Ngiam, Jiquan

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Sun, P., Kretzschmar, H., Dotiwalla, X., Chouard, A., Patnaik, V., Tsui, P., Guo, J., Zhou, Y., Chai, Y., Caine, B., et al. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 3,437

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Huang, Y., Cheng, Y., Bapna, A., Firat, O., Chen, M. X., Chen, D., Lee, H., Ngiam, J., Le, Q. V., Wu, Y., et al. (2018) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 1,180

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

Ettinger, S., Cheng, S., Caine, B., Liu, C., Zhao, H., Pradhan, S., Chai, Y., Sapp, B., Qi, C., Zhou, Y., et al. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Autonomous Vehicle Technology and SafetyTraffic Prediction and Management Techniques

Cited by 584

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

Li, Y., Yu, A. W., Meng, T., Caine, B., Ngiam, J., Peng, D., Shen, J., Lu, Y., Zhou, D., Le, Q. V., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 563

Scene Transformer: A unified architecture for predicting multiple agent trajectories

Ngiam, J., Caine, B., Vasudevan, V., Zhang, Z., Chiang, H.-T. L., Ling, J., Roelofs, R., Bewley, A., Liu, C., Venugopal, A., et al. (2021) · arXiv

Autonomous Vehicle Technology and SafetyTraffic Prediction and Management Techniques

Cited by 84