2 citations · 10 across the 12 of their papers we have counts for
6 papers · 1 filter
Elastic Shape Analysis of Tree-like 3D Objects using Extended SRVF Representation
Guan Wang, Hamid Laga, Anuj Srivastava
How can one analyze detailed 3D biological objects, such as neurons and botanical trees, that exhibit complex geometrical and topological variation? In this paper, we develop a nov…
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks
Mengyu Dai, Haibin Hang, Anuj Srivastava
The study of multidimensional discriminator (critic) output for Generative Adversarial Networks has been underexplored in the literature. In this paper, we generalize the Wasserste…
Dynamic Shape Modeling to Analyze Modes ofMigration During Cell Motility
Ximu Deng, Rituparna Sarkar, Elisabeth Labruyere +2
This paper develops a generative statistical model for representing, modeling, and comparing the morphological evolution of biological cells undergoing motility. It uses the elasti…
Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD
Yuexuan Wu, Suprateek Kundu, Jennifer S. Stevens +2
There is increasing evidence on the importance of brain morphology in predicting and classifying mental disorders. However, the vast majority of current shape approaches rely heavi…
Shape Analysis of Functional Data with Elastic Partial Matching
Darshan Bryner, Anuj Srivastava
Elastic Riemannian metrics have been used successfully in the past for statistical treatments of functional and curve shape data. However, this usage has suffered from an important…
4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data
Hamid Laga, Marcel Padilla, Ian H. Jermyn +3
We propose a novel framework to learn the spatiotemporal variability in longitudinal 3D shape data sets, which contain observations of objects that evolve and deform over time. Thi…