Sotabase

Career

· Co-Founder, CEO, Lutra AI2023–
· Co-Founder, CEO, MintMCP2023–
· Tinkerer, Self-employed2022–2023
· Senior Staff Engineer, Google Brain2018–2022
· Employee #1, Director of Engineering, Coursera2012–2017
· Intern, Google2011–2011
· PhD in Computer Science, Stanford University2009–2011
· B.S., Computer Science, Carnegie Mellon University2005–2008

Publications (45)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Computer Vision and Pattern Recognition · 2019
3,675
cited
Multimodal Deep Learning
International Conference on Machine Learning · 2011
3,419
cited
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Neural Information Processing Systems · 2018
1,964
cited
On optimization methods for deep learning
International Conference on Machine Learning · 2011
1,043
cited
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Neural Information Processing Systems · 2019
764
cited
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
IEEE International Conference on Computer Vision · 2021
742
cited
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
Computer Vision and Pattern Recognition · 2022
463
cited
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
Conference on Robot Learning · 2019
386
cited
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
Neural Information Processing Systems · 2011
379
cited
Tiled convolutional neural networks
Neural Information Processing Systems · 2010
349
cited
Sparse Filtering
Neural Information Processing Systems · 2011
273
cited
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Neural Information Processing Systems · 2020
269
cited
Scene Transformer: A unified architecture for predicting multiple agent trajectories
2021
236
cited
Learning Deep Energy Models
International Conference on Machine Learning · 2011
200
cited
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents
International Conference on Learning Representations · 2022
181
cited
StarNet: Targeted Computation for Object Detection in Point Clouds
arXiv.org · 2019
125
cited
3D-MAN: 3D Multi-frame Attention Network for Object Detection
Computer Vision and Pattern Recognition · 2021
121
cited
Domain Adaptive Transfer Learning with Specialist Models
arXiv.org · 2018
115
cited
A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations
International Society for Music Information Retrieval Conference · 2011
89
cited
Scene Transformer: A unified multi-task model for behavior prediction and planning
arXiv.org · 2021
88
cited
Sotabase
Jiquan Ngiam | Researcher Profile | Sotabase | Sotabase