33 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
6 papers
CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction
Peter J. Bentley, Soo Ling Lim, Fuyuki Ishikawa
Large Language Model (LLM) image recognition is a powerful tool for extracting data from images, but accuracy depends on providing sufficient cues in the prompt - requiring a domai…
Scalable multi-class sampling via filtered sliced optimal transport
Corentin Salaün, Iliyan Georgiev, Hans-Peter Seidel +1
We propose a multi-class point optimization formulation based on continuous Wasserstein barycenters. Our formulation is designed to handle hundreds to thousands of optimization obj…
Reconstructing editable prismatic CAD from rounded voxel models
Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman +3
Reverse Engineering a CAD shape from other representations is an important geometric processing step for many downstream applications. In this work, we introduce a novel neural net…
COIL: Constrained Optimization in Learned Latent Space: Learning Representations for Valid Solutions
Peter J Bentley, Soo Ling Lim, Adam Gaier +1
Constrained optimization problems can be difficult because their search spaces have properties not conducive to search, e.g., multimodality, discontinuities, or deception. To addre…
Perceptual error optimization for Monte Carlo rendering
Vassillen Chizhov, Iliyan Georgiev, Karol Myszkowski +1
Synthesizing realistic images involves computing high-dimensional light-transport integrals. In practice, these integrals are numerically estimated via Monte Carlo integration. The…
Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences
Karl D. D. Willis, Yewen Pu, Jieliang Luo +5
Parametric computer-aided design (CAD) is a standard paradigm used to design manufactured objects, where a 3D shape is represented as a program supported by the CAD software. Despi…