Maggie B. Wigness

Orcid: 0000-0003-1707-8106

According to our database1, Maggie B. Wigness authored at least 29 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing.
Real Time Syst., 2023

IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research.
Proceedings of the IEEE Military Communications Conference, 2023

2022
An Intelligence Architecture for Grounded Language Communication with Field Robots.
Field Robotics, March, 2022

Real-time task scheduling with image resizing for criticality-based machine perception.
Real Time Syst., 2022

Robot navigation from human demonstration: learning control behaviors with environment feature maps.
CoRR, 2022

Self-Cueing Real-Time Attention Scheduling in Criticality-Aware Visual Machine Perception.
Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium, 2022

DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows.
Proceedings of the ApPLIED '22: Proceedings of the 2022 Workshop on Advanced tools, 2022

Comparing Performance of Group Communications Protocols Over SCB versus Routed MANET Networks.
Proceedings of the IEEE Military Communications Conference, 2022

NAUTS: Negotiation for Adaptation to Unstructured Terrain Surfaces.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle.
Proceedings of the IEEE International Conference on Assured Autonomy, 2022

2021
Using perception cues for context-aware navigation in dynamic outdoor environments.
Field Robotics, October, 2021

Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation.
CoRR, 2021

Robot Adaptation for Generating Consistent Navigational Behaviors over Unstructured Off-Road Terrain.
CoRR, 2021

On Exploring Image Resizing for Optimizing Criticality-based Machine Perception.
Proceedings of the 27th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2021

Optimizing Intelligent Edge-clouds with Partitioning, Compression and Speculative Inference.
Proceedings of the 2021 IEEE Military Communications Conference, 2021

Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

RELLIS-3D Dataset: Data, Benchmarks and Analysis.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Enhancing Consistent Ground Maneuverability by Robot Adaptation to Complex Off-Road Terrains.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019
Hao Zhang: Robot Adaptation to Unstructured Terrains by Joint Representation and Apprenticeship Learning.
Proceedings of the Robotics: Science and Systems XV, 2019

A RUGD Dataset for Autonomous Navigation and Visual Perception in Unstructured Outdoor Environments.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Efficient Label Collection for Image Datasets via Hierarchical Clustering.
Int. J. Comput. Vis., 2018

Robot Navigation from Human Demonstration: Learning Control Behaviors.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
On the Impacts of Noise from Group-Based Label Collection for Visual Classification.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Unsupervised Semantic Scene Labeling for Streaming Data.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Reducing adaptation latency for multi-concept visual perception in outdoor environments.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Efficient label collection for unlabeled image datasets.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Selectively guiding visual concept discovery.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014


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