| Scalability in Perception for Autonomous Driving: Waymo Open Dataset P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ... Conference on Computer Vision and Pattern Recognition, 2020 | 1920 | 2020 |
| End-to-end multi-view fusion for 3d object detection in lidar point clouds Y Zhou, P Sun, Y Zhang, D Anguelov, J Gao, T Ouyang, J Guo, J Ngiam, ... Conference on Robot Learning, 923-932, 2020 | 324 | 2020 |
| Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 285 | 2021 |
| Offboard 3d object detection from point cloud sequences CR Qi, Y Zhou, M Najibi, P Sun, K Vo, B Deng, D Anguelov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 130 | 2021 |
| Rsn: Range sparse net for efficient, accurate lidar 3d object detection P Sun, W Wang, Y Chai, G Elsayed, A Bewley, X Zhang, C Sminchisescu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 129 | 2021 |
| Starnet: Targeted computation for object detection in point clouds J Ngiam, B Caine, W Han, B Yang, Y Chai, P Sun, Y Zhou, X Yi, O Alsharif, ... arXiv preprint arXiv:1908.11069, 2019 | 100 | 2019 |
| Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection A Bewley, P Sun, T Mensink, D Anguelov, C Sminchisescu CoRL 2020, 2020 | 93 | 2020 |
| Surfelgan: Synthesizing realistic sensor data for autonomous driving Z Yang, Y Chai, D Anguelov, Y Zhou, P Sun, D Erhan, S Rafferty, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 77 | 2020 |
| To the point: Efficient 3d object detection in the range image with graph convolution kernels Y Chai, P Sun, J Ngiam, W Wang, B Caine, V Vasudevan, X Zhang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 51 | 2021 |
| SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds P Sun, M Tan, W Wang, C Liu, F Xia, Z Leng, D Anguelov ECCV 2022, 2022 | 43 | 2022 |
| Scalability in perception for autonomous driving: Waymo open dataset. arXiv 2019 P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ... arXiv preprint arXiv:1912.04838, 1912 | 15 | 1912 |
| Efficient incremental analysis of on-chip power grid via sparse approximation P Sun, X Li, MY Ting Proceedings of the 48th Design Automation Conference, 676-681, 2011 | 12 | 2011 |
| LiDAR augment: Searching for scalable 3D LiDAR data augmentations Z Leng, G Li, C Liu, ED Cubuk, P Sun, T He, D Anguelov, M Tan 2023 IEEE International Conference on Robotics and Automation (ICRA), 7039-7045, 2023 | 4 | 2023 |
| Object-centric three-dimensional auto labeling of point cloud data QI Ruizhongtai, Y Zhou, D Anguelov, P Sun US Patent App. 17/407,795, 2022 | 4 | 2022 |
| LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds C Liu, Z Leng, P Sun, S Cheng, CR Qi, Y Zhou, M Tan, D Anguelov ECCV 2022, 2022 | 3 | 2022 |
| Processing point clouds using dynamic voxelization Y Zhou, P Sun, Y Zhang, D Anguelov, J Gao, Y Ouyang, Z Guo, J Ngiam, ... US Patent 11,164,363, 2021 | 3 | 2021 |
| Generating Environmental Data Z Yang, Y Chai, Y Zhou, P Sun, H Kretzschmar, S Rafferty, D Erhan, ... US Patent App. 17/098,943, 2021 | 3 | 2021 |
| WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting K Chen, R Ge, H Qiu, R Ai-Rfou, CR Qi, X Zhou, Z Yang, S Ettinger, P Sun, ... arXiv preprint arXiv:2304.03834, 2023 | 2 | 2023 |
| Object detection in point clouds J Shlens, PAP Nguyen, BJ Caine, J Ngiam, W Han, BC Yang, Y Chai, ... US Patent 11,450,120, 2022 | 1 | 2022 |
| Multi-modal multi-agent trajectory prediction P Sun, H Zhao, A McCauley, B Sapp, J Gao, D Anguelov, X Huang, ... US Patent App. 17/540,140, 2022 | 1 | 2022 |
Dragomir AnguelovDistinguished Researcher, WaymoVerified email at cs.stanford.edu
