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Yuxiang Lan

2 accepted papers

2023

Efficient Converted Spiking Neural Network for 3D and 2D Classification

ICCV 2023poster

Spiking Neural Networks (SNNs) have attracted enormous research interest due to their low-power and biologically plausible nature. Existing ANN-SNN conversion methods can achieve lossless conversion by converting a well-trained Artificial Neural Network (ANN) into an SNN. However, converted SNN requ…

Cited by 16PDFScholar
2023

Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency

AAAI 2023technical

As manual point-wise label is time and labor-intensive for fully supervised large-scale point cloud semantic segmentation, weakly supervised method is increasingly active. However, existing methods fail to generate high-quality pseudo labels effectively, leading to unsatisfactory results. In this p…

Cited by 11SourcePDFScholar