In this paper, we introduce GraphDAE-PU, a novel framework for point cloud upsampling that addresses the challenges associated with arbitrary-scale point cloud upsampling. Our approach integrates ...

The principle of reconstruction methods is to capture anomalous nodes based on data reconstruction errors. However, existing reconstruction methods are limited to a single scale reconstruction of ...

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

BERT, or Bidirectional Encoder Representations from Transformers, is a deep learning model developed by Google that processes language in both directions (left-to-right and right-to-left) ...

Without the connection of powerful cloud server and massive users, large-scale WiFi sensing is still difficult ... and perform sensing tasks simultaneously. A quantized auto-encoder and a joint ...

Akamai will show its range of cloud-based media delivery, computing, and security capabilities at the 2025 NAB Show in Las ...

Accurate crop yield prediction is critical for global food security, economic planning, and insurance modeling. Traditional ...

Amazon Spring Sale: Best tech deals so ...