activity
20172023
most citedThe Unconstrained Ear Recognition Challenge 2019 - ArXiv Version With Appendix

2 citations · 3 across the 5 of their papers we have counts for

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cs.CV2023

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…

cs.CV20231 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…

cs.CV2021

Measuring economic activity from space: a case study using flying airplanes and COVID-19

Mauricio Pamplona Segundo, Allan Pinto, Rodrigo Minetto +2

This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We hypothesized that disturbances in human behavior cau…

cs.CV2020

Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic

Rodrigo Minetto, Mauricio Pamplona Segundo, Gilbert Rotich +1

The COVID-19 outbreak forced governments worldwide to impose lockdowns and quarantines to prevent virus transmission. As a consequence, there are disruptions in human and economic…

cs.CV2020

Action Localization through Continual Predictive Learning

Sathyanarayanan N. Aakur, Sudeep Sarkar

The problem of action recognition involves locating the action in the video, both over time and spatially in the image. The dominant current approaches use supervised learning to s…