Abstract: The identification and analysis of human daily activities has garnered substantial attention in recent years, driven by its expansive applications in areas including healthcare, surveillance ...

Abstract: Handwritten Optical Character Recognition (OCR) for the Tifinagh script remains a challenging task due to the script’s geometric complexity, high similarity among rotated characters, and the ...

Abstract: The rapid progress in audio synthesis technologies allows the generating of artificial audio deep-fakes that sound convincingly real, thus causing security, privacy, and authenticity ...

Abstract: Emotion recognition is essential for improving user experience and interaction quality in human-centered applications. While recent studies have leveraged both event and traditional cameras ...

Abstract: Spiking neural networks (SNNs) are one of the best practices for efficient event-driven object recognition. To achieve high recognition accuracy, existing methods generally accumulate ...

Abstract: Most existing studies on table tennis training focus on either action recognition or scoring alone, lacking a systematic way to model both tasks together, which limits the ability to provide ...

Abstract: Bronchoscopy is central to diagnosing central lung cancers but remains limited by reliance on operator expertise and variability in visual interpretation. In this work, we adapt and evaluate ...

Travel back 390 million years after the big bang to the ancient Maisie's Galaxy in this stunning 3D visualization that showcases 5000 galaxies captured by the James Webb Space Telescope. It was ...

Abstract: Audio is ever-present in our daily lives, whether it's a baby crying, an audio message, or noise. However raw audio signals are complex and often difficult to analyze directly. Spectrograms ...

His recognition of the team marked one of the few bipartisan moments of the speech, receiving lengthy, raucous applause and chants of “USA” — and proving that sports, even in a time of intense ...