Domain Adaptation Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans
The paper presents the DEF-AI-MIA COV19D Competition which is organized in the
framework of the'Domain adaptation Explainability Fairness in AI for Medical Image Analysis …
framework of the'Domain adaptation Explainability Fairness in AI for Medical Image Analysis …
Soft object deformation monitoring and learning for model-based robotic hand manipulation
AM Cretu, P Payeur, EM Petriu - IEEE Transactions on Systems …, 2011 - ieeexplore.ieee.org
This paper discusses the design and implementation of a framework that automatically
extracts and monitors the shape deformations of soft objects from a video sequence and …
extracts and monitors the shape deformations of soft objects from a video sequence and …
Biogeography based optimization method for robust visual object tracking
SA Daneshyar, NM Charkari - Applied Soft Computing, 2022 - Elsevier
Moving object tracking is one of the applied fields in artificial intelligence and robotic. The
main objective of object tracking is to detect and locate targets in video frames of real …
main objective of object tracking is to detect and locate targets in video frames of real …
Bottom-up spatiotemporal visual attention model for video analysis
The human visual system (HVS) has the ability to fixate quickly on the most informative
(salient) regions of a scene and therefore reducing the inherent visual uncertainty …
(salient) regions of a scene and therefore reducing the inherent visual uncertainty …
Leaf segmentation and tracking using probabilistic parametric active contours
J De Vylder, D Ochoa, W Philips, L Chaerle… - … , France, October 10-11 …, 2011 - Springer
Active contours or snakes are widely used for segmentation and tracking. These techniques
require the minimization of an energy function, which is generally a linear combination of a …
require the minimization of an energy function, which is generally a linear combination of a …
一种新的运动检测及轮廓追踪方法
常魁， 姜澄宇， 王宁生 - 武汉大学学报(信息科学版), 2005 - ch.whu.edu.cn
构建了基于块区域二阶矩比的三帧差分运动检测模型, 应用文献1 中的核密度估计模型来滤除
其中的非运动区域, 并采用支持向量聚类实现多目标检测. 给出了运动物体轮廓快速追踪的RW …
其中的非运动区域, 并采用支持向量聚类实现多目标检测. 给出了运动物体轮廓快速追踪的RW …
Traffic signal light control system and method
HH Wall III - US Patent 7,689,347, 2010 - Google Patents
The present invention provides a method or process for controlling the movement of a first
object in a first lane so that it does not collide with a second object moving in a second lane …
object in a first lane so that it does not collide with a second object moving in a second lane …
Subsurface boundary geometry modeling: Applying computational physics, computer vision, and signal processing techniques to geoscience
R Leung - IEEE Access, 2019 - ieeexplore.ieee.org
This paper describes an interdisciplinary approach to geometry modeling of geospatial
boundaries. The objective is to extract surfaces from irregular spatial patterns using …
boundaries. The objective is to extract surfaces from irregular spatial patterns using …
考虑温度对漏电流功耗影响的MPSoC 结构级热分析方法
闫佳琪， 骆祖莹， 唐亮， 赵国兴 - 计算机辅助设计与图形学学报, 2013 - jcad.cn
为了更高效地实现多核片上系统(MPSoC) 温敏布图设计和实时功耗温度管理,
采用自下而上的建模方法, 提出MPSoC 结构级热分析方法. 首先采用HotSpot …
采用自下而上的建模方法, 提出MPSoC 结构级热分析方法. 首先采用HotSpot …
A blog personality recommender system based on cloud computing infrastructure
J Jiang, W Pang, Y Deng, K He… - 2012 International Joint …, 2012 - ieeexplore.ieee.org
Blog is an important carrier of the current network information, and it has quick update, high
quality and personalized characteristic. However, as the number of blogs increase sharply, it …
quality and personalized characteristic. However, as the number of blogs increase sharply, it …