44 citations · 44 across the 1 of their papers we have counts for
3 papers
cs.CV2026★ 44 cited
EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic Segmentation
Mingkui Tan, Zhuangwei Zhuang, Sitao Chen +4
We study multi-sensor fusion for 3D semantic segmentation that is important to scene understanding for many applications, such as autonomous driving and robotics. Existing fusion-b…
cs.CV2024
ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving
Rongqing Li, Changsheng Li, Yuhang Li +5
Trajectory prediction of agents is crucial for the safety of autonomous vehicles, whereas previous approaches usually rely on sufficiently long-observed trajectory to predict the f…
cs.LG2024
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
Rongqing Li, Jiaqi Yu, Changsheng Li +3
Deep learning models are usually black boxes when deployed on machine learning platforms. Prior works have shown that the attributes (e.g., the number of convolutional layers) of a…