activity
20232026
most citedStereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Limitations of Synthetic Data Generation in Specialized Data-Scarce Domains

Edward Zhang, Marcel Hussing, Tanay Tandon +12

Advances in diffusion-based generative models have motivated the use of synthetic image generation to alleviate data scarcity in vision tasks. While this strategy has shown promise…

cs.RO2025

A Multi-Robot Platform for Robotic Triage Combining Onboard Sensing and Foundation Models

Jason Hughes, Marcel Hussing, Edward Zhang +24

This report presents a heterogeneous robotic system designed for remote primary triage in mass-casualty incidents (MCIs). The system employs a coordinated air-ground team of unmann…

cs.RO2025

Ant-inspired Walling Strategies for Scalable Swarm Separation: Reinforcement Learning Approaches Based on Finite State Machines

Shenbagaraj Kannapiran, Elena Oikonomou, Albert Chu +2

In natural systems, emergent structures often arise to balance competing demands. Army ants, for example, form temporary "walls" that prevent interference between foraging trails.…

cs.CV2024

PathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot

Shenbagaraj Kannapiran, Sreenithy Chandran, Suren Jayasuriya +1

The study of non-line-of-sight (NLOS) imaging is growing due to its many potential applications, including rescue operations and pedestrian detection by self-driving cars. However,…

cs.CV20231 cited

Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network

Shenbagaraj Kannapiran, Nalin Bendapudi, Ming-Yuan Yu +4

Robust feature matching forms the backbone for most Visual Simultaneous Localization and Mapping (vSLAM), visual odometry, 3D reconstruction, and Structure from Motion (SfM) algori…