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2020 – today
- 2022
[c23]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:
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CVPR 2022: 17161-17170- [c22]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:
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. ICLR 2022 - [i17]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:
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR abs/2203.08195 (2022) - 2021
- [c21]Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam:
3D-MAN: 3D Multi-Frame Attention Network for Object Detection. CVPR 2021: 1863-1872 - [c20]Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov:
To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels. CVPR 2021: 16000-16009 - [c19]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:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV 2021: 9690-9699 - [i16]Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens:
Pseudo-labeling for Scalable 3D Object Detection. CoRR abs/2103.02093 (2021) - [i15]Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam:
3D-MAN: 3D Multi-frame Attention Network for Object Detection. CoRR abs/2103.16054 (2021) - [i14]Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Benjamin Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR abs/2104.10133 (2021) - [i13]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:
Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR abs/2106.08417 (2021) - [i12]Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov:
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels. CoRR abs/2106.13381 (2021) - 2020
- [c18]Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh:
Learning a Multi-Domain Curriculum for Neural Machine Translation. ACL 2020: 7711-7723 - [c17]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:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CVPR 2020: 2443-2451 - [c16]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:
Improving 3D Object Detection Through Progressive Population Based Augmentation. ECCV (21) 2020: 279-294 - [c15]Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen:
Streaming Object Detection for 3-D Point Clouds. ECCV (18) 2020: 423-441 - [c14]Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov:
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. NeurIPS 2020 - [i11]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:
Improving 3D Object Detection through Progressive Population Based Augmentation. CoRR abs/2004.00831 (2020) - [i10]Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen:
Streaming Object Detection for 3-D Point Clouds. CoRR abs/2005.01864 (2020) - [i9]Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov:
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. CoRR abs/2010.06808 (2020)
2010 – 2019
- 2019
- [c13]Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan:
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds. CoRL 2019: 923-932 - [c12]Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Xu Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, Zhifeng Chen:
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism. NeurIPS 2019: 103-112 - [c11]Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam:
CondConv: Conditionally Parameterized Convolutions for Efficient Inference. NeurIPS 2019: 1305-1316 - [i8]Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam:
Soft Conditional Computation. CoRR abs/1904.04971 (2019) - [i7]Keren Gu, Brandon Yang, Jiquan Ngiam, Quoc V. Le, Jonathon Shlens:
Using Videos to Evaluate Image Model Robustness. CoRR abs/1904.10076 (2019) - [i6]Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh:
Learning a Multitask Curriculum for Neural Machine Translation. CoRR abs/1908.10940 (2019) - [i5]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:
StarNet: Targeted Computation for Object Detection in Point Clouds. CoRR abs/1908.11069 (2019) - [i4]Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan:
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds. CoRR abs/1910.06528 (2019) - [i3]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:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CoRR abs/1912.04838 (2019) - 2018
- [i2]Yanping Huang, Yonglong Cheng, Dehao Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Zhifeng Chen:
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism. CoRR abs/1811.06965 (2018) - [i1]Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang:
Domain Adaptive Transfer Learning with Specialist Models. CoRR abs/1811.07056 (2018) - 2017
- [c10]Zhenghao Chen, Andy Nguyen, Amory Schlender, Jiquan Ngiam:
Real-time programming exercise feedback in MOOCs. EDM 2017 - 2011
- [c9]Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng:
On optimization methods for deep learning. ICML 2011: 265-272 - [c8]Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, Andrew Y. Ng:
Multimodal Deep Learning. ICML 2011: 689-696 - [c7]Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng:
Learning Deep Energy Models. ICML 2011: 1105-1112 - [c6]Juhan Nam, Jiquan Ngiam, Honglak Lee, Malcolm Slaney:
A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations. ISMIR 2011: 175-180 - [c5]Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam, Andrew Y. Ng:
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning. NIPS 2011: 1017-1025 - [c4]Jiquan Ngiam, Pang Wei Koh, Zhenghao Chen, Sonia A. Bhaskar, Andrew Y. Ng:
Sparse Filtering. NIPS 2011: 1125-1133 - 2010
- [c3]Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Daniel Jin hao Chia, Pang Wei Koh, Andrew Y. Ng:
Tiled convolutional neural networks. NIPS 2010: 1279-1287
2000 – 2009
- 2009
- [c2]Jiquan Ngiam, Hanlin Goh:
Learning Global and Regional Features for Photo Annotation. CLEF (2) 2009: 287-290 - [c1]Jiquan Ngiam, Hanlin Goh:
I2R ImageCLEF Photo Annotation 2009 Working Notes. CLEF (Working Notes) 2009
Coauthor Index
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