Guangming Wang

According to our database, Guangming Wang authored at least 47 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Guangming Wang, Minjian Xin, Wenhua Wu, Zhe Liu, Hesheng Wang

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

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

Wenhua Wu, Guangming Wang, Ting Deng, Sebastian Aegidius, Stuart Shanks, Valerio Modugno, Dimitrios Kanoulas, Hesheng Wang

CoRR, 2024

SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM.

Siting Zhu, Renjie Qin, Guangming Wang, Jiuming Liu, Hesheng Wang

CoRR, 2024

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

Xinrui Wu, Jianbo Xu, Puyuan Hu, Guangming Wang, Hesheng Wang

CoRR, 2024

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

Chaokang Jiang, Guangming Wang, Jiuming Liu, Hesheng Wang, Zhuang Ma, Zhenqiang Liu, Zhujin Liang, Yi Shan, Dalong Du

CoRR, 2024

2023

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

Guangming Wang, Chensheng Peng, Yingying Gu, Jinpeng Zhang, Hesheng Wang

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

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

Zhe Liu, Yu Zhai, Jiaming Li, Guangming Wang, Yanzi Miao, Hesheng Wang

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

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

Chaokang Jiang, Guangming Wang, Yanzi Miao, Hesheng Wang

IEEE Trans. Ind. Informatics, June, 2023

Efficient 3D Deep LiDAR Odometry.

Guangming Wang, Xinrui Wu, Shuyang Jiang, Zhe Liu, Hesheng Wang

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

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

Guangming Wang, Jiquan Zhong, Shijie Zhao, Wenhua Wu, Zhe Liu, Hesheng Wang

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

Pseudo-LiDAR for Visual Odometry.

Yanzi Miao, Huiying Deng, Chaokang Jiang, Zhiheng Feng, Xinrui Wu, Guangming Wang, Hesheng Wang

IEEE Trans. Instrum. Meas., 2023

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

Guangming Wang, Honghao Zeng, Ziliang Wang, Zhe Liu, Hesheng Wang

IEEE Trans. Cogn. Dev. Syst., 2023

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

Yu Zheng, Guangming Wang, Jiuming Liu, Marc Pollefeys, Hesheng Wang

CoRR, 2023

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

Jiuming Liu, Guangming Wang, Weicai Ye, Chaokang Jiang, Jinru Han, Zhe Liu, Guofeng Zhang, Dalong Du, Hesheng Wang

CoRR, 2023

SNI-SLAM: Semantic Neural Implicit SLAM.

Siting Zhu, Guangming Wang, Hermann Blum, Jiuming Liu, Liang Song, Marc Pollefeys, Hesheng Wang

CoRR, 2023

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

Liang Song, Guangming Wang, Jiuming Liu, Zhenyang Fu, Yanzi Miao, Hesheng Wang

CoRR, 2023

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

Guangming Wang, Yu Zheng, Yanfeng Guo, Zhe Liu, Yixiang Zhu, Wolfram Burgard, Hesheng Wang

CoRR, 2023

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

Wenhua Wu, Guangming Wang, Jiquan Zhong, Hesheng Wang, Zhe Liu

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

Anomaly Detection For Robust Autonomous Navigation.

Kefan Jin, Fan Mu, Xingyao Han, Guangming Wang, Zhe Liu

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

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

Chensheng Peng, Guangming Wang, Xian Wan Lo, Xinrui Wu, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang

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

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

Chang Nie, Guangming Wang, Zhe Liu, Luca Cavalli, Marc Pollefeys, Hesheng Wang

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

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

Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Marc Pollefeys, Hesheng Wang

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

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

Jiuming Liu, Guangming Wang, Chaokang Jiang, Zhe Liu, Hesheng Wang

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.

Guangming Wang, Chi Zhang, Hesheng Wang, Jingchuan Wang, Yong Wang, Xinlei Wang

IEEE Trans. Intell. Transp. Syst., 2022

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

Guangming Wang, Shuaiqi Ren, Hesheng Wang

IEEE Trans. Intell. Transp. Syst., 2022

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

Guangming Wang, Yunzhe Hu, Xinrui Wu, Hesheng Wang

IEEE Trans. Instrum. Meas., 2022

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

Guangming Wang, Yehui Yang, Huixin Zhang, Zhe Liu, Hesheng Wang

IEEE Trans. Cybern., 2022

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

Chaokang Jiang, Guangming Wang, Yanzi Miao, Hesheng Wang

CoRR, 2022

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

Chaokang Jiang, Guangming Wang, Jinxing Wu, Yanzi Miao, Hesheng Wang

CoRR, 2022

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

Guangming Wang, Zhiheng Feng, Chaokang Jiang, Hesheng Wang

CoRR, 2022

Unsupervised Learning of 3D Scene Flow from Monocular Camera.

Guangming Wang, Xiaoyu Tian, Ruiqi Ding, Hesheng Wang

CoRR, 2022

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

Guangming Wang, Chensheng Peng, Jinpeng Zhang, Hesheng Wang

CoRR, 2022

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

Yueling Shen, Guangming Wang, Hesheng Wang

CoRR, 2022

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

Guangming Wang, Chaokang Jiang, Zehang Shen, Yanzi Miao, Hesheng Wang

Adv. Intell. Syst., 2022

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

Guangming Wang, Jiahao Qiu, Yanfeng Guo, Hesheng Wang

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

What Matters for 3D Scene Flow Network.

Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang

IEEE Trans. Image Process., 2021

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

Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang

IEEE Trans. Instrum. Meas., 2021

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

Guangming Wang, Yunzhe Hu, Xinrui Wu, Hesheng Wang

CoRR, 2021

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

Guangming Wang, Shuaiqi Ren, Hesheng Wang

CoRR, 2021

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

Guangming Wang, Honghao Zeng, Ziliang Wang, Zhe Liu, Hesheng Wang

CoRR, 2021

Unsupervised Learning of 3D Scene Flow from Monocular Camera^*.

Guangming Wang, Xiaoyu Tian, Ruiqi Ding, Hesheng Wang

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.

Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang

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.

Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang

CoRR, 2020

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

Guangming Wang, Yehui Yang, Huixin Zhang, Zhe Liu, Hesheng Wang

CoRR, 2020

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

Minjian Xin, Guangming Wang, Zhe Liu, Hesheng Wang

CoRR, 2020

2019

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

Guangming Wang, Hesheng Wang, Yiling Liu, Weidong Chen

Proceedings of the International Conference on Robotics and Automation, 2019