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3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds.

F. Liu, S. Li, L. Zhang, C. Zhou, R. Ye, Y. Wang, and J. Lu. CoRR, (2017)

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Zhe Wang University of Stuttgart

Dr. Dongren Wang University of Stuttgart

Dr. rer. nat. Lei Wang University of Stuttgart

Yi Wang University of Stuttgart

Yao Wang University of Stuttgart

Other publications of authors with the same name

Self-Supervised Low-Rank Representation (SSLRR) for Hyperspectral Image Classification.Y. Wang, J. Mei, L. Zhang, B. Zhang, A. Li, Y. Zheng, and P. Zhu. IEEE Trans. Geoscience and Remote Sensing, 56 (10): 5658-5672 (2018)A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval.Y. Wang, L. Zhang, X. Tong, L. Zhang, Z. Zhang, H. Liu, X. Xing, and P. Mathiopoulos. IEEE Trans. Geoscience and Remote Sensing, 54 (10): 6020-6034 (2016)3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds.F. Liu, S. Li, L. Zhang, C. Zhou, R. Ye, Y. Wang, and J. Lu. CoRR, (2017)Multi-View Features Joint Learning with Label and Local Distribution Consistency for Point Cloud Classification.G. Tong, Y. Li, D. Chen, S. Xia, J. Peethambaran, and Y. Wang. Remote Sensing, 12 (1): 135 (2020)DS4L: Deep Semisupervised Shared Subspace Learning for Hyperspectral Image Classification.X. Zhao, L. Liu, Y. Wang, L. Zhang, and A. Plaza. IEEE Trans. Geosci. Remote. Sens., (2022)A Structure-Aware Global Optimization Method for Reconstructing 3-D Tree Models From Terrestrial Laser Scanning Data.Z. Wang, L. Zhang, T. Fang, P. Mathiopoulos, H. Qu, D. Chen, and Y. Wang. IEEE Trans. Geoscience and Remote Sensing, 52 (9): 5653-5669 (2014)PSASL: Pixel-Level and Superpixel-Level Aware Subspace Learning for Hyperspectral Image Classification.J. Mei, Y. Wang, L. Zhang, B. Zhang, S. Liu, P. Zhu, and Y. Ren. IEEE Trans. Geoscience and Remote Sensing, 57 (7): 4278-4293 (2019)A Three-Step Approach for TLS Point Cloud Classification.Z. Li, L. Zhang, X. Tong, B. Du, Y. Wang, L. Zhang, Z. Zhang, H. Liu, J. Mei, X. Xing and 1 other author(s). IEEE Trans. Geosci. Remote. Sens., 54 (9): 5412-5424 (2016)A Gestalt rules and graph-cut-based simplification framework for urban building models.Y. Wang, L. Zhang, P. Mathiopoulos, and H. Deng. Int. J. Applied Earth Observation and Geoinformation, (2015)A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification.Z. Zhang, L. Zhang, X. Tong, P. Mathiopoulos, B. Guo, X. Huang, Z. Wang, and Y. Wang. IEEE Trans. Geoscience and Remote Sensing, 54 (6): 3309-3321 (2016)

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Disambiguation of "Wang, Yuebin"

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3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds.

Please choose a person to relate this publication to

Zhe Wang University of Stuttgart

Dr. Dongren Wang University of Stuttgart

Dr. rer. nat. Lei Wang University of Stuttgart

Yi Wang University of Stuttgart

Yao Wang University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Wang, Yuebin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds.

Please choose a person to relate this publication to

Zhe Wang University of Stuttgart

Dr. Dongren Wang University of Stuttgart

Dr. rer. nat. Lei Wang University of Stuttgart

Yi Wang University of Stuttgart

Yao Wang University of Stuttgart

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds.