Efficient and degradation-adaptive network for real-world image super-resolution
Efficient and effective real-world image super-resolution (Real-ISR) is a challenging task
due to the unknown complex degradation of real-world images and the limited computation …
due to the unknown complex degradation of real-world images and the limited computation …
Adaptive mixture of experts learning for generalizable face anti-spoofing
With various face presentation attacks emerging continually, face anti-spoofing (FAS)
approaches based on domain generalization (DG) have drawn growing attention. Existing …
approaches based on domain generalization (DG) have drawn growing attention. Existing …
Facial video-based remote physiological measurement via self-supervised learning
Facial video-based remote physiological measurement aims to estimate remote
photoplethysmography (rPPG) signals from human facial videos and then measure multiple …
photoplethysmography (rPPG) signals from human facial videos and then measure multiple …
Bridging component learning with degradation modelling for blind image super-resolution
Convolutional Neural Network (CNN)-based image super-resolution (SR) has exhibited
impressive success on known degraded low-resolution (LR) images. However, this type of …
impressive success on known degraded low-resolution (LR) images. However, this type of …
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm
Abstract Cardiac Syndrome X (CSX) is a very dangerous cardiovascular disease
characterized by angina-like chest discomfort and pain on effort despite normal epicardial …
characterized by angina-like chest discomfort and pain on effort despite normal epicardial …
Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution
Z Song, D Qiu, X Zhao, R Liu, Y Hui… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Cardiac magnetic resonance imaging (CMRI) super-resolution (SR) reconstruction
technology can enhance the resolution and quality of CMRI, providing experts with clearer …
technology can enhance the resolution and quality of CMRI, providing experts with clearer …
[PDF][PDF] WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal
Currently, most adverse weather removal tasks are handled independently, such as
deraining, desnowing, and dehazing. However, in autonomous driving scenarios, the type …
deraining, desnowing, and dehazing. However, in autonomous driving scenarios, the type …
Online streaming video super-resolution with convolutional look-up table
Online video streaming has fundamental limitations on the transmission bandwidth and
computational capacity and super-resolution is a promising potential solution. However …
computational capacity and super-resolution is a promising potential solution. However …
Efficient blind super-resolution imaging via adaptive degradation-aware estimation
Single image super-resolution (SISR) has achieved prominent success based on deep
learning. However, most SISR methods based on the specific degradation pattern, eg …
learning. However, most SISR methods based on the specific degradation pattern, eg …
Difficulty-Guided Variant Degradation Learning for Blind Image Super-Resolution
Recent blind super-resolution (BSR) methods are explored to handle unknown
degradations and achieve impressive performance. However, the prevailing assumption in …
degradations and achieve impressive performance. However, the prevailing assumption in …