Scholar
Edgar Sucar
Google Scholar ID: OsDdSWgAAAAJ
University of Oxford
Citations & Impact
Citations
1,490
H-index
10
i10-index
10
Publications
15
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding (2022)
- Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter (CoRL oral, 2022)
- iSDF: Real-Time Neural Signed Distance Fields for Robot Perception (RSS, 2022)
- iLabel: Interactive Neural Scene Labelling (arXiv, 2021)
- iMAP: Implicit Mapping and Positioning in Real-Time (ICCV, 2021)
- Incremental Abstraction in Distributed Probabilistic SLAM Graphs (ICRA, 2022)
- NodeSLAM: Neural object descriptors for multi-view shape reconstruction (3DV, 2020)
- Morefusion: Multi-object reasoning for 6d pose estimation from volumetric fusion
Research Experience
- Involved in several research projects focusing on the development of real-time systems and mapping physical scene properties among others.
Education
- Pursuing a PhD at the Dyson Robotics Lab, Imperial College London, under the supervision of Prof. Andrew Davison.
Background
- PhD student at the Dyson Robotics Lab, Imperial College London. Research interests include Computer Vision, SLAM, Neural Scene Representations, Unsupervised/Continual Learning, and Robotics. Aims to develop methods for 3D scene understanding that enable machines to have meaningful interactions with their environment.
Miscellany
- Enjoys building practical real-time systems which work in the real world.
