Jiquan Ngiam

According to our database, Jiquan Ngiam authored at least 32 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan

CoRR, 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, Ben Sapp, Zhifeng Chen, Jonathon Shlens

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Scene Transformer: A unified multi-task model for behavior prediction and planning.

Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens

CoRR, 2021

Pseudo-labeling for Scalable 3D Object Detection.

Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens

CoRR, 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, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

3D-MAN: 3D Multi-Frame Attention Network for Object Detection.

Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning a Multi-Domain Curriculum for Neural Machine Translation.

Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

StarNet: Targeted Computation for Object Detection in Point Clouds.

Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan

CoRR, 2019

Learning a Multitask Curriculum for Neural Machine Translation.

Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh

CoRR, 2019

Using Videos to Evaluate Image Model Robustness.

Keren Gu, Brandon Yang, Jiquan Ngiam, Quoc V. Le, Jonathon Shlens

CoRR, 2019

Soft Conditional Computation.

Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam

CoRR, 2019

CondConv: Conditionally Parameterized Convolutions for Efficient Inference.

Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.

Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Xu Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, Zhifeng Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Domain Adaptive Transfer Learning with Specialist Models.

Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang

CoRR, 2018

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.

Yanping Huang, Yonglong Cheng, Dehao Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Zhifeng Chen

CoRR, 2018

2017

Real-time programming exercise feedback in MOOCs.

Zhenghao Chen, Andy Nguyen, Amory Schlender, Jiquan Ngiam

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2011

Sparse Filtering.

Jiquan Ngiam, Pang Wei Koh, Zhenghao Chen, Sonia A. Bhaskar, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning.

Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations.

Juhan Nam, Jiquan Ngiam, Honglak Lee, Malcolm Slaney

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Multimodal Deep Learning.

Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, Andrew Y. Ng

Proceedings of the 28th International Conference on Machine Learning, 2011

Learning Deep Energy Models.

Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng

Proceedings of the 28th International Conference on Machine Learning, 2011

On optimization methods for deep learning.

Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Tiled convolutional neural networks.

Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Daniel Jin hao Chia, Pang Wei Koh, Andrew Y. Ng

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

I2R ImageCLEF Photo Annotation 2009 Working Notes.

Jiquan Ngiam, Hanlin Goh

Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Learning Global and Regional Features for Photo Annotation.

Jiquan Ngiam, Hanlin Goh

Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009