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DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction


Sep 20, 2022
Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li

* Accepted by European Conference on Computer Vision 2022 (ECCV2022) 

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4DAC: Learning Attribute Compression for Dynamic Point Clouds


Apr 25, 2022
Guangchi Fang, Qingyong Hu, Yiling Xu, Yulan Guo


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Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds


Mar 30, 2022
Ta-Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham


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No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces


Mar 23, 2022
Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham

* To appear at CVPR 2022 (Source Code: https://github.com/jx-zhong-for-academic-purpose/Kinet

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Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds


Mar 21, 2022
Yifan Zhang, Qingyong Hu, Guoquan Xu, Yanxin Ma, Jianwei Wan, Yulan Guo

* CVPR2022, code avaliable at: https://github.com/yifanzhang713/IA-SSD 

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3DAC: Learning Attribute Compression for Point Clouds


Mar 17, 2022
Guangchi Fang, Qingyong Hu, Hanyun Wang, Yiling Xu, Yulan Guo


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STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset


Mar 17, 2022
Meida Chen, Qingyong Hu, Thomas Hugues, Andrew Feng, Yu Hou, Kyle McCullough, Lucio Soibelman


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SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds


Jan 12, 2022
Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham

* Accepted by IJCV 2022 

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Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision


Jan 09, 2022
Yan Liu, Qingyong Hu, Yinjie Lei, Kai Xu, Jonathan Li, Yulan Guo

* 9 pages, 7 figures 

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Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark


Nov 25, 2021
Qian Yin, Qingyong Hu, Hao Liu, Feng Zhang, Yingqian Wang, Zaiping Lin, Wei An, Yulan Guo

* This paper has been accepted by IEEE Transactions on Geoscience and Remote Sensing. Qian Yin and Qingyong Hu have equal contributions to this work and are co-first authors. The dataset is available at https://github.com/QingyongHu/VISO 

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