1 citations · 1 across the 4 of their papers we have counts for
4 papers
Predictive Attractor Models
Ramy Mounir, Sudeep Sarkar
Sequential memory, the ability to form and accurately recall a sequence of events or stimuli in the correct order, is a fundamental prerequisite for biological and artificial intel…
LocaliseBot: Multi-view 3D object localisation with differentiable rendering for robot grasping
Sujal Vijayaraghavan, Redwan Alqasemi, Rajiv Dubey +1
Robot grasp typically follows five stages: object detection, object localisation, object pose estimation, grasp pose estimation, and grasp planning. We focus on object pose estimat…
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,…
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…