Ngiam, Jiquan

17 publications

CVPR 2022 DeepFusion: LiDAR-Camera Deep Fusion for Multi-Modal 3D Object Detection Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan Yuille, Mingxing Tan

ICLR 2022 Scene Transformer: A Unified Architecture for Predicting Future Trajectories of Multiple Agents Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens

CVPR 2021 3D-MAN: 3D Multi-Frame Attention Network for Object Detection Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam

ICCV 2021 Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

CVPR 2021 To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov

ECCV 2020 Improving 3D Object Detection Through Progressive Population Based Augmentation Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov

NeurIPS 2020 Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov

ECCV 2020 Streaming Object Detection for 3-D Point Clouds Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen

NeurIPS 2019 CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang, Gabriel Bender, Quoc V Le, Jiquan Ngiam

CoRL 2019 End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan

NeurIPS 2019 GPipe: Efficient Training of Giant Neural Networks Using Pipeline Parallelism Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V Le, Yonghui Wu, Zhifeng Chen

NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam, Andrew Y. Ng

ICML 2011 Learning Deep Energy Models Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng

ICML 2011 Multimodal Deep Learning Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, Andrew Y. Ng

ICML 2011 On Optimization Methods for Deep Learning Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng

NeurIPS 2011 Sparse Filtering Jiquan Ngiam, Zhenghao Chen, Sonia A. Bhaskar, Pang W. Koh, Andrew Y. Ng

NeurIPS 2010 Tiled Convolutional Neural Networks Jiquan Ngiam, Zhenghao Chen, Daniel Chia, Pang W. Koh, Quoc V. Le, Andrew Y. Ng