Qingyong Hu
Qingyong Hu
Ph.D. of Computer Science, University of Oxford
Verified email at cs.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Deep learning for 3d point clouds: A survey
Y Guo, H Wang, Q Hu, H Liu, L Liu, M Bennamoun
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2020
3262020
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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020
3022020
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 (NeurIPS 2019), 6737-6746, 2019
1132019
Axiom-based grad-cam: Towards accurate visualization and explanation of cnns
R Fu, Q Hu, X Dong, Y Guo, Y Gao, B Li
BMVC 2020, 2020
212020
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Q Hu, B Yang, S Khalid, W Xiao, N Trigoni, A Markham
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2020
202020
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
162017
Correlation Filter Tracking: Beyond an Open-loop System
Q Hu, Y Guo, Y Chen, J Xiao, W An
British Machine Vision Conference (BMVC), 152.1-152.12, 2017
122017
Robust long-term tracking via instance specific proposals
H Liu, Q Hu, B Li, Y Guo
IEEE Transactions on Instrumentation and Measurement (IEEE TIM), 2019
102019
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
92017
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
S Ao, Q Hu, B Yang, A Markham, Y Guo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2020
82020
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
72016
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling
Q Hu, B Yang, L Xie, S Rosa, Y Guo, Z Wang, N Trigoni, A Markham
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
42021
Semi-online multiple object tracking using graphical tracklet association
J Wang, Y Guo, X Tang, Q Hu, W An
IEEE Signal Processing Letters (IEEE SPL) 25 (11), 1725-1729, 2018
32018
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
32018
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels
Q Hu, B Yang, G Fang, Y Guo, A Leonardis, N Trigoni, A Markham
arXiv preprint arXiv:2104.04891, 2021
22021
Continuous Mapping Convolution for Large-Scale Point Clouds Semantic Segmentation
K Yan, Q Hu, H Wang, X Huang, L Li, S Ji
IEEE Geoscience and Remote Sensing Letters, 2021
2021
Automatic detection of pituitary microadenoma from magnetic resonance imaging using deep learning algorithms
Q Li, Y Zhu, M Chen, R Guo, Q Hu, Z Deng, S Deng, H Wen, R Gao, Y Nie, ...
medRxiv, 2021
2021
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