Edgar Sucar

24 papers A* 6Misc 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoWTracker: Tracking by Warping instead of Correlation.
CoRR
Zihang Lai, Eldar Insafutdinov, Edgar Sucar, Andrea Vedaldi
2026 J jnl
V-DPM: 4D Video Reconstruction with Dynamic Point Maps.
CoRR
Edgar Sucar, Eldar Insafutdinov, Zihang Lai, Andrea Vedaldi
2025 J jnl
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction.
CoRR
Edgar Sucar, Zihang Lai, Eldar Insafutdinov, Andrea Vedaldi
2023 A* conf
Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding.
ICRA
Kirill Mazur, Edgar Sucar, Andrew J. Davison
2023 J jnl
iLabel: Revealing Objects in Neural Fields.
IEEE Robotics Autom. Lett.
Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison
2023 A* conf
iMODE:Real-Time Incremental Monocular Dense Mapping Using Neural Field.
ICRA
Hidenobu Matsuki, Edgar Sucar, Tristan Laidlow, Kentaro Wada, Raluca Scona, Andrew J. Davison
2022 J jnl
Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding.
CoRR
Kirill Mazur, Edgar Sucar, Andrew J. Davison
2022 A* conf
Incremental Abstraction in Distributed Probabilistic SLAM Graphs.
ICRA
Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison
2022 Misc conf
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter.
CoRL
Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison
2022 J jnl
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter.
CoRR
Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison
2022 — conf
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception.
Robotics: Science and Systems
Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotný, Michael Zollhöfer, Mustafa Mukadam
2022 J jnl
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception.
CoRR
Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotný, Michael Zollhöfer, Mustafa Mukadam
2021 J jnl
Incremental Abstraction in Distributed Probabilistic SLAM Graphs.
CoRR
Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison
2021 J jnl
iLabel: Interactive Neural Scene Labelling.
CoRR
Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison
2021 A* conf
iMAP: Implicit Mapping and Positioning in Real-Time.
ICCV
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
2021 J jnl
iMAP: Implicit Mapping and Positioning in Real-Time.
CoRR
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
2020 A* conf
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion.
CVPR
Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
2020 J jnl
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion.
CoRR
Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
2020 J jnl
Neural Object Descriptors for Multi-View Shape Reconstruction.
CoRR
Edgar Sucar, Kentaro Wada, Andrew J. Davison
2020 — conf
NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction.
3DV
Edgar Sucar, Kentaro Wada, Andrew J. Davison
2018 A* conf
Bayesian Scale Estimation for Monocular SLAM Based on Generic Object Detection for Correcting Scale Drift.
ICRA
Edgar Sucar, Jean-Bernard Hayet
2017 J jnl
Bayesian Scale Estimation for Monocular SLAM Based on Generic Object Detection for Correcting Scale Drift.
CoRR
Edgar Sucar, Jean-Bernard Hayet
2017 — conf
Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection.
CVPR Workshops
Edgar Sucar, Jean-Bernard Hayet
2017 J jnl
Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection.
CoRR
Edgar Sucar, Jean-Bernard Hayet