| Not all points are equal: Learning highly efficient point-based detectors for 3d lidar point clouds Y Zhang, Q Hu, G Xu, Y Ma, J Wan, Y Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 226 | 2022 |
| Dynamic edge weights in graph neural networks for 3D object detection S Thakur, J Peethambaran arXiv preprint arXiv:2009.08253, 2020 | 7 | 2020 |
| Towards video based collective motion analysis through shape tracking and matching B Pandey, S Thakur, H Joshi, A Pradhanga, Y Akiyama, J Peethambaran Electronics Letters 56 (17), 881-884, 2020 | 5 | 2020 |
| GAGAT: Global Aware Graph Attention Network for 3D Classification and Segmentation S Thakur, P Kudeshia, S ArabiNaree, D Chen, J Peethambaran IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| A Graph Attention Network for Object Detection from Raw LiDAR Data S Thakur, B Pandey, J Peethambaran, D Chen IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | | 2022 |
| Graph attention networks for point cloud processing S Thakur Halifax, NS: Saint Mary's University, 2021 | | 2021 |
Bivash PandeyUndergraduate Student, Saint Mary's UniversityVerified email at smu.ca
