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Abstract The rising complexity of urban areas, along with growing public safety needs, has made intelligent video surveillance systems more essential. The current surveillance systems that rely on human observation and p...

Full self-attention in video diffusion transformers scales quadratically with the spatio-temporal token count, making processing high-resolution video generation prohibitively slow and memory-intensive. We introduce NABL...

Complex interactions between seawater and freshwater govern intrusion and stabilization in coastal aquifers. Previous studies have primarily relied on interface-based analyses, limiting full-field spatial quantification ...

Spark detection in distribution line videos remains challenging due to weak visual saliency, multi-scale variation, and complex environmental interference. To address these issues, this paper presents an enhanced Swin Tr...

Abstract Actions are the building blocks of our dynamic visual world, yet the neural computations supporting action perception are not well understood. How does perceptual and conceptual information unfold in the brain w...

Maintaining proper posture during exercise is crucial for preventing injuries and maximizing workout efficiency. This project aims to develop a real-time posture monitoring system using MediaPipe and OpenCV to provide in...

On-site monitoring of iron oxide (FeO) content is crucial for ensuring product quality in the steel sintering process. However, the harsh sintering environment, characterized by nonperiodicity, high dust levels, heavy sm...