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DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

Y. Li, A. Yu, T. Meng, B. Caine, J. Ngiam, D. Peng, J. Shen, B. Wu, Y. Lu, D. Zhou, Q. Le, A. Yuille, and M. Tan. CoRR, (2022)

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Learning Deep Energy Models.J. Ngiam, Z. Chen, P. Koh, and A. Ng. ICML, page 1105-1112. Omnipress, (2011)A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations.J. Nam, J. Ngiam, H. Lee, and M. Slaney. ISMIR, page 175-180. University of Miami, (2011)Learning a Multitask Curriculum for Neural Machine Translation.W. Wang, Y. Tian, J. Ngiam, Y. Yang, I. Caswell, and Z. Parekh. CoRR, (2019)Using Videos to Evaluate Image Model Robustness.K. Gu, B. Yang, J. Ngiam, Q. Le, and J. Shlens. CoRR, (2019)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, and V. Vasudevan. CoRL, volume 100 of Proceedings of Machine Learning Research, page 923-932. PMLR, (2019)Scene Transformer: A unified multi-task model for behavior prediction and planning.J. Ngiam, B. Caine, V. Vasudevan, Z. Zhang, H. Chiang, J. Ling, R. Roelofs, A. Bewley, C. Liu, A. Venugopal and 4 other author(s). CoRR, (2021)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, P. Nguyen and 3 other author(s). CoRR, (2019)CondConv: Conditionally Parameterized Convolutions for Efficient Inference.B. Yang, G. Bender, Q. Le, and J. Ngiam. NeurIPS, page 1305-1316. (2019)GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.Y. Huang, Y. Cheng, A. Bapna, O. Firat, D. Chen, M. Chen, H. Lee, J. Ngiam, Q. Le, Y. Wu and 1 other author(s). NeurIPS, page 103-112. (2019)Multimodal deep learningJ. Ngiam, A. Khosla, M. Kim, J. Nam, H. Lee, and A. Ng. ICML, (2011)

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Disambiguation of "Ngiam, Jiquan"

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DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

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Disambiguation of "Ngiam, Jiquan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

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DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.