Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...
Abstract: Rigorous and reliable alignment of narrow transceiver beams is a requisite for ensuring the highly directional transmission in millimeter-wave (mmWave) communications. Exhaustively testing ...
This repository contains the official PyTorch implementation of the paper: "CTR-Gait: Semantic-Aware Contrastive Learning for Fine-Grained Gait Emotion Recognition" (Submitted to IEEE Transactions on ...