| 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 | 213 | 2021 |
| Adaptive hierarchical down-sampling for point cloud classification E Nezhadarya, E Taghavi, R Razani, B Liu, J Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 124 | 2020 |
| Tornado-net: multiview total variation semantic segmentation with diamond inception module M Gerdzhev, R Razani, E Taghavi, L Bingbing 2021 IEEE International Conference on Robotics and Automation (ICRA), 9543-9549, 2021 | 84 | 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 | 44 | 2021 |
| 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 | 40 | 2021 |
| 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 | 28 | 2021 |
| Smac-seg: Lidar panoptic segmentation via sparse multi-directional attention clustering E Li, R Razani, Y Xu, B Liu 2022 International Conference on Robotics and Automation (ICRA), 9207-9213, 2022 | 14 | 2022 |
| Adaptive binary-ternary quantization R Razani, G Morin, E Sari, VP Nia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 14* | 2021 |
| Cpseg: Cluster-free panoptic segmentation of 3d lidar point clouds E Li, R Razani, Y Xu, B Liu 2023 IEEE International Conference on Robotics and Automation (ICRA), 8239-8245, 2023 | 13 | 2023 |
| A reduced complexity MFCC-based deep neural network approach for speech enhancement R Razani, H Chung, Y Attabi, B Champagne 2017 IEEE International Symposium on Signal Processing and Information …, 2017 | 7 | 2017 |
| 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 | 5 | 2021 |
| Method and system for graph-based panoptic segmentation R Cheng, R Razani, B Liu US Patent 11,816,841, 2023 | 4 | 2023 |
| TORNADO-Net: MulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module. arXiv 2020 M Gerdzhev, R Razani, E Taghavi, B Liu arXiv preprint arXiv:2008.10544, 0 | 4 | |
| Training method for quantizing the weights and inputs of a neural network VP NIA, R Razani US Patent App. 17/031,817, 2021 | 3 | 2021 |
| 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 |
| Systems and methods for hybrid real-time multi-fusion point cloud perception E Taghavi, R Razani, B Liu US Patent App. 17/902,728, 2024 | | 2024 |
| Systems and methods for enhancement of 3d object detection using point cloud semantic segmentation and attentive anchor generation E Taghavi, R Razani, B Liu US Patent App. 17/827,963, 2023 | | 2023 |
| Semantic segmentation using a targeted total variation loss MI Gerdzhev, E Taghavi, R Razani, B Liu US Patent App. 18/160,662, 2023 | | 2023 |
| System and method for panoptic segmentation of point clouds TE LI, R Razani, B Liu US Patent App. 17/899,451, 2023 | | 2023 |
| Methods and systems for deterministic calculation of surface normal vectors for sparse point clouds TE LI, R Razani, Y Ren, B Liu US Patent App. 17/903,698, 2023 | | 2023 |
Bingbing LiuResearcher, HuaweiVerified email at huawei.com
