Cheng Zhao
Orcid: 0000-0001-8502-3233Affiliations:
- Microsoft, Mountain View, CA, USA
- Bosch Research North America, USA (former)
- University of Oxford, Department of Engineering Science, UK (former)
- University of Birmingham, UK (former)
- Xiamen University, Cognitive Science Department, China (former)
According to our database1,
Cheng Zhao
authored at least 30 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Surrounding Autonomous Driving Scenes.
CoRR, 2024
UPNeRF: A Unified Framework for Monocular 3D Object Reconstruction and Pose Estimation.
CoRR, 2024
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving: Supplementary Materials.
Proceedings of the Computer Vision - ECCV 2024, 2024
Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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
2020
Generative Localization With Uncertainty Estimation Through Video-CT Data for Bronchoscopic Biopsy.
IEEE Robotics Autom. Lett., 2020
Frontiers Robotics AI, 2020
2019
Robotics Auton. Syst., 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces.
Proceedings of the 36th International Conference on Machine Learning, 2019
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
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data.
CoRR, 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
2015
Building a grid-semantic map for the navigation of service robots through human-robot interaction.
Digit. Commun. Networks, 2015
Building a grid-point cloud-semantic map based on graph for the navigation of intelligent wheelchair.
Proceedings of the 21st International Conference on Automation and Computing, 2015
2013
Int. J. Model. Identif. Control., 2013