2 citations · 2 across the 4 of their papers we have counts for
4 papers
CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval
Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles +2
The advent of text-image models, most notably CLIP, has significantly transformed the landscape of information retrieval. These models enable the fusion of various modalities, such…
RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery
Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles +2
Data exploration and analysis in various domains often necessitate the search for specific objects in massive databases. A common search strategy, often known as search-by-classifi…
End-to-End Neural Network Training for Hyperbox-Based Classification
Denis Mayr Lima Martins, Christian Lülf, Fabian Gieseke
Hyperbox-based classification has been seen as a promising technique in which decisions on the data are represented as a series of orthogonal, multidimensional boxes (i.e., hyperbo…
Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests
Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles +2
The vast amounts of data collected in various domains pose great challenges to modern data exploration and analysis. To find "interesting" objects in large databases, users typical…