Results 151 to 160 of about 2,971,508 (208)
Probing the content of semantic representations in body-selective regions. [PDF]
Yashiro R +3 more
europepmc +1 more source
On Bending in the As‐Rigid‐As‐Possible Deformation Energy
Abstract The well‐established As‐Rigid‐As‐Possible (ARAP) energy has various forms. For surface deformation, commonly used energies contain an implicit bending penalty. We present a natural, continuous generalization that incorporates multiple ARAP versions with an implicit, user‐controllable bending penalty.
Ugo Finnendahl, Marc Alexa
wiley +1 more source
Meshing Unsigned Distance Fields with Regular Triangulations
Abstract Unsigned distance fields (UDF) are a versatile, implicit representation of geometry. They can represent surfaces that are not bounding a solid or contain points or curves that are not manifold, for example several sheets meeting along a common curve. Contouring the implicit representation, i.e. turning it into an explicit one, requires finding
M. Kohlbrenner, M. Alexa
wiley +1 more source
Feasibility and signal quality of the Minder® implantable continuous EEG monitoring® system compared to 10-20 scalp electrodes over extended monitoring periods. [PDF]
Ganguly TM +15 more
europepmc +1 more source
Attention Based Optimization for 3D Shape Registration
Abstract Transformers are sequence‐to‐sequence architectures originally designed to handle structurally rigid and order‐sensitive data, such as text and images. At their core, they exploit the attention mechanism, which is permutation‐equivariant and relies on computing token‐to‐token relationships.
A. Riva, L. Olearo, S. Melzi
wiley +1 more source
Towards Fixing Vessel Segmentation Breakage: A Systematic Review. [PDF]
Goffart S +7 more
europepmc +1 more source
Tangent Blow‐Ups for Processing Non‐Manifold Geometry
Abstract Many geometry processing pipelines implicitly assume their input data is a manifold, or is sampled from one, with a unique tangent plane at every point. Geometric data, however, routinely contains sharp features like edges, corners, self‐intersections, branching junctions, and other singularities, rendering standard methods ill‐defined at ...
Alice Petrov +3 more
wiley +1 more source
Integrating knowledge graphs and contextual patterns for legal concept alignment. [PDF]
Liou JS, Yang CY, Chen YS.
europepmc +1 more source
Strictly Conservative Neural Distance Fields
Abstract We propose a first method to generate neural unsigned or signed distance fields (SDFs) that are guaranteed to be conservative with respect to a given 3D shape. This means the true distance is never overestimated and the zero‐level set is a bounding volume for the shape. The method makes use of neural network architectures that ensure Lipschitz
I. Ludwig, M. Campen
wiley +1 more source

