IEEE

Computational Guidance Using Model Predictive Static Programming for Challenging Space Missions: An Introductory Tutorial with Example Scenarios

Abstract: Several essential services, such as cellular phones, the Internet, television, navigation, weather prediction, and remote sensing, rely on satellites in low-Earth orbits, the technology for ...
IEEE

Physical Simulation Layer for Accurate 3D Modeling

Abstract: We introduce a novel approach for generative 3D modeling that explicitly encourages the physical and thus functional consistency of the generated shapes. To this end, we advocate the use of ...
GitHub

Point-BERT: Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

This repository contains PyTorch implementation for Point-BERT:Pre-Training 3D Point Cloud Transformers with Masked Point Modeling (CVPR 2022). Point-BERT is a new paradigm for learning Transformers ...
GitHub

WGAST: Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion

WGAST (Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion) is a novel deep learning framework for spatio-temporal fusion of satellite ...