1 citations · 1 across the 2 of their papers we have counts for
4 papers
FLUID: Continuous-Time Hyperconnected Sparse Transformer for Sink-Free Learning
Waleed Razzaq, Yun-Bo Zhao
Continuous-time (CT) Transformers improve irregular and long-range modeling over CT-RNNs by exploiting inputs or outputs embeddings with continuous dynamics. However, the core scal…
SimpleVSF: VLM-Scoring Fusion for Trajectory Prediction of End-to-End Autonomous Driving
Peiru Zheng, Yun Zhao, Zhan Gong +2
End-to-end autonomous driving has emerged as a promising paradigm for achieving robust and intelligent driving policies. However, existing end-to-end methods still face significant…
SimpleBEV: Improved LiDAR-Camera Fusion Architecture for 3D Object Detection
Yun Zhao, Zhan Gong, Peiru Zheng +2
More and more research works fuse the LiDAR and camera information to improve the 3D object detection of the autonomous driving system. Recently, a simple yet effective fusion fram…
SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving
Peiru Zheng, Yun Zhao, Zhan Gong +2
Many fields could benefit from the rapid development of the large language models (LLMs). The end-to-end autonomous driving (e2eAD) is one of the typically fields facing new opport…