Machine/deep learning methodologies for multimedia

Abusive activity detection with multi-modality based on convolutional neural network

Lyapunov-driven deep reinforcement learning for edge inference empowered by Reconfigurable Intelligent Surfaces

MRML: Multimodal Rumor Detection by Deep Metric Learning

IMPROVING THE MODALITY REPRESENTATION WITH MULTI-VIEW CONTRASTIVE LEARNING FOR MULTIMODAL SENTIMENT ANALYSIS

Generative Model Based Highly Efficient Semantic Communication Approach for Image Transmission

TOWARDS EXPLAINABLE RECOMMENDATION VIA BERT-GUIDED EXPLANATION GENERATOR

VarietySound: Timbre-Controllable Video to Sound Generation via Unsupervised Information Disentanglement

Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech

SEMGEO: SEMANTIC KEYWORDS FOR CROSS-VIEW IMAGE GEO-LOCALIZATION

A DATABASE FOR MULTI-MODAL SHORT VIDEO QUALITY ASSESSMENT

Deep probabilistic model for lossless scalable point cloud attribute compression

Multi-view Graph Regularized Deep Autoencoder-like NMF Framework