Abstract: Feature selection (FS) is a critical task in data science and machine learning, presenting significant challenges in high-dimensional settings due to the complexity and noise inherent in ...

Abstract: Due to the complex underwater imaging environment, existing Underwater Image Enhancement (UIE) techniques are unable to handle the increasing demand for high-quality underwater content in ...

Abstract: Image quality assessment (IQA) plays a fundamental role in evaluating image processing. Currently, JPEG AIC specifies the IQA methods, dividing them into three levels: AIC-1, 2, and 3. AIC-1 ...

Abstract: With the development of cloud computing and big data, data security and privacy protection in multi-user environments have become particularly important. Existing encryption schemes exhibit ...

LOS ANGELES (KABC) -- Nick Reiner is charged with two counts of first-degree murder in the stabbing deaths of his parents, Hollywood actor and director Rob Reiner and his wife Michele Singer Reiner.

Abstract: This paper proposes an end-to-end video saliency prediction network model, termed TM2SP-Net (Transformer-based Multi-level Spatiotemporal Feature Pyramid Network). Leveraging the strong ...

Abstract: Deep subspace clustering methods based on autoencoder (AE) have achieved impressive performance in various applications. However, these methods often place excessive reliance on the AE ...

Abstract: Infrared and visible image fusion involves integrating complementary or critical information extracted from different source images into one image. Due to the significant differences between ...

Multi-sensor fusion is a key technology in the field of autonomous driving and robotics. Traditional offline multi-sensor fusion calibration methods rely on manual operations and fail to meet ...

Abstract: How to learn multi-scale and multi-level representations is crucial for robust tracking. However, most current one-stream structure based trackers with visual transformers (dubbed ViTs) ...