Video salient object detection (SOD) relies on motion cues to distinguish
salient objects from backgrounds, but training such models is limited by scarce
video datasets compared to abundant image datasets. Existing approaches that
use spatial trans... read more
Real-time embedded systems require precise timing and fault detection to
ensure correct behavior. Traditional tracing tools often rely on local desktops
with limited processing and storage capabilities, which hampers large-scale
analysis. This pape... read more
Various diseases, such as colon cancer, gastric cancer, celiac, and bleeding, pose a significant risk to the gastrointestinal (GI) tract, which serves as a fundamental component of the human body. It is less invasive to observe the inner part for dis... read more
Vision-language tracking aims to locate the target object in the video
sequence using a template patch and a language description provided in the
initial frame. To achieve robust tracking, especially in complex long-term
scenarios that reflect real... read more
This paper addresses the finite-time tracking control problem for a class of quadrotor unmanned aerial vehicle (QUAV) subject to unknown mixed faults and external disturbances. The considered mixed faults include both input quantization and actuator ... read more
Ulcerative colitis (UC) is a chronic inflammatory disorder necessitating precise severity stratification to facilitate optimal therapeutic interventions. This study harnesses a triple-pronged deep learning methodology-including multimodal inference p... read more
Cardiovascular disease (CVD) remains the leading cause of death worldwide,
requiring urgent development of effective risk assessment methods for timely
intervention. While current research has introduced non-invasive and efficient
approaches to pre... read more
Federated domain generalization has shown promising progress in image
classification by enabling collaborative training across multiple clients
without sharing raw data. However, its potential in the semantic segmentation
of autonomous driving rema... read more
Energy hubs (EHs) are considered a promising solution for multi-energy resources, providing advanced system efficiency and resilience. However, their operation is often challenged by the need for techno-economic trade-offs and the uncertainties relat... read more
Recent advances in leveraging large-scale Internet photo collections for 3D
reconstruction have enabled immersive virtual exploration of landmarks and
historic sites worldwide. However, little attention has been given to the
immersive understanding... read more
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