IEEE

A Multi-Task End-to-End Multivariate Long-Sequence Time Series Prediction Model for Load Forecasting

Abstract: With the increasing complexity of the power system, and the growing global demand for electricity, accurate and effective forecasting of electricity load, electricity prices, and related ...
GitHub

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints

DETRPose is the first real-time end-to-end transformer model for multi-person pose estimation, achieving outstanding results on the COCO and CrowdPose datasets. In this work, we propose a new ...
IEEE

End-to-End Learning of Beam Probing and RSSI-Based Multi-User Hybrid Precoding Design

Abstract: This paper presents an end-to-end (E2E) autoencoder learning framework that relies on unsupervised deep learning for the joint design of millimeter wave (mmWave) probing beams and hybrid ...