1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2026
TrafficAlign: Aligning Large Language Models for Traffic Scenario Generation
Zhi Tu, Liangkun Niu, Tianyi Zhang
Recent research has investigated the use of large language models (LLMs) to generate traffic scenarios for autonomous driving. However, pretrained LLMs often fail to align with rea…
cs.SE2025★ 1 cited
Multi-modal Traffic Scenario Generation for Autonomous Driving System Testing
Zhi Tu, Liangkun Niu, Wei Fan +1
Autonomous driving systems (ADS) require extensive testing and validation before deployment. However, it is tedious and time-consuming to construct traffic scenarios for ADS testin…
cs.CV2023★ 1 cited
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
Lu Ling, Yichen Sheng, Zhi Tu +17
We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view sy…