GitHub

Z3D: Zero-Shot 3D Visual Grounding from Images

This repository contains an implementation of Z3D, a zero-shot method for 3d visual grounding introduced in our paper: You also need to run a vLLM server to host the ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
IEEE

MSALNet: Capturing Contextual Relationships for Monocular 3D Visual Grounding

Abstract: Monocular 3D Visual Grounding (Mono3DVG) aims to predict the 3D localization of objects in monocular RGB images based on natural language descriptions. This task has broad applications in ...