John Freeman takes photography to an extreme resolution – literally. Learn how he creates gigapixel-level detailed photos that make their way to massive wall murals.

[2025/11/10] We have released DeepEyesV2, an agentic multimodal model, which combine code execution and search together. See DeepEyesV2 for more information. We use Qwen-2.5-VL-7B-Instruct as our ...

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This study addresses the challenges of uncertainty in wave simulations within complex and dynamic ocean environments by proposing a reinforcement learning-based model ensemble algorithm. The algorithm ...

A curated list of machine learning papers, codes, libraries, and databases applied to fluid mechanics. This list is not comprehensive; if something is missing, please feel free to add it while ...

Underwater image super-resolution is vital for enhancing the clarity and detail of underwater imagery, enabling improved analysis, navigation, and exploration in underwater environments where visual ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Building nanostructures one-by-one requires precise control of single molecules over ...

Visual short-term memory (VSTM) is the ability to actively maintain visual information for a short period of time. Classical models posit that VSTM is achieved via persistent firing of neurons in ...

Abstract: Deep Learning (DL) has become prevalent in today's image processing research due to its power and versatility. It has dominated the Single Image Super-Resolution (SISR) field with its ...

Deep reinforcement learning was employed to optimize chemical reactions. Our model iteratively records the results of a chemical reaction and chooses new experimental conditions to improve the ...