1 citations · 1 across the 5 of their papers we have counts for
5 papers
InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
Junhao Cai, Zetao Cai, Jiafei Cao +39
Prevalent Vision-Language-Action (VLA) models are typically built upon Multimodal Large Language Models (MLLMs) and demonstrate exceptional proficiency in semantic understanding, b…
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…
Efficient LLM inference solution on Intel GPU
Hui Wu, Yi Gan, Feng Yuan +8
Transformer based Large Language Models (LLMs) have been widely used in many fields, and the efficiency of LLM inference becomes hot topic in real applications. However, LLMs are u…