Jiquan Ngiam

Computer Science · Physical Sciences

27h-index10.0kcitations46works0.02yr avg
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Research Topics

Advanced Neural Network Applications(23), Autonomous Vehicle Technology and Safety(16), Domain Adaptation and Few-Shot Learning(10), Video Surveillance and Tracking Methods(8), Robotics and Sensor-Based Localization(6)

Publications46 total

Securing the Model Context Protocol (MCP): Risks, Controls, and Governance
arXiv (Cornell University)·2025Open Access
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 484 cited
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
arXiv (Cornell University)·2022· 24 citedOpen Access
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 438 cited
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
arXiv (Cornell University)·2021Open Access
Scene Transformer: A unified architecture for predicting multiple agent\n trajectories
arXiv (Cornell University)·2021· 53 citedOpen Access
Scene Transformer: A unified multi-task model for behavior prediction and planning
arXiv (Cornell University)·2021· 48 citedOpen Access
Scene Transformer: A unified architecture for predicting multiple agent trajectories
arXiv (Cornell University)·2021· 9 citedOpen Access
3D-MAN: 3D Multi-frame Attention Network for Object Detection
2021· 113 cited
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
2021· 70 cited
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
arXiv (Cornell University)·2021Open Access
Large Scale Interactive Motion Forecasting for Autonomous Driving : The\n Waymo Open Motion Dataset
arXiv (Cornell University)·2021· 1 citedOpen Access
3D-MAN: 3D Multi-frame Attention Network for Object Detection
arXiv (Cornell University)·2021· 4 citedOpen Access
Pseudo-labeling for Scalable 3D Object Detection
arXiv (Cornell University)·2021· 5 citedOpen Access
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
arXiv (Cornell University)·2020· 64 citedOpen Access
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
2020· 2.8k cited
Streaming Object Detection for 3-D Point Clouds
arXiv (Cornell University)·2020· 6 citedOpen Access
Improving 3D Object Detection through Progressive Population Based Augmentation
arXiv (Cornell University)·2020· 12 citedOpen Access
Learning a Multi-Domain Curriculum for Neural Machine Translation
2020· 32 citedOpen Access
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Neural Information Processing Systems·2020· 10 cited
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Frequent Co-authors

Vijay Vasudevan(19), Benjamin Caine(17), Jonathon Shlens(15), Dragomir Anguelov(14), Quoc V. Le(14), Yuning Chai(12), Pei Sun(10), Zhifeng Chen(8), Yin Zhou(7), Brandon Yang(7), Aurélien Chouard(6), Wei Han(6), Scott Ettinger(6), Andrew Y. Ng(6), Shuyang Cheng(6), Chenxi Liu(6), Henrik Kretzschmar(5), James C. Y. Guo(5), Zhifeng Chen(5), Daiyi Peng(4)