2 papers
cs.CV2025
Radar2Shape: 3D Shape Reconstruction from High-Frequency Radar using Multiresolution Signed Distance Functions
Neel Sortur, Justin Goodwin, Purvik Patel +4
Determining the shape of 3D objects from high-frequency radar signals is analytically complex but critical for commercial and aerospace applications. Previous deep learning methods…
cs.LG2025
Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining
Nathan Vaska, Justin Goodwin, Robin Walters +1
Meshes are used to represent complex objects in high fidelity physics simulators across a variety of domains, such as radar sensing and aerodynamics. There is growing interest in u…