Guangming Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 52

Top Topics

Unsupervised Learning

Flow Estimation

Visual Odometry

Reinforcement Learning

Top Venues

IEEE Trans. Intell. Transp. Syst.

IEEE Trans. Instrum. Meas.

Publications

Chaokang Jiang, Guangming Wang, Jiuming Liu, Hesheng Wang, Zhuang Ma, Zhenqiang Liu, Zhujin Liang, Yi Shan, Dalong Du
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling. CoRR (2024)
Guangming Wang, Lei Pan, Songyou Peng, Shaohui Liu, Chenfeng Xu, Yanzi Miao, Wei Zhan, Masayoshi Tomizuka, Marc Pollefeys, Hesheng Wang
NeRF in Robotics: A Survey. CoRR (2024)
Siting Zhu, Renjie Qin, Guangming Wang, Jiuming Liu, Hesheng Wang
SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM. CoRR (2024)
Wenhua Wu, Guangming Wang, Ting Deng, Sebastian Aegidius, Stuart Shanks, Valerio Modugno, Dimitrios Kanoulas, Hesheng Wang
DVN-SLAM: Dynamic Visual Neural SLAM Based on Local-Global Encoding. CoRR (2024)
Guangming Wang, Minjian Xin, Wenhua Wu, Zhe Liu, Hesheng Wang
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks With Base Controllers. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Xinrui Wu, Jianbo Xu, Puyuan Hu, Guangming Wang, Hesheng Wang
LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Point Cloud Heat Map. CoRR (2024)
Xinrui Wu, Jianbo Xu, Puyuan Hu, Guangming Wang, Hesheng Wang
LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Point Cloud Heat Map. ICRA (2024)
Yanzi Miao, Huiying Deng, Chaokang Jiang, Zhiheng Feng, Xinrui Wu, Guangming Wang, Hesheng Wang
Pseudo-LiDAR for Visual Odometry. IEEE Trans. Instrum. Meas. 72 (2023)
Wenhua Wu, Guangming Wang, Jiquan Zhong, Hesheng Wang, Zhe Liu
Self-supervised Multi-frame Monocular Depth Estimation with Pseudo-LiDAR Pose Enhancement. ICRA (2023)
Chang Nie, Guangming Wang, Zhe Liu, Luca Cavalli, Marc Pollefeys, Hesheng Wang
RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation. CoRR (2023)
Chaokang Jiang, Guangming Wang, Yanzi Miao, Hesheng Wang
3-D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion. IEEE Trans. Ind. Informatics 19 (6) (2023)
Guangming Wang, Yu Zheng, Yanfeng Guo, Zhe Liu, Yixiang Zhu, Wolfram Burgard, Hesheng Wang
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization. CoRR (2023)
Jiuming Liu, Guangming Wang, Chaokang Jiang, Zhe Liu, Hesheng Wang
TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry. AAAI (2023)
Zhe Liu, Yu Zhai, Jiaming Li, Guangming Wang, Yanzi Miao, Hesheng Wang
Graph Relational Reinforcement Learning for Mobile Robot Navigation in Large-Scale Crowded Environments. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Guangming Wang, Chensheng Peng, Yingying Gu, Jinpeng Zhang, Hesheng Wang
Interactive Multi-Scale Fusion of 2D and 3D Features for Multi-Object Vehicle Tracking. IEEE Trans. Intell. Transp. Syst. 24 (10) (2023)
Guangming Wang, Honghao Zeng, Ziliang Wang, Zhe Liu, Hesheng Wang
Motion Projection Consistency-Based 3-D Human Pose Estimation With Virtual Bones From Monocular Videos. IEEE Trans. Cogn. Dev. Syst. 15 (2) (2023)
Guangming Wang, Jiquan Zhong, Shijie Zhao, Wenhua Wu, Zhe Liu, Hesheng Wang
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose From Monocular Video. IEEE Trans. Circuits Syst. Video Technol. 33 (4) (2023)
Guangming Wang, Xinrui Wu, Shuyang Jiang, Zhe Liu, Hesheng Wang
Efficient 3D Deep LiDAR Odometry. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Marc Pollefeys, Hesheng Wang
RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration. CoRR (2023)
Liang Song, Guangming Wang, Jiuming Liu, Zhenyang Fu, Yanzi Miao, Hesheng Wang
SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views. CoRR (2023)
Guangming Wang, Chaokang Jiang, Zehang Shen, Yanzi Miao, Hesheng Wang
SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self. Adv. Intell. Syst. 4 (4) (2022)
Guangming Wang, Chensheng Peng, Jinpeng Zhang, Hesheng Wang
Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking. CoRR (2022)
Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang
What Matters for 3D Scene Flow Network. CoRR (2022)
Yueling Shen, Guangming Wang, Hesheng Wang
DetFlowTrack: 3D Multi-object Tracking based on Simultaneous Optimization of Object Detection and Scene Flow Estimation. CoRR (2022)
Guangming Wang, Zhiheng Feng, Chaokang Jiang, Hesheng Wang
Unsupervised Learning of 3D Scene Flow with 3D Odometry Assistance. CoRR (2022)
Guangming Wang, Chi Zhang, Hesheng Wang, Jingchuan Wang, Yong Wang, Xinlei Wang
Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang
What Matters for 3D Scene Flow Network. ECCV (33) (2022)
Guangming Wang, Xiaoyu Tian, Ruiqi Ding, Hesheng Wang
Unsupervised Learning of 3D Scene Flow from Monocular Camera. CoRR (2022)
Guangming Wang, Jiahao Qiu, Yanfeng Guo, Hesheng Wang
FusionNet: Coarse-to-Fine Extrinsic Calibration Network of LiDAR and Camera with Hierarchical Point-pixel Fusion. ICRA (2022)
Guangming Wang, Shuaiqi Ren, Hesheng Wang
Unsupervised Learning of Optical Flow With Non-Occlusion From Geometry. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Chaokang Jiang, Guangming Wang, Jinxing Wu, Yanzi Miao, Hesheng Wang
FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection. CoRR (2022)
Guangming Wang, Yunzhe Hu, Xinrui Wu, Hesheng Wang
Residual 3-D Scene Flow Learning With Context-Aware Feature Extraction. IEEE Trans. Instrum. Meas. 71 (2022)
Huiying Deng, Guangming Wang, Zhiheng Feng, Chaokang Jiang, Xinrui Wu, Yanzi Miao, Hesheng Wang
Pseudo-LiDAR for Visual Odometry. CoRR (2022)
Chaokang Jiang, Guangming Wang, Yanzi Miao, Hesheng Wang
3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion. CoRR (2022)
Guangming Wang, Yehui Yang, Huixin Zhang, Zhe Liu, Hesheng Wang
Spherical Interpolated Convolutional Network With Distance-Feature Density for 3-D Semantic Segmentation of Point Clouds. IEEE Trans. Cybern. 52 (12) (2022)
Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang
Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences. IEEE Trans. Instrum. Meas. 70 (2021)
Guangming Wang, Xinrui Wu, Shuyang Jiang, Zhe Liu, Hesheng Wang
Efficient 3D Deep LiDAR Odometry. CoRR (2021)
Guangming Wang, Xiaoyu Tian, Ruiqi Ding, Hesheng Wang
. ICRA (2021)
Guangming Wang, Shuaiqi Ren, Hesheng Wang
NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry. CoRR (2021)
Guangming Wang, Hesheng Wang, Yiling Liu, Weidong Chen
Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks. CoRR (2021)
Guangming Wang, Honghao Zeng, Ziliang Wang, Zhe Liu, Hesheng Wang
Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos. CoRR (2021)
Guangming Wang, Yunzhe Hu, Xinrui Wu, Hesheng Wang
Residual 3D Scene Flow Learning with Context-Aware Feature Extraction. CoRR (2021)
Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization. CVPR (2021)
Guangming Wang, Jiquan Zhong, Shijie Zhao, Wenhua Wu, Zhe Liu, Hesheng Wang
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video. CoRR (2021)
Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds. IEEE Trans. Image Process. 30 (2021)
Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds. CoRR (2020)
Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang
Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences. CoRR (2020)
Guangming Wang, Yehui Yang, Huixin Zhang, Zhe Liu, Hesheng Wang
Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds. CoRR (2020)
Minjian Xin, Guangming Wang, Zhe Liu, Hesheng Wang
Achieving Sample-Efficient and Online-Training-Safe Deep Reinforcement Learning with Base Controllers. CoRR (2020)
Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization. CoRR (2020)
Guangming Wang, Chi Zhang, Hesheng Wang, Jingchuan Wang, Yong Wang, Xinlei Wang
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry. CoRR (2020)
Guangming Wang, Hesheng Wang, Yiling Liu, Weidong Chen
Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks. ICRA (2019)