Pei Sun
Pei Sun
Google Deepmind
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Cited by
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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
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
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
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
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
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
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
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
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
A Bewley, P Sun, T Mensink, D Anguelov, C Sminchisescu
CoRL 2020, 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
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
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
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
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
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
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
Controlling vehicles through multi-lane turns
JS Russell, JSR Gutmann, P Sun
US Patent 11,054,834, 2021
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
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
Efficient three-dimensional object detection from point clouds
P Sun, W Wang, Y Chai, X Zhang, D Anguelov
US Patent App. 17/527,653, 2022
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