Guangming Wang

Orcid: 0000-0002-7675-543X

Affiliations:

University of Cambridge, UK
Shanghai Jiao Tong University, Shanghai, China

According to our database¹, Guangming Wang authored at least 76 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Robot Learning from Human Videos: A Survey.

[BibT_eX]

[DOI]

CoRR, April, 2026

SNI-SLAM++: Tightly-Coupled Semantic Neural Implicit SLAM.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

DifFlow3D: Hierarchical Diffusion Models for Uncertainty-Aware 3D Scene Flow Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

OGScene3D: Incremental Open-Vocabulary 3D Gaussian Scene Graph Mapping for Scene Understanding.

[BibT_eX]

[DOI]

CoRR, March, 2026

Towards the Vision-Sound-Language-Action Paradigm: The HEAR Framework for Sound-Centric Manipulation.

[BibT_eX]

[DOI]

CoRR, March, 2026

RegFormer++: An Efficient Large-Scale 3D LiDAR Point Registration Network with Projection-Aware 2D Transformer.

[BibT_eX]

[DOI]

CoRR, March, 2026

CoMA-SLAM: Collaborative Multi-Agent Gaussian SLAM with Geometric Consistency.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Reloc-VGGT: Visual Re-localization with Geometry Grounded Transformer.

[BibT_eX]

[DOI]

CoRR, December, 2025

Continually Evolving Skill Knowledge in Vision Language Action Model.

[BibT_eX]

[DOI]

CoRR, November, 2025

Offboard Occupancy Refinement With Hybrid Propagation for Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., October, 2025

ERMV: Editing 4D Robotic Multi-view images to enhance embodied agents.

[BibT_eX]

[DOI]

CoRR, July, 2025

Unsupervised Learning of 3D Scene Flow With LiDAR Odometry Assistance.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., April, 2025

MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep Thinking.

[BibT_eX]

[DOI]

CoRR, April, 2025

End-to-End 2D-3D Registration Between Image and LiDAR Point Cloud for Vehicle Localization.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2025

MonoPCFlow: Enabling Efficient Scene Flow Estimation From Monocular View.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

G²-Mapping: General Gaussian Mapping for Monocular, RGB-D, and LiDAR-Inertial-Visual Systems.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2025

Refining YOLOv8 for Full Field Digital Mammograms: Improving Small Object Detection through Resolution-Preserving Patched Inference.

[BibT_eX]

[DOI]

Itana Bulatovic

Guangming Wang

Hesheng Wang

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep Thinking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

CODE: COllaborative Visual-UWB SLAM for Online Large-Scale Metric DEnse Mapping.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

DVN-SLAM: Dynamic Visual Neural Slam Based on Local-Global Encoding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks With Base Controllers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2024

3D Gaussian Splatting in Robotics: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

RL-GSBridge: 3D Gaussian Splatting Based Real2Sim2Real Method for Robotic Manipulation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

NeRF in Robotics: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

OccFiner: Offboard Occupancy Refinement with Hybrid Propagation.

[BibT_eX]

[DOI]

CoRR, 2024

Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DnFPlane for Efficient and High-Quality 4D Reconstruction of Deformable Tissues.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Point Cloud Heat Map.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

SNI-SLAM: Semantic Neural Implicit SLAM.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-Labelling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Interactive Multi-Scale Fusion of 2D and 3D Features for Multi-Object Vehicle Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., October, 2023

Graph Relational Reinforcement Learning for Mobile Robot Navigation in Large-Scale Crowded Environments.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., August, 2023

3-D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, June, 2023

Efficient 3D Deep LiDAR Odometry.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose From Monocular Video.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2023

Pseudo-LiDAR for Visual Odometry.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

Motion Projection Consistency-Based 3-D Human Pose Estimation With Virtual Bones From Monocular Videos.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2023

DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2023

SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views.

[BibT_eX]

[DOI]

CoRR, 2023

End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization.

[BibT_eX]

[DOI]

CoRR, 2023

Self-supervised Multi-frame Monocular Depth Estimation with Pseudo-LiDAR Pose Enhancement.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Unsupervised Learning of Depth and Pose Based on Monocular Camera and Inertial Measurement Unit (IMU).

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Anomaly Detection For Robust Autonomous Navigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Unsupervised Learning of Optical Flow With Non-Occlusion From Geometry.

[BibT_eX]

[DOI]

Guangming Wang

Shuaiqi Ren

Hesheng Wang

IEEE Trans. Intell. Transp. Syst., 2022

Residual 3-D Scene Flow Learning With Context-Aware Feature Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Spherical Interpolated Convolutional Network With Distance-Feature Density for 3-D Semantic Segmentation of Point Clouds.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion.

[BibT_eX]

[DOI]

CoRR, 2022

FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Learning of 3D Scene Flow with 3D Odometry Assistance.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Learning of 3D Scene Flow from Monocular Camera.

[BibT_eX]

[DOI]

CoRR, 2022

Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking.

[BibT_eX]

[DOI]

CoRR, 2022

DetFlowTrack: 3D Multi-object Tracking based on Simultaneous Optimization of Object Detection and Scene Flow Estimation.

[BibT_eX]

[DOI]

Yueling Shen

Guangming Wang

Hesheng Wang

CoRR, 2022

SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self.

[BibT_eX]

[DOI]

Adv. Intell. Syst., 2022

FusionNet: Coarse-to-Fine Extrinsic Calibration Network of LiDAR and Camera with Hierarchical Point-pixel Fusion.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

What Matters for 3D Scene Flow Network.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Hierarchical Attention Learning of Scene Flow in 3D Point Clouds.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

Residual 3D Scene Flow Learning with Context-Aware Feature Extraction.

[BibT_eX]

[DOI]

CoRR, 2021

NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry.

[BibT_eX]

[DOI]

Guangming Wang

Shuaiqi Ren

Hesheng Wang

CoRR, 2021

Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos.

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised Learning of 3D Scene Flow from Monocular Camera<sup>*</sup>.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences.

[BibT_eX]

[DOI]

CoRR, 2020

Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2020

Achieving Sample-Efficient and Online-Training-Safe Deep Reinforcement Learning with Base Controllers.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Guangming Wang

Timeline

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Bibliography

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