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OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement

Published in Proceedings of the 2023 AAAI Conference on Artificial Intelligence (AAAI), 2023

Recommended citation: M. Cui, J. Long, M. Feng, B. Li, and K Huang*, OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement. Proceedings of the 2023 AAAI Conference on Artificial Intelligence (AAAI).
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A Du-Octree based Cross-Attention Model for LiDAR Geometry Compression

Published in 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024

Recommended citation: M. Cui, M. Feng, J. Long, D. Hu, S. Zhao, and K. Huang*. A Du-Octree based Cross-Attention Model for LiDAR Geometry Compression，2024 IEEE International Conference on Robotics and Automation (ICRA).
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An End-to-End ConvLSTM-based Method for Point Cloud Streaming Compression

Published in 2024 IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2024

Recommended citation: J. Long, M. Feng, B. Li, Y. Ling, C. Wu, K. Huang, and M. Cui*, An End-to-End ConvLSTM-based Method for Point Cloud Streaming Compression, 2024 IEEE International Conference on Advanced Robotics and Mechatronics (ICARM).
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GAEM: Graph-driven Attention-based Entropy Model for LiDAR Point Cloud Compression

Published in IEEE Transactions on Circuits and Systems for Video Technolog, 2025

Recommended citation: M. Cui, Y. Zhong, M. Feng, J. Long, Y. Ling, J. Xu, and K Huang*, GAEM: Graph-driven Attention-based Entropy Model for LiDAR Point Cloud Compression, IEEE Transactions on Circuits and Systems for Video Technology
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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