Untrimmed videos have interrelated events, dependencies, context, overlapping events,
object-object interactions, domain specificity, and other semantics that are worth highlighting …

Multimodal multi-label emotion recognition (MMER) is a vital yet challenging task in affective
computing. Despite significant progress in previous works, there are three limitations:(i) …

Knowledge graph is a form of data representation that uses graph structure to model the
connections between things. The intention of knowledge graph is to optimize the results …

Facial expression recognition (FER) is a hot topic in computer vision, especially as deep
learning based methods are gaining traction in this field. However, traditional convolutional …

Existing dense or paragraph video captioning approaches rely on holistic representations of
videos, possibly coupled with learned object/action representations, to condition hierarchical …

This paper introduces a video captioning model that integrates spatial and temporal feature
extraction methods to produce comprehensive textual descriptions for videos. The …

Image captioning is an important task for understanding images. Recently, many studies
have used tags to build alignments between image information and language information …

The research delves into sign language recognition from video, employing a transfer
learning approach. Established models like VGGNets, ResNets, DenseNet, Inception, and …

Modern ships have leveraged the development of IoT and AI 2.0 to integrate a vast array of
digital infrastructure and navigation-dependent operating systems, facilitating the …

A scene graph generation is a structured way of representing the image in a graphical
network and it is mostly used to describe a scene's objects and attributes and the …