2 citations · 3 across the 5 of their papers we have counts for
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cs.CV2023★ 1 cited
Reducing Training Demands for 3D Gait Recognition with Deep Koopman Operator Constraints
Cole Hill, Mauricio Pamplona Segundo, Sudeep Sarkar
Deep learning research has made many biometric recognition solution viable, but it requires vast training data to achieve real-world generalization. Unlike other biometric traits,…
cs.CV2023
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
Shenyuan Liang, Mauricio Pamplona Segundo, Sathyanarayanan N. Aakur +2
This paper focuses on the statistical analysis of shapes of data objects called shape graphs, a set of nodes connected by articulated curves with arbitrary shapes. A critical need…