Li Sun
Orcid: 0000-0002-0393-8665Affiliations:
- University of Sheffield, Sheffield Robotics, UK
- University of Oxford, Oxford Robotics Institute, UK (2019)
- University of Lincoln, Lincoln Centre for Autonomous Systems, UK (2017 - 2018)
- University of Glasgow, UK (PhD 2016)
According to our database1,
Li Sun
authored at least 48 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Robotics Autom. Lett., May, 2024
Self-supervised cross-modality learning for uncertainty-aware object detection and recognition in applications which lack pre-labelled training data.
CoRR, 2024
NDT-Map-Code: A 3D global descriptor for real-time loop closure detection in lidar SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Orientation-Aware Multi-Modal Learning for Road Intersection Identification and Mapping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Long short-distance topology modelling of 3D point cloud segmentation with a graph convolution neural network.
IET Comput. Vis., April, 2023
NDT-Map-Code: A 3D global descriptor for real-time loop closure detection in lidar SLAM.
CoRR, 2023
EventPoint: Self-Supervised Interest Point Detection and Description for Event-based Camera.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Neurocomputing, 2021
Monocular Teach-and-Repeat Navigation using a Deep Steering Network with Scale Estimation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Robust and Long-term Monocular Teach and Repeat Navigation using a Single-experience Map.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the International IEEE Conference on Advanced Robotics and Its Social Impacts, 2021
2020
Generative Localization With Uncertainty Estimation Through Video-CT Data for Bronchoscopic Biopsy.
IEEE Robotics Autom. Lett., 2020
Local k-NNs pattern in Omni-Direction graph convolution neural network for 3D point clouds.
Neurocomputing, 2020
Frontiers Robotics AI, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Robotics Auton. Syst., 2019
Robotics Auton. Syst., 2019
CoRR, 2019
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning.
CoRR, 2019
2018
IEEE Robotics Autom. Lett., 2018
Recurrent-OctoMap: Learning State-Based Map Refinement for Long-Term Semantic Mapping With 3-D-Lidar Data.
IEEE Robotics Autom. Lett., 2018
Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data.
CoRR, 2018
Multisensor Online Transfer Learning for 3D LiDAR-based Human Classification with a Mobile Robot.
CoRR, 2018
IEEE Access, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Multisensor Online Transfer Learning for 3D LiDAR-Based Human Detection with a Mobile Robot.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
3DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous Mobile Robot Deployment Data.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017
Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data.
CoRR, 2017
Single-shot clothing category recognition in free-configurations with application to autonomous clothes sorting.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition.
Proceedings of the 18th International Conference on Advanced Robotics, 2017
2016
Integrated visual perception architecture for robotic clothes perception and manipulation.
PhD thesis, 2016
Interactive perception based on Gaussian Process classification for house-hold objects recognition & sorting.
Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016
Recognising the clothing categories from free-configuration using Gaussian-Process-based interactive perception.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
2015
Proceedings of the Image Processing and Communications Challenges 7, 2015
Accurate garment surface analysis using an active stereo robot head with application to dual-arm flattening.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
2013
Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013
2012
IEEE Trans. Biomed. Eng., 2012