| 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 | 684 | 2020 |
| 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 | 602 | 2020 |
| 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 | 167 | 2019 |
| 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 | 60 | 2020 |
| 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 | 53 | 2020 |
| 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 | 50 | 2020 |
| 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 | 30 | 2021 |
| 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 | 19 | 2017 |
| Sqn: Weakly-supervised semantic segmentation of large-scale 3d point clouds Q Hu, B Yang, G Fang, Y Guo, A Leonardis, N Trigoni, A Markham European Conference on Computer Vision (ECCV 2022), 2021 | 18* | 2021 |
| 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 | 13 | 2019 |
| 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 | 13 | 2017 |
| 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 | 9 | 2017 |
| Sensaturban: Learning semantics from urban-scale photogrammetric point clouds Q Hu, B Yang, S Khalid, W Xiao, N Trigoni, A Markham International Journal of Computer Vision 130 (2), 316-343, 2022 | 8 | 2022 |
| Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds Y Zhang, Q Hu*, G Xu, Y Ma, J Wan, Y Guo IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022 | 7 | 2022 |
| 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 | 7 | 2018 |
| 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 | 7 | 2016 |
| Development and validation of a deep learning algorithm to automatic detection of pituitary microadenoma from MRI Q Li, Y Zhu, M Chen, R Guo, Q Hu, Y Lu, Z Deng, S Deng, T Zhang, ... Frontiers in Medicine 8, 2021 | 3 | 2021 |
| 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 | 3 | 2018 |
| 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 | 2 | 2021 |
| You Only Train Once: Learning General and Distinctive 3D Local Descriptors S Ao, Y Guo, Q Hu, B Yang, A Markham, Z Chen IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 1 | 2022 |
Yulan GuoSenior Member of IEEE & ACMVerified email at nudt.edu.cn
