36 citations · 64 across the 6 of their papers we have counts for
6 papers
BijectiveRemesh: Maintaining Bijective Mappings for Data Transfer Across Remeshed Manifolds
Leyi Zhu, Michael Tao, Yixin Hu +2
We introduce BijectiveRemesh, a robust algorithm for maintaining a continuous, bijective mapping across complex remeshing sequences on both 2D triangle surfaces and 3D tetrahedral…
Topology-First B-Rep Meshing
YunFan Zhou, Daniel Zint, Nafiseh Izadyar +3
Parametric boundary representation models (B-Reps) are the de facto standard in CAD, graphics, and robotics, yet converting them into valid meshes remains fragile. The difficulty o…
Codimensional MultiMeshing: Synchronizing the Evolution of Multiple Embedded Geometries
Michael Tao, Jiacheng Dai, Denis Zorin +2
Complex geometric tasks such as geometric modeling, physical simulation, and texture parametrization often involve the embedding of many complex sub-domains with potentially differ…
Computational Design of Active 3D-Printed Multi-State Structures for Shape Morphing
Thomas S. Lumpe, Michael Tao, Kristina Shea +1
Active structures have the ability to change their shape, properties, and functionality as a response to changing operational conditions, which makes them more versatile than their…
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li +2
Many machine learning image classifiers are vulnerable to adversarial attacks, inputs with perturbations designed to intentionally trigger misclassification. Current adversarial me…
An empirical analysis of the optimization of deep network loss surfaces
Daniel Jiwoong Im, Michael Tao, Kristin Branson
The success of deep neural networks hinges on our ability to accurately and efficiently optimize high-dimensional, non-convex functions. In this paper, we empirically investigate t…