39 citations · 141 across the 34 of their papers we have counts for
5 papers · 1 filter
Verifier-Guided Synthetic Augmentation for 3D Human Shape Generation
Yuexuan Wu, Yang Xiang, Hamid Laga +3
Limited training data diversity constrains generative modeling of 3D human bodies: conservative models remain close to observed examples, whereas exploratory models often violate b…
ConSEAL: Connectivity-Informed Streamline Endpoint Alignment for Diffeomorphic Cortical Registration
Yang Xiang, Martin Cole, Zhengwu Zhang
Cortical surface registration is often driven by local geometric descriptors (e.g., sulcal depth and curvature). While this approach achieves geometric correspondence, it neglects…
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
Human brain functional connectivity (FC) is often measured as the similarity of functional MRI responses across brain regions when a brain is either resting or performing a task. T…
Low-Rank Representation over the Manifold of Curves
Stephen Tierney, Junbin Gao, Yi Guo +1
In machine learning it is common to interpret each data point as a vector in Euclidean space. However the data may actually be functional i.e.\ each data point is a function of som…
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories
Zhengwu Zhang, Jingyong Su, Eric Klassen +2
Statistical classification of actions in videos is mostly performed by extracting relevant features, particularly covariance features, from image frames and studying time series as…