3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.CY2023★ 3 cited
Generative agents in the streets: Exploring the use of Large Language Models (LLMs) in collecting urban perceptions
Deepank Verma, Olaf Mumm, Vanessa Miriam Carlow
Evaluating the surroundings to gain understanding, frame perspectives, and anticipate behavioral reactions is an inherent human trait. However, these continuous encounters are dive…
cs.CY2022
FoldingNet Autoencoder model to create a geospatial grouping of CityGML building dataset
Deepank Verma, Olaf Mumm, Vanessa Miriam Carlow
Explainable numerical representations or latent information of otherwise complex datasets are more convenient to analyze and study. These representations assist in identifying clus…
cs.CY2019
LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai
Deepank Verma, Arnab Jana
The satellite imagery classification task is fundamental to spatial knowledge discovery. Several image classification methods are used to create standardized Land use and Land cove…