Yong-Qiang Mao (毛永强)

Yong-Qiang Mao is now a postdoctoral researcher at the Department of Electronic Engineering at Tsinghua University. His advisor is You He. Yong-Qiang Mao received his Ph.D. degree in Aerospace Information Research Institute (Institute of Electronics), Chinese Academy of Sciences & School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences. His research advisors are Prof. Kun Fu and Prof. Xian Sun. Yong-Qiang Mao received the B. E. degree from Electronic Information School, Wuhan University, Wuhan, China, in 2019.

Email / Github / Google Scholar / ORCID

Yong-Qiang Mao's research interests include remote sensing and computer vision, with a focus on 3D Perception (Point Cloud and Reconstruction), Multimodal Remote Sensing (Semantic Segmentation and Object Detection), Cross-modal retrieval, Large Foundation Models, Few-shot Learning.

I am currently a postdoctoral researcher at the Department of Electronic Engineering at Tsinghua University. I am also looking for scientific research collaborators. If you are interested in scientific research cooperation, please feel free to contact me.

[2024/09] One paper about few-shot segmantic segmentation has been accepted by IEEE TPAMI!

[2024/09] One paper about few-shot segmantic segmentation has been accepted by IEEE GRSL!

[2024/08] One paper about multi-view stereo has been accepted by IEEE TGRS!

[2024/05] One paper about ALS point cloud segmentation has been released at by arXiv!

[2024/05] One paper about video and motion joint prediction has been accepted by IEEE TGRS!

[2024/02] One paper about fine-grained 3D building model has been accepted by RSE!

[2023/10] One paper about few-shot segmantic segmentation has been accepted by IEEE TGRS!

[2023/05] One paper about multi-task learning has been accepted by IGARSS2023!

[2023/05] One paper about end-to-end autonomous driving has been released at by arXiv!

[2023/05] One paper about UAV object detection has been accepted by ISPRS Journal!

[2023/04] One paper about building 3d reconstruction has been accepted by IEEE TGRS!

[2023/02] One paper about few-shot object detection has been accepted by IEEE TGRS!

[2023/02] One paper about object detection has been accepted by IEEE TGRS!

[2023/01] We successfully held the 2023 IEEE GRSS Data Fusion Contest (DFC2023)!

[2023/01] One paper about semi-supervised segmentation has been accepted by IEEE TGRS!

[2022/12] One paper about cross-modal retrieval has been accepted by IJAG!

[2022/12] One paper about few-shot object detection has been accepted by AAAI2023!

[2022/09] One paper about multi-modal semantic localization has been accepted by IEEE TGRS!

[2022/07] One paper about point cloud few-shot segmentation has been accepted by IEEE 3DV Oral!

[2022/04] One paper about ALS point cloud segmentation has been accepted by ISPRS Journal!

[2021/12] One paper about visual point cloud segmentation has been accepted by AAAI-DLG 2022!

Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification
Y. Mao, K. Chen, W. Diao, X. Sun, X. Lu, K. Fu, M. Weinmann
ISPRS Journal of Photogrammetry and Remote Sensing (IF=11.77)
Paper / Code / Editor’s Article Choice of the Year 2022

Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery
Y. Mao, K. Chen, L. Zhao, W. Chen, D. Tang, W. Liu, Z. Wang, W. Diao, X. Sun, K. Fu
IEEE Transactions on Geoscience and Remote Sensing (IF=8.125)
Paper / Code

SDL-MVS: View Space and Depth Deformable Learning Paradigm for Multi-View Stereo Reconstruction in Remote Sensing
Y. Mao, H. Bi, L. Xu, K. Chen, Z. Wang, X. Sun, K. Fu
IEEE Transactions on Geoscience and Remote Sensing (IF=8.125)
Paper / Code

Body Joint Boundary Prototype Match for Few Shot Remote Sensing Semantic Segmentation
Y. Mao, Z. Jiang, Y. Liu, Y. Zhang, Y. Li, C. Yan, B. Zhang
IEEE Geoscience and Remote Sensing Letters (IF=4.0)
Paper / Code

Twin Deformable Point Convolutions for Airborne Laser Scanning Point Cloud Classification
Y. Mao, H. Bi, X. Li, K. Chen, Z. Wang, X. Sun, K. Fu
arXiv 2024
Paper / Code

Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes
Y. Mao, Z. Guo, X. Lu, Z. Yuan, H. Guo
2022 International Conference on 3D Vision (3DV2022, Oral)
Paper / Code

LIGHT: JOINT INDIVIDUAL BUILDING EXTRACTION AND HEIGHT ESTIMATION FROM SATELLITE IMAGES THROUGH A UNIFIED MULTITASK LEARNING NETWORK
Y. Mao, X. Sun, X. Huang, K. Chen
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2023)
Paper / Code

Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders
Y. Mao, X. Sun, W. Diao, K. Chen, Z. Guo, X. Lu, K. Fu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) Workshops 2022
Paper / Code

Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes
J. Zhai*, Z. Feng*, J. Du*, Y. Mao*, J. Liu, Z. Tan, Y. Zhang, X. Ye, J. Wang (*Equal contribution)
Technical Report
Paper / Code

Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation
H. Bi, Y. Feng, W. Diao, P. Wang, Y. Mao, K. Fu, H. Wang, X. Sun
IEEE Transactions on Pattern Analysis and Machine Intelligence (IF=20.8)
Paper / Code

GABLE: A first fine-grained 3D building model of China on a national scale from very high resolution satellite imagery
X. Sun, X. Huang, Y. Mao, T. Sheng, J. Li, Z. Wang, X. Lu, X. Ma, D. Tang, K. Chen
Remote Sensing of Environment (IF=11.1)
Paper / Code

OGMN: Occlusion-guided multi-task network for object detection in UAV images
X. Li, W. Diao, Y. Mao, P. Gao, X. Mao, X. Li, X. Sun
ISPRS Journal of Photogrammetry and Remote Sensing (IF=11.77)
Paper / Code

Breaking immutable: Information-coupled prototype elaboration for few-shot object detection
X. Lu, W. Diao, Y. Mao, J. Li, P. Wang, X. Sun, K. Fu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2023
Paper / Code

PICS: Paradigms integration and contrastive selection for semisupervised remote sensing images semantic segmentation
X. Qi, Y. Mao, Y. Zhang, Y. Deng, H. Wei, L. Wang
IEEE Transactions on Geoscience and Remote Sensing (IF=8.125)
Paper / Code

TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes
L. Xu, W. Lu, H. Yu, Y. Mao, H. Bi, C. Liu, X. Sun, K. Fu
IEEE Transactions on Geoscience and Remote Sensing (IF=8.125)
Paper / Code

Few-shot object detection in aerial imagery guided by text-modal knowledge
X. Lu, X. Sun, W. Diao, Y. Mao, J. Li, Y. Zhang, P. Wang, K. Fu
IEEE Transactions on Geoscience and Remote Sensing (IF=8.125)
Paper / Code

Bridging the Gap Between Cumbersome and Light Detectors via Layer-Calibration and Task-Disentangle Distillation in Remote Sensing Imagery
H. Bi, Y. Feng, Z. Yan, Y. Mao, W. Diao, H. Wang, X. Sun
IEEE Transactions on Geoscience and Remote Sensing (IF=8.125)
Paper / Code

Learning to evaluate performance of multi-modal semantic localization
Z. Yuan, W. Zhang, C. Li, Z. Pan, Y. Mao, J. Chen, S. Li, H. Wang, X. Sun
IEEE Transactions on Geoscience and Remote Sensing (IF=8.125)
Paper / Code

Bridging the Gap Between Cumbersome and Light Detectors via Layer-Calibration and Task-Disentangle Distillation in Remote Sensing Imagery
Y. Zhang, Z. Yan, X. Sun, X. Lu, J. Li, Y. Mao, L. Wang
IEEE Transactions on Geoscience and Remote Sensing (IF=8.125)
Paper / Code

MCRN: A Multi-source Cross-modal Retrieval Network for remote sensing
Z. Yuan, W. Zhang, C. Tian, Y. Mao, R. Zhou, H. Wang, K. Fu, X. Sun
International Journal of Applied Earth Observation and Geoinformation (IF=7.5)
Paper / Code

HeightFormer: A Multilevel Interaction and Image-Adaptive Classification–Regression Network for Monocular Height Estimation with Aerial Images
Z. Chen, Y. Zhang, X. Qi, Y. Mao, X. Zhou, L. Wang, Y. Ge
Remote Sensing(IF=4.2)
Paper / Code