| COVID-19 CT lung and infection segmentation dataset M Jun, G Cheng, W Yixin, A Xingle, G Jiantao, Y Ziqi, Z Minqing, L Xin, ... Zenodo, 2020 | 258 | 2020 |
| Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion X Yan*, J Gao*, J Li, R Zhang, Z Li, R Huang, S Cui Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3101-3109, 2021 | 184 | 2021 |
| 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds X Yan*, J Gao*, C Zheng*, C Zheng, R Zhang, S Cui, Z Li arXiv preprint arXiv:2207.04397, 2022 | 163 | 2022 |
| Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds C Zheng, X Yan, J Gao, W Zhao, W Zhang, Z Li, S Cui Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 81 | 2021 |
| Characterizing label errors: confident learning for noisy-labeled image segmentation M Zhang, J Gao, Z Lyu, W Zhao, Q Wang, W Ding, S Wang, Z Li, S Cui Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 40 | 2020 |
| Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis X Yan, H Zhan, C Zheng, J Gao, R Zhang, S Cui, Z Li arXiv preprint arXiv:2210.04208, 2022 | 23 | 2022 |
| Balanced Sample Assignment and Objective for Single-Model Multi-Class 3D Object Detection W Xiao, Y Peng, C Liu, J Gao, Y Wu, X Li IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 10 | 2023 |
| Spatio-Temporal Contextual Learning for Single Object Tracking on Point Clouds J Gao, X Yan, W Zhao, Z Lyu, Y Liao, C Zheng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 10 | 2023 |
| 3D-VDNet: Exploiting the vertical distribution characteristics of point clouds for 3D object detection and augmentation W Xiao, X Li, C Liu, J Gao, J Luo, Y Peng, Y Zhou Image and Vision Computing 127, 104557, 2022 | 6 | 2022 |
| PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery W Zhao, X Yan, J Gao, R Zhang, J Zhang, Z Li, S Wu, S Cui Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 6 | 2021 |
| Diverse receptive field network with context aggregation for fast object detection S Xie, C Liu, J Gao, X Li, J Luo, B Fan, J Chen, H Pu, Y Peng Journal of Visual Communication and Image Representation 70, 102770, 2020 | 6 | 2020 |
| Camera-LiDAR Cross-Modality Fusion Water Segmentation for Unmanned Surface Vehicles J Gao, J Zhang, C Liu, X Li, Y Peng Journal of Marine Science and Engineering 10 (6), 744, 2022 | 4 | 2022 |
| Mitigate the Classification Ambiguity via Localization-Classification Sequence in Object Detection C Liu, S Xie, X Li, J Gao, W Xiao, B Fan, Y Peng Pattern Recognition, 109418, 2023 | 3 | 2023 |
| RE-Det3D: RoI-enhanced 3D object detector Y Wu, W Xiao, C Liu, J Gao, J Sun, G Tan, X Li Image and Vision Computing 121, 104430, 2022 | 3 | 2022 |
| Efficient Water Segmentation with Transformer and Knowledge Distillation for USVs J Zhang, J Gao, J Liang, Y Wu, B Li, Y Zhai, X Li Journal of Marine Science and Engineering 11 (5), 901, 2023 | | 2023 |
| Soft labeling with quasi-Gaussian structure for training samples of deep classification trackers Y Peng, J Gao, C Liu, X Li, B Fan, J Chen, J Luo, S Xie, H Pu International Journal of Advanced Robotic Systems 17 (2), 1729881420915025, 2020 | | 2020 |
| COVID-19 CT lung and infection segmentation dataset 2020 M Jun, G Cheng, W Yixin, A Xingle, G Jiantao, Y Ziqi, Z Minqing, L Xin, ... Verson, 2020 | | 2020 |
| CBCenterDet: 2nd Place Solution to the 3D Object Detection of the SSLAD2022 Challenge W Xiao, Y Wu, J Gao, X Li | | |
| COVID-19 CT Lung and Infection Segmentation Dataset (Verson 1.0)[Data set]. Zenodo, 2020 M Jun, G Cheng, W Yixin, A Xingle, G Jiantao, Y Ziqi, Z Minqing, L Xin, ... | | |
Xu Yan (颜旭)Huawei Noah's Ark Lab, The Chinese University of Hong Kong (Shenzhen)Verified email at huawei.com
