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Bonan Ding

2 accepted papers

2025

SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection

AAAI 2025technical

Multimodal 3D object detection based on deep neural networks has indeed made significant progress. However, it still faces challenges due to the misalignment of scale and spatial information between features extracted from 2D images and those derived from 3D point clouds. Existing methods usually ag…

2023

C2BN: Cross-Modality and Cross-Scale Balance Network for Multi-Modal 3D Object Detection

ICASSP 2023accepted

Multi-modal 3D object detection that classifies and locates objects in 3D space by combining point-clouds captured by lidars and RGB images captured by cameras, serves as the basis for autonomous driving. Most of the existing methods aggregate features from point-clouds and images by plain element-w…

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