Data-efficient image quality assessment with attention-panel decoder
Abstract Blind Image Quality Assessment (BIQA) is a fundamental task in computer vision,
which however remains unresolved due to the complex distortion conditions and diversified …
which however remains unresolved due to the complex distortion conditions and diversified …
Toward a no-reference quality metric for camera-captured images
Existing no-reference (NR) image quality assessment (IQA) metrics are still not convincing
for evaluating the quality of the camera-captured images. Toward tackling this issue, we, in …
for evaluating the quality of the camera-captured images. Toward tackling this issue, we, in …
Blind quality assessment of night-time image
High-quality night-time imaging is crucial to video surveillance, automatic drive and
consumer electronics. However, different from day-time imaging, night-time imaging suffers …
consumer electronics. However, different from day-time imaging, night-time imaging suffers …
An improved extreme gradient boosting approach to vehicle speed prediction for construction simulation of earthwork
F Lv, J Wang, B Cui, J Yu, J Sun, J Zhang - Automation in construction, 2020 - Elsevier
Construction simulation is an effective tool to provide schedule plans. Vehicle speed is one
of the most significant factors in earthwork construction simulation. However, neglecting the …
of the most significant factors in earthwork construction simulation. However, neglecting the …
A general framework for building surrogate models for uncertainty quantification in computational electromagnetics
R Hu, V Monebhurrun, R Himeno… - … on Antennas and …, 2021 - ieeexplore.ieee.org
In uncertainty analysis, surrogate modeling techniques demonstrate high efficiency and
reliable precision in estimating the uncertainty for the finite difference time domain (FDTD) …
reliable precision in estimating the uncertainty for the finite difference time domain (FDTD) …
Dual order-reduced Gaussian process emulators (DORGP) for quantifying high-dimensional uncertain crack growth using limited and noisy data
C He, X Peng, C Ding - Computer Methods in Applied Mechanics and …, 2023 - Elsevier
This paper proposes a novel data driven scheme, called dual order-reduced Gaussian
Process emulators (DORGP), for efficiently quantifying the high-dimensional uncertain crack …
Process emulators (DORGP), for efficiently quantifying the high-dimensional uncertain crack …
Sensitivity analysis and robust optimization to high-dimensional uncertainties of compressors with active subspace method
Z Song, Y Wu, X Liu, J Li - Aerospace Science and Technology, 2024 - Elsevier
The performance of compressors often deviates significantly from the design value due to
the substantial geometric deviations arising from manufacturing errors and in-service …
the substantial geometric deviations arising from manufacturing errors and in-service …
UniInst: Unique representation for end-to-end instance segmentation
Existing instance segmentation methods have achieved impressive performance but still
suffer from a common dilemma: redundant representations (eg, multiple boxes, grids, and …
suffer from a common dilemma: redundant representations (eg, multiple boxes, grids, and …
Semisupervised learning-based depth estimation with semantic inference guidance
Depth estimation is a fundamental computer vision problem that infers three-dimensional
(3D) structures from a given scene. As it is an ill-posed problem, to fit the projection function …
(3D) structures from a given scene. As it is an ill-posed problem, to fit the projection function …
An efficient ssfem-pod scheme for wideband stochastic analysis of permittivity variations
KTJ Gladwin, KJ Vinoy - IEEE Transactions on Antennas and …, 2022 - ieeexplore.ieee.org
Stochastic analysis using polynomial chaos expansion (PCE)-based spectral stochastic
finite-element method (SSFEM) is computationally expensive and is impacted by the curse …
finite-element method (SSFEM) is computationally expensive and is impacted by the curse …