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In this paper, we propose a novel method termed SPEAL to leverage skeletal representations for effective learning of intrinsic topologies of point clouds, facilitating robust capture of geometric intricacy.
Xiong, Kezheng, et al. "SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 6. 2024.
In this paper, we propose a novel unsupervised registration method termed INTEGER to incorporate high-level contextual information for reliable pseudo-label mining.
Xiong, Kezheng, et al. "Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration." The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024).
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Undergraduate course, Xiamen University, 2024
Supporting undergraduate students in mastering fundamental data structures and algorithms. Conducting lab sessions, office hours, and exam preparation for 90+ students in C++ programming and algorithmic thinking.