Liu, X., Song, Z., Chen, H., Li, X., & Liang, X. (2024). MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks. DAC: Annual ACM/IEEE Design Automation Conference, 61, 223. https://doi.org/10.1145/3649329.3655905
Chicago Style (17th ed.) CitationLiu, Xueyuan, Zhuoran Song, Hao Chen, Xing Li, and Xiaoyao Liang. "MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks." DAC: Annual ACM/IEEE Design Automation Conference 61 (2024): 223. https://doi.org/10.1145/3649329.3655905.
MLA (9th ed.) CitationLiu, Xueyuan, et al. "MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks." DAC: Annual ACM/IEEE Design Automation Conference, 61, 2024, p. 223, https://doi.org/10.1145/3649329.3655905.