most citedDASS: Detail Aware Sketch-Based Surface Modeling

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.GR2023

Geo-Sketcher: Rapid 3D Geological Modeling using Geological and Topographic Map Sketches

Ronan Amorim, Emilio Vital Brazil, Faramarz Samavati +1

The construction of 3D geological models is an essential task in oil/gas exploration, development and production. However, it is a cumbersome, time-consuming and error-prone task m…

cs.HC2023

Retrospective End-User Walkthrough: A Method for Assessing How People Combine Multiple AI Models in Decision-Making Systems

Vagner Figueredo de Santana, Larissa Monteiro Da Fonseca Galeno, Emilio Vital Brazil +2

Evaluating human-AI decision-making systems is an emerging challenge as new ways of combining multiple AI models towards a specific goal are proposed every day. As humans interact…

cs.LG20231 cited

Position Paper on Dataset Engineering to Accelerate Science

Emilio Vital Brazil, Eduardo Soares, Lucas Villa Real +4

Data is a critical element in any discovery process. In the last decades, we observed exponential growth in the volume of available data and the technology to manipulate it. Howeve…

cs.AI2023

Knowledge-augmented Risk Assessment (KaRA): a hybrid-intelligence framework for supporting knowledge-intensive risk assessment of prospect candidates

Carlos Raoni Mendes, Emilio Vital Brazil, Vinicius Segura +1

Evaluating the potential of a prospective candidate is a common task in multiple decision-making processes in different industries. We refer to a prospect as something or someone t…

cs.GR20141 cited

DASS: Detail Aware Sketch-Based Surface Modeling

Emilio Vital Brazil

We present a sketch-based modeling system suitable for detail editing, based on a multilevel representation for surfaces. The main advantage of this representation allowing for the…