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Jiquan Ngiam
Jiquan Ngiam
Google Brain
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Titel
Zitiert von
Zitiert von
Jahr
Multimodal deep learning
J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng
Proceedings of the 28th international conference on machine learning (ICML …, 2011
38972011
Scalability in perception for autonomous driving: Waymo open dataset
P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
23692020
Gpipe: Efficient training of giant neural networks using pipeline parallelism
Y Huang, Y Cheng, A Bapna, O Firat, D Chen, M Chen, HJ Lee, J Ngiam, ...
Advances in neural information processing systems 32, 2019
14352019
On optimization methods for deep learning
QV Le, J Ngiam, A Coates, A Lahiri, B Prochnow, AY Ng
Proceedings of the 28th international conference on international conference …, 2011
13182011
Condconv: Conditionally parameterized convolutions for efficient inference
B Yang, G Bender, QV Le, J Ngiam
Advances in neural information processing systems 32, 2019
5922019
ICA with reconstruction cost for efficient overcomplete feature learning
Q Le, A Karpenko, J Ngiam, A Ng
Advances in neural information processing systems 24, 2011
4492011
Tiled convolutional neural networks
J Ngiam, Z Chen, D Chia, P Koh, Q Le, A Ng
Advances in neural information processing systems 23, 2010
4452010
Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
3752021
End-to-end multi-view fusion for 3d object detection in lidar point clouds
Y Zhou, P Sun, Y Zhang, D Anguelov, J Gao, T Ouyang, J Guo, J Ngiam, ...
Conference on Robot Learning, 923-932, 2020
3692020
Sparse filtering
J Ngiam, Z Chen, S Bhaskar, P Koh, A Ng
Advances in neural information processing systems 24, 2011
3562011
Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection
Y Li, AW Yu, T Meng, B Caine, J Ngiam, D Peng, J Shen, Y Lu, D Zhou, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2402022
Learning deep energy models
J Ngiam, Z Chen, PW Koh, AY Ng
Proceedings of the 28th international conference on machine learning (ICML …, 2011
2142011
Scene transformer: A unified architecture for predicting multiple agent trajectories
J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ...
arXiv preprint arXiv:2106.08417, 2021
1772021
Just pick a sign: Optimizing deep multitask models with gradient sign dropout
Z Chen, J Ngiam, Y Huang, T Luong, H Kretzschmar, Y Chai, D Anguelov
Advances in Neural Information Processing Systems 33, 2039-2050, 2020
1562020
Domain adaptive transfer learning with specialist models
J Ngiam, D Peng, V Vasudevan, S Kornblith, QV Le, R Pang
arXiv preprint arXiv:1811.07056, 2018
1282018
Starnet: Targeted computation for object detection in point clouds
J Ngiam, B Caine, W Han, B Yang, Y Chai, P Sun, Y Zhou, X Yi, O Alsharif, ...
arXiv preprint arXiv:1908.11069, 2019
1112019
UFLDL tutorial
A Ng, J Ngiam, CY Foo, Y Mai, C Suen
Chapters available at http://deeplearningstanford. edu/wiki/index. php …, 2012
1102012
A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations.
J Nam, J Ngiam, H Lee, M Slaney
Ismir, 175-180, 2011
1102011
3d-man: 3d multi-frame attention network for object detection
Z Yang, Y Zhou, Z Chen, J Ngiam
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
852021
Improving 3d object detection through progressive population based augmentation
S Cheng, Z Leng, ED Cubuk, B Zoph, C Bai, J Ngiam, Y Song, B Caine, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
842020
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