stations to ensure safety. This requires the implementation of emergency plan simulations and cost-effective immersive drills. In the paper, we incorporate a set of disposals for events into emergen
Externí odkaz:
https://doaj.org/article/0532b95472d8456faf98aca50c3e6439
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3845 (2020)
The combination of active contour models (ACMs) for both contour and salient object detection is an attractive approach for researchers in image segmentation. Existing active contour models fail when improper initialization is performed. We propose a
Externí odkaz:
https://doaj.org/article/6b71286dc7ce49f7822e2a99fb0b46e3
Autor:
Jinxi Peng, Yuanqi Su Yuanqi Su, Xiaorong Xue Xiaorong Xue, Donghong Song Donghong Song, Zhengbo Xie Zhengbo Xie, Xiaoyong Xue Xiaoyong Xue, Wenlong Fan
Publikováno v:
Fourteenth International Conference on Digital Image Processing (ICDIP 2022).
Autor:
Yuanqi Sun, Di Cao, Jay J. Pillai, Adrian Paez, Yinghao Li, Chunming Gu, Jacob M. Pogson, Linda Knutsson, Peter B. Barker, Peter C. M. van Zijl, Arnold Bakker, Bryan K. Ward, Jun Hua
Publikováno v:
Fluids and Barriers of the CNS, Vol 21, Iss 1, Pp 1-15 (2024)
Abstract Background Pathways for intravenously administered gadolinium-based-contrast-agents (GBCAs) entering cerebrospinal-fluid (CSF) circulation in the human brain are not well-understood. The blood-CSF-barrier (BCSFB) in choroid-plexus (CP) has l
Externí odkaz:
https://doaj.org/article/b61dc9f79bed46669f77f673bd233e98
Publikováno v:
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Publikováno v:
ICRA
Traditional convolution for capturing local structures and relationships remains a key technical limit in 3D semantic segmentation, which neglects the certain influence of the adjacent points on the central point in the disordered local point clouds.
Publikováno v:
ISCID
To take the advantages of a variety of remote sensing data, the application of remote sensing image change detection is a very important choice. Remote sensing image change detection is large in computing capacity and time-consuming, and with the dev
Publikováno v:
ICCPR
With increasing hardware computing power and model capacity, visual tasks for scene cognitive understanding have attracted more attention, such as visual relationships inference. The scene graph representation formed by a coupling of objects, attribu