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 ...
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 ...
Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
Abstract: Cross-modal 3D shape retrieval is a crucial and widely applied task in the field of 3D vision. Its goal is to construct retrieval representations capable of measuring the similarity between ...
WASHINGTON, June 16 (Reuters) - The FBI said on Tuesday it thwarted a planned attack on the ‌Ultimate Fighting Championship mixed martial arts event on the White House lawn on the weekend, taking five ...
Abstract: State Space Models (SSMs) and Graph Neural Networks (GNNs) have been demonstrated to be highly effective in visual tasks. Existing vision SSMs capture features in a focused manner through a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results