Searcharxiv⌕ Search

arXiv subjects

Alexey Morozov

Publications and source records attributed to Alexey Morozov.

2 recordsLinked to original sources

CDBM: Complexity-Diversity Framework for Building Morphology Analysis

We introduce Complexity-Diversity Building Metrics (CDBM), twelve interpretable descriptors for building massings represented as vertical extrusions. They measure how strongly geometric detail is expressed (complexity) and how unevenly it varies across one- and two-dimensional elements (diversity). Computed for 482,241,306 OpenStreetMap buildings and compared with 3D Building Metrics (3DBM) and the LION shape latent on task-specific samples, CDBM is tested on function, region, contextual relevance, real-generated discrimination, human preference and geometry-conditioned generation. With gradient boosting, CDBM best separates generated from mapped massings and best matches human preference; with logistic regression it matches 3DBM on realism. 3DBM leads on the other three tasks. As generation targets, the descriptors show that models struggle to produce strongly expressed and heterogeneous forms. CDBM complements existing indicators.

cs.CV↗

A Comparative Evaluation of Visual and Natural Language Question Answering Over Linked Data

With the growing number and size of Linked Data datasets, it is crucial to make the data accessible and useful for users without knowledge of formal query languages. Two approaches towards this goal are knowledge graph visualization and natural language interfaces. Here, we investigate specifically question answering (QA) over Linked Data by comparing a diagrammatic visual approach with existing natural language-based systems. Given a QA benchmark (QALD7), we evaluate a visual method which is based on iteratively creating diagrams until the answer is found, against four QA systems that have natural language queries as input. Besides other benefits, the visual approach provides higher performance, but also requires more manual input. The results indicate that the methods can be used complementary, and that such a combination has a large positive impact on QA performance, and also facilitates additional features such as data exploration.

cs.IR↗