← Authors

Jiquan Ngiam

16 papers · 2010–2022 · 7 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (33) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (12) 🌟 Keyword Trendsetter Combo (4) πŸ‘₯ Mega-Team (23) 🧬 Topic Evolution πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (78) πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ’Ž Century Club (16)

Conferences

NIPS (6) CVPR (4) ECCV (2) ACL (1) CORL (1) ICCV (1) ICLR (1)

Top co-authors

Vijay Vasudevan (7) Benjamin Caine (6) Dragomir Anguelov (6) zhifeng Chen (5) Jonathon Shlens (5) Yuning Chai (4) Quoc V Le (4) Pei Sun (4) Quoc V. Le (4) Yin Zhou (4)

Research topics

Core AI (1)

Keywords

3d object detection (5) autonomous driving (5) convolutional neural network (4) feature learning (3) unsupervised feature learning (2) 3d detection (2) independent component analysis (1) domain adaptation (1) image classification (1) neural machine translation (1) multi-view fusion (1) transfer learning (1) point cloud (1) model architecture (1) multi-modal learning (1) curriculum learning (1) pedestrian detection (1) object tracking (1) conditional computation (1) motion forecasting (1)

Papers

Scene Transformer: A unified architecture for predicting future trajectories of multiple agents ICLR 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection CVPR 2022
3D-MAN: 3D Multi-Frame Attention Network for Object Detection CVPR 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset ICCV 2021
To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels CVPR 2021
Scalability in Perception for Autonomous Driving: Waymo Open Dataset CVPR 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout NIPS 2020
Learning a Multi-Domain Curriculum for Neural Machine Translation ACL 2020
Streaming Object Detection for 3-D Point Clouds ECCV 2020
Improving 3D Object Detection through Progressive Population Based Augmentation ECCV 2020
CondConv: Conditionally Parameterized Convolutions for Efficient Inference NIPS 2019
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism NIPS 2019
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds CORL 2019
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NIPS 2011
Sparse Filtering NIPS 2011
Tiled convolutional neural networks NIPS 2010