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Shengye Yan

3 accepted papers

2024

Bounding Box-Guided Pseudo Point Clouds Early-Fusion and Density Optimize for 3D Object Detection

ICASSP 2024accepted

3D point clouds are used for 3D object detection. The sparsity and noises of point clouds poses a significant challenge primarily due to difficulties in capturing LiDAR data and LiDAR sensor performance. Typically, the number of captured point cloud data is lower than the real point density of real…

Cited by 0SourceScholar
2024

Self Knowledge Distillation Based On Layer-Wise Weighted Feature Imitation For Efficient Object Detection

ICASSP 2024accepted

Knowledge Distillation (KD)[1] is a widely-used technology to inherit information from cumbersome teacher models to compact student models, consequently realizing model compression and acceleration. Compared with image classification, object detection is a more complex task, and designing specific K…

Cited by 0SourceScholar