Author

Guangming Wang

ETH Zurich and Shanghai Jiao Tong University - Cited by 263 - Computer Vision - Autonomous Driving - Robot Learning

Biography

Dr.  Guangming Wang is currently working in Department of Gastroenterology, Xuancheng People's Hospital, Anhui Province, 242000, China. He has published numerous research papers and articles in reputed journals and has various other achievements in the related studies. He has extended his valuable service towards the scientific community with his extensive research work. 
Title
Cited by
Year
Unsupervised learning of depth, optical flow and pose with occlusion from 3d geometry
G Wang, C Zhang, H Wang, J Wang, Y Wang, X WangIEEE Transactions on Intelligent Transportation Systems 23 (1), 308-320, 2020202
37
2020
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization
G Wang, X Wu, Z Liu, H WangProceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021202
36
2021
Hierarchical attention learning of scene flow in 3d point clouds
G Wang, X Wu, Z Liu, H WangIEEE Transactions on Image Processing 30, 5168-5181, 2021202
32
2021
Unsupervised learning of monocular depth and ego-motion using multiple masks
G Wang, H Wang, Y Liu, W Chen2019 International Conference on Robotics and Automation (ICRA), 4724-4730, 2019201
27
2019
20
2021
Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences
G Wang, H Liu, M Chen, Y Yang, Z Liu, H WangIEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021202
19
2021
Residual 3-D Scene Flow Learning With Context-Aware Feature Extraction
G Wang, Y Hu, X Wu, H WangIEEE Transactions on Instrumentation and Measurement 71, 1-9, 2022202
15
2022
Efficient 3d deep lidar odometry
G Wang, X Wu, S Jiang, Z Liu, H WangIEEE Transactions on Pattern Analysis and Machine Intelligence, 2022202
14
2022
What Matters for 3D Scene Flow Network
G Wang, Y Hu, Z Liu, Y Zhou, M Tomizuka, W Zhan, H Wang2022 European Conference on Computer Vision (ECCV), 2022202
14
2022
SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self
G Wang, C Jiang, Z Shen, Y Miao, H WangAdvanced Intelligent Systems 4 (4), 2100197, 2022202
12
2022
Unsupervised Learning of 3D Scene Flow from Monocular Camera*
G Wang, X Tian, R Ding, H Wang2021 IEEE International Conference on Robotics and Automation (ICRA), 4325-4331, 2021202
8
2021
Unsupervised learning of optical flow with non-occlusion from geometry
G Wang, S Ren, H WangIEEE Transactions on Intelligent Transportation Systems 23 (11), 20850-20859, 20228202
8
2022
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
G Wang, J Zhong, S Zhao, W Wu, Z Liu, H WangIEEE Transactions on Circuits and Systems for Video Technology, 2022202
6
2022
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks With Base Controllers
G Wang, M Xin, W Wu, Z Liu, H WangIEEE Transactions on Neural Networks and Learning Systems, 20225202
5
2022
FusionNet: Coarse-to-Fine Extrinsic Calibration Network of LiDAR and Camera with Hierarchical Point-pixel Fusion
G Wang, J Qiu, Y Guo, H Wang2022 International Conference on Robotics and Automation (ICRA), 8964-8970, 2022202
3
2022
3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion
C Jiang, G Wang, Y Miao, H WangIEEE Transactions on Industrial Informatics, 0
2
2022
Interactive Multi-Scale Fusion of 2D and 3D Features for Multi-Object Vehicle Tracking
G Wang, C Peng, Y Gu, J Zhang, H WangIEEE Transactions on Intelligent Transportation Systems, 20232202
2
2023
Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos
G Wang, H Zeng, Z Wang, Z Liu, H WangIEEE Transactions on Cognitive and Developmental Systems, 2022202
1
2022
Pseudo-LiDAR for Visual Odometry
H Deng, G Wang, Z Feng, C Jiang, X Wu, Y Miao, H WangarXiv preprint arXiv:2209.0567, 2022202
1
2022
Unsupervised Learning of 3D Scene Flow with 3D Odometry Assistance
G Wang, Z Feng, C Jiang, H WangarXiv preprint arXiv:2209.04945, 2022202
1
2022