Contrastive intra-and inter-modality generation for enhancing incomplete multimedia recommendation
With the rapid growth of multimedia-sharing platforms (eg Twitter and TikTok), multimedia
recommender systems have become fundamental for hel** users alleviate information …
recommender systems have become fundamental for hel** users alleviate information …
Perceptual depth quality assessment of stereoscopic omnidirectional images
W Zhou, Z Wang - IEEE Transactions on Circuits and Systems …, 2024 - ieeexplore.ieee.org
Depth perception plays an essential role in the viewer experience for immersive virtual
reality (VR) visual environments. However, previous research investigations in the depth …
reality (VR) visual environments. However, previous research investigations in the depth …
Dynamical Attention Hypergraph Convolutional Network for Group Activity Recognition
Recently, group activity recognition (GAR) has drawn growing interests in video analysis
and computer vision communities. The current models of GAR tasks are often impractical in …
and computer vision communities. The current models of GAR tasks are often impractical in …
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
Panoramic videos have the advantage of providing an immersive and interactive viewing
experience. Nevertheless their spherical nature gives rise to various and uncertain user …
experience. Nevertheless their spherical nature gives rise to various and uncertain user …
Dual-view hypergraph attention network for news recommendation
News Recommendation (NR) helps users to quickly find their mostly interested information.
Recently, some NR systems based on graph neural networks has achieved significant …
Recently, some NR systems based on graph neural networks has achieved significant …
Signal feature extract based on dual-channel wavelet convolutional network mixed with hypergraph convolutional network for fault diagnosis
Graph neural networks demonstrate effectiveness in fault diagnosis (FD) due to their
capability to handle complex dependencies and nonlinear map**s. However, current …
capability to handle complex dependencies and nonlinear map**s. However, current …
PW-360IQA: Perceptually-weighted multichannel cnn for blind 360-degree image quality assessment
A Sendjasni, MC Larabi - Sensors, 2023 - mdpi.com
Image quality assessment of 360-degree images is still in its early stages, especially when it
comes to solutions that rely on machine learning. There are many challenges to be …
comes to solutions that rely on machine learning. There are many challenges to be …