Adaptive graph convolution for point cloud analysis H Zhou, Y Feng, M Fang, M Wei, J Qin, T Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 136 | 2021 |
Seedformer: Patch seeds based point cloud completion with upsample transformer H Zhou, Y Cao, W Chu, J Zhu, T Lu, Y Tai, C Wang European conference on computer vision, 416-432, 2022 | 69 | 2022 |
Geometry and learning co-supported normal estimation for unstructured point cloud H Zhou, H Chen, Y Feng, Q Wang, J Qin, H Xie, FL Wang, M Wei, J Wang Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 31 | 2020 |
Refine-net: Normal refinement neural network for noisy point clouds H Zhou, H Chen, Y Zhang, M Wei, H Xie, J Wang, T Lu, J Qin, XP Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 946-963, 2022 | 27 | 2022 |
AGConv: Adaptive graph convolution on 3D point clouds M Wei, Z Wei, H Zhou, F Hu, H Si, Z Chen, Z Zhu, J Qiu, X Yan, Y Guo, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 20 | 2023 |
Ovpt: Optimal viewset pooling transformer for 3d object recognition W Wang, G Chen, H Zhou, X Wang Proceedings of the Asian Conference on Computer Vision, 4444-4461, 2022 | 7 | 2022 |
Fusion of a static and dynamic convolutional neural network for multiview 3D point cloud classification W Wang, H Zhou, G Chen, X Wang Remote Sensing 14 (9), 1996, 2022 | 6 | 2022 |
Multi-view SoftPool attention convolutional networks for 3D model classification W Wang, X Wang, G Chen, H Zhou Frontiers in Neurorobotics 16, 1029968, 2022 | 2 | 2022 |