58 citations · 59 across the 5 of their papers we have counts for
5 papers
Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations
Jiangye Yuan, Gowri Kumar, Baoyuan Wang
While Multimodal Large Language Models (MLLMs) have achieved remarkable success in 2D visual understanding, their ability to reason about 3D space remains limited. To address this…
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States
Hsiuhan Lexie Yang, Jiangye Yuan, Dalton Lunga +3
Establishing up-to-date large scale building maps is essential to understand urban dynamics, such as estimating population, urban planning and many other applications. Although man…
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches
Dalton Lunga, Lexie Yang, Budhendra Bhaduri
Very large overhead imagery associated with ground truth maps has the potential to generate billions of training image patches for machine learning algorithms. However, random samp…
Automatic Building Extraction in Aerial Scenes Using Convolutional Networks
Jiangye Yuan
Automatic building extraction from aerial and satellite imagery is highly challenging due to extremely large variations of building appearances. To attack this problem, we design a…
Combining Maps and Street Level Images for Building Height and Facade Estimation
Jiangye Yuan, Anil M. Cheriyadat
We propose a method that integrates two widely available data sources, building footprints from 2D maps and street level images, to derive valuable information that is generally di…