Zero-shot age estimation aims to learn feature information about age from input images and
make inferences about a given person's image or video frame without specific sample data …

Community Search (CS) aims to identify densely interconnected subgraphs corresponding
to query vertices within a graph. However, existing heterogeneous graph-based community …

Multimodal Large Language Models (MLLMs) have recently gained immense popularity.
Powerful commercial models like ChatGPT-4V and Gemini, as well as open-source ones …

Remote sensing segmentation are widely applied in environmental protection, and urban
change detection, etc. Despite the success of deep learning-based remote sensing …

In Internet of Underwater Things (IoUT), nodes are usually deployed randomly in monitored
environments. Without any infrastructure support, neighbor discovery is the basis for fast …

Addressing the issue of seismic signal classification and recognition for natural earthquakes
and artificial blasting, a deep learning model suitable for seismic signal classification and …

Image recognition and age estimation has always been one of the important problems in
computer vision and image detection. Accurately estimating the age of face image is of great …

The detection of traffic lights and zebra crossings holds significant importance for
autonomous driving and ensuring pedestrian safety. Aiming at this issue, a Bagging …

Multimodal emotion recognition is one of the mainstream frontier directions in the field of AI,
and has potential significant application value and wide application in related application …

Multimodal emotion recognition (MER), which relies on its role in processing and analysing
comments posted on social media and identifying the corresponding target emotion states …