184 citations · 568 across the 28 of their papers we have counts for
4 papers · 1 filter
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes
Albert Matveev, Ruslan Rakhimov, Alexey Artemov +6
We propose Deep Estimators of Features (DEFs), a learning-based framework for predicting sharp geometric features in sampled 3D shapes. Differently from existing data-driven method…
Robust & Asymptotically Locally Optimal UAV-Trajectory Generation Based on Spline Subdivision
Ruiqi Ni, Teseo Schneider, Daniele Panozzo +2
Generating locally optimal UAV-trajectories is challenging due to the non-convex constraints of collision avoidance and actuation limits. We present the first local, optimization-b…
A Large Scale Benchmark and an Inclusion-Based Algorithm for Continuous Collision Detection
Bolun Wang, Zachary Ferguson, Teseo Schneider +3
We introduce a large scale benchmark for continuous collision detection (CCD) algorithms, composed of queries manually constructed to highlight challenging degenerate cases and aut…
ACORNS: An Easy-To-Use Code Generator for Gradients and Hessians
Deshana Desai, Etai Shuchatowitz, Zhongshi Jiang +2
The computation of first and second-order derivatives is a staple in many computing applications, ranging from machine learning to scientific computing. We propose an algorithm to…