Abstract: This paper presents a novel approach incorporating Facial Expression Recognition (FER) to improve emotional and contextual understanding in Vision-Language Pretraining (VLP) model-generated ...
Hierarchical Cross-Modal Image Generation for Multimodal Biometric Recognition With Missing Modality
Abstract: Multimodal biometric recognition has shown great potential in identity authentication tasks and has attracted increasing interest recently. Currently, most existing multimodal biometric ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but also to track protesters, current and former officials said. By Sheera ...
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