Edgar Sucar

Orcid: 0000-0002-5874-7559

According to our database1, Edgar Sucar authored at least 13 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
iLabel: Revealing Objects in Neural Fields.
IEEE Robotics Autom. Lett., 2023

Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

iMODE:Real-Time Incremental Monocular Dense Mapping Using Neural Field.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Incremental Abstraction in Distributed Probabilistic SLAM Graphs.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter.
Proceedings of the Conference on Robot Learning, 2022

2021
iLabel: Interactive Neural Scene Labelling.
CoRR, 2021

iMAP: Implicit Mapping and Positioning in Real-Time.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Neural Object Descriptors for Multi-View Shape Reconstruction.
CoRR, 2020

MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction.
Proceedings of the 8th International Conference on 3D Vision, 2020

2018
Bayesian Scale Estimation for Monocular SLAM Based on Generic Object Detection for Correcting Scale Drift.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017


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