Jiquan Ngiam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2011–2022
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | CVPR | DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. | Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan |
| 2022 | ICLR | 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, Ben Sapp, Zhifeng Chen, Jonathon Shlens |
| 2021 | CVPR | 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 |
| 2021 | CVPR | 3D-MAN: 3D Multi-Frame Attention Network for Object Detection. | Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam |
| 2021 | ICCV | 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, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov |
| 2020 | ACL | Learning a Multi-Domain Curriculum for Neural Machine Translation. | Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh |
| 2020 | CVPR | Scalability in Perception for Autonomous Driving: Waymo Open Dataset. | Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov |
| 2020 | ECCV | 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 |
| 2020 | ECCV | 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 |
| 2019 | CoRL | 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 |
| 2017 | EDM | Real-time programming exercise feedback in MOOCs. | Zhenghao Chen, Andy Nguyen, Amory Schlender, Jiquan Ngiam |
| 2011 | ICML | On optimization methods for deep learning. | Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng |
| 2011 | ICML | Learning Deep Energy Models. | Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng |
| 2011 | ICML | Multimodal Deep Learning. | Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, Andrew Y. Ng |