IEEE

A Novel Encoder–Decoder Model for Short-Term Multistep Wind Power Prediction

Abstract: Wind power has emerged as a vital renewable energy source. However, its inherent temporal variability and non-stationarity pose significant challenges for accurate forecasting. To solve this ...
Automation World

How Two-in-One Encoders Deliver Robot Accuracy

In robotics, movements must be precise and well-controlled. As robots are asked to do more as industry becomes more familiar with the technology, there will be an increasing need for high accuracy ...
GitHub

VL-JEPA: Vision-Language Joint Embedding Predictive Architecture

A PyTorch implementation of VL-JEPA from the paper "VL-JEPA: Joint Embedding Predictive Architecture for Vision-language" (arXiv:2512.10942v2). vl-jepa/ ├── src/ │ ├── model.py # Core VL-JEPA model ...
Hacker

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation

Among other things, launching AIModels.fyi ... Find the right AI model for your project - https://aimodels.fyi ...
IEEE

SEDN: A Spatiotemporal Encoder-Decoder Network for End-to-End Object Removal Forgery Detection in High-Resolution Videos

Abstract: With the growing popularity of high-resolution (HR) video and the continuous growth of network bandwidth, the challenge of object removal detection in HR videos has attracted significant ...
GitHub

Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention (CVPR 2020, Oral)

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention" published ar CVPR 2020. Satellite image time series, ...