Polarnet: An improved grid representation for online lidar point clouds semantic segmentation Y Zhang, Z Zhou, P David, X Yue, Z Xi, B Gong, H Foroosh CVPR 2020, 2020 | 593 | 2020 |
CenterFormer: Center-based Transformer for 3D Object Detection Z Zhou, X Zhao, Y Wang, P Wang, H Foroosh ECCV 2022, 2022 | 170 | 2022 |
Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation Z Zhou, Y Zhang, H Foroosh CVPR 2021, 2021 | 140 | 2021 |
LidarMultiNet: Towards a Unified Multi-task Network for LiDAR Perception D Ye, Z Zhou, W Chen, Y Xie, Y Wang, P Wang, H Foroosh AAAI 2023, 2023 | 83 | 2023 |
Accurate initial state estimation in a monocular visual–inertial SLAM system X Mu, J Chen, Z Zhou, Z Leng, L Fan Sensors, 2018 | 24 | 2018 |
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network D Ye, W Chen, Z Zhou, Y Xie, Y Wang, P Wang, H Foroosh arXiv preprint arXiv:2206.11428, 2022 | 12 | 2022 |
LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network D Ye, Y Xie, W Chen, Z Zhou, H Foroosh ICRA 2024, 2024 | 10 | 2024 |
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception Z Zhou, D Ye, W Chen, Y Xie, Y Wang, P Wang, H Foroosh ICRA 2024, 2024 | 8 | 2024 |
An optical see-through augmented reality system with gesture-based interaction L Zhen, C Jing, Z Zixiang, T Qiushuo, H Ningsheng 2016 International Conference on Virtual Reality and Visualization (ICVRV …, 2016 | 6 | 2016 |
LAMP: Leveraging Language Prompts for Multi-person Pose Estimation S Hu, C Zheng, Z Zhou, C Chen, G Sukthankar IROS 2023, 2023 | 5 | 2023 |
Towards a Robust and Efficient Deep Neural Network for the Lidar Point Cloud Perception Z Zhou | | 2023 |