IEEE

Reconnecting the 30-Year Timeline (1992–2023): Constructing a Consistent Global 500-m NTL Dataset Using Super-Resolution Reconstruction and Ground-Object Feature Constraints

Abstract: Nighttime light (NTL) data provides an excellent opportunity for continuous spatiotemporal monitoring of global urbanization. However, in the two extensively employed NTL datasets [defense ...
IEEE

Semantic Analysis System to Recognize Moving Objects by Using a Deep Learning Model

Abstract: This study focuses on enhancing the accuracy and efficiency of semantic analysis systems for recognizing moving objects within video sequences. The primary aim is to improve object detection ...

Beyond polymers: New state-of-the-art 3D micro and nanofabrication technique overcomes material limitations

Building things so small that they are smaller than the width of a human hair was previously achieved by using a method ...
GitHub

DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion Models (ICCV 2025)

This is the official code for the paper "DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion Models". Otherwise, you can use open-source image-to-video models such as ...