| 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 Computer Vision and Pattern Recognition (CVPR, Oral), 2020, 2020 | 1517 | 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 Spotlight), 2019, 2019 | 311 | 2019 |
| GRF: Learning a General Radiance Field for 3D Representation and Rendering A Trevithick, B Yang International Conference on Computer Vision (ICCV), 2021, 2021 | 274* | 2021 |
| SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration S Ao, Q Hu, B Yang, A Markham, Y Guo Computer Vision and Pattern Recognition (CVPR), 2021, 2021 | 223 | 2021 |
| 3D Object Reconstruction from a Single Depth View with Adversarial Learning B Yang, H Wen, S Wang, R Clark, A Markham, N Trigoni International Conference on Computer Vision Workshops (ICCVW), 2017, 2017 | 211 | 2017 |
| Dense 3D Object Reconstruction from a Single Depth View B Yang, S Rosa, A Markham, N Trigoni, H Wen IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018, 2018 | 161 | 2018 |
| 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 Computer Vision and Pattern Recognition (CVPR), 2021, 2021 | 156 | 2021 |
| Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction B Yang, S Wang, A Markham, N Trigoni International Journal of Computer Vision (IJCV), 2020, 2020 | 125 | 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 (TPAMI), 2021, 2021 | 123 | 2021 |
| 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, 2022 | 100 | 2022 |
| DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network W Wang, MRU Saputra, P Zhao, P Gusmao, B Yang, C Chen, A Markham, ... International Conference on Intelligent Robots and Systems (IROS), 2019, 2019 | 52 | 2019 |
| 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 (IJCV), 2022, 2022 | 50 | 2022 |
| DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images B Wang, L Chen, B Yang International Conference on Learning Representations (ICLR), 2023, 2023 | 47 | 2023 |
| PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization W Wang, B Wang, P Zhao, C Chen, R Clark, B Yang, A Markham, ... IEEE Sensors Journal, 2021, 2021 | 40 | 2021 |
| 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations Z Wang, S Rosa, B Yang, S Wang, N Trigoni, A Markham International Joint Conference on Artificial Intelligence (IJCAI), 2018, 2018 | 35 | 2018 |
| RadarLoc: Learning to Relocalize in FMCW Radar W Wang, PPB de Gusmo, B Yang, A Markham, N Trigoni International Conference on Robotics and Automation (ICRA), 2021, 2021 | 23 | 2021 |
| OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds Z Song, B Yang Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022 | 22 | 2022 |
| Updating Wireless Signal Map with Bayesian Compressive Sensing B Yang, S He, SHG Chan ACM MSWiM, 2016, 2016 | 22 | 2016 |
| GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds Z Zhang, B Yang, B Wang, B Li Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2023 | 20 | 2023 |
| Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images Y Yang, B Yang Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022 | 17 | 2022 |
