| AF2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network R Cheng, R Razani, E Taghavi, E Li, B Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 279 | 2021 |
| S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds R Cheng, C Agia, Yuan Ren, Xinhai Li, Liu Bingbing 4th Conference on Robot Learning, 2020 | 132 | 2020 |
| Lite-hdseg: Lidar semantic segmentation using lite harmonic dense convolutions R Razani, R Cheng, E Taghavi, L Bingbing 2021 IEEE International Conference on Robotics and Automation (ICRA), 9550-9556, 2021 | 56 | 2021 |
| Gp-s3net: Graph-based panoptic sparse semantic segmentation network R Razani, R Cheng, E Li, E Taghavi, Y Ren, L Bingbing Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 56 | 2021 |
| Vision-based autonomous underwater swimming in dense coral for combined collision avoidance and target selection T Manderson, JCG Higuera, R Cheng, G Dudek 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 55 | 2018 |
| S3Net: 3D LiDAR sparse semantic segmentation network R Cheng, R Razani, Y Ren, L Bingbing 2021 IEEE International Conference on Robotics and Automation (ICRA), 14040 …, 2021 | 35 | 2021 |
| Lightweight semantic-aided localization with spinning LiDAR sensor Y Ren, B Liu, R Cheng, C Agia IEEE Transactions on Intelligent Vehicles, 2021 | 15 | 2021 |
| Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation J Wen, Y Zhu, J Li, M Zhu, K Wu, Z Xu, N Liu, R Cheng, C Shen, Y Peng, ... arXiv preprint arXiv:2409.12514, 2024 | 14 | 2024 |
| 2-S3NET: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network. In 2021 IEEE R Cheng, R Razani, E Taghavi, E Li, B Liu CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12542-12551, 2021 | 8 | 2021 |
| Depth Prediction for Monocular Direct Visual Odometry R Cheng, Christopher Agia, David Meger, Gregory Dudek 17th Conference on Computer and Robot Vision (CRV) 9108693 (10.1109/CRV50864 …, 2020 | 6 | 2020 |
| Scaling diffusion policy in transformer to 1 billion parameters for robotic manipulation M Zhu, Y Zhu, J Li, J Wen, Z Xu, N Liu, R Cheng, C Shen, Y Peng, F Feng, ... arXiv preprint arXiv:2409.14411, 2024 | 5 | 2024 |
| Method and system for graph-based panoptic segmentation R Cheng, R Razani, B Liu US Patent 11,816,841, 2023 | 5 | 2023 |
| Latent attention augmentation for robust autonomous driving policies R Cheng, C Agia, F Shkurti, D Meger, G Dudek 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 5 | 2021 |
| Navigation in the service of enhanced pose estimation T Manderson, R Cheng, D Meger, G Dudek Proceedings of the 2018 International Symposium on Experimental Robotics …, 2020 | 2 | 2020 |
| Methods and systems for semantic segmentation of a point cloud R Cheng, R Razani, B Liu US Patent App. 17/378,155, 2023 | 1 | 2023 |
| Spotlights: Probing shapes from spherical viewpoints J Wei, L Liu, R Cheng, W Jiang, M Xu, X Jiang, T Sun, S Schwertfeger, ... Proceedings of the Asian Conference on Computer Vision, 4310-4326, 2022 | 1 | 2022 |
| MV-ROPE: Multi-view Constraints for Robust Category-level Object Pose and Size Estimation J Yang, Y Chen, X Meng, C Yan, M Li, R Cheng, L Liu, T Sun, L Kneip 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | | 2024 |
| Methods and systems for semantic scene completion for sparse 3D data R Cheng, CG Agia, B Liu, Y Ren US Patent 12,079,970, 2024 | | 2024 |
| Systems and methods for generating a road surface semantic segmentation map from a sequence of point clouds CG Agia, R Cheng, Y Ren, B Liu US Patent 12,008,762, 2024 | | 2024 |
| Scale jump-aware pose graph relaxation for monocular SLAM with re-initializations R Yuan, R Cheng, L Liu, T Sun, L Kneipl 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
Bingbing LiuResearcher, HuaweiVerified email at huawei.com
