Jiquan Ngiam - RankMe

41 papers A* 13B 1Misc 1Journal 18Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Securing the Model Context Protocol (MCP): Risks, Controls, and Governance. CoRR Herman Errico, Jiquan Ngiam, Shanita Sojan
2022	A*	`conf`	DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CVPR 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	J	`jnl`	DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR 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
2022	A*	`conf`	Scene Transformer: A unified architecture for predicting future trajectories of multiple agents. ICLR 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	A*	`conf`	3D-MAN: 3D Multi-Frame Attention Network for Object Detection. CVPR Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam
2021	J	`jnl`	3D-MAN: 3D Multi-frame Attention Network for Object Detection. CoRR Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam
2021	A*	`conf`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV 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
2021	J	`jnl`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR 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
2021	J	`jnl`	Pseudo-labeling for Scalable 3D Object Detection. CoRR Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens
2021	J	`jnl`	Scene Transformer: A unified multi-task model for behavior prediction and planning. CoRR 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
2021	A*	`conf`	To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels. CVPR Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov
2021	J	`jnl`	To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels. CoRR Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov
2020	—	`conf`	Improving 3D Object Detection Through Progressive Population Based Augmentation. ECCV (21) 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	J	`jnl`	Improving 3D Object Detection through Progressive Population Based Augmentation. CoRR 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	A*	`conf`	Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. NeurIPS Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
2020	J	`jnl`	Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. CoRR Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
2020	A*	`conf`	Learning a Multi-Domain Curriculum for Neural Machine Translation. ACL Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh
2020	A*	`conf`	Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CVPR 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	—	`conf`	Streaming Object Detection for 3-D Point Clouds. ECCV (18) Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
2020	J	`jnl`	Streaming Object Detection for 3-D Point Clouds. CoRR Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
2019	A*	`conf`	CondConv: Conditionally Parameterized Convolutions for Efficient Inference. NeurIPS Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam
2019	Misc	`conf`	End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds. CoRL Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan
2019	J	`jnl`	End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds. CoRR Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan
2019	A*	`conf`	GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism. NeurIPS Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Xu Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, Zhifeng Chen
2019	J	`jnl`	Learning a Multitask Curriculum for Neural Machine Translation. CoRR Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh
2019	J	`jnl`	Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CoRR 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
2019	J	`jnl`	Soft Conditional Computation. CoRR Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam
2019	J	`jnl`	StarNet: Targeted Computation for Object Detection in Point Clouds. CoRR 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
2019	J	`jnl`	Using Videos to Evaluate Image Model Robustness. CoRR Keren Gu, Brandon Yang, Jiquan Ngiam, Quoc V. Le, Jonathon Shlens
2018	J	`jnl`	Domain Adaptive Transfer Learning with Specialist Models. CoRR Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang
2018	J	`jnl`	GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism. CoRR Yanping Huang, Yonglong Cheng, Dehao Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Zhifeng Chen
2017	B	`conf`	Real-time programming exercise feedback in MOOCs. EDM Zhenghao Chen, Andy Nguyen, Amory Schlender, Jiquan Ngiam
2011	—	`conf`	A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations. ISMIR Juhan Nam, Jiquan Ngiam, Honglak Lee, Malcolm Slaney
2011	—	`conf`	ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning. NIPS Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam, Andrew Y. Ng
2011	A*	`conf`	Learning Deep Energy Models. ICML Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng
2011	A*	`conf`	Multimodal Deep Learning. ICML Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, Andrew Y. Ng
2011	A*	`conf`	On optimization methods for deep learning. ICML Quoc V. Le, Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Andrew Y. Ng
2011	—	`conf`	Sparse Filtering. NIPS Jiquan Ngiam, Pang Wei Koh, Zhenghao Chen, Sonia A. Bhaskar, Andrew Y. Ng
2010	—	`conf`	Tiled convolutional neural networks. NIPS Quoc V. Le, Jiquan Ngiam, Zhenghao Chen, Daniel Jin hao Chia, Pang Wei Koh, Andrew Y. Ng
2009	—	`conf`	I2R ImageCLEF Photo Annotation 2009 Working Notes. CLEF (Working Notes) Jiquan Ngiam, Hanlin Goh
2009	—	`conf`	Learning Global and Regional Features for Photo Annotation. CLEF (2) Jiquan Ngiam, Hanlin Goh