Qingyong Hu
TitleCited byYear
Learning object bounding boxes for 3d instance segmentation on point clouds
B Yang, J Wang, R Clark, Q Hu, S Wang, A Markham, N Trigoni
Advances in Neural Information Processing Systems, 6737-6746, 2019
82019
Object tracking using multiple features and adaptive model updating
Q Hu, Y Guo, Z Lin, W An, H Cheng
IEEE Transactions on Instrumentation and Measurement 66 (11), 2882-2897, 2017
82017
Correlation Filter Tracking: Beyond an Open-loop System
Q Hu, Y Guo, Y Chen, J Xiao, W An
British Machine Vision Conference (BMVC), 0
8*
Fast correlation tracking using low-dimensional scale filter and local search strategy
Q Hu, Y Guo, Z Lin, X Deng, W An
IEEE Access 5, 8568-8578, 2017
72017
Robust and real-time object tracking using scale-adaptive correlation filters
Q Hu, Y Guo, Z Lin, W An, H Cheng
2016 International Conference on Digital Image Computing: Techniques and …, 2016
52016
RandLA-Net: Efficient semantic segmentation of large-scale point clouds
Q Hu, B Yang, L Xie, S Rosa, Y Guo, Z Wang, N Trigoni, A Markham
arXiv preprint arXiv:1911.11236, 2019
22019
Robust long-term tracking via instance specific proposals
H Liu, Q Hu, B Li, Y Guo
IEEE Transactions on Instrumentation and Measurement, 2019
22019
Semi-online multiple object tracking using graphical tracklet association
J Wang, Y Guo, X Tang, Q Hu, W An
IEEE Signal Processing Letters 25 (11), 1725-1729, 2018
22018
Deep Learning for 3D Point Clouds: A Survey
Y Guo, H Wang, Q Hu, H Liu, L Liu, M Bennamoun
arXiv preprint arXiv:1912.12033, 2019
2019
Long-term Object Tracking with Instance Specific Proposals
H Liu, Q Hu, B Li, Y Guo
2018 24th International Conference on Pattern Recognition (ICPR), 1628-1633, 2018
2018
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Articles 1–10