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Haoteng Li

2 accepted papers

2025

D2S: Towards Efficient Sparse 3D Object Detection via Dense to Sparse Knowledge Distillation

ICASSP 2025accepted

LiDAR-based 3D object detection is widely used in high-level autonomous driving schemes. However, the cumbersome modules in most 3D detectors lead to substantial computational overhead. Despite knowledge distillation (KD) is an effective approach for compressing models, previous methods cannot be ex…

Cited by 0SourceScholar
2025

Dualdiff: Dual-Branch Diffusion Model for Autonomous Driving with Semantic Fusion

ICRA 2025

Accurate and high-fidelity driving scene reconstruction relies on fully leveraging scene information as conditioning. However, existing approaches, which primarily use 3D bounding boxes and binary maps for foreground and background control, fall short in capturing the complexity of the scene and int

Cited by 5SourceScholar