| Scalability in perception for autonomous driving: Waymo open dataset P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1479 | 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 | 168 | 2021 |
| Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection Y Li, AW Yu, T Meng, B Caine, J Ngiam, D Peng, J Shen, Y Lu, D Zhou, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 97 | 2022 |
| 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 | 90 | 2019 |
| Improving 3d object detection through progressive population based augmentation S Cheng, Z Leng, ED Cubuk, B Zoph, C Bai, J Ngiam, Y Song, B Caine, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 71 | 2020 |
| Scene transformer: A unified multi-task model for behavior prediction and planning J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ... arXiv preprint arXiv:2106.08417 2 (7), 2021 | 47 | 2021 |
| 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 | 37 | 2021 |
| Scene Transformer: A unified architecture for predicting multiple agent trajectories J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ... arXiv preprint arXiv:2106.08417, 2021 | 29 | 2021 |
| Scene transformer: A unified architecture for predicting future trajectories of multiple agents J Ngiam, V Vasudevan, B Caine, Z Zhang, HTL Chiang, J Ling, R Roelofs, ... International Conference on Learning Representations, 2022 | 28 | 2022 |
| Pseudo-labeling for scalable 3D object detection B Caine, R Roelofs, V Vasudevan, J Ngiam, Y Chai, Z Chen, J Shlens arXiv preprint arXiv:2103.02093, 2021 | 26 | 2021 |
| Streaming object detection for 3-d point clouds W Han, Z Zhang, B Caine, B Yang, C Sprunk, O Alsharif, J Ngiam, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 18 | 2020 |
| When does dough become a bagel? analyzing the remaining mistakes on imagenet V Vasudevan, B Caine, R Gontijo Lopes, S Fridovich-Keil, R Roelofs Advances in Neural Information Processing Systems 35, 6720-6734, 2022 | 13 | 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, 0 | 13 | |
| PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds Z Leng, S Cheng, B Caine, W Wang, X Zhang, J Shlens, M Tan, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 2 | 2022 |
| 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 |
| CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships R Roelofs, L Sun, B Caine, KS Refaat, B Sapp, S Ettinger, W Chai arXiv preprint arXiv:2207.03586, 2022 | 1 | 2022 |
| Streaming object detection within sensor data J Shlens, V Vasudevan, J Ngiam, W Han, Z Chen, BC Yang, BJ Caine, ... US Patent App. 17/901,224, 2022 | | 2022 |
| Machine learning models for behavior understanding J Shlens, V Vasudevan, J Ngiam, BJ Caine, Z Zhang, Z Chen, HT Chiang, ... US Patent App. 17/828,778, 2022 | | 2022 |
| Streaming object detection within sensor data J Shlens, V Vasudevan, J Ngiam, W Han, Z Chen, BC Yang, BJ Caine, ... US Patent 11,508,147, 2022 | | 2022 |
| Three-dimensional object detection using pseudo-labels BJ Caine, RD Roelofs, J Shlens, Z Chen, J Ngiam, V Vasudevan US Patent App. 17/547,143, 2022 | | 2022 |
Jiquan NgiamGoogle BrainVerified email at google.com
