Knowledge graphs (KGs) are important products of the semantic web, which are
widely used in various application domains. Healthcare is one of such domains
where KGs are intensively used, due to the high requirement for knowledge
accuracy and interc... read more
Efficient extraction of spectral-spatial features is essential for accurate hyperspectral image (HSI) classification, where capturing both local texture and global semantic relationships is critical. While Convolutional Neural Networks (CNNs) and Tra... read more
Median filtering is a non-linear smoothing technique widely used in digital
image processing to remove noise while retaining sharp edges. It is
particularly well suited to removing outliers (impulse noise) or granular
artifacts (speckle noise). How... read more
The ability to abstract complex 3D environments into simplified and
structured representations is crucial across various domains. 3D semantic scene
graphs (SSGs) achieve this by representing objects as nodes and their
interrelationships as edges, f... read more
We investigate LiDAR guidance within the RAFT-Stereo framework, aiming to
improve stereo matching accuracy by injecting precise LiDAR depth into the
initial disparity map. We find that the effectiveness of LiDAR guidance
drastically degrades when t... read more
Edge AI deployments are becoming increasingly complex, necessitating
energy-efficient solutions for resource-constrained embedded systems.
Approximate computing, which allows for controlled inaccuracies in
computations, is emerging as a promising a... 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
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
Theoretical studies of molecular photochemistry and photophysics are essential for understanding fundamental natural processes but rely on computationally demanding quantum chemical calculations. This complexity limits both direct simulations and the... read more
BACKGROUND: Extrinsic adenomyosis exhibits heterogeneous clinical symptoms, with pain being more commonly reported. The relationship between magnetic resonance imaging (MRI) feature and symptom remains unclear. read more
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