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Hongil Yoon

2 accepted papers

2025

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction

ICCV 2025poster

Deep neural networks have revolutionized 3D point cloud processing, yet efficiently handling large and irregular point clouds remains challenging. To tackle this problem, we introduce FastPoint, a novel software-based acceleration technique that leverages the predictable distance trend between sampl…

2023

Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud

AAAI 2023technical

Applying deep neural networks to 3D point cloud processing has demonstrated a rapid pace of advancement in those domains where 3D geometry information can greatly boost task performance, such as AR/VR, robotics, and autonomous driving. However, as the size of both the neural network model and 3D poi…